FIRST SEMESTER BACHELOR IN BUSINESS ADMINISTRATION COURSE: 03 Business Mathematics BLOCK-3

Size: px
Start display at page:

Download "FIRST SEMESTER BACHELOR IN BUSINESS ADMINISTRATION COURSE: 03 Business Mathematics BLOCK-3"

Transcription

1 BBA (S) 0-0 KRISHNA KANTA HANDIQUI STATE OPEN UNIVERSITY Pgon,Rnig, Guwi FIRST SEMESTER BACHELOR IN BUSINESS ADMINISTRATION COURSE: 0 Businss Mmics BLOCK- CONTENTS UNIT 6 : LOGARITHM UNIT 7 : BINOMIAL THEOREM UNIT 8 : MATRICES UNIT 9 : LIMIT AND CONTINUITY REFERENCES : FOR ALL UNITS

2 Subjc Eprs. Profssor Nripnr Nryn Srm, Mnirm Dwn Scool of Mngmn, KKHSOU. Profssor Muninr Kki, VC, ARGUCOM. Profssor Rinlini Pk Kki,Dp.of Busniss Aminisrion, GU Cours Coorinor : Hrkrisn Dk, K.K.H.S.O.U Dr, Cynik Snpi,KKHSOU Dr. Smriisik Couury,KKHSOU SLM Prprion Tm Unis Conribuor 0 & S. K. J, Luming Collg, Luming Dr. Dibyjyoi Mn, KKHSOU Mrs. Ajn Mjumr, Gui Commrc Collg Eioril Tm Conn : Prof. N.R. Ds, Gui Univrsiy Dr. Snjy Du, PETC, Gui Univrsiy Srucur Form & Grpics : Hrkrisn Dk, KKHSOU Jun 07 Tis Slf Lrning Mril (SLM) of Krisn Kn Hniqui S Opn Univrsiy is m vilbl unr Criv Commons Aribuion-Non Commrcil-Sr Alik.0 Licns (inrnionl): p://crivcommons.org/licnss/by-nc-s/.0/ Prin n publis by Rgisrr on blf of Krisn Kn Hniqui S Opn Univrsiy. Hqurrs : Pgon, Rni G, Guwi Housf Compl, Dispur, Guwi-78006; Wb: T Univrsiy cknowlgs wi nks finncil suppor provi by Disnc Eucion Buru, UGC for prprion of is suy mril.

3 BACHELOR IN BUSINESS ADMINISTRATION BUSINESS MATHEMATICS Block DETAILED SYLLABUS UNIT0: Drivivs of funcions Pg : (-6) Gomricl inrprion of riviv of funcion,driviv of vrious snr funcions, Driviv of sum n iffrnc of funcions, Driviv of prouc of funcions n quoin rul, UNIT : Applicion of Drivivs Pg : (6-7) Mimum n minimum of funcion Applicion of mim n minim, UNIT : Ingrion n Mos of Ingrion Pg : (75-) Inroucion, Ingrion of simpl funcions, propris of Ingrls, Mo of Ingrion: Ingrion by subsiuion, Ingrion by prs, Ingrion by pril frcions. UNIT : Linr progrmming problm Pg : (-) Mning,Coniions for Using LPP Tcniqu, Bsic Assumpions of LPP, Ars of pplicions of LPP, Limiions of LPP, Gnrl Linr Progrmming Problm, Formion of LPP of Two Vribl, Som Dfiniions, Grpicl Mo of Soluion of LPP.

4 BLOCK INTRODUCTION Tis is scon block of cours Businss Mmics. T block consiss of four unis. T n uni ls wi concp of rivivs n rivivs of vrious funcion. T lvn uni ls wi pplicion of rivivs suc s fining mim n minim of funcions. In wlf uni, bsics of Ingrl clculus r inrouc.in is uni,w will iscuss iffrn mos of Ingrion. T irn uni inroucs us o concp of Linr progrmming problm.in is uni,w will iscuss formion n grpicl soluion of Linr progrmming problm. Wil going roug uni, you will noic som long-so bos, wic v bn inclu o lp you know som of ifficul, unsn rms. Som ACTIVITY (s) s bn inclu o lp you pply your own ougs. Agin, w v inclu som rlvn concps in LET US KNOW long wi. An, n of c scion, you will g CHECK YOUR PROGRESS qusions. Ts v bn sign o slf-cck your progrss of suy. I will b br if you solv problms pu in s bos immily fr you go roug scions of unis n n mc your nswrs wi ANSWERS TO CHECK YOUR PROGRESS givn n of c uni.

5 UNIT 0: DERIVATIVE OF FUNCTIONS UNIT STRUCTURE 0. Lrning objcivs. 0. Inroucion 0. Gomricl inrprion of riviv of funcion. 0. Driviv of vrious snr funcions. 0.5 Driviv of sum n iffrnc of funcions. 0.6 Driviv of prouc of funcions n quoin rul. 0.7 Driviv of composi funcions. 0.0 L Us Sum Up. 0. Answrs o Cck Your Progrss 0. Furr Rings 0. Mol Qusions. 0. LEARNING OBJECTIVES Afr going roug is uni, you will b bl o : y unrsn gomricl mning of f / () or vlu riviv of lgbric, rigonomricl, ponnil n logrim funcions. rmin rivivs of composi funcions (funcion of funcions). vlu riviv of implici funcions. 0. INTRODUCTION W v lry inrouc concp of riviv in uni. In is uni, w iscuss lgbr of riviv incluing riviv of crin snr funcion. T noion of iffrniion is ssnilly concrn wi r of crg of pnn vribl wi rspc o n inpnn vribl. In is uni, w lso iscuss nur of funcion wos numror n nominor bo pproc o zro priculr poin (Inrmin form). I is cll inrmin form. Som inrmin Businss Mmics (Block )

6 Uni 0 Driviv of Funcions forms r 0 0,,, 0,, 0 o, o c. 0. GEOMETRICAL INTERPRETATION OF DERIVATIVE L yf() b funcion. L P (c, f(c)) n Q (c, f(c)) b wo nigbouring poins on grp of yf(). f(c ) Slop of Cor PQ (c ) - f(c) - c f(c )- f(c) Wn Q P long curv, cor PQ bcoms ngn PT P. Tus, slop of cor PQ 0 T Q (C, f(c)) P bcoms slop of ngn P wn Q P, i.. 0 Q (c, f(c)) X f(c ) f(c) Slop of ngn P lim 0 f '/ (c) ( by finiion) Also, if θ is ngl m by ngn P wi - is, n slop o ngn P nθ. f(c ) f(c) Tus, f '/ (c)nθ lim 0 No :- If ngn is prlll o -is, n f / (c)0. 0. DERIVATIVES OF VARIOUS STANDARD FUNCTIONS. (k) 0, k is ny consn 0. (co) cosc. (). (sc) sc n. (n ) n n. (cosc ) cosc. co Businss Mmics (Block )

7 Driviv of Funcions Uni 0. ( ) 5. (log ) 7. (sin) cos 8. (cos) sin 9. (n) sc Proof :. L y f() k f() k y By finiion, lim 0 f( ) f() k k (k) lim 0 0. L y f() f() y By finiion, lim 0 f( ) f() () lim 0 lim 0. L y f() n f () () n By finiion, y f( ) f() lim 0 n n n ( ) lim 0 Cs I : L n b posiiv ingr ( ) Businss Mmics (Block )

8 Uni 0 Driviv of Funcions lim 0 ( ) n n lim 0 lim 0 n n n n n n n c c... n n c n c n n c n... n n n Cs II : L n b ngiv ingr or frcion lim 0 ( ) n n lim 0 n n n lim n n(n ) n n....! 0 lim 0 n n(n ) n.....! n.n. n n n for ll rionl n, ( ). L y f() f() By finiion, y lim 0 f( ) f() n n ( ) lim 0 lim 0.. lim 0 Businss Mmics (Block )

9 Driviv of Funcions Uni 0 5. L y f() log f() log () By finiion, y lim 0 f( log ( log) lim 0 lim 0 ) f() log ( ) log lim 0 log lim... 0 lim L y f() sin f() sin () By finiion, y lim 0 f( ( sin) lim 0 lim 0 ) f() sin( cos ) sin sin sin lim cos. 0 lim lim. 0 0 sin Businss Mmics (Block ) 5

10 Uni 0 cos. cos 8. L y f() cos f() cos () By finiion, y lim 0 ( cos) lim 0 f( 0 ) f() cos( lim ) cos sin sin Driviv of Funcions sin lim sin 0 sin limsin lim. 0 0 sin. 9. L y f() n By finiion f() n () y lim 0 f( ( n ) lim 0 lim 0 0 ) f() n( ) n sin( ) cos( ) sin cos sin( )cos cos( )sin lim cos( )cos lim sin( ) 0 cos( )cos sin lim. lim 0 0 cos( )cos 6 Businss Mmics (Block )

11 Driviv of Funcions Uni 0. cos.cos sc 0. L y f() co f() co () By finiion, y lim 0 f( ( co ) lim 0 0 ) f() co( ) co cos( ) cos lim sin( ) sin lim 0 lim 0 sin cos( ) cos sin( ) sin( )sin sin{ ( ) } sin( )sin lim 0 sin( ) sin( )sin sin lim. lim 0 0 sin( ).sin. sin.sin cosc. L y f() sc f() sc () By finiion, y lim 0 f( ( sc ) lim 0 ) f() sc( ) sc lim 0 cos( ) cos lim 0. cos cos( ) cos( )cos lim 0. sin sin cos( ) cos Businss Mmics (Block ) 7

12 Uni 0 Driviv of Funcions lim 0 sin. sin. cos( )cos sin lim sin. lim 0 0 sin.. cos.cos sin. cos cos sc. n.. L y f() cosc By finiion, f() cosc () y lim 0 f( ( cos c ) lim 0 0 ) f() cos c(. { cos( ).cos } lim 0 ) cosc lim sin ( ) sin lim 0 lim 0 sin sin( ).sin( )sin cos sin sin( ) sin.cos sin lim sin( )sin 0 8 Businss Mmics (Block )

13 Driviv of Funcions Uni 0 lim 0 cos sin. sin( ).sin cos lim sin( ).sin.lim 0 0 sin cos. sin.sin cosc co 0.5 THE DERIVATIVE OF SUM AND DIFFERENCE OF FUNCTIONS Torm.5. If f n f r wo iffrnibl funcions on inrvl I, n f b ir sum funcion so f f f, Tn f is iffrnibl n f f f Proof : L b ny poin of I n b nigbouring poin. Tn, f() f () f () n f() f () f () f()-f() f () f () f () f () f( ) f() f( ) f() f ( ) f () lim 0 f( ) f() lim 0 f ( ) Q f n f r iffrnil in I f lim 0 n f lim 0 () lim 0 f ( ) ( ) f () f f( ) f() f () f () is. lim 0 f () f() f ( ) f () () Businss Mmics (Block ) 9

14 Uni 0 Tis sows f is iffrnibl n f() f () f() i.., f f f Torm.5. If f n f r wo iffrnibl funcions on inrvl I, n f b ir iffrnc funcion so ff f n f is iffrnibl n f f f Proof : Try yourslf. ILLUSTRATIVE EXAMPLE : Driviv of Funcions Empl. Fin rivivs of following wi rspc o. Soluion : ) () b) blog log 0 ) log ( log ) ( log ) c) { } { ( )} ) ( ) ( ) () ( ) ( ) () blog b log b) ( ) ( ) ( ) log 0 b. c) ( ) log 0 log log 0 b ( log ) log0 50 Businss Mmics (Block )

15 Driviv of Funcions Uni 0 ) log 0 log log log log log () log log log 0. log log Empl : Fin rivivs of y wi rspc o for following 9 ) y co b) y n sin c) y log 7 sc Soluion : ) y y 9 co sin 9 sin co 9 ( cos c) (co ) ( ) 9( cos c.co ) ( cos c ) log 9 cos c.co cos c log b) y n ( n ) y ( n ) ( ) ( ) sc c) y log 7 sc y ( log sc ) 7 7 ( log ) ( ) ( sc ) 7 6 sc n Businss Mmics (Block ) 5

16 Uni 0 Driviv of Funcions Empl : Fin poin on curv y wic ngn is prlll o is. Soluion : Givn y ( ) y For ngns prlll o is, w v y 0 0 y T poin is 9, CHECK YOUR PROGRESS - ) Fin riviv of following funcions wi rspc o. ) b) sin c) cosc ) ) log( ) f) sin cos ) Prov no ngn o curv y is prlll o is. 0.6 Driviv of prouc of funcions n quoin rul Torm.6. : L u() n v() b wo iffrnibl funcions. Tn prouc u() v() is lso iffrnibl n / / ( u()v() ) u()v () v()u () Proof : L b ny poin in omin, n b nigbouring poin. f()u()v() f() u()v() 5 Businss Mmics (Block )

17 Driviv of Funcions Uni 0 f() f() u()v() u()v() u()v() u()v()u()v() u()v() u() {v() v()} v() {u() u()} f ( ) f ( ) v( ) v( ) u( ) u( ) u( ). v( ) lim 0 f( ) f() lim u(). lim 0 0 u(). lim 0 Qu n v r iffrnibl. u / () lim 0 n v / () lim () lim 0 0 u( ) u() f( v( v( ) v() Tus f is iffrnbl n f / ()u()v / ()v()u / () v( ) v() v() lim 0 ) v() v(). lim 0 ) f() u()v / ()v()u / () i.., (f())u()v/ ()v()u / () u( u( ) u() ) u()... () i.., u()v() u()v/ ()v()u / (). Corollry : If u, v, w r r iffrnbl funcions, n (u()v()w())u/ ()v()w()v / ()u()w()w / ()u()v() Torm.6. : L u() n v() b wo iffrnibl funcions in sm inrvl, n quoin funcion u() v() v() u() v() ( u() ) u() ( v() ) ( v() ) is lso iffrnibl n Proof : L f() u( ) v( ) v( ) u / ( ) u( ) v ( v( ) ) / ( ) u( ) f( ) v( ) Businss Mmics (Block ) 5

18 Uni 0 Driviv of Funcions u( ) f( ) f() v( ) u() v() v()u( ) u()v( ) v( )v() f( ) f() v()u( ) v()u() v()u() u()v( ).v( )v() [ ] [ ] v() u( ) u() u() v() v( ).v( )v() v( ). [ u( ) u( ) ] [ v( ) v( ) ] u( ) v( ) v( ) lim 0 f( lim u( ) u( ) lim v( ) v( ) v( ). u( ). ) f() 0 0 v( ). v( ) Q u() n v() r iffrnibl u / () lim 0 n v / () lim 0 lim () 0 u ( ) u ( ) v ( ) v( ) f( ) f() v( ) u Tus, f() is iffrnibl n v( ) u f / () / ( ) u( ) v { v( ) } / ( ) / ( ) u( ) v { v( ) } / ( )... () i.. ( f() ) i.. v( ) u u() v( ) u v() / ( ) u( ) v { v( ) } / ( ) u( ) v ( v( ) ) Illusriv mpls : Empl : Fin rivivs of following funcions wi rspc o. / ( ) / ( ) ) b) log c) sin Soluion : ) ( ) ( ) ( ).. () 5 Businss Mmics (Block )

