Exact Solutions of Three Nonlinear Heat Transfer Problems

Size: px
Start display at page:

Download "Exact Solutions of Three Nonlinear Heat Transfer Problems"

Transcription

1 Engineering Letters, 9:3, EL_9_3_ Ext Solutions of Three Nonliner Het Trnsfer Prolems Mohmmd Dnish, Shshi Kumr nd Surendr Kumr Astrt In this work, three nonliner het trnsfer prolems nmely, stedy stte het ondution in rod, unstedy ooling of lumped system nd stedy stte het trnsfer from retngulr fin into the free spe y the rdition mehnism, hve een solved nlytilly. Erlier these three prolems were solved y vrious reserhers y using homotopy perturtion, homotopy nlysis nd optiml homotopy nlysis methods nd the pproximte series s were otined. Here, we hve otined ext nlytil s of these three prolems in terms of simple lgeri funtion, Lmert W funtion nd the Guss s hypergeometri funtion, respetively. These ext s gree very well with those otined y the numeril shemes nd re etter thn the reent pproximte s. Moreover, these n lso serve s the yrdstiks for future testing of the pproximte s. Index Terms Het trnsfer, Condution, Convetion, Rdition T I. INTRODUCTION HIS reserh work minly stresses on finding the ext nlytil of three nonliner het trnsfer prolems whih hve nonliner temperture dependent terms. The first prolem represents the stedy stte het ondution proess in metlli rod nd is desried y nonliner BVP (oundry vlue prolem) in seond order ODE (ordinry differentil eqution). Reently, Rji et l. [] hve solved this prolem y using well known pproximte method i.e. HPM (homotopy perturtion method), wheres Sjid nd Hyt [] nd Domirry nd Ndim [3] hve solved the sme prolem y using HPM nd nother very populr pproximte sheme i.e. HAM (homotopy nlysis method). These workers hve otined the results in the form of finite. The seond prolem, onsidered y Gnji [4] using HPM, y Asndy [] using HAM nd y Mrin nd Herișnu [6] using OHAM (optiml HAM), depits the unstedy het onvetion from lumped system. Mnusript reeived August,. Mohmmd Dnish is Assistnt Professor in the Deprtment of Chemil Engineering, Aligrh Muslim University, Aligrh-, Uttrprdesh, Indi nd t present is on study leve t the Deprtment of Chemil Engineering, Indin Institute of Tehnology Roorkee, Roorkee , Uttrkhnd, Indi ( e-mil: mdnish77@rediffmil.om). Shshi Kumr, Assoite Professor, Deprtment of Chemil Engineering, Indin Institute of Tehnology Roorkee, Roorkee , Uttrkhnd, Indi (e-mil: sshifh@iitr.ernet.in). Surendr Kumr, Professor, Deprtment of Chemil Engineering, Indin Institute of Tehnology Roorkee, Roorkee , Uttrkhnd, Indi, Tel: , Fx: (e-mil: skumr@iitr.ernet.in) The relted governing eqution of this prolem is expressed y nonliner initil vlue prolem (IVP) in first order ODE. The s were found in series form. The third prolem desries the stedy stte rditive het trnsfer from retngulr fin into the free spe nd the model eqution is give y nonliner BVP in seond order ODE. This prolem hs lso een reently onsidered y Gnji [4], Asndy [] nd Mrin nd Herișnu [6] y using HPM, HAM nd OHAM, respetively, nd the were found in terms of the trunted series. One should note tht the series s hve hngele degree of ury nd rdius of onvergene, nd re strongly dependent on the numer of terms in the series s well s on the prmeters vlues. Beuse of this, there remins region outside whih the series s strt deviting nd their regulr use eomes limited. Nonetheless, in suh ses efforts re mde either to otin the ext nlytil s or to solve the prolem with the help of some suitle numeril tehnique. Fortuntely, we hve shown tht ll the ove three mentioned prolems re extly solvle in terms of lgeri funtion, Lmert W funtion [7] nd hypergeometri funtion, respetively. These s hve een otined y using simple mthemtil mnipultions e.g. ssuming n impliit form of the or y reduing the eqution into simpler form y dding nd sutrting ertin terms, s elorted in the following setions. Thus found nlytil s re firly helpful sine: (i) Better insight of the tul physil proess is esily gined. (ii) These n strightforwrdly e utilized in finding the preise temperture profiles nd temperture grdients for whole rnge of prmeters' vlues disprte to their pproximte series ounterprts whih hve onvergene relted issues for the entire rnge of prmeters' vlues espeilly for the extreme vlues of prmeters. (iii) One n lso e deploy them to vlidte the ury of other pproximte s. Physil desription of the mentioned proesses, derivtion of respetive model equtions nd the methods to find the ext s re disussed elow. II. PROBLEM : HEAT CONDUCTION IN A METALLIC ROD This prolem minly portrys the stedy ondutive het trnsfer in metlli rod nd prtilly rises in estimting the therml ondutivity of metls e.g. het flow meters [8, 9]. In this prolem, the two ends of the rod re kept t different ut fixed tempertures nd het trnsfer (Advne online pulition: 4 August )

