After the completion of this section the student

Size: px
Start display at page:

Download "After the completion of this section the student"

Transcription

1 Real Fucios REAL FUNCTIONS Afer he copleio of his secio he sude - should recall he defiiio of he asic algeraic ad rascedeal fucios - should e ale o deerie he ai properies of he fucios ad graph he fucios. Cosa Fucio. Asolue Value. Liear Fucio. Quadraic Fucio 5. Poloials 6. Raioal Fucio 7. Irraioal Fucios 8. Epoeial Fucio 9. Logarihic Fucio. Trigooeric Fucios. Iverse Trigooeric Fucios. Hperolic Fucio. Review Quesios ad Eercises

2 Real Fucios REAL FUNCTIONS A surve of eleear real-valued fucios of real variale f : A wih heir defiiios ad ai properies is preseed. Fucios ca e give i eplici for f + i he iplici for f (, ) or ca e give paraericall f g + Fucios ca e also specified heir graph or give a ale of values. Fucios are called algeraic if he are poloials, roos or raioal fucios, oherwise he are called rascedeal fucios (epoeial, logarihic, hperolic, rigooeric). The rascedeal fucios ofe ca e defied he ifiie series. Properies of he fucios iclude: doai of defiiio, rage of values, quadra, periodici, oooici, ser, aspoes, characerisic paricular values (zeros, poles, pois of discoiui, erees, pois of iflecio).. CONSTANT FUNCTION: The cosa fucio is defied equaio f c f c I assigs he sae value c for all values of variale. The cosa fucio is a soluio of differeial equaio d f ( ) d Graphicall, he cosa fucio is represeed a horizoal sraigh lie,c. I is defied equaio c. passes hrough he poi. ABSOLUTE VALUE: The asolue value fucio f is defied as if - if < The oher defiiio of he asolue value fucio uses he roo of he square I defies he disace ewee he pois ad o he real lie. Fucio is defied for all. The fucio values are ever egaive, he rage of values: <. Graph of he fucio f Shifig alog he -ais: f f a Properies:. ol if. for all. for all,. for all, for all, (riagle iequali)

3 Real Fucios. LINEAR FUNCTION: A liear fucio is a fucio defied for all real uers which descries a sraigh lie i he plae f a + I is give a poloial of degree oe wih he followig fors of equaio: ) Slope-iercep equaio: +, is called he slope ad is called he iercep of he fucio. The iercep raslaes he fucio alog he -ais. Icree of a pois o he lie: ) Lie passes hrough he poi (, ) wih he slope : + ) Lie passes hrough wo fied pois (, ) ad (, ) + The slope defies he icliaio of he lie ad he agle wih he -ais eclosed he lie aϕ ) Geeral liear equaio: A + B + C A,B,C A + B > ) Paraeric equaio of he lie: + 5) Differeial equaio of he lie d f ( ) d < < The liear fucio is sricl icreasig for > sricl decreasig for < a cosa for

4 Real Fucios Perpedicular lies If wo o-verical lies + ad + are perpedicular, he a Proof: aφ h h aφ a φ a a h. QUADRATIC FUNCTION: Quadraic fucio is a fucio defied for all real uers he equaio a + + c a + + c a a This equaio ca e reduced o he full square for: a + + c a a The graph of he quadraic fucio is a paraola shifed o he lef a ad up c. a The poi,c is called he vere of he paraola. a a For a >, cocave up wih a gloal iiu a ; a for a <, cocave dow wih a gloal aiu a. a The paraola is seric wih respec o verical lie. a The roos of quadraic equaio a + + c deerie he pois of iersecio of he paraola wih he -ais: If he discriia, ac D ± ± a a ± D,. If he discriia a iersecio a. If he discriia a has o iersecios wih he -ais. D ac >, he here are wo iersecios a Differeial equaio for he quadraic fucio: d f a d D ac, he here is he D ac <, he he paraola Power fucio The power fucio is defied all he equaio f a,,,,... a I is called he ooial fucio.

5 Real Fucios 5. POLYNOMIALS: A liear coiaio of oos of differe powers fors he poloial fucio f a + a a + a a,a,...,a The highes power of he oos,, is called he degree of he poloial. a,a,...,a are he coefficies of he poloial, ad a is called he leadig coefficie. The poloial fucio is defied for all real uers, ad he rage of he fucio depeds o he special case of poloial. < f <. For odd, he rage is 5 f + + I geeral, he poloial fucio is o seric. Bu if he poloial coais ol eve powers, he i has irror ser aou he ais. Ad if he poloial coais ol odd powers he i has poi ser aou he origi. The graph of he poloial fucio ca have a os iersecios wih he -ais (real zeros). If is odd he i has a leas oe real zero. I also ca have up o erees ad up o pois of iflecio. The liear poloial ol if is a facor of he poloial fucio f is a zero of he poloial, i.e. f ( ). if ad Accordig o he Fudaeal Theore of Algera, he poloial fucio has eacl zeros which ca e cople or real, sigle or repeaed. Because he poloial fucio has ol real coefficies, he he cople zeros appear i cojugae pairs. I eas ha he poloial ca e represeed as a produc of liear facors correspodig o real zeros ad irreducile quadraic facors which correspod o cople zeros. For eaple, he cuic poloial f + has oe real zero ad wo cojugae cople zeros, ± i. I ca e facored i he followig wa + ( )( )( + ) ( )( + ) f i i I geeral, he h he poloial is represeed as a produc of liear facors s s s k f a k where i is he real or cople zero of uliplici s i, ad k is he oal uer of disic zeros. Alhough he zeros of poloial up o degree ca e calculaed aalicall, i pracice ol for he quadraic poloial he aalic forula is used:, a ± a a a a For poloials of higher degree, i geeral, he uerical ehods are used. I Maple, he poloials ca e facored wih he followig coad: > facor(^5-^-+); ( + ) ( + ) ( ) The roos of he poloial fucio ca e foud > solve(^5-*^+^++.,);., , I, I,

6 Real Fucios 6. RATIONAL FUNCTION: A raioal fucio is defied as a quoie of wo poloial fucios: p + p p + p P f ( ) q q... q q Q where P ( ) ad correspodigl. Q are he poloial fucios of degrees ad, If < he he raioal fucio is called proper. If > he he raioal fucio is called iproper. B poloial divisio (log divisio), a iproper raioal fucio ca alwas e represeed as a su of poloial ad a proper raioal fucio: P rl f ( ) p + wih l < Q Q where he ueraor poloial r l is called a reaider. B parial fracio decoposiio, he reaider fucio as a su of siple parial fracios (see Secio..5). r l Q ca e wrie Log Divisio P Q p + p p + p q q... q q q + q q + q p q + p + p p + p p q p q p q p q q q Eaple: P +, p q + p... q Q p P Q Therefore, r reaider P + 8 f Q

7 Real Fucios The log divisio ogeher wih he parial fracio decoposiio of he reaider fucio ca e perfored wih Maple he followig coad: > cover((*^-^+)/(^+*+),parfrac,); Graphig raioal fucios: The zeros of he deoiaor poloial Q ( + ) deerie he doai of he raioal fucio ad he poles of is graph. The paricular shape of he graph, is erees ad pois of iflecio deped o he idividual case. The irror ser of he graph aou he -ais occur i he cases whe oh he deoiaor ad he ueraor poloials have ol eve or ol he odd powers. The poi ser of he graph aou he origi occur i he case whe oe of he poloials has ol eve powers ad he oher poloial ol odd powers. Eaples: f graph wih poles f o ser f irror ser f 6 + poi ser