19 Driviv of Funcions Uni 0 b) ( log) log ( ) ( log) log.. log c) ( sin ) sin ( ) sin ( ) ( sin ) sin. sin. cos (sin sin cos) Empl : Fin rivivs of following wi rspc o. ) Soluion : ) cos b) log n log log cos log c) (cos) cos ( log ) ( log ) log ( sin ) cos. sin log sin log ( log ) cos. ( log ) ( log ) log cos log log log. b) n log log n n ( ) ( log ) ( log ) log. n n ( log ) n. Businss Mmics (Block ) 55

20 Uni 0 Driviv of Funcions c) n n log ( log ) n ( ) ( ) ( ) ( ).. ( ) ( ) ( ) Empl : Fin rivivs of following funcions wi rspc o. ) log b) sc c) ) sin log Soluion : ) ( log ) ( ) ( log ) ( ) log ( ) (log) () log ( ). b) 6 log ( ) ( ) ( ) ( ) ( ) ( )( ) ( )( ) ( ) ( ) ( ) 56 Businss Mmics (Block )

21 Driviv of Funcions Uni 0 ( ) (sc ) sc ( ) ( ) ( ).sc n sc ( ) ( ) sc { ( ) n } ( ) sc c) ) sin log sin ( ) log sin ( ) log sin ( ) ( ) ( log ) ( log ) log. sin..cos ( sin cos) Empl : If Soluion : W v y ( 0) ( ). ( log ) ( log) ( log ) y y, prov y( y) 5 y 5 5 ( 5) () ( 5) ( 5) ( 5). ( 0) ( 5) ( 5) 5 Businss Mmics (Block ) 57

22 Uni 0 Driviv of Funcions y 5... () ( 5) Also, y ( y) ( ) 5 From () n (), w g y y( y) () CHECK YOUR PROGRESS ) Fin rivivs of following funcions wi rspc o. n ) b) c) n ) 7 log ) log n f) ) If y sin prov cos ) If f(), fin f / (). g) log ( ) y cos 0.7 Driviv of composi funcions : If y φ () n f(), n y φ (f()) is composi funcion. Empls of composi funcions r cos, sin, log cos, sin c. Torm.7. : L y φ () wn f(). Tn y y. Proof : L k b incrmn in corrsponing o incrmn in. Q f()... () k f ( )... () () () k f() f()... () 58 Businss Mmics (Block )

23 Driviv of Funcions Uni 0 Also, 0 givs k or k 0 Now, φ (f()) φ () φ (f()) φ (k) φ (f()) φ (f()) φ (k) φ () φ ( f( ) ) φ( f() ) φ( k) φ() k. k φ( k) φ() f( ) f()., by () k Tking limi on bo sis, w g lim 0 φ ( f( ) ) φ( f() ) φ lim k 0 ( φ ( f ( )) ) ( φ( ) ). ( f ( ) ) φ( y ( ) ) ( y). ( ) y. Gnrlision of bov orm : L yf(u), ug(), () n ( k) φ( ) k f. lim 0 ( ) f( ) y y u.. u Tus, if composi funcion y is funcion of mny funcions, n y ( ( s n funcion) funcion) (. ( Abov is lso known s cin Rul. Illusriv mpls : n r funcion) funcion) (ls... funcion) Empl : Fin rivivs of following funcions wi rspc o. ) cos sin b) c) sc. Soluion : ) L ( cos ) ( cos ) Businss Mmics (Block ) cos. ( ) sin. 59

24 Uni 0 Driviv of Funcions b) L sin y sin By cin rul sin, wr u, wr u sin y y. u u. u ( ) (sin). ( ) u u cos. sin.cos sin cos c) L y sc sc u, wr u, wr scu By cin rul y y. u u. u ( ). ( sc u ). ( ) scu nu. 9sc u. scu nu 9sc n. Empl : Fin rivivs of following funcions wi rspc o ) y log( ) b) ylog log log c) ycos ) y co (m n b) Soluion : ) L ylog By cin rul, y y. ( log ). 60 Businss Mmics (Block )

25 Driviv of Funcions Uni 0.. ( ) b) y log log log L v log log w log y y. v v w w.. (log v). (log w). (log ). ( ) v w... v w loglog.log. (loglog )(log ) c) y cos cos u,wr u By cin rul, y y. u u ( cos u) ( ) u. u Businss Mmics (Block ) 6

26 Uni 0 Driviv of Funcions ) y co (mn b) co (m n u), wr u b, co v, wr v mn u, w, wr w co v. By cin rul, w g, y y. w w v u.. v u v u (w). ( co v ). ( mn u ). ( b) w m....b. v u mb { ( m n b) }( b ) Empl : Prov riviv of n vn funcion is lwys n o funcion. Soluion : L f b n vn funcion. Tn f() f( ) f() / / f ( ) f ( ) f( ) ( ) / f ( ).( ) f / ( ) f / ( ) f / () f / is n o funcion. sin Empl : If y,prov y ( ) y Soluion : y sin... () y. sin. ( ) 6 Businss Mmics (Block )

27 Driviv of Funcions Uni 0 sin. y y ( ) y CHECK YOUR PROGRESS ) Fin rivivs of following funcions wi rspc wi rspc o. ) y log (sc n ) b) y sin(cos ) c) y log y ) Fin of following. ) y log b c b) y c) y log (. ) ) y sin. log ) Prov riviv of n o funcion is lwys n vn funcion. 0.0 LET US SUM UP y poin on givn curv y f() rprsns grin of ngn lin poin. y For ngns prlll o is, 0, (k) 0 (k cons n) n ( ) n n Businss Mmics (Block ) 6

28 Uni 0 Driviv of Funcions ( ) (log ) (sin ) (cos ) (n ) cos sin sc (co ) cosc (sc ) (cos c) sc.n cos c.co ± (f ± f f ) u (uv) v. f v u. u v v. u. u, v 0 v v If y f(u), u g(), (), n y y u.. u If u n v r wo funcions of suc uf() n v g(), n u Driviv of u wi rspc o v Driviv of v wi rspc o 6 Businss Mmics (Block )

29 Driviv of Funcions Uni 0 0. ANSWERS TO CHECK YOU PROGRESS Cck your progrss -. ) b) sin ( ) ( ) ( ) ( ) 0 ( ) ( sin ) ( ) ( ) cos ( ) cos 5 c) ( cos c ) ( cos c) ( ) coscco log ) ( ) 0 ( ) ( ) ( ) ) { log( )} ( log log log ) ( log log log) ( log) ( log) ( ) ( log ) 0 Businss Mmics (Block ) 65

30 Uni 0 Driviv of Funcions f) ( sin cos ) ( sin ) ( cos ) ( ) ( ). Givn, y ( ) y ( ) ( ) 0 for R ( sin) log 0 sin log y Tr os no is ny vlu of for wic 0 No ngn o curv y will b prlll o sis. Cck your progrss - ) ) ( ) ( ) ( ) ( ) ( ) ( )( 0) ( )( 0) ( ) ( 6 8) ( 6 9) ( ) ( ) b) n n ( n ) ( n ) ( n ) ( n ) ( n ) 66 Businss Mmics (Block )

31 Driviv of Funcions Uni 0 ( )( ) ( )( sc ) n sc n ( n ) sc ( n n ) n ( ) c) sc ( ) n ( ) ( ) ( ) ( ) ( ). ( ) ( ) ( ) ( ) ) ( 7 log ) ( 7 log) 7 ( ) ( log) 7 ( ) ( ) log ( ) ( log) ) [ log n ] 7[.. log] log.. 7 ( log ) log ( log n ) ( ) ( ) n ( log) log ( n ) ( ) ( ) 0 Businss Mmics (Block ) 67

32 Uni 0 n. log.sc [.. ] Driviv of Funcions n log sc [ ] f) ( ) ( ) ( ) ( ) ( ) ( ) 0 ( ) 0 ( ) ( ) ( ) ( ) ( ) g) [ log( )] [ log log log ]. y sin cos y [ log log log] ( log) () log ( ) [ Q log ] log sin cos ( cos ) ( sin ) sin ( cos ) ( cos ) ( cos )( cos ) sin ( sin ) ( cos ) 68 Businss Mmics (Block )

33 Driviv of Funcions Uni 0 cos cos sin cos cos ( ) cos ( ) cos. Givn, f() f / (). f / () () ()() Cck your progrss - ) ) y log(scn) By cin rul log wr sc n y y. ( log ) ( sc n ) Businss Mmics (Block ) 69

34 Uni 0 ( sc n sc ) sc (n sc ) sc n sc. b) y sin(cos) sin,wr cos By cin rul y y. cos ( sin) cos(cos). sin ( sin ) (cos ) c) y log By cin rul, log,wr y y. ( log ). ( ). ) y log y log, wr By cin rul Driviv of Funcions 70 Businss Mmics (Block )

35 Driviv of Funcions Uni 0 y y. (log).. b c b) y y, wr bc By cin rul, y y. ( ). ( b c) (b) ( b c ).( b) c) y log (. ) log log log y ) y sin log y ( log) ( sin log) ( ).sin log log ( sin) sin ( log) sin log log.cos. sin. sin log log.cos sin Businss Mmics (Block ) 7

36 Uni 0 Driviv of Funcions. L f b n o funcion. Tn f( ) f() f ( ) { f() } f / / ( ) ( ) f ( ) f / ( ).( ) f / () f / ( ) f / () f / ( )f / () f is n vn funcion. 0. FURTHER READING ) Srm, A.K.,T Book of Diffrnil Clculus for B.A,B.Sc, B.Com,I.A.S.,P.C.S., Nw Dli,Discovry Publising Hous,00,s iion. ) Hbib, Ambr.,T clculus of finnc, Hyrb,Univrsiis Prss Ini Pv. L.0,s iion. ) Gup, Suir.,Bsics of Diffrnnil Clculus,Nw Dli,Anmol publicion Pv. L,0, s iion. ) Mron, I.A. Problms in clculus of on vribl,nw Dli,CBS publisrs & Disribuors Pv L.99,s iion. 0. MODEL QUESTIONS () Diffrni following wi rspc o () 5 (b) b (c) sc () log () Businss Mmics (Block )

37 Driviv of Funcions Uni 0 (f) sin n cos 9 (g) ( ) () Fin iffrnil cofficin of following wi rspc o () (b) ( b ) (c) log( ) () log( ) () Diffrni following wi rspc o () ( sin ) cos (b) ( n ) log sin (c) ( log ) ( sin ) sin () ( ) y () Fin if sin cos sin () ( ) ( ) y sin cos (b) y by 0 (c) y log y () y y 0 *** ***** *** Businss Mmics (Block ) 7

38 UNIT : APPLICATION OF DERIVATIVES UNIT STRUCTURE. Lrning objcivs. Inroucion. Mimum n minimum of funcion.. Mos for fining mimum n minimum.5 Applicion of mim n minim.6 L us sum up.7 Answrs o cck your progrss..8 Furr Rings.9 Mol Qusions. LEARNING OBJECTIVES Afr going roug is uni, you will b bl o fin mimum n minimum vlu of funcion rmin poins on givn curv wr rmum is, if ny. INTRODUCTION In is uni, w sll iscuss mimum n minimum of funcion. Also, w lso iscuss mos of fining mimum n minimum vlus of funcion. Lsly, w will iscuss pplicion of mim n minim.. MAXIMUM AND MINIMUM OF A FUNCTION A funcion f() is si o v mimum if f() is grr n vry or vlu ssum by f() in immi nigbouroo of. Tis mns f() > f() n f() > f( ) for sufficinly smll posiiv. (S fig..) Similrly, funcion f() is si o v minimum b if f(b) is 7 Businss Mmics (Block )

39 Applicion of Drivivs Uni smllr n vry or vlu ssum by f() in immi nigbouroo of b. Tis mns f(b) < f(b) n f(b) < f(b ) for sufficinly smll posiiv (S fig.5). Gomriclly, funcion f coninuous poin s mimum or minimum poin ccoring s grp of f s pk or cviy poin. No : i) T mimum n minimum vlus of funcion r lso known s locl (rliv) mim or locl (rliv) minm s s r grs n ls vlus of funcion rliv o som nigbouroo of poin in qusion. T rm rmum is lso us for bo mimum n minimum vlu. ii) A locl mimum vlu poin my b lss n locl minimum vlu nor poin. iii) A funcion cn v svrl mimum n minimum vlus. T mimum n minimum vlus of coninuous funcion occur lrnivly. iv) A mimum, funcion f() cngs from incrsing o crsing s n minimum funcion f()cngs from crsing o incrsing s... Mos of fining mimum or minimum Mo I : y ) Fin y ) Solv quion 0 for rl vlus of. L s vlus b, b, c c. y ) Consir. Suy sign of for vlus of sligly lss n n sligly grr n. y ) If cngs sign from posiiv o ngiv, n f() is mimum. Businss Mmics (Block ) 75

40 Uni Applicion of Drivivs y If cngs sign from ngiv o posiiv, n f() is minimum. y If os no cng sign, n is poin nir of mimum nor of minimum. Mo II : Sps I n r sm s in mo I. y. Fin n pu vlus. Consir. y i) If <0, n f() is mimum. y ii) If >0, n f() is minimum. y y iii) If 0 bu 0, n r is nir mimum nor minimum. Illusriv Empls Empl : Fin for wic f()(5 ) is mimum. W is mimum vlu of f()? Soluion : Givn, f()(5 ) f() 5 f / () 5 For on rmum, w v f / () Also, f // () ( 5 ) f // 5 < 0 76 Businss Mmics (Block )

41 Applicion of Drivivs Uni 5 f() is mimum n mimum vlu 5 f Empl : Fin vlus of Mimum n Minimum of y 6 0. Soluion : Givn y 6 0 y ( ) 6 6 For mimum or minimum y 0 6( 6) 0 ( )( ) 0 6 or y Now, 6, ( ) A A y y, ( ) 6 0 < 0 > Tus y is mimum poin n is minimum poin. Minimum vlu of y ( ) ( ) 6( ) n Mimum vlu of y ( ) ( ) 6( ) 0 Businss Mmics (Block )

42 Uni Applicion of Drivivs Empl : Sow funcion y s mimum vlu n minimum vlu. Soluion : Givn y y 9 ( ) y For mimum n minim, 0 y Now, y A, < 0 y A, > 0 ( ) 0 ( )( ) 0, Tus y is mimum n mimum vlu is ( ) 6( ) 9( ) 8 - y is minimum n minimum vlu is ( ) 6( ) 9( ) 8 8 CHECK YOUR PROGRESS ) Fin mimum or minimum vlus of following funcions. ) 6 b) c) 5 78 Businss Mmics (Block )

43 Applicion of Drivivs Uni. APPLICATION OF MAXIMA AND MINIMA TO PROBLEMS T ory of mim n minim fins pplicions in prcicl lif. For mpl, on s o fin ou rlion bwn rius n ig of conicl n wic my v ifini cpciy n sm im us minimum moun of clo. In solving suc yp of problms w fin ou funcion wos mimum or minimum s o b foun ou. If i involvs wo vribls, n by limining on vribl from givn, funcion is ruc o on ving only on vribl. Empl : T sum of wo numbrs is consn. Prov ir prouc is mimum wn c numbr is lf of ir sum. Soluion : L wo numbrs b n y. Tn yconsn c, sy y c... () L P b prouc of numbrs. Tn P y P (c ), by () P c P c For mimum or minimum vlu of P, w v P 0 c 0 P c Now, ( c ) < 0 P is mimum wn c Also, wn c, w g from () y c Hnc P is mimum wn y c i.., prouc is mimum wn c numbr is lf of ir sum. Businss Mmics (Block ) 79

44 Uni Applicion of Drivivs CHECK YOUR PROGRESS ) Fin wo numbrs wos sum is 0 n prouc is mimum..5 LET US SUM UP y rprsns r of cng of y wi rspc o. T vlus of obin on solving f / ()0 r cll sionry or criicl poins. A funcion v locl mimum or minimum s poins ccoring f // ()<0 or f // ()>0 rspcivly..6 ANSWERS TO CHECK YOUR PROGRESS Cck your progrss -. () L f() 6 f / () 6 For mimum or minimum, w v f / ()0 60 Now, f // () ( 6) f // () 80 Businss Mmics (Block )

45 Applicion of Drivivs Uni f // > 0 f() is minimum wn n minimum vlu is f (b) L f() f ( ) / For mimum or minimum, w v f / () ()( )0, Now, f // () 0 // f ( ) < 0 f() is mimum, n mimum vlu is f( ). Agin, f // () > 0 f() is minimum n minimum vlu is f() Businss Mmics (Block ) 8

46 Uni Applicion of Drivivs. (c) L f() 5 f / () 0 For mimum or minimum, w v f / () ( 5) 0 ( )( )0, Now, f // () ( 0 ) f // < 0 f() is mimum wn n mimum vlu is f Also, f // () 0 8 > 0 f() is minimum wn n minimum vlu is f() Businss Mmics (Block )

47 Applicion of Drivivs Uni Cck your progrss -. L wo numbrs b n y. Accoring o qusion, y 0 y 0... () L P b prouc of numbrs P y P (0 ), using () P 0 P 0 For mimum or minimum of P, w v P P Now, ( 0 ) < 0 P is mimum wn 0 Also, 0 givs y0 T numbrs r 0 n 0..7 FURTHER READING ) Srm,A.K.,T Book of Diffrnil Clculus for B.A,B.Sc,B.Com,I.A.S.,P.C.S.,Nw Dli,Discovry Publising Hous,00,s iion. ) Hbib,Ambr.,T clculus of finnc,hyrb,univrsiis Prss Ini Pv.L.0,s iion. ) Gup,Suir.,Bsics of Diffrnnil Clculus,Nw Dli,Anmol publicion Pv. L,0,s iion. Businss Mmics (Block ) 8

48 Uni Applicion of Drivivs ) Mron,I.A. Problms in clculus of on vribl,nw Dli,CBS publisrs & Disribuors Pv L.99,s iion..8 MODEL QUESTIONS ) Fin poins wic following funcions v mimum n minimum vlus : () y (b) y 6 *** ***** *** 8 Businss Mmics (Block )

49 UNIT : INTEGRATION AND METHODS OF INTEGRATION UNIT STRUCTURE. Lrning Objcivs. Inroucion. Inrgrion of Simpl Funcions. Propris of Infini Ingrls.5 Mos of Ingrion.5. Ingrion by Subsiuion.5. Ingrion by Prs.6 L Us Sum Up.7 Furr Rings.8 Answrs o cck your progrss.9 Mol Qusions. LEARNING OBJECTIVES Afr going roug is uni, you will b bl o unrsn bou ingrion of simpl funcions from viw poin of invrs of iffrniion know propris of infini ingrls unrsn vrious mos of ingrions viz mo of subsiuion ingrion by prs. INTRODUCTION T vlopmn of ingrl clculus cn b viw from wo iffrn ircions wic r rl o solving of problms of following wo yps. (i) o fin funcion wn is riviv is known (ii) o fin r boun by curv (or grp) of funcion unr crin givn coniions. Businss Mmics (Block ) 85

50 Uni Ingrion n Mos of Ingrion T procss rl o firs cgory ls o vlopmn of infini ingrion n or ls o fini ingrion. T wor ingrion lirlly mns summion. I is, in fc, procss of fining limi of sum of crin numbr of lmns, s numbr of lmns ns o infiniy n c of lmns bcoms infinisimlly smll. In is uni, w sll confin ourslvs o suy of infini ingrl incluing som procss of ingrion.. INTEGRATION OF SIMPLE FUNCTIONS W v lry lrn ow o fin riviv of funcionl of fin in n inrvl. If f ( ) y is funcion n is riviv is no y by f / ( ) or. Now, r in is uni, w will lrn ow o fin f wnvr / f is givn. Ingrion is invrs procss of iffrniion, i.., o fin funcion wn iffrnil cofficin is givn. L us consir following mpls. W know (i) n (ii) ( sin ) cos Hr w sy, in cs of (i) ingrl or primiiv) of. Similrly, in (ii) cos. L us k wo or mpls : is n niriviv (or n sin is n niriviv of n ( iii) C ( iv) ( sin C) I is vin from (iii), cos Hr C is ny rl numbr C is lso n niriviv of n in (iv) sin C is lso n niriviv of cos. Trfor, w v 86 Businss Mmics (Block )

51 Ingrion n Mos of Ingrion Uni unrsoo niriviv of funcion is no uniqu. Dfiniion : T s of funcions coul possibly v givn funcion s riviv r cll nirivivs (or ingrls or primiivs) of funcion. Mor gnrlly, if r is funcion φ ( ) fin in n inrvl I φ I, n for ny rl numbr C suc [ ( ) ] f ( ), [ φ( ) C] f ( ), I. Tus φ( ) C nos fmily of nirivivs of f ( ). W inrouc symbol ( ) f wic will rprsn wol clss of ni-rivivs, i.. f ( ) φ( ) C. T symbol f ( ) is r s infini ingrl of ( ) f wi rspc o. T procss of fining ni-rivivs is known s ingrion. T sign is cll ingrl sign. T symbol is n long S wic is kn from firs lr of sum. Som Bsic Rsuls Bs upon bov finiion n lso on som snr rivivs, w obin following ingrion formul.. Drivivs n n. ( ) cos n Ingrls (or ni rivivs) n n C, n sin cos sin C. ( cos ) sin. ( ) sc sin cos C n sc n C 5. ( ) ( n ) sc sc n sc n sc C 6. ( co ) cosc cosc co C 7. ( cosc) cosc co 8. ( ) cosc co cosc C C Businss Mmics (Block ) 87

52 Uni Ingrion n Mos of Ingrion Empls : Empl : Evlu ( i ) ( ii ) ( iii) Soluion : (i) 5 C C (using formul ) 5 ½ ½ ½ (ii) C (iii) C (using formul 9) log. PROPERTIES OF INDEFINITE INTEGRAL P Diffrniion n ingrion r invrs procsss of c or in sns of rsuls givn blow / ( ) f ( ) n ( ) f ( ) f C f C, C is consn. Proof : L φ ( ) b ny niriviv of f ( ) i.. [ φ( ) ] f ( ) C Tn f ( ) φ( ) f ( ) [ ( ) ] [ ( ) ] ( ) f ( ) φ C φ C (firs pr is prov) / Similrly, w know f ( ) f ( ) / Hnc ( ) f ( ) f C, C is ny rbirry consn. P- Two inicl ingrls wi sm riviv l o sm fmily of curvs n nc bo r quivln. Proof : L f ( ) g ( ) 0 Tn f ( ) g( ) or, [ f ( ) g ( ) ] 0 or, f ( ) g( ) or, f ( ) g( ) C C 88 Businss Mmics (Block )

53 Ingrion n Mos of Ingrion Uni I is cusomrily prss s ( ) g( ) consn of ingrion. P- [ f ( ) g( ) ] f ( ) g ( ) Proof : By propry P-, W v Also w know [ f ( ) g ( )] f ( ) g ( )... () [ f ( ) g( ) ] f ( ) g( ) f wiou mnioning ( ) g ( ) f (b) In viw of propry P-, from () n (b) w cn wri Corollry [ f ( ) g( ) ] f ( ) g( ) (A) [ f ( ) g( ) ] f ( ) g( ) (B) W cn gnrliz propry P- s blow - [ f ( ) g( ) ( )... φ( ) ] f ( ) g( ) ( )... φ( ) P- For ny rl numbr K, ( ) f ( ) K f K K, by propry P- Proof : W know f ( ) K f ( ) [ ] K f ( ) K f ( ) So by propry P- Also K f ( ) Illusriv Empls ( ) f ( ) K f K Empl : Evlu (i) (ii) ( cos ) Soluions : (i) (iii) ( sc ) (by propry P-) Businss Mmics (Block ) 89

54 Uni Ingrion n Mos of Ingrion C C C log C log C log C (ii) ( cos ) cos (Hr C C C C ) C sin C C C sin C sin C (iii) ( sc ) sc sc C n C n C C Empl : Evlu (i) 7 5 sin (ii) (iii) cos Soluion : (i) ( )( ) ( ) 90 Businss Mmics (Block )

55 Ingrion n Mos of Ingrion Uni ( ) (ii) C 7 5 (iii) C sin cos sin cos cos sc n sc C n sc C Empl : Wri n niriviv of cos. Soluion : W know ( sin ) cos or cos ( sin) sin niriviv of cos is sin C. CHECK YOUR PROGRESS - Q : Fin n niriviv of c of followings Q : Fin following ingrls (i) (i),( 0) (ii) (ii) ( cos sin ) sin (iii) ( b) Businss Mmics (Block ) 9

56 Uni Ingrion n Mos of Ingrion cos (iii) 5sin cos log log log (v) ( ) (vii) ( ) (viii) Q : Evlu (i) ( ) ( ) (iii) Q : If riviv of ( ) n fin f ( ). sin cos (iv) sin cos (vi) cos m m m m (ii) f w.r.. is n ( ) f π, Q 5: T grin poin (,y) of curv is n curv psss roug poin (, 7). Fin quion of curv..5 METHODS OF INTEGRATION In our rlir iscussion, w v consir ingrls of os funcions wic r rily obinbl from rivivs of som snr funcions. Tis mo is bs on inspcion, i.. i is pnn on src of funcion F wos riviv is f wic l us o ingrls of f. Bu ingrls of crin funcions cnno b obin ircly if y r no in on of snr forms. Hnc w n o vlop som or cniqus or mos for fining ingrls by rucing givn funcions o snr forms. Som of mos r (i) Ingrion by subsiuion, (ii) Ingrion by prs,(iii) Ingrion by pril frcions..5. Ingrion by Subsiuion T mo of vluing n ingrl by rucing i o snr form by propr subsiuion is cll ingrion by subsiuion. Suppos φ() is iffrnibl funcion. Tn o vlu / ingrls of form f ( φ( ) ) φ ( ), w subsiu φ( ) wic 9 Businss Mmics (Block )

57 Ingrion n Mos of Ingrion Uni / n givs φ ( ).. o form f ( ) If now f ( ) Tis subsiuion rucs bov ingrl is snr form n w cn fin ingrls. Finlly w rplc by wi lp of bov subsiuion. I is imporn o guss w will b usful subsiuion. Usully w mk subsiuion for funcion wos riviv lso occurs in ingrn. A fw mpls r givn blow o illusr mo. Illusriv Empls Empl : Evlu ( b) Soluion : L or n b, n n n n n n ( b) Empl : Evlu n ( ) ( b ) n C sin Soluion : L, n, or sin Now sin ( cos) C cos Empl :Evlu n C θ sc θ θ Soluion : L nθ, n sc θ θ Now 5 5 n θ sc θ θ C n θ log Empl : Evlu Soluion : L 0, n ( 0 log 0 0 ) C C Businss Mmics (Block ) 9

58 Uni Ingrion n Mos of Ingrion log 0 0 Now log C log( 0 ) C 0 0 A Fw Spcil Rsuls. f f / ( ) ( ) log f ( ) C / Proof : L f ( ) z, n f ( ) z Trfor, / ( ) ( ) f z log z C log f ( ) C f z Tis rsul cn b ppli in cs of followings () n log sc C (b) co log sin C (c) sc log sc n C () cosc log cosc co C sin sin cos cos Proof () : n Proof (c) : log cos C log sc C ( sc n ) sc sc sc n sc sc n sc n log sc n C N.B. : (b) n () r lf for lrnrs Q. Fin ingrls. 9 n CHECK YOUR PROGRESS- ( n ) sin. ( ). cos 7. ( b sin ) 0. ( )( log ) Businss Mmics (Block )

59 Ingrion n Mos of Ingrion Uni cos 5 ( ) ( ). ( ) b cos 8. sin 9. cos 0.. sin( ) sin( b). sin( ) cos( b) sin sin sin. ( ) 5. ( ).5. INTEGRATION BY PARTS An imporn ingrion formul cn b from riviv of prouc of wo funcions. W know from iffrnil clculus for wo iffrnibl funcions f ( ) n ( ) q, { f ( ). q( ) } f ( ). { q( ) } q( ). { f ( ) } Ingring bo sis w.r.. w g f ( ). q( ) f ( ). { q( ) } q( ). { f ( ) } f ( ) { q( ) } q( ). { f ( ) }....() or f ( ) { q( ) } f ( ) q( ) q( ). { f ( ) } Now l us k f ( ) u n { q( ) } v. Tn q( ) v. Businss Mmics (Block ) 95

60 Uni Ingrion n Mos of Ingrion If w subsiu r in () n w g v uv u v ( u). T bov formul cn b s s blow T ingrl of prouc of wo funcions s funcion ingrl of n funcion ingrl of [iffrnil cofficin of s funcion ingrl of n funcion] No : Wil pplying rul of ingrion by prs for prouc of wo funcions, i is vry imporn o coos firs n scon funcion vry crfully. As n i o lrnrs, w cn coos firs funcion s funcion coms firs in wor ILATE. Hr lrs sn for s givn blow I Invrs rigonomric funcion L Logrimic funcion A Algbric funcion T Trigonomic funcion E Eponnil funcion. ILLUSTRATIVE EXAMPLES Empl : Evlu Soluion : ( ) Hr w v kn s funcion n funcion ( ). {. } ( ) C ( ) C Empl : Evlu sin Soluion : sin sin ( ). sin 96 Businss Mmics (Block )