8 Real Fucios 7. IRRATIONAL FUNCTIONS: This is a wide class of fucios which icludes square roo ad cuic roo fucios; roo fucios of ieger order ; power fucios wih fracioal epoes,,, or he r real epoe, r ; roos of poloials ad raioal fucios, ec. Cosider soe defiiios of hese fucios: Roo fucio of ieger order f for as a iverse of he power fucio:,, > is defied if ad for egaive epoes f For odd, he roo fucio is defied also for egaive values as f, < Rules for Radicals: Le a, ad,, he a a a a a a a Power fucio of fracioal order f,, is defied as he h roo of he h power wih > ad f 5 f a a a ( a ) a if is eve, if is odd The doai of he fucio depeds o he paricular values of ad : l ( l l ) e e e, he if is eve he doai is. a Power fucio of real order f, a is defied for > as a a l f e f

9 Real Fucios 8. EXPONENTIAL FUNCTION: Le e a posiive real uer o equal o,, >,. The he fucio f f e is a epoeial fucio wih ase. If e, where e is a aural uer defied as a lii e li +.788, he he fucio is called a epoeial fucio: f e The relaioship ewee fucios is esalished he followig equaio: e e e l l where l is a aural logarih of (see e secio). l A epoeial fucio f e ca e defied for all real i oe of he followig was: ) Real power of he uer e: { } where if ifiu r e if e e r, r> ) Iverse of a aural logarih fucio: ) As a lii e if l, > e li + ) Power series (coverge for all real ) k e k k! 6 5) As he soluio of he iiial value prole d d The geeral epoeial fucio d f ca + k Epoeial Model The fucio f ce, k > odels epoeial growh ad k f ce, k > odels epoeial deca. Rules for epoes: for a a >, > ad for all, a a a + a a a a a a a a a a

10 Real Fucios 9. LOGARITHMIC FUNCTION: Le e a posiive real uer o equal o :, >,. The he fucio f log f l is a logarih fucio wih ase (geeral logarih). If e, where e is a aural uer defied as a lii e li +.788, he he fucio is called a aural logarih (usuall, logarih wihou saig he ase eas he aural logarih): f loge l The relaioship ewee fucio is esalished he followig equaio: l log l The logarih fucio ca e defied as iverse of he epoeial fucio: log if for all > l if e for all > Rules of logarihs: For all real > ad > : log log + log l l + l produc rule log log log l l l quoie rule log log l l power rule log l log l e log l e log le log log l l oe! log ( + ) log + log l + l + l (pical isake) I pre-copuer (pre-calculaor) era, he logarihs were he ai ool for perforig ariheic operaios. Coversio forulas: l e l log l

11 Real Fucios Proof: sar wih log defiiio l l l l l ake logarih l power rule solve for Epoeial growh (deca) odel Q Q e ± k where Q is he iiial aou of susace a ) if i is give Q he aou of susace a, he Q k k Q e Q e Q Q k l Q The epoeial odel ecoes: epoeial deca odel Q Q e k Q Q l l Q Q Q Q Q e Q e Q e Q Q k ) Half-life ie h is defied as he ie eeded for susace o e reduced a half: Q kh Q e k > The kh e l le kh l kh k l h The epoeial odel ecoes: l k h h Q Q e Q e Q epoeial growh odel Q Q e k ) Doulig ie D is defied as he ie eeded for susace o e douled: Q The kh Q e k > e kh l le l kd kd k l D The epoeial odel ecoes: l k D D Q Q e Q e Q

12 Real Fucios. TRIGONOMETRIC FUNCTIONS: The rigooeric fucios (also called he circular fucios), i calculus, are defied wih he help of he ui circle (circle of radius ). Cosider a ui circle wih a ceer placed a he origi of he Caresia coordiaes i he plae. Cosider a poi o he circle wih he,. The sege coecig he poi wih he origi Fucios si (, ) coordiaes has he ui legh. Fro he Phagorea Theore follows + This sege fors a agle wih he -aes coued posiive i couer-clock direcio ad egaive i clock direcio. The agles are easured i ers of radias, where radia is a easure of he agle which correspods o he arc of legh o he ui circle. No uis are aached o he value of agles i radias. Deoe he easure of agles he variale. The pois of iersecio of he ui circle wih coordiae aes correspod o agles, (righ agle), (srigh agle),, ad whe we reur o he firs poi, (full agle). The roaio of he poi o he ui circle i he couer-clock direcio defies he periodic values of agles correspodig o he sae poi o he ui circle α + where is a uer of full roaios The he se of all possile agles defied he pois o he ui circle is he se of real uers., cos The asic rigooeric fucios are defied for all i he followig wa: si cos Because he sae coordiaes correspod o he agle afer he full roaio, he iroduced fucios have he period p : ( + ) ( ) si si cos + cos The rage of oh fucios is ewee ad. The values of fucios si ad cos for he ke agles i he firs quadra ca e easil deeried fro he righ riagles are idicaed i he followig graph. The also ca e ploed i he graph aove he, ieldig a curve which is a ai elee i ierval [ ] cosrucig he graph of oh fucios floppig ad reflecios: agle 6 si 6

13 Real Fucios si period cos period These wo graphs deosrae ha oe of he fucios ca e oaied shifig he oher: cos si + si cos Tale of he paricular values: agle si cos Siusoidal Fucio c d+a si c d + a si period Ke poi ehod for graphig he siusoidal fucio (oe period): a > period d + a apliude d d a c c phase shif c +

14 Real Fucios Oher Trigooeric Fucios: si a cos cos co si csc si sec cos agle a a period 6 6 agle co co period 5 6 6

15 Real Fucios agle csc ± ± ± sec ± ± csc period si sec period cos

16 Real Fucios Power Series Defiiio The rigooeric fucios also ca e defied he followig ifiie series coverge for all : k si + + k! 6 5 k k ( + ) k 6 cos + + k! 7 k k ad coverge i he ierval: a co < < < < sec < < csc < < Phagorea Ideiies: The Phagorea Theore ields is rigooeric versio si si + cos which esalishes he coecio ewee fucios: si ± cos sig depeds o he value of cos cos ± si B divisio of he Phagorea idei cos ad si, cosequel, oe also ca oai he followig forulas: + a sec + co csc Ser si( ) si odd fucio cos ( ) cos eve fucio Coplie Forulas si cos cos si a ± co co a a co co ± a Agle Su Forulas si( + s ) cos si s + si cos s si( s ) si cos s si s cos cos ( + s ) cos cos s si si s cos ( s ) cos cos s + si si s

17 Real Fucios Doule Agle Forulas si si cos cos cos si cos si a a a Power Reducig Forulas + cos cos cos si cos a cos Half Agle Forulas cos si ± + cos cos ± -cos si a si + cos Produc-o-Su si u si v cos ( u v) cos ( u + v) cos u cos v cos ( u v) cos ( u v) + + siu cos v si ( u v) si( u v) + + cos u siv si ( u v) si( u v) + Su-o-Produc u + v u v siu + si v si cos u + v u v siu si v cos si u + v u v cos u + cos v cos cos u + v u v cos u cos v si si

18 Real Fucios. INVERSE TRIGONOMETRIC FUNCTIONS: priciple ierval si All rigooeric fucios are o oe-o-oe (oviousl, ha horizoal lie es fails for he). Therefore, for cosrucio of he iverse fucio, we choose ol he ierval where a rigooeric fucio is oe-o-oe (priciple ierval) ad defie he iverse fucios i he followig wa: ) si if si for all si ) if cos for all cos cos priciple ierval cos Accordig o defiiio: ( ) ( ) si si cos cos si si cos cos