61 Ingrion n Mos of Ingrion Uni cos cos. cos cos sin cos C cos sin C 9 Empl : log Soluion : log log. Now k s funcion log n funcion n proc. Similrly in cs of sin w k sin n s scon funcion. s firs funcion ILLUSTRATIVE EXAMPLES Empl : Evlu cos Soluion :L I cos ( ) cos. cos sin sin ( ). sin sin sin sin cos cos ( sin cos ) I ( sin cos ) I I ( sin cos ) C Businss Mmics (Block ) 97

62 Uni Ingrion n Mos of Ingrion CHECK YOUR PROGRESS - Q. Evlu followings. cos. log. n. sin cos 5. sin cos. ( ). log ( ) sin sin. log( ) cos 5. ( ) cos sin 7. cos 8. sin 9. cos 0. sin. sc ( n ). ( log ) ( )( 5 ) sin. ( cos sin ) 6. sin ( ) 9. ( ) ( ).5. INTEGRATION BY PARTIAL FRACTIONS.6 LET US SUM UP Diffrniion n ingrion r invrs procsss of on nor W my lso fin ingrion s procss of fining limi of sum [T mo is iscuss in n uni]. T s of funcions coul possibly v in givn funcon s riviv r cll ni rivivs (or ingrs or primiivs) of funcion. 98 Businss Mmics (Block )

63 Ingrion n Mos of Ingrion Uni Bs on rsuls of som snr rivivs, w obin formul of som snr simpl Ingrion. Tr r iffrn mos for rminion of ingrls.som of mos r (i) Ingrion by subsiuion,(ii) Ingrion by prs,(iii)ingrion by pril frcions. A fw imporn forms of ingrls (i) / ( ) ( ) f log f ( ) C f n / n (ii) { f ( ) } f ( ) [ f ( ) ] C, n n / (iii) f ( b) f ( b) C An imporn formul for prouc of wo funcions is v uv u v ( u)..7 FURTHER READINGS ) Ingrl Clculus, Kisn,Hri,Alnic Publisrs & Disribuors.Nw Dli ) Ingrl Clculus, Dmi,H.S. Nw g Inrnionl Publisrs,Nw Dli ) T book of Ingrl Clculus,Srm,A.K. Discovry Publising Hous,Nw Dli Businss Mmics (Block ) 99

64 Uni Ingrion n Mos of Ingrion.8 ANSWERS TO CHECK YOUR PROGRESS CHECK YOUR PROGRESS Ans o Q No : (i) W know ( log ), > 0 n ( log ( ) ) ( ), < 0 Combining bov,w g ( log ), 0 Trfor, log is ni-riviv of. (ii) W know ( cos) sin sin ( cos ) sin cos Trfor, ni -riviv of sin is cos. (iii) W know ( b) ( b ) ( b) ( b) ( b) ( b) Trfor, ni -riviv of ( b) is ( b) Ans o Q No : (i). ( 5 ). 00 Businss Mmics (Block )

65 Ingrion n Mos of Ingrion Uni C C. (ii) ( cos sin ) ( cos sin sin cos ) ( sin ) cos C. cos (iii) co cosc sc 5sin cos 5 co cosc sc 5 n 5 ( cosc ) C sin cos sin cos (iv) sin cos sin cos sin cos ( sc cosc ) n co C log log log log log log (v) ( ) ( ) ( ). C. log (vi) cos cos, cos cos. (vii) ( ) cos sin C. Businss Mmics (Block ) 0

66 C 5 5. C 5 5 (viii) m m m m m m m m C m m m m m m log log. Ans o Q No : (i) L.Tn ( ) ( ) ( ) C C 6 6 (ii) ( ) ( )( ) ( ) C. (iii) Ingrion n Mos of Ingrion Uni 0 Businss Mmics (Block )

67 Ingrion n Mos of Ingrion Uni 6 6 C C C. 7 f / Ans o Q No : W v ( ) f ( ) Wn, w v f ( ) π n log C π π C C 0 ( ) log n f. y Ans o Q No 5: Givn, f ( ) / π ( ) f / ( ) ( ) f. C ( ) C f... () () psss roug poin (,-7). 7. C log n C Businss Mmics (Block ) 0

68 Uni C 9 Rquir quion of curv is ( ) 9 CHECK YOUR PROGRESS Ans o Q No : L 9 8 Ans o Q No : L 9 8 log C 8 f. log 9 C 8 ( ) Ingrion n Mos of Ingrion ( ) C ( ) C Ans o Q No : L n Ans o Q No : W pu n C scθ nθθ n C scθ scθ nθθ scθ sc θ scθ nθθ scθ n θ θ scθ θ sc 0 Businss Mmics (Block )

69 Ingrion n Mos of Ingrion Uni Ans o Q No 5: L θ C sc 5 C 5 C C Ans o Q No 6: L Ans o Q No 7: L cos ( b sin ) C ( 5) C sinθ cosθθ cosθ θ sin θ sin θ cosθ θ sin θ cosθ cosc θθ coθ C co ( sin ) C bsin b cos cos b b b Businss Mmics (Block ) 05

70 Uni Ingrion n Mos of Ingrion. C b. C b. b b sin C Ans o Q No 8: Diviing numror n nominor by L ( ) log C, w v log C Ans o Q No 9: L ( n ) sin Ans o Q No 0: n ( )( log ) sin co C co ( n ) C L log ( log ) ( ) log ( log ) 06 Businss Mmics (Block )

71 Ingrion n Mos of Ingrion Uni C ( log ) C Ans o Q No : L I sin I C In I,w subsiu I I sin C. Ans o Q No : L 7 ( 6 ) 7 ( ) ( ) C C C 7 C Ans o Q No : L (. ) ( ) Businss Mmics (Block ) 07

72 Uni ( ) sc cos n C n ( ) C ( ) cos Ans o Q No : Muliplying n iviing by,w v. ( ) ( ) ( ). 5 (. ) Ingrion n Mos of Ingrion 5 5 L 5 5 ( ) 5 ( ) ( ) C C C 08 Businss Mmics (Block )

73 Ans o Q No 5: 5 ( )( ) ( ) C Ans o Q No 6: ( ) ( )( ) b b b b ( ) ( ) ( ) b b ( ) ( ) ( ) b b b b { } b b b { } v v uu b wr u n v b u n v C v u b C v u b ( ) ( ) ( ) C b b Ans o Q No 7: ( ) cos cos cos [ ] cos cos cos cos Ingrion n Mos of Ingrion Uni 09 Businss Mmics (Block )

74 Uni Ingrion n Mos of Ingrion cos cos cos cos cos cos cos 8 8 sin sin C 8 Ans o Q No 8: From iniy sin sin sin sin sin sin sin sin sin cos cos C Ans o Q No 9: From iniy, cos cos cos cos cos Ans o Q No 0: L Ans o Q No : ( cos ) cos sin C ( ) 5 log C 5 7 ( 5 ) C log 7 W v sin ( ) sin ( b) sin ( b) sin sin {( b) ( ) } ( ) sin ( b) 0 Businss Mmics (Block )

75 Ingrion n Mos of Ingrion Uni Ans o Q No : sin sin co ( b) { co( ) ( b) } sin sin { log sin ( ) log ( b) } C ( b) ( ) ( b) sin cos c ( b) log C. sin cos( b) ( ) cos( b) cos( b) sin ( ) cos( b) cos{ ( b) ( ) } cos( b) sin ( ) cos( b) cos( ) cos( b) sin ( ) sin ( b) cos( b) sin ( ) cos( b) { co( ) n( b) } cos ( b) [ log sin ( ) log ( b) ] C ( b) cos cos cos ( b) sin log cos ( ) ( b) C. Ans o Q No : W v sin sin sin ( sin sin ) Ans o Q No : ( ) sin ( cos cos) sin ( sin cos sin cos) ( sin sin sin 6) cos cos cos6 C. 6 ( ) ( ) Businss Mmics (Block )

76 Uni Ingrion n Mos of Ingrion Ans o Q No 5: L ( ) ( ) z z pu z z z log z C log z C z log C ( 6 ) ( ) C z z. C. C. ( ) CHECK YOUR PROGRESS Ans o Q No : ( ) C. I n C 9 () 6 Ans o Q No 7: W v 6 5 ( ) 6 5 L,Tn 6 5 ( ) Businss Mmics (Block )

77 C log C 5 log. Ans o Q No 8: W v ( ) ( ) () L 5 5 From (), ( ) ( ) C log. 5 C log 5 C log Ans o Q No 9: W v ( ) { } Ingrion n Mos of Ingrion Uni Businss Mmics (Block )

78 5 C 5 sin C 5 sin. Ans o Q No 7: W v ( ) Now ( ) ( ) C sin C sin. Ingrion n Mos of Ingrion Uni Businss Mmics (Block )

79 Ingrion n Mos of Ingrion Uni Ans o Q No 8: L A ( 5 6) B ( ) B A 5 Compring cofficins of lik powrs of, w g A n 5 A B A n B 5 6 ( 5) 5 6 ( 5) wr log 5 6 C log 5 6 C Ans o Q No 9: W pu, so ( ) ( ). n n C [ ] C Ans o Q No 0: W pu, so. Also, ( ) Businss Mmics (Block ) 5

80 Uni Ingrion n Mos of Ingrion [ ( ) ] ( ) ( ). C C CHECK YOUR PROGRESS Ans o Q No : cos C sin sin [ ( cos ) ( cos ) ] sin sin cos sin ( ) sin cos Ans o Q No : log log log. log log log... C log C. 6 Ans o Q No : n n n. 6 Businss Mmics (Block )

81 Ingrion n Mos of Ingrion Uni n n Ans o Q No 6: ( ) n ( ) ( ) [ ( ). ( ) ] ( ) Ans o Q No 9: L sin,tn sin cos sin cos sin. ( sin ) sin cos C sin sin C sin C Ans o Q No : W subsiu,w g cos cos Ans o Q No 7: W pu cos [ sin sin ] [ sin ] C cos [ sin ] C cos nθ,so sc θθ θ sc θ n cos cos θ sc n ( cosθ ) sc θθ θθ θθ [ θ nθ.nθ ] [ θ nθ logsc ] C θ θ [ n log ] C. Businss Mmics (Block ) 7

82 Uni Ingrion n Mos of Ingrion I sin cos cos Ans o Q No 8: L ( ) I cos ( sin cos ) I I ( sin cos ) cos sin sin sin I Ans o Q No 0: L I sin sin ( cos cos) cos cos ( cos sin ) ( cos sin ) 0 C ( cos sin ) ( cos sin ) C sin cos sin cos Ans o Q No : W v ( ) sin cos cos sin C Ans o Q No : L I sc ( n ) ( sc sc n ) / Also, l sc f ( ) sc n f ( ) W know, { f ( ) f ( ) } f ( ) C / I sc C. Ans o Q No : L log,n ( sin ) cos ( cos) I cos cos I cos sin I I cos sin I [ sin sin ] cos ( sin cos) C Hnc, sin(log ) { sin( log) cos( log) } C 8 Businss Mmics (Block )

83 Ans o Q No : L ( ) B A, A n B r consns. ( ) B A On compring cofficins,w g A A Also, B A B 7 B ( ) ( ) 7 ( ) ( ) 7 ( ) ( ) 7 ( ) sin. 7. ( ) C sin MODEL QUESTIONS A. Evlu.. 5. cos sin n. 5 Ingrion n Mos of Ingrion Uni 9 Businss Mmics (Block )

84 Uni Ingrion n Mos of Ingrion B. Ingr following cos. sin. ( ) sin.. cos 5 ( log ) 5. cos 6. sin cos n ( ) C. Evlu. n 7. 5 cos. sin sin. sin 0 5. log 6. log 7. cos cos 0.. ( ). sin. 5 8 D. Evlu cos ( )( ) ( ) ( )( ) 8.. ( )( ) ( )( ) *** ***** *** 0 Businss Mmics (Block )

85 UNIT : LINEAR PROGRAMMING PROBLEM (LPP) UNIT STRUCTURE. Lrning Objcivs. Inroucion. Mning. Coniions for Using LPP Tcniqu.5 Bsic Assumpions of LPP.6 Ars of pplicions of LPP.7 Limiions of LPP.8 Gnrl Linr Progrmming Problm.9 Formion of LPP of Two Vribl.0 Som Dfiniions. Grpicl Mo of Soluion of LPP. L Us Sum Up. Furr Rings. Answrs To Cck Your Progrss.5 Mol Qusions. LEARNING OBJECTIVES Afr going roug is uni, you will bl o- unrsn mning of linr progrmming problm (LPP) know vrious rms ssoci wi LPP know bou vrious fil of pplicion of LPP rw grp of linr inquliis lrn ow o fin fsibl rgion of LPP of wo vribl from grp obin opiml soluion of n LPP of wo vribl from grp.. INTRODUCTION T cnrl m of conomic ory n mngmn scinc is Businss Mmics (Block )

86 o opimis us of scrc rsourcs ir isposl, wic inclu mcin, mn-powr, mony, rw mrils, wrous spc c. Tr r svrl oricl ools o ccomplis is purpos in bo srm. Bu suc ools r no qu for ring compl conomic problm wi svrl lrnivs c wi is own rsricions n limiions. I is for ckling suc problms us of linr progrmming s bn foun o b mos usful.. MEANING T wor progrmming mns plnning n rfrs o procss of rmining priculr pln of cion from mongs svrl lrniv. T wor linr mns rlions involv mong wo or mor vribl in priculr problm r linr (i.. inics of ll vribls involv mus v uni powr only). Linr Progrmming is mmicl cniqu for rmining opiml llocion of rsourcs n obining priculr objciv (i..) cos minimizion or profi mzimizion) wn r r lrniv uss of rsourcs lik ln, lbour, cpil, mrils, mcins c. No : (i) T vribls involv in LPP r cll cision vribls. (ii) (iii) T linr funcions wic is o b opimiz is cll Objciv Funcion. T inquliis or quions involving cision vribls of n LPP wic scrib crin rsricions (or coniions) unr wic objciv funcion is o b opimiz r cll consrins. Signs,, r us in consrins.. CONDITIONS FOR USING LPP TECHNIQUE LPP cniqu my b us for opimizion problms subjc o fulfillmn of following coniions :. Tr mus b wll-fin objciv funcion rling o profi, cos or quniy prouc.. Tr mus b s of linr consrins rling o inmn of Businss Mmics (Block )

87 objciv.. All cision vribls mus ssum non-ngiv vlus.. Tr mus b n lrniv cours of cion ling o lrniv soluions for purpos of coosing bs on..5 BASIC ASSUMPTIONS OF LPP T following four ssumpions r m in LPP :. Proporionliy : I is ssum proporionliy iss in objciv funcion n in consrins.. Criniy : All co-fficins in objciv funcion n consrins r complly known wi criny n o no cng uring prio bing s.. Divisibiliy : Tis ssumpion ss cision vribls cn k ny non-ngiv vlus i.. frcionl vlus of cision vribls r prmi.. Aiiviy : W ssum iiviy of ll civiis wic mns ol civiis qul sum of ll civiis..6 AREAS OF APPLICATIONS OF LPP Hisoriclly, fil of linr progrmming ws vlop by Gorg B. Dnzig n is ssocis uring Worl Wr II n ws firs us by U.S. Air Forc s n i in cision mking. Toy i s bn ppli o wi vriy of problms. Som of s r : (i) Mnufcuring Problm : To fin numbr of ims of c yp soul b mnufcur so s o mimiz profi subjc o proucion rsricions impos by limiion on us of mcinry, lw mril n lbour. (ii) Trnsporion Problm : To fin ls cosly wy of rnsporion from wrouss o cusomrs. (iii) Invsmn Problm : To fin moun o b invs in vriy of srs n bnurs so s o mimiz rrn on invsmn. (iv) Avrising Mi Problm : To fin opimum llocion of Businss Mmics (Block )

88 vrismns in vrious mi subjc o ol vrising bug o mimiz ffciv numbr of cusomrs. (v) Di Problm : To fin minimum rquirmn of nurins subjc o vilbiliy of foos n ir prics. (vi) Proucion Problm : To ci proucion scul coul sisfy fuur mns (ssonl or orwis) n minimiz cos in fc of flucuing rs n sorg (invnory) cos. (vii) Job Assigning Problm : To ssign job o workrs for mzimum ffcivnss n opimum rsuls subjc o rsricions of wgs n or cos..7 LIMITATIONS OF LPP Inspi of ving wi pplicbiliy of LPP, i s crin limiions lso. Som of wic r s follows : (i) (ii) (iii) In rl lif siuion, mny objciv funcion n consrins cn no b prss linrly. In prcicl siuions, i my no b possibl o s ll cofficins in objciv funcion n consrins wi criniy. Linr progrmming will fil o giv soluion if mngmn v mulipl gols ins of on gol..8 GENERAL LINEAR PROGRAMMING PROBLEM T mmicl smn (mol) of gnrl form of LPP my b wrin s follows : Opimiz (Mimiz or Minimiz) Z C C C n n Subjc o n n ( ) b n n ( ) b } () m m mn n ( ) b m Businss Mmics (Block )

89 n,, n 0 () Wr (i),, n r vribls wos vlus r o b rmin r cll cision vribl. (ii) T linr funcion z wic is o b mzimiz or minimiz is cll objciv funcion. (iii) T inquliis () r cll consrins. (iv) T s of inquliis () r known s non-ngiv rsricions. (v) T consns ij (i,, m, j,, n) r cll cnologicl cofficins. (vi) T consns bi (i,,..... m) r cll vilbiliy prmrs. (vii) T prssion (,, ) mns only on of rlionsip woul ol for priculr consrin. No : Hr w will rsric our iscussion on LPP of wo vribls only..9 FORMATION OF A LPP OF TWO VARIABLE T following sps r o b follow in formulion of LPP involving wo vribls : Sp I : Inify wo cision vribls n no m by n y. W v o rmin vlu of n y. Sp II : Inify objciv funcion n prss i s linr funcion of cision vribls n y i.. s z c c y wr c n c r consns. W v o mimiz z s profi (or proucion) or o minimiz z s cos. Sp III : Inify ll consrins n prss m s linr inquliy/ quions in rms of n y by using givn coniions. Sp IV : Impos non-ngiviy rsricions on n y i.. k () s cision vribls cn no b ngiv. Empl : A compny mnufcurs wo yps of sowpic m of plywoo. SHow pic of yp A rquirs 5 minus c for cuing n 0 minus c for ssmbling. Sowpic of yp B rquirs 8 minus for cuing n 8 minus c for ssmbling. Tr r ours n 0 minus vilbl for cuing n ours vilbl for ssmbling. T Businss Mmics (Block ) 5

90 profi is Rs. 0 for c sowpic of yp A n Rs. for of yp B. Giv mmicl formulion of bov LPP in rms of mzimizing profi. Soluion : L Numbr of sowpic of yp A y numbr of sowpic of yp B T informion suppli in givn problm my b summris in bulr form s follows : Typ of Numbr of Mnufcuring Tim (In minu) Profi Sowpic Sowpic Cuing Assmbling pr uni 6 Businss Mmics (Block ) (Rs.) A B y 8 8 Tol ours 0 ours 0 vilbl minus00 minus im profi, minus From bov bl, w obsrv s our objciv is o mimiz T objciv funcion is Z 0 y. W obrv ol im (in minus) rquir in cuing mcin for numbrs of sowpic of yp A n y numbrs of sowpic of yp B is 5 8y. Tus limiion of ours 0 minus ( 00 minus) mos on cuing mcin is prss by consrin. 5 8y 00 Similrly for ssmbling consrin w g 0 8y 0 Agin, numbr of sowpic mnufcur cnno b ngiv 0, y 0 Tus mmicl formulion of givn LPP is s blow: Mzimiz Subjc o consrins 5 8y y 0, y 0. Z 0 y

91 Empl : A i is o conin l 00 unis of crboyrs, 500 unis of f n 00 unis of proin. Two foos r vilbl : F wic coss Rs. pr uni, F wic coss Rs. pr uni. A uni of foo F conins 0 unis of crboyr, 0 unis of f n 5 unis of proin. A uni of foo F conins 5 unis of crboyr, 0 unis of f n 0 unis of proin. Fin minimum cos for i consiss of miur of s wo foos n lso minimum nuriion rquirmn formul problm s LPP. Soluion : L Numbr of unis of foo F o b purcs y Numbr of unis of foo F o b purcs. T informion suppli in givn problm my b summris in bulr form s follows : Typ of Numbr of Nurins Cos foo unis of Crboyr F Proin pr uni foo (Rs.) F F y Minimum rquirmn Hr w obsru our objciv is o minimiz cos T objciv funcion is Z y. T ol moun of crboyrs from foos F n F is 0 5y n is is rquir o b ls minimum moun of crboyrs rquir, nmly 00 unis. Trfor, w mus v 0 5y 00 Similrly, for f consrin, w g 0 0y 500 For proin consrin, w g 5 0y 00 Agin, unis of foo mnufcur cn no b ngiv. 0, y 0 Ts mmicl formulion of givn LPP is s blow. Minimiz Z y Subjc o consrins Businss Mmics (Block ) 7

92 0 5y y y 00 y 0.0 SOME DEFINITIONS I is ppropri is sg o giv som finiions prining o soluion of LPP. Dfiniion : A s of vlus of cision vribls wic sisfy consrins of gnrl LPP is cll soluion o LPP. Dfiniion : Any soluion o gnrl LPP wic lso sisfis nonngiv rsricions of problm is cll fsibl soluion. T s of ll fsibl soluions consius w is cll fsibl rgion. Dfiniions : Any fsibl soluion wic opimizs objciv funcion of gnrl LPP is cll n opimum soluion.. GRAPHICAL METHOD OF SOLUTION OF LPP Now, w r going o scuss grpicl mo for solving LPP involv only wo vribls. Tis mo is bs on orm. cll rm poin orm, wic ss s follows : Erm Poin Torm : n opimum soluion o LPP, if i iss, occurs on of cornr (or rm) poins of r of fsibl rgion. Sps for Grpicl Mo of Soluion. Sp I : In is sp, w v o rw grp of c linr consrin (gnrlly prss s linr quliy). T grp of lin inquliy in wo vribls n y is s of ll poins (, y) for wic inquliy ols. In is sp w v o rmin r of fsibl rgion. Fsibl rgion is r wic conins s of ll poins simulnously sisfy ll consrins. (incluing non-ngiv consrins) No : T procur for grping linr inquliy is s follows. 8 Businss Mmics (Block )

93 Sp (i): Grp corrsponing linr quion, lin. Tis is on by fining ny wo poins on lin n rwing srig lin roug m. For convninc, w coos wo poins so c is on zis (i.. ir of wo coorins is zro) Sp (ii): Coos poin P no on lin. Normlly, is poin is kn s origin s long s i os no li on lin. Ts P o s wr P sisfis inquliy. Sp (iii): I coorin of cosn poin P sisfy inquliy, n ll poins on sm si of lin s poin P sisfy inquliy. I coorin of poin P o no sisfy inquliy, n ll poins on opposi si of lin from P sisfy inquliy. Sp II: No coorin of c cornr poin of fsibl rgion n subsiu coorins of cornr poins ino objciv funcion. Sp III: T opimum soluion occurs in mzimizion cs cornr poin yiling lrgs vlu of objciv funcion n in minimizion cs cornr poin yiling smlls vlu of objciv funcion. No : T mo of fining fsibl rgion is illusr by n mpl givn blow : Grp sysm y 8 () y () 0, y 0 Firs l us rw grp of corrsponing quions. y 8 () y () For () : Wn 0, y 6 Wn y 0, 9 Grp of () is lin PQ obin by joining (0, 6) n (9, 0). To s wic si of lin sisfis inquliy, cooins of origin r subsii ino inquliy. Businss Mmics (Block ) 9

94 (0) (0) 0 8. Wic is ru. Trfor ll poins on sm si of lin s origin sisfy inquliy. T grp of inquliy is s rgion sown by Similrly, grp of inquliy y is s rgion sown by 0 Businss Mmics (Block )

95 T inquliis 0 n y 0 r sisfi by fc w confin grp o firs qurn only. Hnc fsibl rgion of bov sysm will b OABCO sown by Empl : Mimiz Z y Subjc o consrins y 50 y n y 0 Soluion : Firs, w fin fsibl rgion wic consiss of s of ll poins wos coorins simulnously sisfy ll consrins incluing nonngiv rsricions. Applying cniqus illusr bov, fsibl rgion for sysm of inquliis is OABCO s sown in igrm blow Businss Mmics (Block )

96 T cornr poins of fsibl rgion r 0(0, 0), A(00, 0), B(50, 00) n C(0, 50). No coorins of poin B v bn obin by solving y 50 n y 600 simulnously for n y. Now vlus of objciv funcion s cornr poins r summriz blow Cornr Coorins Vlu of objciv funcion poins z y O (0, 0) Z A (00, 0) Z B (50, 00) Z C (0, 50) Z Hnc mimum vlu of z is 800 n i is in vrs C(0, 50) i.. Mimum vlu of objciv funcion is 800 wn 0 n y 50 Empl : Minimiz z y Subjc o 6 6y 08 y 6 0 0y 00, y 0 Businss Mmics (Block )

97 Soluion : Firs, w fin fsibl rgion wic consiss of s of ll poins wos coorins simulnously sisfy ll consrins incluing non-ngiv rsricions. T fsibl rgion for sysm of inquliis is YDCBAX s sown in igrm blow. T cornr poins of fsibl rgion r D(0, 8), C(, 6), B(, ) n A(, 0). No coorin of C is obin by solving 6 6y 08 n 0 0y 00 n of B by solving 0 0y 00 n y 6 simulnously for n y. Now, vlus of objciv funcion s cornr poins r summriz blow. Businss Mmics (Block )

98 Cornr Coorins Vlu of objciv funcion poins z y D (0, 8) Z C (, 6) Z 6 B (, ) Z A (, 0) Z 0 So, minimum vlu of Z is n i is in vrs B(v, ) i.. minimum vlu of Z is wn n y. Empl 5 : Mimiz Z 0 5 Subjc o , 0. Subjc : Firs, w fin fsibl rgion wic consiss of s of ll poins wos coorins simulnously sisfy ll cosrins incluing non-ngiv rsricions. T fsibl rgion for sysm of inquliis is OABCDO s sown in igrm blow. T cornr poins of fsibl rgion r A(, 0), B(8, 0), C(6, ) n D(0, 5). No coorins of B is obin by solving Businss Mmics (Block )

99 6 n 56 n of C is obin by solving 56 n 5 simulnously for n. Now vlus of objciv funcion s cornr poins r sumriz blow. Poin Coorins Vlu of objciv funcion z 0 5 A (, 0) Z B (8, 0) Z C (6, ) Z D (0, 5) Z So, mimum vlu of z is 0 n i is in vr B(8, 0) i.. mimum vlus of z is 0 wn 8 n 0. CHECK YOUR PROGRESS Q : W o you mn by linr progrmming problm? Q : Dfin fsibl soluion, opimum soluion n fsibl rgion. Q : Sy wr following smns r ru (T) or fsl (F) (i) In LPP, ll prmrs r ssum o b consn. (ii) S vribls in soluion of LPP r ir posiiv or ngiv. (iii) Proucion plnning is on of pplicion rs of LPP. (iv) Linr progrmming is licniqu for fining bs uss of n orgnizion s mnpowr, mony n mcinry. Q : Fill in blnks. (i) T vribls involv in LPP r cll... vribl. (ii) In Linr Progrmming, linr funcion o b opimiz is cll... funcion. (iii) In Linr Progrmming, ll rlionsip mong cision vribls mus b... (iv) Mos of consrins in n LPP r prss s... Businss Mmics (Block ) 5

100 (v)... of cision vribls is on of ssumpions of LPP. (vi) Linr Progrmming is us o lloc o civiis so s o opimiz vlu of objciv funcion.. LET US SUM UP In is uni, w v lrn T mning of LPP. Formulion of LPP. Vrious rms ssoci wi LPP. Abou bsic ssumpions, limiions n impornc of LPP. Grpicl soluion of LPP involving wo vribls.. FURTHER READINGS ) Tukrl, Dr. J. K. Mmics for Businss Suis, Myoor Pprbcks. ) Bowl M. K. Funmnls of Businss Mmics, Asin Books Priv Limi. ) Gos, R. K. n S, S. Businss Mmics n Sisics, Nw Cnrl Books Agncy (P) L. ) Srm, J. K. Qunivs Mos, Tory n Applicion, Mcmillon Publisrs Ini L. 6 Businss Mmics (Block )

101 . ANSWERS TO CHECK YOUR PROGRESS Ans o Q No : (i) T (ii) F (iii) T (iv) T. Ans o Q No : (i) cision (ii) objciv (iii) linr (iv) inquliy (v) criniy (vi) scrc rsourc..5 MODEL QUESTIONS Q : W o you unrsn by Linr Progrmming? W r is mjor ssumpions? Q : W r rquirmns of n LPP? Q : Wri no on limiions of linr progrmming? Q : Discuss scop of linr progrmming in solving Businss Problm. Q 5: Coos corrc lrnivs () A consrin in n LP mol rsrics. (i) vlu of objciv funcion. (ii) vlu of cision vribls. (iii) us of vilbl rsourcs. (iv) ll of bov. (b) T isingusing fur of LPP is (i) rlionsip mong ll vribls is linr. (ii) vlu of cision vribls is non-ngiv. (iii) i s singl objciv funcion n consrins. (iv) ll of bov. (c) Wic of following is n ssumpion of LPP. (i) ivisibiliy (ii) criniy (iii) iiviy (iv) ll bov. Businss Mmics (Block ) 7

Relation between Fourier Series and Transform

Relation between Fourier Series and Transform EE 37-3 8 Ch. II: Inro. o Sinls Lcur 5 Dr. Wih Abu-Al-Su Rlion bwn ourir Sris n Trnsform Th ourir Trnsform T is riv from h finiion of h ourir Sris S. Consir, for xmpl, h prioic complx sinl To wih prio

More information

Single Correct Type. cos z + k, then the value of k equals. dx = 2 dz. (a) 1 (b) 0 (c)1 (d) 2 (code-v2t3paq10) l (c) ( l ) x.