19 Real Fucios. HYPERBOLIC FUNCTIONS: The hperolic fucios are defied wih he help of epoeial fucios: e sih e k k!! 5! 7! k ( + ) e cosh + e k k!!! 6! k cosh sih Value a : sih cosh Ser: sih( ) sih cosh( ) cosh Derivaive: sih cosh cosh sih Ideiies: cosh sih Phagorea Idei cosh + sih e De Moivre s forulas cosh sih e [ ] cosh + sih cosh + sih e [ ] cosh sih cosh sih e

20 Real Fucios. REVIEW QUESTIONS: ) B wha properies he fucios are characerized? ) Wha are he doai ad he rage of he fucios? ) Wha fucios are algeraic ad fucios are rascedeal? EXERCISES: ) Skech he graph of he reak fucio defied wih he help of he asolue value fucio + f ) Skech he graph of he fucios: f a) ) f + 5 ) Skech he graph of he fucios: a) f log ) f log 5 c) f log.5 d). e) f log ( 5) f) f log f log g) f log ( ) h) f log ( + ) i) f + e j) f + e k) f + e l) ) f ) f + e 5 f ) Prove he properies for he geeral power fucio: a) a a + a ) 5) Derive he rigooeric ideiies: a) si si si ) c) si si si d) 6) Evaluae: si cos a) c) si( cos ) 7) Skech he graph of he fucios: f si a) a cos cos cos cos + cos cos ) cos ( si ) d) cos ( si ) c) f ( ) + si( ) d) e) f si cos ) f cos ( + ) f 5+cos f) f si g) f si h) i) f si j) k) f a l) ) f sec ) f cos f cos f co f csc

21 Real Fucios o) f si p) r) f si s) i) f + si j) 8) a) Fid a epoeial fucio fied pois (, ) ad f cos f l f + l ae he graph of which passes wo,. Usig properies of epoeial ad logarihic fucios siplif he epressio ad skech he graph. ) Fid a epoeial fucio fied pois (, ) ad ae he graph of which passes wo,. Usig properies of epoeial ad logarihic fucios siplif he epressio ad skech he graph. 9) Epress he raioal fucio as a su of he poloial ad a proper raioal fucio ad skech he graph: a) f + + ) f ) a) A a oe of ie, he rae of producio of a cerai iological k susace is descried he epoeial growh odel Q( ) Q e. If afer hour here is l of he susace ad afer hours he aou is 8 l, how uch of he susace will e here afer hours of producio? ) A a oe of ie, he rae of producio of a cerai iological k susace is descried he epoeial growh odel Q( ) Q e. If afer hour here is l of he susace ad afer hours he aou is l, how uch of he susace was here iiiall? c) A a oe of ie, he rae of fissio of a cerai susace is k descried he epoeial deca odel Q( ) Q e. The half-life ie is kow o e hours. If afer hour here is l of he susace, how uch of he susace was here iiiall? ) Skech he graph of he fucios: a) f cosh sih ) f sih + cosh sih cosh c) f ah d) cosh f) f sech g) ) Derive he ideiies: cosh f coh sih f csch sih a) cosh sih ) ah sech ) Fid he iverse of he fucios ad skech he graph of oh of he: + a) f ) f + + c) f d) f si f) g) f + f

22 Real Fucios Novosiirsk Sae Uiversi

Chapter I MATH FUNDAMENTALS I.3 Real Functions 27. After the completion of this section the student

Chapter I MATH FUNDAMENTALS I.3 Real Functions 27. After the completion of this section the student Chaper I MATH FUNDAMENTALS I. Real Fucios 7 I. REAL FUNCTIONS Ojecives: Afer he compleio of his secio he sude - should recall he defiiio of he asic algeraic ad rascedeal fucios - should e ale o deermie

More information

Calculus BC 2015 Scoring Guidelines

Calculus BC 2015 Scoring Guidelines AP Calculus BC 5 Scorig Guidelies 5 The College Board. College Board, Advaced Placeme Program, AP, AP Ceral, ad he acor logo are regisered rademarks of he College Board. AP Ceral is he official olie home

More information

MCR3U FINAL EXAM REVIEW (JANUARY 2015)

MCR3U FINAL EXAM REVIEW (JANUARY 2015) MCRU FINAL EXAM REVIEW (JANUARY 0) Iroducio: This review is composed of possible es quesios. The BEST wa o sud for mah is o do a wide selecio of quesios. This review should ake ou a oal of hours of work,

More information

2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i)

2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i) Mah PracTes Be sure o review Lab (ad all labs) There are los of good quesios o i a) Sae he Mea Value Theorem ad draw a graph ha illusraes b) Name a impora heorem where he Mea Value Theorem was used i he

More information

In this section we will study periodic signals in terms of their frequency f t is said to be periodic if (4.1)

In this section we will study periodic signals in terms of their frequency f t is said to be periodic if (4.1) Fourier Series Iroducio I his secio we will sudy periodic sigals i ers o heir requecy is said o be periodic i coe Reid ha a sigal ( ) ( ) ( ) () or every, where is a uber Fro his deiiio i ollows ha ( )

More information

Calculus Limits. Limit of a function.. 1. One-Sided Limits...1. Infinite limits 2. Vertical Asymptotes...3. Calculating Limits Using the Limit Laws.

Calculus Limits. Limit of a function.. 1. One-Sided Limits...1. Infinite limits 2. Vertical Asymptotes...3. Calculating Limits Using the Limit Laws. Limi of a fucio.. Oe-Sided..... Ifiie limis Verical Asympoes... Calculaig Usig he Limi Laws.5 The Squeeze Theorem.6 The Precise Defiiio of a Limi......7 Coiuiy.8 Iermediae Value Theorem..9 Refereces..

More information

Energy Density / Energy Flux / Total Energy in 1D. Key Mathematics: density, flux, and the continuity equation.

Energy Density / Energy Flux / Total Energy in 1D. Key Mathematics: density, flux, and the continuity equation. ecure Phys 375 Eergy Desiy / Eergy Flu / oal Eergy i D Overview ad Moivaio: Fro your sudy of waves i iroducory physics you should be aware ha waves ca raspor eergy fro oe place o aoher cosider he geeraio

More information

Review Exercises for Chapter 9

Review Exercises for Chapter 9 0_090R.qd //0 : PM Page 88 88 CHAPTER 9 Ifiie Series I Eercises ad, wrie a epressio for he h erm of he sequece..,., 5, 0,,,, 0,... 7,... I Eercises, mach he sequece wih is graph. [The graphs are labeled

More information

ECE-314 Fall 2012 Review Questions

ECE-314 Fall 2012 Review Questions ECE-34 Fall 0 Review Quesios. A liear ime-ivaria sysem has he ipu-oupu characerisics show i he firs row of he diagram below. Deermie he oupu for he ipu show o he secod row of he diagram. Jusify your aswer.