Single Correct Type. cos z + k, then the value of k equals. dx = 2 dz. (a) 1 (b) 0 (c)1 (d) 2 (code-v2t3paq10) l (c) ( l ) x. IIT JEE/AIEEE MATHS y SUHAAG SIR Bhopl, Ph. (755)3 www.kolsss.om Qusion. & Soluion. In. Cl. Pg: of 6 TOPIC = INTEGRAL CALCULUS Singl Corr Typ 3 3 3 Qu.. L f () = sin + sin + + sin + hn h primiiv of f()

More information

Lecture 21 : Graphene Bandstructure

Lecture 21 : Graphene Bandstructure Fundmnls of Nnolcronics Prof. Suprio D C 45 Purdu Univrsi Lcur : Grpn Bndsrucur Rf. Cpr 6. Nwor for Compuionl Nnocnolog Rviw of Rciprocl Lic :5 In ls clss w lrnd ow o consruc rciprocl lic. For D w v: Rl-Spc:

More information

A Production Inventory Model for Different Classes of Demands with Constant Production Rate Considering the Product s Shelf-Life Finite

A Production Inventory Model for Different Classes of Demands with Constant Production Rate Considering the Product s Shelf-Life Finite nrnionl Confrnc on Mchnicl nusril n Mrils Enginring 5 CMME5 - Dcmbr 5 RUE Rjshhi Bnglsh. Ppr D: E-6 A Proucion nvnory Mol for Diffrn Clsss of Dmns wih Consn Proucion R Consiring h Prouc s Shlf-Lif Fini

More information

Fourier Series and Parseval s Relation Çağatay Candan Dec. 22, 2013

Fourier Series and Parseval s Relation Çağatay Candan Dec. 22, 2013 Fourir Sris nd Prsvl s Rlion Çğy Cndn Dc., 3 W sudy h m problm EE 3 M, Fll3- in som dil o illusr som conncions bwn Fourir sris, Prsvl s rlion nd RMS vlus. Q. ps h signl sin is h inpu o hlf-wv rcifir circui

More information

Revisiting what you have learned in Advanced Mathematical Analysis

Revisiting what you have learned in Advanced Mathematical Analysis Fourir sris Rvisiing wh you hv lrnd in Advncd Mhmicl Anlysis L f x b priodic funcion of priod nd is ingrbl ovr priod. f x cn b rprsnd by rigonomric sris, f x n cos nx bn sin nx n cos x b sin x cosx b whr

More information

Systems of First Order Linear Differential Equations

Systems of First Order Linear Differential Equations Sysms of Firs Ordr Linr Diffrnil Equions W will now urn our nion o solving sysms of simulnous homognous firs ordr linr diffrnil quions Th soluions of such sysms rquir much linr lgbr (Mh Bu sinc i is no

More information

Systems of First Order Linear Differential Equations

Systems of First Order Linear Differential Equations Sysms of Firs Ordr Linr Diffrnil Equions W will now urn our nion o solving sysms of simulnous homognous firs ordr linr diffrnil quions Th soluions of such sysms rquir much linr lgbr (Mh Bu sinc i is no

More information

Section 2: The Z-Transform

Section 2: The Z-Transform Scion : h -rnsform Digil Conrol Scion : h -rnsform In linr discr-im conrol sysm linr diffrnc quion chrcriss h dynmics of h sysm. In ordr o drmin h sysm s rspons o givn inpu, such diffrnc quion mus b solvd.

More information

3.4 Repeated Roots; Reduction of Order

3.4 Repeated Roots; Reduction of Order 3.4 Rpd Roos; Rducion of Ordr Rcll our nd ordr linr homognous ODE b c 0 whr, b nd c r consns. Assuming n xponnil soluion lds o chrcrisic quion: r r br c 0 Qudric formul or fcoring ilds wo soluions, r &

More information

Laplace Transform. National Chiao Tung University Chun-Jen Tsai 10/19/2011

Laplace Transform. National Chiao Tung University Chun-Jen Tsai 10/19/2011 plc Trnorm Nionl Chio Tung Univriy Chun-Jn Ti /9/ Trnorm o Funcion Som opror rnorm uncion ino nohr uncion: d Dirniion: x x, or Dx x dx x Indini Ingrion: x dx c Dini Ingrion: x dx 9 A uncion my hv nicr

More information

Section 3: Antiderivatives of Formulas

Section 3: Antiderivatives of Formulas Chptr Th Intgrl Appli Clculus 96 Sction : Antirivtivs of Formuls Now w cn put th is of rs n ntirivtivs togthr to gt wy of vluting finit intgrls tht is ct n oftn sy. To vlut finit intgrl f(t) t, w cn fin

More information

Name:... Batch:... TOPIC: II (C) 1 sec 3 2x - 3 sec 2x. 6 é ë. logtan x (A) log (tan x) (B) cot (log x) (C) log log (tan x) (D) tan (log x) cos x (C)

Name:... Batch:... TOPIC: II (C) 1 sec 3 2x - 3 sec 2x. 6 é ë. logtan x (A) log (tan x) (B) cot (log x) (C) log log (tan x) (D) tan (log x) cos x (C) Nm:... Bch:... TOPIC: II. ( + ) d cos ( ) co( ) n( ) ( ) n (D) non of hs. n sc d sc + sc é ësc sc ù û sc sc é ë ù û (D) non of hs. sc cosc d logn log (n ) co (log ) log log (n ) (D) n (log ). cos log(

More information

Fourier. Continuous time. Review. with period T, x t. Inverse Fourier F Transform. x t. Transform. j t

Fourier. Continuous time. Review. with period T, x t. Inverse Fourier F Transform. x t. Transform. j t Coninuous im ourir rnsform Rviw. or coninuous-im priodic signl x h ourir sris rprsnion is x x j, j 2 d wih priod, ourir rnsform Wh bou priodic signls? W willl considr n priodic signl s priodic signl wih

More information

Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall. Chapr Rviw 0 6. ( a a ln a. This will qual a if an onl if ln a, or a. + k an (ln + c. Thrfor, a an valu of, whr h wo curvs inrsc, h wo angn lins will b prpnicular. 6. (a Sinc h lin passs hrough h origin

More information

Inverse Fourier Transform. Properties of Continuous time Fourier Transform. Review. Linearity. Reading Assignment Oppenheim Sec pp.289.

Inverse Fourier Transform. Properties of Continuous time Fourier Transform. Review. Linearity. Reading Assignment Oppenheim Sec pp.289. Convrgnc of ourir Trnsform Rding Assignmn Oppnhim Sc 42 pp289 Propris of Coninuous im ourir Trnsform Rviw Rviw or coninuous-im priodic signl x, j x j d Invrs ourir Trnsform 2 j j x d ourir Trnsform Linriy

More information

e t dt e t dt = lim e t dt T (1 e T ) = 1

e t dt e t dt = lim e t dt T (1 e T ) = 1 Improper Inegrls There re wo ypes of improper inegrls - hose wih infinie limis of inegrion, nd hose wih inegrnds h pproch some poin wihin he limis of inegrion. Firs we will consider inegrls wih infinie

More information

A DEMAND INDEPENDENT INVENTORY MODEL

A DEMAND INDEPENDENT INVENTORY MODEL Yugolv Journl of Oprion rc 23 23, Numbr, 29-35 DO: 2298/YJO2272L A DEMAND NDEPENDEN NVENOY MODEL Jnnifr LN Dprmn of rnporion Logiic & Mrking Mngmn, oko Univri, iwn, O jnnifr592@oocomw Hnr HAO, Pron JULAN

More information

FL/VAL ~RA1::1. Professor INTERVI of. Professor It Fr recru. sor Social,, first of all, was. Sys SDC? Yes, as a. was a. assumee.

FL/VAL ~RA1::1. Professor INTERVI of. Professor It Fr recru. sor Social,, first of all, was. Sys SDC? Yes, as a. was a. assumee. B Pror NTERV FL/VAL ~RA1::1 1 21,, 1989 i n or Socil,, fir ll, Pror Fr rcru Sy Ar you lir SDC? Y, om um SM: corr n 'd m vry ummr yr. Now, y n y, f pr my ry for ummr my 1 yr Un So vr ummr cour d rr o l

More information

Geology 607: Advanced Physical Hydrology

Geology 607: Advanced Physical Hydrology Gology 67: Avnc Physicl Hyrology Lcur Nos for Fll 7 Insrucor: Mski Hyshi offic: ES 78, phon: 43--794, -mil: hyshi@uclgry.c xooks: Jury, W.A. n Horon, R., 4. Soil physics, 6 h iion. John Wily & Sons. Brusr,

More information

Math 266, Practice Midterm Exam 2

Math 266, Practice Midterm Exam 2 Mh 66, Prcic Midrm Exm Nm: Ground Rul. Clculor i NOT llowd.. Show your work for vry problm unl ohrwi d (pril crdi r vilbl). 3. You my u on 4-by-6 indx crd, boh id. 4. Th bl of Lplc rnform i vilbl h l pg.

More information

Derivation of the differential equation of motion

Derivation of the differential equation of motion Divion of h iffnil quion of oion Fis h noions fin h will us fo h ivion of h iffnil quion of oion. Rollo is hough o -insionl isk. xnl ius of h ll isnc cn of ll (O) - IDU s cn of gviy (M) θ ngl of inclinion

More information

Chapter 4 Circular and Curvilinear Motions

Chapter 4 Circular and Curvilinear Motions Chp 4 Cicul n Cuilin Moions H w consi picls moing no long sigh lin h cuilin moion. W fis su h cicul moion, spcil cs of cuilin moion. Anoh mpl w h l sui li is h pojcil..1 Cicul Moion Unifom Cicul Moion

More information

Instructors Solution for Assignment 3 Chapter 3: Time Domain Analysis of LTIC Systems

Instructors Solution for Assignment 3 Chapter 3: Time Domain Analysis of LTIC Systems Inrucor Soluion for Aignmn Chapr : Tim Domain Anali of LTIC Sm Problm i a 8 x x wih x u,, an Zro-inpu rpon of h m: Th characriic quaion of h LTIC m i i 8, which ha roo a ± j Th zro-inpu rpon i givn b zi

More information

TOPIC 5: INTEGRATION

TOPIC 5: INTEGRATION TOPIC 5: INTEGRATION. Th indfinit intgrl In mny rspcts, th oprtion of intgrtion tht w r studying hr is th invrs oprtion of drivtion. Dfinition.. Th function F is n ntidrivtiv (or primitiv) of th function

More information

16.512, Rocket Propulsion Prof. Manuel Martinez-Sanchez Lecture 3: Ideal Nozzle Fluid Mechanics

16.512, Rocket Propulsion Prof. Manuel Martinez-Sanchez Lecture 3: Ideal Nozzle Fluid Mechanics 6.5, Rok ropulsion rof. nul rinz-snhz Lur 3: Idl Nozzl luid hnis Idl Nozzl low wih No Sprion (-D) - Qusi -D (slndr) pproximion - Idl gs ssumd ( ) mu + Opimum xpnsion: - or lss, >, ould driv mor forwrd

More information

INTEGRALS. Exercise 1. Let f : [a, b] R be bounded, and let P and Q be partitions of [a, b]. Prove that if P Q then U(P ) U(Q) and L(P ) L(Q).

INTEGRALS. Exercise 1. Let f : [a, b] R be bounded, and let P and Q be partitions of [a, b]. Prove that if P Q then U(P ) U(Q) and L(P ) L(Q). INTEGRALS JOHN QUIGG Eercise. Le f : [, b] R be bounded, nd le P nd Q be priions of [, b]. Prove h if P Q hen U(P ) U(Q) nd L(P ) L(Q). Soluion: Le P = {,..., n }. Since Q is obined from P by dding finiely

More information

Functions and Graphs 1. (a) (b) (c) (f) (e) (d) 2. (a) (b) (c) (d)

Functions and Graphs 1. (a) (b) (c) (f) (e) (d) 2. (a) (b) (c) (d) Functions nd Grps. () () (c) - - - O - - - O - - - O - - - - (d) () (f) - - O - 7 6 - - O - -7-6 - - - - - O. () () (c) (d) - - - O - O - O - - O - -. () G() f() + f( ), G(-) f( ) + f(), G() G( ) nd G()

More information

Bicomplex Version of Laplace Transform

Bicomplex Version of Laplace Transform Annd Kumr l. / Inrnionl Journl of Enginring nd Tchnology Vol.,, 5- Bicomplx Vrsion of Lplc Trnsform * Mr. Annd Kumr, Mr. Prvindr Kumr *Dprmn of Applid Scinc, Roork Enginring Mngmn Tchnology Insiu, Shmli

More information

CS 541 Algorithms and Programs. Exam 2 Solutions. Jonathan Turner 11/8/01

CS 541 Algorithms and Programs. Exam 2 Solutions. Jonathan Turner 11/8/01 CS 1 Algorim nd Progrm Exm Soluion Jonn Turnr 11/8/01 B n nd oni, u ompl. 1. (10 poin). Conidr vrion of or p prolm wi mulipliiv o. In i form of prolm, lng of p i produ of dg lng, rr n um. Explin ow or

More information

T h e C S E T I P r o j e c t

T h e C S E T I P r o j e c t T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T

More information

INTEGRALS. Chapter 7. d dx. 7.1 Overview Let d dx F (x) = f (x). Then, we write f ( x)

INTEGRALS. Chapter 7. d dx. 7.1 Overview Let d dx F (x) = f (x). Then, we write f ( x) Chptr 7 INTEGRALS 7. Ovrviw 7.. Lt d d F () f (). Thn, w writ f ( ) d F () + C. Ths intgrls r clld indfinit intgrls or gnrl intgrls, C is clld constnt of intgrtion. All ths intgrls diffr y constnt. 7..