More information

1. Solve by the method of undetermined coefficients and by the method of variation of parameters. (4)

1. Solve by the method of undetermined coefficients and by the method of variation of parameters. (4) 7 Differeial equaios Review Solve by he mehod of udeermied coefficies ad by he mehod of variaio of parameers (4) y y = si Soluio; we firs solve he homogeeous equaio (4) y y = 4 The correspodig characerisic

More information

Extremal graph theory II: K t and K t,t

Extremal graph theory II: K t and K t,t Exremal graph heory II: K ad K, Lecure Graph Theory 06 EPFL Frak de Zeeuw I his lecure, we geeralize he wo mai heorems from he las lecure, from riagles K 3 o complee graphs K, ad from squares K, o complee

More information

N! AND THE GAMMA FUNCTION

N! AND THE GAMMA FUNCTION N! AND THE GAMMA FUNCTION Cosider he produc of he firs posiive iegers- 3 4 5 6 (-) =! Oe calls his produc he facorial ad has ha produc of he firs five iegers equals 5!=0. Direcly relaed o he discree! fucio

More information

L-functions and Class Numbers

L-functions and Class Numbers L-fucios ad Class Numbers Sude Number Theory Semiar S. M.-C. 4 Sepember 05 We follow Romyar Sharifi s Noes o Iwasawa Theory, wih some help from Neukirch s Algebraic Number Theory. L-fucios of Dirichle

More information

Math-303 Chapter 7 Linear systems of ODE November 16, Chapter 7. Systems of 1 st Order Linear Differential Equations.

Math-303 Chapter 7 Linear systems of ODE November 16, Chapter 7. Systems of 1 st Order Linear Differential Equations. Mah-33 Chaper 7 Liear sysems of ODE November 6, 7 Chaper 7 Sysems of s Order Liear Differeial Equaios saddle poi λ >, λ < Mah-33 Chaper 7 Liear sysems of ODE November 6, 7 Mah-33 Chaper 7 Liear sysems

More information

K3 p K2 p Kp 0 p 2 p 3 p

K3 p K2 p Kp 0 p 2 p 3 p Mah 80-00 Mo Ar 0 Chaer 9 Fourier Series ad alicaios o differeial equaios (ad arial differeial equaios) 9.-9. Fourier series defiiio ad covergece. The idea of Fourier series is relaed o he liear algebra

More information

LIMITS OF FUNCTIONS (I)

LIMITS OF FUNCTIONS (I) LIMITS OF FUNCTIO (I ELEMENTARY FUNCTIO: (Elemeary fucios are NOT piecewise fucios Cosa Fucios: f(x k, where k R Polyomials: f(x a + a x + a x + a x + + a x, where a, a,..., a R Raioal Fucios: f(x P (x,

More information

Big O Notation for Time Complexity of Algorithms

Big O Notation for Time Complexity of Algorithms BRONX COMMUNITY COLLEGE of he Ciy Uiversiy of New York DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCE CSI 33 Secio E01 Hadou 1 Fall 2014 Sepember 3, 2014 Big O Noaio for Time Complexiy of Algorihms Time

More information

Chemistry 1B, Fall 2016 Topics 21-22

Chemistry 1B, Fall 2016 Topics 21-22 Cheisry B, Fall 6 Topics - STRUCTURE ad DYNAMICS Cheisry B Fall 6 Cheisry B so far: STRUCTURE of aos ad olecules Topics - Cheical Kieics Cheisry B ow: DYNAMICS cheical kieics herodyaics (che C, 6B) ad

More information

Solutions to selected problems from the midterm exam Math 222 Winter 2015

Solutions to selected problems from the midterm exam Math 222 Winter 2015 Soluios o seleced problems from he miderm eam Mah Wier 5. Derive he Maclauri series for he followig fucios. (cf. Pracice Problem 4 log( + (a L( d. Soluio: We have he Maclauri series log( + + 3 3 4 4 +...,

More information

(C) x 3 + y 3 = 2(x 2 + y 2 ) (D) x y 2 (A) (10)! (B) (11)! (C) (10)! + 1 (D) (11)! 1. n in the expansion of 2 (A) 15 (B) 45 (C) 55 (D) 56

(C) x 3 + y 3 = 2(x 2 + y 2 ) (D) x y 2 (A) (10)! (B) (11)! (C) (10)! + 1 (D) (11)! 1. n in the expansion of 2 (A) 15 (B) 45 (C) 55 (D) 56 Cocep rackig paper-7 (ST+BT) Q. If 60 a = ad 60 b = 5 he he value of SINGLE OPTION CORRECT a b ( b) equals (D) Time-5hrs 0mis. Q. ( + x) ( + x + x ) ( + x + x + x )... ( + x + x +... + x 00 ) whe wrie

More information

Using Linnik's Identity to Approximate the Prime Counting Function with the Logarithmic Integral

Using Linnik's Identity to Approximate the Prime Counting Function with the Logarithmic Integral Usig Lii's Ideiy o Approimae he Prime Couig Fucio wih he Logarihmic Iegral Naha McKezie /26/2 aha@icecreambreafas.com Summary:This paper will show ha summig Lii's ideiy from 2 o ad arragig erms i a cerai

More information

th m m m m central moment : E[( X X) ] ( X X) ( x X) f ( x)

th m m m m central moment : E[( X X) ] ( X X) ( x X) f ( x) 1 Trasform Techiques h m m m m mome : E[ ] x f ( x) dx h m m m m ceral mome : E[( ) ] ( ) ( x) f ( x) dx A coveie wa of fidig he momes of a radom variable is he mome geeraig fucio (MGF). Oher rasform echiques

More information

Math 2414 Homework Set 7 Solutions 10 Points

Math 2414 Homework Set 7 Solutions 10 Points Mah Homework Se 7 Soluios 0 Pois #. ( ps) Firs verify ha we ca use he iegral es. The erms are clearly posiive (he epoeial is always posiive ad + is posiive if >, which i is i his case). For decreasig we

More information

UNIT 1: ANALYTICAL METHODS FOR ENGINEERS

UNIT 1: ANALYTICAL METHODS FOR ENGINEERS UNIT : ANALYTICAL METHODS FOR ENGINEERS Ui code: A// QCF Level: Credi vale: OUTCOME TUTORIAL SERIES Ui coe Be able o aalyse ad model egieerig siaios ad solve problems sig algebraic mehods Algebraic mehods:

More information

EXAMPLE SHEET B (Partial Differential Equations) SPRING 2014

EXAMPLE SHEET B (Partial Differential Equations) SPRING 2014 Copuaioal Mechaics Eaples B - David Apsle EXAMPLE SHEET B Parial Differeial Equaios SPRING 0 B. Solve he parial differeial equaio 0 0 o, u u u u B. Classif he followig d -order PDEs as hperbolic, parabolic

More information

14.02 Principles of Macroeconomics Fall 2005

14.02 Principles of Macroeconomics Fall 2005 14.02 Priciples of Macroecoomics Fall 2005 Quiz 2 Tuesday, November 8, 2005 7:30 PM 9 PM Please, aswer he followig quesios. Wrie your aswers direcly o he quiz. You ca achieve a oal of 100 pois. There are

More information

The analysis of the method on the one variable function s limit Ke Wu

The analysis of the method on the one variable function s limit Ke Wu Ieraioal Coferece o Advaces i Mechaical Egieerig ad Idusrial Iformaics (AMEII 5) The aalysis of he mehod o he oe variable fucio s i Ke Wu Deparme of Mahemaics ad Saisics Zaozhuag Uiversiy Zaozhuag 776

More information

ES 330 Electronics II Homework 03 (Fall 2017 Due Wednesday, September 20, 2017)

ES 330 Electronics II Homework 03 (Fall 2017 Due Wednesday, September 20, 2017) Pae1 Nae Soluios ES 330 Elecroics II Hoework 03 (Fall 017 ue Wedesday, Sepeber 0, 017 Proble 1 You are ive a NMOS aplifier wih drai load resisor R = 0 k. The volae (R appeari across resisor R = 1.5 vols

More information

Manipulations involving the signal amplitude (dependent variable).

Manipulations involving the signal amplitude (dependent variable). Oulie Maipulaio of discree ime sigals: Maipulaios ivolvig he idepede variable : Shifed i ime Operaios. Foldig, reflecio or ime reversal. Time Scalig. Maipulaios ivolvig he sigal ampliude (depede variable).

More information

Math 6710, Fall 2016 Final Exam Solutions

Math 6710, Fall 2016 Final Exam Solutions Mah 67, Fall 6 Fial Exam Soluios. Firs, a sude poied ou a suble hig: if P (X i p >, he X + + X (X + + X / ( evaluaes o / wih probabiliy p >. This is roublesome because a radom variable is supposed o be

More information

Effects of Forces Applied in the Middle Plane on Bending of Medium-Thickness Band

Effects of Forces Applied in the Middle Plane on Bending of Medium-Thickness Band MATEC We of Cofereces 7 7 OI:./ maeccof/77 XXVI R-S-P Semiar 7 Theoreical Foudaio of Civil Egieerig Effecs of Forces Applied i he Middle Plae o Bedig of Medium-Thickess Bad Adre Leoev * Moscow sae uiversi

More information

Section 4.4 Logarithmic Properties

Section 4.4 Logarithmic Properties Secion. Logarihmic Properies 59 Secion. Logarihmic Properies In he previous secion, we derived wo imporan properies of arihms, which allowed us o solve some asic eponenial and arihmic equaions. Properies

More information

Moment Generating Function

Moment Generating Function 1 Mome Geeraig Fucio m h mome m m m E[ ] x f ( x) dx m h ceral mome m m m E[( ) ] ( ) ( x ) f ( x) dx Mome Geeraig Fucio For a real, M () E[ e ] e k x k e p ( x ) discree x k e f ( x) dx coiuous Example

More information

λiv Av = 0 or ( λi Av ) = 0. In order for a vector v to be an eigenvector, it must be in the kernel of λi

λiv Av = 0 or ( λi Av ) = 0. In order for a vector v to be an eigenvector, it must be in the kernel of λi Liear lgebra Lecure #9 Noes This week s lecure focuses o wha migh be called he srucural aalysis of liear rasformaios Wha are he irisic properies of a liear rasformaio? re here ay fixed direcios? The discussio

More information

Comparison between Fourier and Corrected Fourier Series Methods

Comparison between Fourier and Corrected Fourier Series Methods Malaysia Joural of Mahemaical Scieces 7(): 73-8 (13) MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES Joural homepage: hp://eispem.upm.edu.my/oural Compariso bewee Fourier ad Correced Fourier Series Mehods 1

More information

Class 36. Thin-film interference. Thin Film Interference. Thin Film Interference. Thin-film interference

Class 36. Thin-film interference. Thin Film Interference. Thin Film Interference. Thin-film interference Thi Film Ierferece Thi- ierferece Ierferece ewee ligh waves is he reaso ha hi s, such as soap ules, show colorful paers. Phoo credi: Mila Zikova, via Wikipedia Thi- ierferece This is kow as hi- ierferece

More information

1 Notes on Little s Law (l = λw)

1 Notes on Little s Law (l = λw) Copyrigh c 26 by Karl Sigma Noes o Lile s Law (l λw) We cosider here a famous ad very useful law i queueig heory called Lile s Law, also kow as l λw, which assers ha he ime average umber of cusomers i

More information

Ideal Amplifier/Attenuator. Memoryless. where k is some real constant. Integrator. System with memory

Ideal Amplifier/Attenuator. Memoryless. where k is some real constant. Integrator. System with memory Liear Time-Ivaria Sysems (LTI Sysems) Oulie Basic Sysem Properies Memoryless ad sysems wih memory (saic or dyamic) Causal ad o-causal sysems (Causaliy) Liear ad o-liear sysems (Lieariy) Sable ad o-sable

More information

F D D D D F. smoothed value of the data including Y t the most recent data.

F D D D D F. smoothed value of the data including Y t the most recent data. Module 2 Forecasig 1. Wha is forecasig? Forecasig is defied as esimaig he fuure value ha a parameer will ake. Mos scieific forecasig mehods forecas he fuure value usig pas daa. I Operaios Maageme forecasig

More information

Problems and Solutions for Section 3.2 (3.15 through 3.25)

Problems and Solutions for Section 3.2 (3.15 through 3.25) 3-7 Problems ad Soluios for Secio 3 35 hrough 35 35 Calculae he respose of a overdamped sigle-degree-of-freedom sysem o a arbirary o-periodic exciaio Soluio: From Equaio 3: x = # F! h "! d! For a overdamped

More information

LIMITS OF SEQUENCES AND FUNCTIONS

LIMITS OF SEQUENCES AND FUNCTIONS ФЕДЕРАЛЬНОЕ АГЕНТСТВО ПО ОБРАЗОВАНИЮ Государственное образовательное учреждение высшего профессионального образования «ТОМСКИЙ ПОЛИТЕХНИЧЕСКИЙ УНИВЕРСИТЕТ» VV Koev LIMITS OF SEQUENCES AND FUNCTIONS TeBook

More information

Lecture 15: Three-tank Mixing and Lead Poisoning

Lecture 15: Three-tank Mixing and Lead Poisoning Lecure 15: Three-ak Miig ad Lead Poisoig Eigevalues ad eigevecors will be used o fid he soluio of a sysem for ukow fucios ha saisfy differeial equaios The ukow fucios will be wrie as a 1 colum vecor [

More information

Notes 03 largely plagiarized by %khc

Notes 03 largely plagiarized by %khc 1 1 Discree-Time Covoluio Noes 03 largely plagiarized by %khc Le s begi our discussio of covoluio i discree-ime, sice life is somewha easier i ha domai. We sar wih a sigal x[] ha will be he ipu io our

More information

EXISTENCE THEORY OF RANDOM DIFFERENTIAL EQUATIONS D. S. Palimkar

EXISTENCE THEORY OF RANDOM DIFFERENTIAL EQUATIONS D. S. Palimkar Ieraioal Joural of Scieific ad Research Publicaios, Volue 2, Issue 7, July 22 ISSN 225-353 EXISTENCE THEORY OF RANDOM DIFFERENTIAL EQUATIONS D S Palikar Depare of Maheaics, Vasarao Naik College, Naded

More information

Section 4.4 Logarithmic Properties

Section 4.4 Logarithmic Properties Secion. Logarihmic Properies 5 Secion. Logarihmic Properies In he previous secion, we derived wo imporan properies of arihms, which allowed us o solve some asic eponenial and arihmic equaions. Properies

More information

BE.430 Tutorial: Linear Operator Theory and Eigenfunction Expansion

BE.430 Tutorial: Linear Operator Theory and Eigenfunction Expansion BE.43 Tuorial: Liear Operaor Theory ad Eigefucio Expasio (adaped fro Douglas Lauffeburger) 9//4 Moivaig proble I class, we ecouered parial differeial equaios describig rasie syses wih cheical diffusio.

More information

Electrical Engineering Department Network Lab.