More information

The Laplace Transform

The Laplace Transform Th Lplc Trnform Dfiniion nd propri of Lplc Trnform, picwi coninuou funcion, h Lplc Trnform mhod of olving iniil vlu problm Th mhod of Lplc rnform i ym h rli on lgbr rhr hn clculu-bd mhod o olv linr diffrnil

More information

CONTINUITY AND DIFFERENTIABILITY

CONTINUITY AND DIFFERENTIABILITY MCD CONTINUITY AND DIFFERENTIABILITY NCERT Solvd mpls upto th sction 5 (Introduction) nd 5 (Continuity) : Empl : Chck th continuity of th function f givn by f() = + t = Empl : Emin whthr th function f

More information

1 Finite Automata and Regular Expressions

1 Finite Automata and Regular Expressions 1 Fini Auom nd Rgulr Exprion Moivion: Givn prn (rgulr xprion) for ring rching, w migh wn o convr i ino drminiic fini uomon or nondrminiic fini uomon o mk ring rching mor fficin; drminiic uomon only h o

More information

Jonathan Turner Exam 2-10/28/03

Jonathan Turner Exam 2-10/28/03 CS Algorihm n Progrm Prolm Exm Soluion S Soluion Jonhn Turnr Exm //. ( poin) In h Fioni hp ruur, u wn vrx u n i prn v u ing u v i v h lry lo hil in i l m hil o om ohr vrx. Suppo w hng hi, o h ing u i prorm

More information

ME 522 PRINCIPLES OF ROBOTICS. FIRST MIDTERM EXAMINATION April 19, M. Kemal Özgören

ME 522 PRINCIPLES OF ROBOTICS. FIRST MIDTERM EXAMINATION April 19, M. Kemal Özgören ME 522 PINCIPLES OF OBOTICS FIST MIDTEM EXAMINATION April 9, 202 Nm Lst Nm M. Kml Özgörn 2 4 60 40 40 0 80 250 USEFUL FOMULAS cos( ) cos cos sin sin sin( ) sin cos cos sin sin y/ r, cos x/ r, r 0 tn 2(

More information

UNIT #5 EXPONENTIAL AND LOGARITHMIC FUNCTIONS

UNIT #5 EXPONENTIAL AND LOGARITHMIC FUNCTIONS Answr Ky Nam: Da: UNIT # EXPONENTIAL AND LOGARITHMIC FUNCTIONS Par I Qusions. Th prssion is quivaln o () () 6 6 6. Th ponnial funcion y 6 could rwrin as y () y y 6 () y y (). Th prssion a is quivaln o

More information

Q.28 Q.29 Q.30. Q.31 Evaluate: ( log x ) Q.32 Evaluate: ( ) Q.33. Q.34 Evaluate: Q.35 Q.36 Q.37 Q.38 Q.39 Q.40 Q.41 Q.42. Q.43 Evaluate : ( x 2) Q.

Q.28 Q.29 Q.30. Q.31 Evaluate: ( log x ) Q.32 Evaluate: ( ) Q.33. Q.34 Evaluate: Q.35 Q.36 Q.37 Q.38 Q.39 Q.40 Q.41 Q.42. Q.43 Evaluate : ( x 2) Q. LASS XII Q Evlut : Q sc Evlut c Q Evlut: ( ) Q Evlut: Q5 α Evlut: α Q Evlut: Q7 Evlut: { t (t sc )} / Q8 Evlut : ( )( ) Q9 Evlut: Q0 Evlut: Q Evlut : ( ) ( ) Q Evlut : / ( ) Q Evlut: / ( ) Q Evlut : )

More information

Engine Thrust. From momentum conservation

Engine Thrust. From momentum conservation Airbrhing Propulsion -1 Airbrhing School o Arospc Enginring Propulsion Ovrviw w will b xmining numbr o irbrhing propulsion sysms rmjs, urbojs, urbons, urboprops Prormnc prmrs o compr hm, usul o din som

More information

EXERCISE - 01 CHECK YOUR GRASP

EXERCISE - 01 CHECK YOUR GRASP DIFFERENTIAL EQUATION EXERCISE - CHECK YOUR GRASP 7. m hn D() m m, D () m m. hn givn D () m m D D D + m m m m m m + m m m m + ( m ) (m ) (m ) (m + ) m,, Hnc numbr of valus of mn will b. n ( ) + c sinc

More information

Chapter 2 The Derivative Business Calculus 99

Chapter 2 The Derivative Business Calculus 99 Chapr Th Drivaiv Businss Calculus 99 Scion 5: Drivaivs of Formulas In his scion, w ll g h rivaiv ruls ha will l us fin formulas for rivaivs whn our funcion coms o us as a formula. This is a vry algbraic

More information

EXERCISE - 01 CHECK YOUR GRASP

EXERCISE - 01 CHECK YOUR GRASP DEFNTE NTEGRATON EXERCSE - CHECK YOUR GRASP. ( ) d [ ] d [ ] d d ƒ( ) ƒ '( ) [ ] [ ] 8 5. ( cos )( c)d 8 ( cos )( c)d + 8 ( cos )( c) d 8 ( cos )( c) d sic + cos 8 is lwys posiiv f() d ( > ) ms f() is

More information

Mathematics 805 Final Examination Answers

Mathematics 805 Final Examination Answers . 5 poins Se he Weiersrss M-es. Mhemics 85 Finl Eminion Answers Answer: Suppose h A R, nd f n : A R. Suppose furher h f n M n for ll A, nd h Mn converges. Then f n converges uniformly on A.. 5 poins Se

More information

SOLVED EXAMPLES. be the foci of an ellipse with eccentricity e. For any point P on the ellipse, prove that. tan

SOLVED EXAMPLES. be the foci of an ellipse with eccentricity e. For any point P on the ellipse, prove that. tan LOCUS 58 SOLVED EXAMPLES Empl Lt F n F th foci of n llips with ccntricit. For n point P on th llips, prov tht tn PF F tn PF F Assum th llips to, n lt P th point (, sin ). P(, sin ) F F F = (-, 0) F = (,

More information

SE1CY15 Differentiation and Integration Part B

SE1CY15 Differentiation and Integration Part B SECY5 Diffrniion nd Ingrion Pr B Diffrniion nd Ingrion 6 Prof Richrd Michll Tody w will sr o look mor ypicl signls including ponnils, logrihms nd hyprbolics Som of his cn b found in h rcommndd books Crof

More information

(A) 1 (B) 1 + (sin 1) (C) 1 (sin 1) (D) (sin 1) 1 (C) and g be the inverse of f. Then the value of g'(0) is. (C) a. dx (a > 0) is

(A) 1 (B) 1 + (sin 1) (C) 1 (sin 1) (D) (sin 1) 1 (C) and g be the inverse of f. Then the value of g'(0) is. (C) a. dx (a > 0) is [STRAIGHT OBJECTIVE TYPE] l Q. Th vlu of h dfii igrl, cos d is + (si ) (si ) (si ) Q. Th vlu of h dfii igrl si d whr [, ] cos cos Q. Vlu of h dfii igrl ( si Q. L f () = d ( ) cos 7 ( ) )d d g b h ivrs

More information

REAL ANALYSIS I HOMEWORK 3. Chapter 1

REAL ANALYSIS I HOMEWORK 3. Chapter 1 REAL ANALYSIS I HOMEWORK 3 CİHAN BAHRAN The quesions re from Sein nd Shkrchi s e. Chper 1 18. Prove he following sserion: Every mesurble funcion is he limi.e. of sequence of coninuous funcions. We firs

More information

RUTH. land_of_israel: the *country *which God gave to his people in the *Old_Testament. [*map # 2]

RUTH. land_of_israel: the *country *which God gave to his people in the *Old_Testament. [*map # 2] RUTH 1 Elimlk g ln M 1-2 I in im n ln Irl i n *king. Tr r lr rul ln. Ty r ug. Tr n r l in Ju u r g min. Elimlk mn y in n Blm in Ju. H i nm Nmi. S n Elimlk 2 *n. Tir nm r Mln n Kilin. Ty r ll rm Er mily.

More information

K x,y f x dx is called the integral transform of f(x). The function

K x,y f x dx is called the integral transform of f(x). The function APACE TRANSFORMS Ingrl rnform i priculr kind of mhmicl opror which ri in h nlyi of om boundry vlu nd iniil vlu problm of clicl Phyic. A funcion g dfind by b rlion of h form gy) = K x,y f x dx i clld h

More information

ENGR 1990 Engineering Mathematics The Integral of a Function as a Function

ENGR 1990 Engineering Mathematics The Integral of a Function as a Function ENGR 1990 Engineering Mhemics The Inegrl of Funcion s Funcion Previously, we lerned how o esime he inegrl of funcion f( ) over some inervl y dding he res of finie se of rpezoids h represen he re under

More information

The Procedure Abstraction Part II: Symbol Tables and Activation Records

The Procedure Abstraction Part II: Symbol Tables and Activation Records Th Produr Absrion Pr II: Symbol Tbls nd Aivion Rords Th Produr s Nm Sp Why inrodu lxil soping? Provids ompil-im mhnism for binding vribls Ls h progrmmr inrodu lol nms How n h ompilr kp rk of ll hos nms?

More information

P a g e 5 1 of R e p o r t P B 4 / 0 9

P a g e 5 1 of R e p o r t P B 4 / 0 9 P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e

More information

Digital Signal Processing. Digital Signal Processing READING ASSIGNMENTS. License Info for SPFirst Slides. Fourier Transform LECTURE OBJECTIVES

Digital Signal Processing. Digital Signal Processing READING ASSIGNMENTS. License Info for SPFirst Slides. Fourier Transform LECTURE OBJECTIVES Digil Signl Procssing Digil Signl Procssing Prof. Nizmin AYDIN nydin@yildiz.du.r hp:www.yildiz.du.r~nydin Lcur Fourir rnsform Propris Licns Info for SPFirs Slids READING ASSIGNMENS his work rlsd undr Criv

More information

Erlkönig. t t.! t t. t t t tj "tt. tj t tj ttt!t t. e t Jt e t t t e t Jt

Erlkönig. t t.! t t. t t t tj tt. tj t tj ttt!t t. e t Jt e t t t e t Jt Gsng Po 1 Agio " " lkö (Compl by Rhol Bckr, s Moifi by Mrk S. Zimmr)!! J "! J # " c c " Luwig vn Bhovn WoO 131 (177) I Wr Who!! " J J! 5 ri ris hro' h spä h, I urch J J Nch rk un W Es n wil A J J is f

More information

4.8 Improper Integrals

4.8 Improper Integrals 4.8 Improper Inegrls Well you ve mde i hrough ll he inegrion echniques. Congrs! Unforunely for us, we sill need o cover one more inegrl. They re clled Improper Inegrls. A his poin, we ve only del wih inegrls

More information

Improved Computation of Electric Field in. Rectangular Waveguide. Based Microwave Components Using. Modal Expansion

Improved Computation of Electric Field in. Rectangular Waveguide. Based Microwave Components Using. Modal Expansion Journl of Innoviv Tchnolog n Eucion, Vol. 3, 6, no., 3 - HIKARI L, www.-hikri.co hp://.oi.org/.988/ji.6.59 Iprov Copuion of Elcric Fil in Rcngulr Wvgui Bs icrowv Coponns Ug ol Epnsion Rj Ro Dprn of lcronics

More information

MSLC Math 151 WI09 Exam 2 Review Solutions

MSLC Math 151 WI09 Exam 2 Review Solutions Eam Rviw Solutions. Comput th following rivativs using th iffrntiation ruls: a.) cot cot cot csc cot cos 5 cos 5 cos 5 cos 5 sin 5 5 b.) c.) sin( ) sin( ) y sin( ) ln( y) ln( ) ln( y) sin( ) ln( ) y y

More information

Lecture 1: Numerical Integration The Trapezoidal and Simpson s Rule

Lecture 1: Numerical Integration The Trapezoidal and Simpson s Rule Lcur : Numrical ngraion Th Trapzoidal and Simpson s Rul A problm Th probabiliy of a normally disribud (man µ and sandard dviaion σ ) vn occurring bwn h valus a and b is B A P( a x b) d () π whr a µ b -

More information

A modified hyperbolic secant distribution

A modified hyperbolic secant distribution Songklnkrin J Sci Tchnol 39 (1 11-18 Jn - Fb 2017 hp://wwwsjspsuch Originl Aricl A modifid hyprbolic scn disribuion Pnu Thongchn nd Wini Bodhisuwn * Dprmn of Sisics Fculy of Scinc Kssr Univrsiy Chuchk

More information

a b c cat CAT A B C Aa Bb Cc cat cat Lesson 1 (Part 1) Verbal lesson: Capital Letters Make The Same Sound Lesson 1 (Part 1) continued...

a b c cat CAT A B C Aa Bb Cc cat cat Lesson 1 (Part 1) Verbal lesson: Capital Letters Make The Same Sound Lesson 1 (Part 1) continued... Progrssiv Printing T.M. CPITLS g 4½+ Th sy, fun (n FR!) wy to tch cpitl lttrs. ook : C o - For Kinrgrtn or First Gr (not for pr-school). - Tchs tht cpitl lttrs mk th sm souns s th littl lttrs. - Tchs th

More information

( ) ( ) ( ) ( ) ( ) ( y )

( ) ( ) ( ) ( ) ( ) ( y ) 8. Lengh of Plne Curve The mos fmous heorem in ll of mhemics is he Pyhgoren Theorem. I s formulion s he disnce formul is used o find he lenghs of line segmens in he coordine plne. In his secion you ll

More information

Wave Phenomena Physics 15c

Wave Phenomena Physics 15c Wv hnon hyscs 5c cur 4 Coupl Oscllors! H& con 4. Wh W D s T " u forc oscllon " olv h quon of oon wh frcon n foun h sy-s soluon " Oscllon bcos lr nr h rsonnc frquncy " hs chns fro 0 π/ π s h frquncy ncrss

More information

2 T. or T. DSP First, 2/e. This Lecture: Lecture 7C Fourier Series Examples: Appendix C, Section C-2 Various Fourier Series

2 T. or T. DSP First, 2/e. This Lecture: Lecture 7C Fourier Series Examples: Appendix C, Section C-2 Various Fourier Series DSP Firs, Lcur 7C Fourir Sris Empls: Common Priodic Signls READIG ASSIGMES his Lcur: Appndi C, Scion C- Vrious Fourir Sris Puls Wvs ringulr Wv Rcifid Sinusoids lso in Ch. 3, Sc. 3-5 Aug 6 3-6, JH McCllln

More information

Week 06 Discussion Suppose a discrete random variable X has the following probability distribution: f ( 0 ) = 8

Week 06 Discussion Suppose a discrete random variable X has the following probability distribution: f ( 0 ) = 8 STAT W 6 Discussion Fll 7..-.- If h momn-gnring funcion of X is M X ( ), Find h mn, vrinc, nd pmf of X.. Suppos discr rndom vribl X hs h following probbiliy disribuion: f ( ) 8 7, f ( ),,, 6, 8,. ( possibl

More information

PHA First Exam Fall On my honor, I have neither given nor received unauthorized aid in doing this assignment.

PHA First Exam Fall On my honor, I have neither given nor received unauthorized aid in doing this assignment. PHA 527 Firs Exm Fll 20 On my honor, I hv nihr givn nor rcivd unuhorizd id in doing his ssignmn. Nm Qusion S/Poins I. 30 ps II. III. IV 20 ps 5 ps 5 ps V. 25 ps VI. VII. VIII. IX. 0 ps 0 ps 0 ps 35 ps

More information

dy 1. If fx ( ) is continuous at x = 3, then 13. If y x ) for x 0, then f (g(x)) = g (f (x)) when x = a. ½ b. ½ c. 1 b. 4x a. 3 b. 3 c.

dy 1. If fx ( ) is continuous at x = 3, then 13. If y x ) for x 0, then f (g(x)) = g (f (x)) when x = a. ½ b. ½ c. 1 b. 4x a. 3 b. 3 c. AP CALCULUS BC SUMMER ASSIGNMENT DO NOT SHOW YOUR WORK ON THIS! Complt ts problms during t last two wks of August. SHOW ALL WORK. Know ow to do ALL of ts problms, so do tm wll. Itms markd wit a * dnot

More information

CBSE 2014 ANNUAL EXAMINATION ALL INDIA

CBSE 2014 ANNUAL EXAMINATION ALL INDIA CBSE ANNUAL EXAMINATION ALL INDIA SET Wih Complee Eplnions M Mrks : SECTION A Q If R = {(, y) : + y = 8} is relion on N, wrie he rnge of R Sol Since + y = 8 h implies, y = (8 ) R = {(, ), (, ), (6, )}

More information

EE Control Systems LECTURE 11

EE Control Systems LECTURE 11 Up: Moy, Ocor 5, 7 EE 434 - Corol Sy LECTUE Copyrigh FL Lwi 999 All righ rrv POLE PLACEMET A STEA-STATE EO Uig fc, o c ov h clo-loop pol o h h y prforc iprov O c lo lc uil copor o oi goo y- rcig y uyig

More information

Integration Continued. Integration by Parts Solving Definite Integrals: Area Under a Curve Improper Integrals

Integration Continued. Integration by Parts Solving Definite Integrals: Area Under a Curve Improper Integrals Intgrtion Continud Intgrtion y Prts Solving Dinit Intgrls: Ar Undr Curv Impropr Intgrls Intgrtion y Prts Prticulrly usul whn you r trying to tk th intgrl o som unction tht is th product o n lgric prssion

More information

S.Y. B.Sc. (IT) : Sem. III. Applied Mathematics. Q.1 Attempt the following (any THREE) [15]

S.Y. B.Sc. (IT) : Sem. III. Applied Mathematics. Q.1 Attempt the following (any THREE) [15] S.Y. B.Sc. (IT) : Sm. III Applid Mahmaics Tim : ½ Hrs.] Prlim Qusion Papr Soluion [Marks : 75 Q. Amp h following (an THREE) 3 6 Q.(a) Rduc h mari o normal form and find is rank whr A 3 3 5 3 3 3 6 Ans.:

More information

2. The Laplace Transform

2. The Laplace Transform Th aac Tranorm Inroucion Th aac ranorm i a unamna an vry uu oo or uying many nginring robm To in h aac ranorm w conir a comx variab σ, whr σ i h ra ar an i h imaginary ar or ix vau o σ an w viw a a oin

More information

Statistics Assessing Normality Gary W. Oehlert School of Statistics 313B Ford Hall

Statistics Assessing Normality Gary W. Oehlert School of Statistics 313B Ford Hall Siic 504 0. Aing Normliy Gry W. Ohlr School of Siic 33B For Hll 6-65-557 gry@.umn.u Mny procur um normliy. Som procur fll pr if h rn norml, whr ohr cn k lo of bu n kp going. In ihr c, i nic o know how

More information

The model proposed by Vasicek in 1977 is a yield-based one-factor equilibrium model given by the dynamic

The model proposed by Vasicek in 1977 is a yield-based one-factor equilibrium model given by the dynamic h Vsick modl h modl roosd by Vsick in 977 is yild-bsd on-fcor quilibrium modl givn by h dynmic dr = b r d + dw his modl ssums h h shor r is norml nd hs so-clld "mn rvring rocss" (undr Q. If w u r = b/,

More information

(2) If we multiplied a row of B by λ, then the value is also multiplied by λ(here lambda could be 0). namely

(2) If we multiplied a row of B by λ, then the value is also multiplied by λ(here lambda could be 0). namely . DETERMINANT.. Dtrminnt. Introution:I you think row vtor o mtrix s oorint o vtors in sp, thn th gomtri mning o th rnk o th mtrix is th imnsion o th prlllppi spnn y thm. But w r not only r out th imnsion,

More information

Midterm exam 2, April 7, 2009 (solutions)

Midterm exam 2, April 7, 2009 (solutions) Univrsiy of Pnnsylvania Dparmn of Mahmaics Mah 26 Honors Calculus II Spring Smsr 29 Prof Grassi, TA Ashr Aul Midrm xam 2, April 7, 29 (soluions) 1 Wri a basis for h spac of pairs (u, v) of smooh funcions

More information

1. Accident preve. 3. First aid kit ess 4. ABCs of life do. 6. Practice a Build a pasta sk

1. Accident preve. 3. First aid kit ess 4. ABCs of life do. 6. Practice a Build a pasta sk Y M D B D K P S V P U D hi p r ub g rup ck l yu cn 7 r, f r i y un civi i u ir r ub c fr ll y u n rgncy i un pg 3-9 bg i pr hich. ff c cn b ll p i f h grup r b n n c rk ivii ru gh g r! i pck? i i rup civ

More information

Elementary Differential Equations and Boundary Value Problems

Elementary Differential Equations and Boundary Value Problems Elmnar Diffrnial Equaions and Boundar Valu Problms Boc. & DiPrima 9 h Ediion Chapr : Firs Ordr Diffrnial Equaions 00600 คณ ตศาสตร ว ศวกรรม สาขาว ชาว ศวกรรมคอมพ วเตอร ป การศ กษา /55 ผศ.ดร.อร ญญา ผศ.ดร.สมศ

More information

EEE 303: Signals and Linear Systems

EEE 303: Signals and Linear Systems 33: Sigls d Lir Sysms Orhogoliy bw wo sigls L us pproim fucio f () by fucio () ovr irvl : f ( ) = c( ); h rror i pproimio is, () = f() c () h rgy of rror sigl ovr h irvl [, ] is, { }{ } = f () c () d =

More information

Inventory Management Models with Variable Holding Cost and Salvage value

Inventory Management Models with Variable Holding Cost and Salvage value OSR Journl of Business nd Mngemen OSR-JBM e-ssn: -X p-ssn: 9-. Volume ssue Jul. - Aug. PP - www.iosrjournls.org nvenory Mngemen Models wi Vrile Holding os nd Slvge vlue R.Mon R.Venkeswrlu Memics Dep ollege

More information

A L A BA M A L A W R E V IE W

A L A BA M A L A W R E V IE W A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N

More information

Average & instantaneous velocity and acceleration Motion with constant acceleration

Average & instantaneous velocity and acceleration Motion with constant acceleration Physics 7: Lecure Reminders Discussion nd Lb secions sr meeing ne week Fill ou Pink dd/drop form if you need o swich o differen secion h is FULL. Do i TODAY. Homework Ch. : 5, 7,, 3,, nd 6 Ch.: 6,, 3 Submission

More information

Chapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System

Chapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System EE 422G No: Chapr 5 Inrucor: Chung Chapr 5 Th Laplac Tranform 5- Inroducion () Sym analyi inpu oupu Dynamic Sym Linar Dynamic ym: A procor which proc h inpu ignal o produc h oupu dy ( n) ( n dy ( n) +

More information

A Study of the Solutions of the Lotka Volterra. Prey Predator System Using Perturbation. Technique

A Study of the Solutions of the Lotka Volterra. Prey Predator System Using Perturbation. Technique Inrnionl hmil orum no. 667-67 Sud of h Soluions of h o Volrr r rdor Ssm Using rurion Thniqu D.Vnu ol Ro * D. of lid hmis IT Collg of Sin IT Univrsi Vishnm.. Indi Y... Thorni D. of lid hmis IT Collg of

More information

15/03/1439. Lecture 4: Linear Time Invariant (LTI) systems

15/03/1439. Lecture 4: Linear Time Invariant (LTI) systems Lecre 4: Liner Time Invrin LTI sysems 2. Liner sysems, Convolion 3 lecres: Implse response, inp signls s coninm of implses. Convolion, discree-ime nd coninos-ime. LTI sysems nd convolion Specific objecives

More information

Stability of time-varying linear system

Stability of time-varying linear system KNWS 39 Sbiliy of im-vrying linr sysm An Szyd Absrc: In his ppr w considr sufficin condiions for h ponnil sbiliy of linr im-vrying sysms wih coninuous nd discr im Sbiliy gurning uppr bounds for diffrn

More information

Chahrazed L Journal of Scientific and Engineering Research, 2018, 5(4): and

Chahrazed L Journal of Scientific and Engineering Research, 2018, 5(4): and vilbl onlin www.jsr.com Journl of cinific n nginring srch 8 54:- srch ricl N: 94-6 CODNU: JB Mhmicl nlysis of wo pimic mols wih mporry immuniy Li Chhrz Dprmn of Mhmics Fculy of xc scincs Univrsiy frrs

More information

5.1-The Initial-Value Problems For Ordinary Differential Equations

5.1-The Initial-Value Problems For Ordinary Differential Equations 5.-The Iniil-Vlue Problems For Ordinry Differenil Equions Consider solving iniil-vlue problems for ordinry differenil equions: (*) y f, y, b, y. If we know he generl soluion y of he ordinry differenil

More information

INTERQUARTILE RANGE. I can calculate variabilityinterquartile Range and Mean. Absolute Deviation

INTERQUARTILE RANGE. I can calculate variabilityinterquartile Range and Mean. Absolute Deviation INTERQUARTILE RANGE I cn clcul vribiliyinrquril Rng nd Mn Absolu Dviion 1. Wh is h grs common fcor of 27 nd 36?. b. c. d. 9 3 6 4. b. c. d.! 3. Us h grs common fcor o simplify h frcion!".!". b. c. d.

More information

ELECTRIC VELOCITY SERVO REGULATION

ELECTRIC VELOCITY SERVO REGULATION ELECIC VELOCIY SEVO EGULAION Gorg W. Younkin, P.E. Lif FELLOW IEEE Indusril Conrols Consuling, Di. Bulls Ey Mrking, Inc. Fond du Lc, Wisconsin h prformnc of n lcricl lociy sro is msur of how wll h sro

More information

On the Speed of Heat Wave. Mihály Makai

On the Speed of Heat Wave. Mihály Makai On h Spd of Ha Wa Mihály Maai maai@ra.bm.hu Conns Formulaion of h problm: infini spd? Local hrmal qulibrium (LTE hypohsis Balanc quaion Phnomnological balanc Spd of ha wa Applicaion in plasma ranspor 1.

More information

Inventory Management Model with Quadratic Demand, Variable Holding Cost with Salvage value

Inventory Management Model with Quadratic Demand, Variable Holding Cost with Salvage value Asr Rsr Journl of Mngmn Sins ISSN 9 7 Vol. 8- Jnury Rs. J. Mngmn Si. Invnory Mngmn Modl wi udri Dmnd Vril Holding Cos wi Slvg vlu Mon R. nd Vnkswrlu R. F-Civil Dp of Mmis Collg of Miliry Enginring Pun

More information

Contraction Mapping Principle Approach to Differential Equations

Contraction Mapping Principle Approach to Differential Equations epl Journl of Science echnology 0 (009) 49-53 Conrcion pping Principle pproch o Differenil Equions Bishnu P. Dhungn Deprmen of hemics, hendr Rn Cmpus ribhuvn Universiy, Khmu epl bsrc Using n eension of

More information

Physics 2A HW #3 Solutions

Physics 2A HW #3 Solutions Chper 3 Focus on Conceps: 3, 4, 6, 9 Problems: 9, 9, 3, 41, 66, 7, 75, 77 Phsics A HW #3 Soluions Focus On Conceps 3-3 (c) The ccelerion due o grvi is he sme for boh blls, despie he fc h he hve differen

More information

Chapter 5 Transient Analysis

Chapter 5 Transient Analysis hpr 5 rs Alyss Jsug Jg ompl rspos rs rspos y-s rspos m os rs orr co orr Dffrl Equo. rs Alyss h ffrc of lyss of crcus wh rgy sorg lms (ucors or cpcors) & m-ryg sgls wh rss crcus s h h quos rsulg from r

More information

Thomas Whitham Sixth Form

Thomas Whitham Sixth Form Thomas Whitham Sith Form Pur Mathmatics Cor rvision gui Pag Algbra Moulus functions graphs, quations an inqualitis Graph of f () Draw f () an rflct an part of th curv blow th ais in th ais. f () f () f

More information

EE 350 Signals and Systems Spring 2005 Sample Exam #2 - Solutions

EE 350 Signals and Systems Spring 2005 Sample Exam #2 - Solutions EE 35 Signals an Sysms Spring 5 Sampl Exam # - Soluions. For h following signal x( cos( sin(3 - cos(5 - T, /T x( j j 3 j 3 j j 5 j 5 j a -, a a -, a a - ½, a 3 /j-j -j/, a -3 -/jj j/, a 5 -½, a -5 -½,

More information

Chapter 8: Propagating Quantum States of Radiation

Chapter 8: Propagating Quantum States of Radiation Quum Opcs f hcs Oplccs h R Cll Us Chp 8: p Quum Ss f R 8. lcmc Ms Wu I hs chp w wll cs pp quum ss f wus fs f spc. Cs h u shw lw f lcc wu. W ssum h h wu hs l lh qul h -c wll ssum l. Th lcc cs s fuc f l

More information

CS 688 Pattern Recognition. Linear Models for Classification

CS 688 Pattern Recognition. Linear Models for Classification //6 S 688 Pr Rcogiio Lir Modls for lssificio Ø Probbilisic griv modls Ø Probbilisic discrimiiv modls Probbilisic Griv Modls Ø W o ur o robbilisic roch o clssificio Ø W ll s ho modls ih lir dcisio boudris

More information

Pupil / Class Record We can assume a word has been learned when it has been either tested or used correctly at least three times.

Pupil / Class Record We can assume a word has been learned when it has been either tested or used correctly at least three times. 2 Pupi / Css Rr W ssum wr hs b r wh i hs b ihr s r us rry s hr ims. Nm: D Bu: fr i bus brhr u firs hf hp hm s uh i iv iv my my mr muh m w ih w Tik r pp push pu sh shu sisr s sm h h hir hr hs im k w vry

More information