Electrical Engineering Department Network Lab. Par:- Elecrical Egieerig Deparme Nework Lab. Deermiaio of differe parameers of -por eworks ad verificaio of heir ierrelaio ships. Objecive: - To deermie Y, ad ABD parameers of sigle ad cascaded wo Por

More information

Section 8 Convolution and Deconvolution

Section 8 Convolution and Deconvolution APPLICATIONS IN SIGNAL PROCESSING Secio 8 Covoluio ad Decovoluio This docume illusraes several echiques for carryig ou covoluio ad decovoluio i Mahcad. There are several operaors available for hese fucios:

More information

C(p, ) 13 N. Nuclear reactions generate energy create new isotopes and elements. Notation for stellar rates: p 12

C(p, ) 13 N. Nuclear reactions generate energy create new isotopes and elements. Notation for stellar rates: p 12 Iroducio o sellar reacio raes Nuclear reacios geerae eergy creae ew isoopes ad elemes Noaio for sellar raes: p C 3 N C(p,) 3 N The heavier arge ucleus (Lab: arge) he ligher icomig projecile (Lab: beam)

More information

Exercise 3 Stochastic Models of Manufacturing Systems 4T400, 6 May

Exercise 3 Stochastic Models of Manufacturing Systems 4T400, 6 May Exercise 3 Sochasic Models of Maufacurig Sysems 4T4, 6 May. Each week a very popular loery i Adorra pris 4 ickes. Each ickes has wo 4-digi umbers o i, oe visible ad he oher covered. The umbers are radomly

More information

Introduction to Mobile Robotics Mapping with Known Poses

Introduction to Mobile Robotics Mapping with Known Poses Iroducio o Mobile Roboics Mappig wih Kow Poses Wolfra Burgard Cyrill Sachiss Mare Beewi Kai Arras Why Mappig? Learig aps is oe of he fudaeal probles i obile roboics Maps allow robos o efficiely carry ou

More information

CALCULUS BASIC SUMMER REVIEW

CALCULUS BASIC SUMMER REVIEW CALCULUS BASIC SUMMER REVIEW NAME rise y y y Slope of a o vertical lie: m ru Poit Slope Equatio: y y m( ) The slope is m ad a poit o your lie is, ). ( y Slope-Itercept Equatio: y m b slope= m y-itercept=

More information

Lecture 15 First Properties of the Brownian Motion

Lecture 15 First Properties of the Brownian Motion Lecure 15: Firs Properies 1 of 8 Course: Theory of Probabiliy II Term: Sprig 2015 Isrucor: Gorda Zikovic Lecure 15 Firs Properies of he Browia Moio This lecure deals wih some of he more immediae properies

More information

Paper 3A3 The Equations of Fluid Flow and Their Numerical Solution Handout 1

Paper 3A3 The Equations of Fluid Flow and Their Numerical Solution Handout 1 Paper 3A3 The Equaios of Fluid Flow ad Their Numerical Soluio Hadou Iroducio A grea ma fluid flow problems are ow solved b use of Compuaioal Fluid Damics (CFD) packages. Oe of he major obsacles o he good

More information

Dynamic h-index: the Hirsch index in function of time

Dynamic h-index: the Hirsch index in function of time Dyamic h-idex: he Hirsch idex i fucio of ime by L. Egghe Uiversiei Hassel (UHassel), Campus Diepebeek, Agoralaa, B-3590 Diepebeek, Belgium ad Uiversiei Awerpe (UA), Campus Drie Eike, Uiversieisplei, B-260

More information

David Randall. ( )e ikx. k = u x,t. u( x,t)e ikx dx L. x L /2. Recall that the proof of (1) and (2) involves use of the orthogonality condition.

David Randall. ( )e ikx. k = u x,t. u( x,t)e ikx dx L. x L /2. Recall that the proof of (1) and (2) involves use of the orthogonality condition. ! Revised April 21, 2010 1:27 P! 1 Fourier Series David Radall Assume ha u( x,) is real ad iegrable If he domai is periodic, wih period L, we ca express u( x,) exacly by a Fourier series expasio: ( ) =

More information

Chapter 3 Moments of a Distribution

Chapter 3 Moments of a Distribution Chaper 3 Moes of a Disribuio Epecaio We develop he epecaio operaor i ers of he Lebesgue iegral. Recall ha he Lebesgue easure λ(a) for soe se A gives he legh/area/volue of he se A. If A = (3; 7), he λ(a)

More information

An interesting result about subset sums. Nitu Kitchloo. Lior Pachter. November 27, Abstract

An interesting result about subset sums. Nitu Kitchloo. Lior Pachter. November 27, Abstract A ieresig resul abou subse sums Niu Kichloo Lior Pacher November 27, 1993 Absrac We cosider he problem of deermiig he umber of subses B f1; 2; : : :; g such ha P b2b b k mod, where k is a residue class

More information

F.Y. Diploma : Sem. II [AE/CH/FG/ME/PT/PG] Applied Mathematics

F.Y. Diploma : Sem. II [AE/CH/FG/ME/PT/PG] Applied Mathematics F.Y. Diploma : Sem. II [AE/CH/FG/ME/PT/PG] Applied Mahemaics Prelim Quesio Paper Soluio Q. Aemp ay FIVE of he followig : [0] Q.(a) Defie Eve ad odd fucios. [] As.: A fucio f() is said o be eve fucio if

More information

12 Getting Started With Fourier Analysis

12 Getting Started With Fourier Analysis Commuicaios Egieerig MSc - Prelimiary Readig Geig Sared Wih Fourier Aalysis Fourier aalysis is cocered wih he represeaio of sigals i erms of he sums of sie, cosie or complex oscillaio waveforms. We ll

More information

Online Supplement to Reactive Tabu Search in a Team-Learning Problem

Online Supplement to Reactive Tabu Search in a Team-Learning Problem Olie Suppleme o Reacive abu Search i a eam-learig Problem Yueli She School of Ieraioal Busiess Admiisraio, Shaghai Uiversiy of Fiace ad Ecoomics, Shaghai 00433, People s Republic of Chia, she.yueli@mail.shufe.edu.c

More information

Pure Math 30: Explained!

Pure Math 30: Explained! ure Mah : Explaied! www.puremah.com 6 Logarihms Lesso ar Basic Expoeial Applicaios Expoeial Growh & Decay: Siuaios followig his ype of chage ca be modeled usig he formula: (b) A = Fuure Amou A o = iial

More information

AP Calculus BC Chapter 10 Part 1 AP Exam Problems

AP Calculus BC Chapter 10 Part 1 AP Exam Problems AP Calculus BC Chaper Par AP Eam Problems All problems are NO CALCULATOR unless oherwise indicaed Parameric Curves and Derivaives In he y plane, he graph of he parameric equaions = 5 + and y= for, is a

More information

CLOSED FORM EVALUATION OF RESTRICTED SUMS CONTAINING SQUARES OF FIBONOMIAL COEFFICIENTS

CLOSED FORM EVALUATION OF RESTRICTED SUMS CONTAINING SQUARES OF FIBONOMIAL COEFFICIENTS PB Sci Bull, Series A, Vol 78, Iss 4, 2016 ISSN 1223-7027 CLOSED FORM EVALATION OF RESTRICTED SMS CONTAINING SQARES OF FIBONOMIAL COEFFICIENTS Emrah Kılıc 1, Helmu Prodiger 2 We give a sysemaic approach

More information

On Acoustic Radiation by Rotating Dipole Sources in Frequency Domain

On Acoustic Radiation by Rotating Dipole Sources in Frequency Domain www.ccsee.org/as Moder Applied Sciece Vol. 5, No. 5; Ocober 211 O Acousic Radiaio by Roaig Dipole Sources i Frequecy Doai Zhihog Liu Ceer of Eergy ad Eviroe, QigDao Techological Uiversiy 11 FuShu Road,

More information

A note on Generalized Hermite polynomials

A note on Generalized Hermite polynomials INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND INFORMATICS Volue 8 14 A oe o Geeralized Herie poloials Cleee Cesarao Absrac B sarig fro he geeral heor of he oevariable Herie poloials we will iroduce

More information

Fourier transform. Continuous-time Fourier transform (CTFT) ω ω

Fourier transform. Continuous-time Fourier transform (CTFT) ω ω Fourier rasform Coiuous-ime Fourier rasform (CTFT P. Deoe ( he Fourier rasform of he sigal x(. Deermie he followig values, wihou compuig (. a (0 b ( d c ( si d ( d d e iverse Fourier rasform for Re { (

More information

ODEs II, Supplement to Lectures 6 & 7: The Jordan Normal Form: Solving Autonomous, Homogeneous Linear Systems. April 2, 2003

ODEs II, Supplement to Lectures 6 & 7: The Jordan Normal Form: Solving Autonomous, Homogeneous Linear Systems. April 2, 2003 ODEs II, Suppleme o Lecures 6 & 7: The Jorda Normal Form: Solvig Auoomous, Homogeeous Liear Sysems April 2, 23 I his oe, we describe he Jorda ormal form of a marix ad use i o solve a geeral homogeeous

More information

CSE 241 Algorithms and Data Structures 10/14/2015. Skip Lists

CSE 241 Algorithms and Data Structures 10/14/2015. Skip Lists CSE 41 Algorihms ad Daa Srucures 10/14/015 Skip Liss This hadou gives he skip lis mehods ha we discussed i class. A skip lis is a ordered, doublyliked lis wih some exra poiers ha allow us o jump over muliple

More information

A.1 Algebra Review: Polynomials/Rationals. Definitions:

A.1 Algebra Review: Polynomials/Rationals. Definitions: MATH 040 Notes: Uit 0 Page 1 A.1 Algera Review: Polyomials/Ratioals Defiitios: A polyomial is a sum of polyomial terms. Polyomial terms are epressios formed y products of costats ad variales with whole

More information

ECE 350 Matlab-Based Project #3

ECE 350 Matlab-Based Project #3 ECE 350 Malab-Based Projec #3 Due Dae: Nov. 26, 2008 Read he aached Malab uorial ad read he help files abou fucio i, subs, sem, bar, sum, aa2. he wrie a sigle Malab M file o complee he followig ask for

More information

SUMMATION OF INFINITE SERIES REVISITED

SUMMATION OF INFINITE SERIES REVISITED SUMMATION OF INFINITE SERIES REVISITED I several aricles over he las decade o his web page we have show how o sum cerai iiie series icludig he geomeric series. We wa here o eed his discussio o he geeral

More information

Optimization of Rotating Machines Vibrations Limits by the Spring - Mass System Analysis

Optimization of Rotating Machines Vibrations Limits by the Spring - Mass System Analysis Joural of aerials Sciece ad Egieerig B 5 (7-8 (5 - doi: 765/6-6/57-8 D DAVID PUBLISHING Opimizaio of Roaig achies Vibraios Limis by he Sprig - ass Sysem Aalysis BENDJAIA Belacem sila, Algéria Absrac: The

More information

Stability. Outline Stability Sab Stability of Digital Systems. Stability for Continuous-time Systems. system is its stability:

Stability. Outline Stability Sab Stability of Digital Systems. Stability for Continuous-time Systems. system is its stability: Oulie Sabiliy Sab Sabiliy of Digial Syem Ieral Sabiliy Exeral Sabiliy Example Roo Locu v ime Repoe Fir Orer Seco Orer Sabiliy e Jury e Rouh Crierio Example Sabiliy A very impora propery of a yamic yem

More information

6.003 Homework #5 Solutions

6.003 Homework #5 Solutions 6. Homework #5 Soluios Problems. DT covoluio Le y represe he DT sigal ha resuls whe f is covolved wih g, i.e., y[] = (f g)[] which is someimes wrie as y[] = f[] g[]. Deermie closed-form expressios for

More information

Lecture 25 Outline: LTI Systems: Causality, Stability, Feedback

Lecture 25 Outline: LTI Systems: Causality, Stability, Feedback Lecure 5 Oulie: LTI Sye: Caualiy, Sabiliy, Feebac oucee: Reaig: 6: Lalace Trafor. 37-49.5, 53-63.5, 73; 7: 7: Feebac. -4.5, 8-7. W 8 oe, ue oay. Free -ay eeio W 9 will be oe oay, ue e Friay (o lae W) Fial

More information

STK4080/9080 Survival and event history analysis

STK4080/9080 Survival and event history analysis STK48/98 Survival ad eve hisory aalysis Marigales i discree ime Cosider a sochasic process The process M is a marigale if Lecure 3: Marigales ad oher sochasic processes i discree ime (recap) where (formally

More information

ECE 340 Lecture 15 and 16: Diffusion of Carriers Class Outline:

ECE 340 Lecture 15 and 16: Diffusion of Carriers Class Outline: ECE 340 Lecure 5 ad 6: iffusio of Carriers Class Oulie: iffusio rocesses iffusio ad rif of Carriers Thigs you should kow whe you leave Key Quesios Why do carriers diffuse? Wha haes whe we add a elecric

More information

12 th Mathematics Objective Test Solutions

12 th Mathematics Objective Test Solutions Maemaics Objecive Tes Soluios Differeiaio & H.O.D A oes idividual is saisfied wi imself as muc as oer are saisfied wi im. Name: Roll. No. Bac [Moda/Tuesda] Maimum Time: 90 Miues [Eac rig aswer carries

More information

ANALYSIS OF THE CHAOS DYNAMICS IN (X n,x n+1) PLANE

ANALYSIS OF THE CHAOS DYNAMICS IN (X n,x n+1) PLANE ANALYSIS OF THE CHAOS DYNAMICS IN (X,X ) PLANE Soegiao Soelisioo, The Houw Liog Badug Isiue of Techolog (ITB) Idoesia soegiao@sude.fi.ib.ac.id Absrac I he las decade, sudies of chaoic ssem are more ofe

More information

CS 450: COMPUTER GRAPHICS INTRODUCTION TO MATRICES SPRING 2016 DR. MICHAEL J. REALE

CS 450: COMPUTER GRAPHICS INTRODUCTION TO MATRICES SPRING 2016 DR. MICHAEL J. REALE CS 45: COPUTER GRAPHICS INTRODUCTION TO ATRICES SPRING 26 DR. ICHAEL J. REALE hp://www.papeleparee.e c.br/wallpapers/coigoari_2283_2824.jpg ENTER THE ATRIX ari = (p X q) 2D arra of ubers (scalars) p =

More information

King Fahd University of Petroleum & Minerals Computer Engineering g Dept

King Fahd University of Petroleum & Minerals Computer Engineering g Dept Kig Fahd Uiversiy of Peroleum & Mierals Compuer Egieerig g Dep COE 4 Daa ad Compuer Commuicaios erm Dr. shraf S. Hasa Mahmoud Rm -4 Ex. 74 Email: ashraf@kfupm.edu.sa 9/8/ Dr. shraf S. Hasa Mahmoud Lecure

More information

Department of Mathematical and Statistical Sciences University of Alberta

Department of Mathematical and Statistical Sciences University of Alberta MATH 4 (R) Wier 008 Iermediae Calculus I Soluios o Problem Se # Due: Friday Jauary 8, 008 Deparme of Mahemaical ad Saisical Scieces Uiversiy of Albera Quesio. [Sec.., #] Fid a formula for he geeral erm

More information

ME 501A Seminar in Engineering Analysis Page 1

ME 501A Seminar in Engineering Analysis Page 1 Seod ad igher Order Liear Differeial Equaios Oober 9, 7 Seod ad igher Order Liear Differeial Equaios Larr areo Mehaial Egieerig 5 Seiar i Egieerig alsis Oober 9, 7 Oulie Reiew las lass ad hoewor ppl aerial

More information

Series Expansion with Wavelets. Advanced Signal Processing Reinisch Bernhard Teichtmeister Georg

Series Expansion with Wavelets. Advanced Signal Processing Reinisch Bernhard Teichtmeister Georg Series Expasio wih Waveles Advaced Sigal Processig - 7 Reiisch Berhard Teicheiser Georg Iroducio Series expasio Fourier Series: Eiher periodic or badliied sigals Tiedoai: No frequecy iforaio Fourierdoai:

More information

State-Space Model. In general, the dynamic equations of a lumped-parameter continuous system may be represented by

State-Space Model. In general, the dynamic equations of a lumped-parameter continuous system may be represented by Sae-Space Model I geeral, he dyaic equaio of a luped-paraeer coiuou ye ay be repreeed by x & f x, u, y g x, u, ae equaio oupu equaio where f ad g are oliear vecor-valued fucio Uig a liearized echique,

More information

METHOD OF THE EQUIVALENT BOUNDARY CONDITIONS IN THE UNSTEADY PROBLEM FOR ELASTIC DIFFUSION LAYER

METHOD OF THE EQUIVALENT BOUNDARY CONDITIONS IN THE UNSTEADY PROBLEM FOR ELASTIC DIFFUSION LAYER Maerials Physics ad Mechaics 3 (5) 36-4 Received: March 7 5 METHOD OF THE EQUIVAENT BOUNDARY CONDITIONS IN THE UNSTEADY PROBEM FOR EASTIC DIFFUSION AYER A.V. Zemsov * D.V. Tarlaovsiy Moscow Aviaio Isiue

More information

Solutions to Problems 3, Level 4

Solutions to Problems 3, Level 4 Soluios o Problems 3, Level 4 23 Improve he resul of Quesio 3 whe l. i Use log log o prove ha for real >, log ( {}log + 2 d log+ P ( + P ( d 2. Here P ( is defied i Quesio, ad parial iegraio has bee used.

More information

Clock Skew and Signal Representation

Clock Skew and Signal Representation Clock Skew ad Sigal Represeaio Ch. 7 IBM Power 4 Chip 0/7/004 08 frequecy domai Program Iroducio ad moivaio Sequeial circuis, clock imig, Basic ools for frequecy domai aalysis Fourier series sigal represeaio

More information

CONVERSIONS BETWEEN PARAMETRIC and IMPLICIT FORMS for COMPUTER GRAPHICS and VISION

CONVERSIONS BETWEEN PARAMETRIC and IMPLICIT FORMS for COMPUTER GRAPHICS and VISION Proceedis of ISCIS 999, Kuşadası, Turke, pp. 96-9 CONVERSIONS BETWEEN PARAMETRIC ad IMPLICIT FORMS for COMPUTER GRAPHICS ad VISION * Cem ÜNSALAN ** Aül ERÇĐL *Boğaziçi Uiversi, Dep. of Elecrical & Elecroics

More information

Processamento Digital de Sinal

Processamento Digital de Sinal Deparaeo de Elecróica e Telecouicações da Uiversidade de Aveiro Processaeo Digial de ial Processos Esocásicos uar ado Processes aioar ad ergodic Correlaio auo ad cross Fucio Covariace Fucio Esiaes of he

More information

Economics 8723 Macroeconomic Theory Problem Set 3 Sketch of Solutions Professor Sanjay Chugh Spring 2017

Economics 8723 Macroeconomic Theory Problem Set 3 Sketch of Solutions Professor Sanjay Chugh Spring 2017 Deparme of Ecoomic The Ohio Sae Uiveriy Ecoomic 8723 Macroecoomic Theory Problem Se 3 Skech of Soluio Profeor Sajay Chugh Sprig 27 Taylor Saggered Nomial Price-Seig Model There are wo group of moopoliically-compeiive

More information

The Importance of Ordering the Number of Lattice Points Inside a Rational Polyhedron Using Generating Functions

The Importance of Ordering the Number of Lattice Points Inside a Rational Polyhedron Using Generating Functions Ieraioal Joural of Copuer Sciece ad Elecroics Egieerig (IJCSEE Volue Issue ( ISSN 48 (Olie he Iporace of Orderig he Nuber of Laice ois Iside a Raioal olyhedro Usig Geeraig Fucios Halil Sopce Absrac I pure

More information

BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS

BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS Opimal ear Forecasig Alhough we have o meioed hem explicily so far i he course, here are geeral saisical priciples for derivig he bes liear forecas, ad

More information

INVESTMENT PROJECT EFFICIENCY EVALUATION

INVESTMENT PROJECT EFFICIENCY EVALUATION 368 Miljeko Crjac Domiika Crjac INVESTMENT PROJECT EFFICIENCY EVALUATION Miljeko Crjac Professor Faculy of Ecoomics Drsc Domiika Crjac Faculy of Elecrical Egieerig Osijek Summary Fiacial efficiecy of ivesme

More information

Fresnel Dragging Explained

Fresnel Dragging Explained Fresel Draggig Explaied 07/05/008 Decla Traill Decla@espace.e.au The Fresel Draggig Coefficie required o explai he resul of he Fizeau experime ca be easily explaied by usig he priciples of Eergy Field

More information

Actuarial Society of India

Actuarial Society of India Acuarial Sociey of Idia EXAMINAIONS Jue 5 C4 (3) Models oal Marks - 5 Idicaive Soluio Q. (i) a) Le U deoe he process described by 3 ad V deoe he process described by 4. he 5 e 5 PU [ ] PV [ ] ( e ).538!

More information

COS 522: Complexity Theory : Boaz Barak Handout 10: Parallel Repetition Lemma

COS 522: Complexity Theory : Boaz Barak Handout 10: Parallel Repetition Lemma COS 522: Complexiy Theory : Boaz Barak Hadou 0: Parallel Repeiio Lemma Readig: () A Parallel Repeiio Theorem / Ra Raz (available o his websie) (2) Parallel Repeiio: Simplificaios ad he No-Sigallig Case

More information

Topics covered in tutorial 01: 1. Review of definite integrals 2. Physical Application 3. Area between curves. 1. Review of definite integrals

Topics covered in tutorial 01: 1. Review of definite integrals 2. Physical Application 3. Area between curves. 1. Review of definite integrals MATH4 Calculus II (8 Spring) MATH 4 Tuorial Noes Tuorial Noes (Phyllis LIANG) IA: Phyllis LIANG Email: masliang@us.hk Homepage: hps://masliang.people.us.hk Office: Room 3 (Lif/Lif 3) Phone number: 3587453

More information

6/10/2014. Definition. Time series Data. Time series Graph. Components of time series. Time series Seasonal. Time series Trend

6/10/2014. Definition. Time series Data. Time series Graph. Components of time series. Time series Seasonal. Time series Trend 6//4 Defiiio Time series Daa A ime series Measures he same pheomeo a equal iervals of ime Time series Graph Compoes of ime series 5 5 5-5 7 Q 7 Q 7 Q 3 7 Q 4 8 Q 8 Q 8 Q 3 8 Q 4 9 Q 9 Q 9 Q 3 9 Q 4 Q Q

More information