2 Engineering Letters, 9:3, EL_9_3_ tkes ple from higher temperture to the lower y the mehnism of ondution. In this ondution prolem, we ssume tht the therml ondutivity vries linerly with temperture nd there is no het loss to the surrounding from the round surfe of the rod. We onsider rod of length, L nd uniform ross setionl re, A with its end mintined t two different tempertures i.e. T ( x ) T nd T ( x L) T. For these stted ssumptions, the stedy stte energy lne over the rod gives in the following dimensionl eqution nd the ssoited BCs (oundry onditions): d dt A k( T ) () dx dx BCI: T T t x () BCII: T T t x L () T T Where k( T ) k is the temperture T T dependent therml ondutivity of the rod. With the introdution of the following dimensionless vriles, the governing eqution nd the ssoited BCs i.e. ()-(), trnsform into the following equtions i.e. ()-(): x T T, L T T '' ' () BCI: () () BCII: () () Where ' & '' represents the first nd seond order derivtives of with respet to, respetively. Following two different pprohes n e dopted to otin the ext of the ove eqution, s demonstrted elow: A. Approh I A reful inspetion of () shows tht it n onveniently e expressed in the following form: ' ' (3) Integrting the ove eqution two times with respet to, one otins the following qudrti eqution in : C C (4) Where C nd C re the onstnts of integrtion nd hve een found from the ssoited BCs i.e. () & (). Sustituting these vlues in (4) nd solving for, one finds the following two expliit s; two s pper euse of the nonliner nture of the eqution. () () Sine, seond does not stisfy the BCs nd is unrelisti it is, therefore, rejeted. If one expnds () round using Tylor series the following pproximte series is otined If one ompres it with the pproximte HPM [(47)] of Rji et l. [] nd pproximte HAM of Domirry nd Ndim [3] for the onvergene ontrol prmeter h (used therein), n urte ompline is oserved. However, we ould not ompre the results otined y ext with the results of Sjid nd Hyt [] sine no suh term ws provided. However, in this se the results were judged ginst those of Sjid nd Hyt [] y tulting the vlues of temperture grdients t nd (see Tle ). A lose onformity is oserved etween these vlues. The results otined y the urrent i.e. () hve lso een suessfully verified ginst those otined y (47) of Rji et l. [] nd those otined y numeril methods, s shown in Fig.. In this figure it is lerly visile tht the pproximte temperture profile otined y Rji et. l. [] devites ppreily even for moderte vlues of nd eomes redundnt for lrger vlues of. Although not shown, the sme hrteristis n lso e sried to the HAM of Domirry nd Ndim [3] for the onvergene ontrol prmeter h. On the ontrry, no devition is oserved in the present, even for higher vlues of. One notes from Fig. tht s vries from to, the temperture of the rod tends to reh the higher temperture ( ) nd thus sertin the ft tht with the inrese in therml ondutivity the temperture of the rod lso rises. Dimensionless Temperture, Ɵ(ξ) B. Approh II β =,,, Dimensionless Length, ξ In this pproh we ssume tht the derivtive ' is funtion of only i.e. ' p( ), in other words, the of () exhiits n impliit form i.e. f ( ) β=: Eq. (47), [] β=: Eq. (47), [] β=: Eq. (47), [] β=: Eq. (47), [] Fig. Dimensionless temperture profiles long the length of the rod (prolem ), solid lines: ext ; filled irle: numeril. d p Consequently, '', where p (still unknown) is d funtion of, only. It is useful to mention tht this pproh is quite helpful whenever the independent vrile is sent in the onerned eqution. Repling (Advne online pulition: 4 August )

3 Engineering Letters, 9:3, EL_9_3_ ' & '' in () y the ove respetive definitions, one otins: p d p (6) d Now, sustituting p y nd fter little ltertions the ove eqution redues to the following first order liner ODE: y ' y (7) Solving the ove first order liner ODE y integrting ftor method one finds: C y (8) Or p d d C Where C is onstnt of integrtion. Integrting the ove (9) one more, one finds the expression for [note tht the eqution elow is similr, in form, to the (4)]: C C (9) () C is nother onstnt of integrtion nd C nd C re evluted from the ssoited BCs, like in the first pproh. Sustituting the vlues of these onstnts in () nd solving for, one rrives t the following two s whih re extly sme s those given in () & (). () () Seond does not stisfy the BCs so disrded. Rest of the disussion remins sme s presented in Approh I. TABLE I COMPARISON OF DIMENSIONLESS TEMPERATURE GRADIENT AT BOTH THE ENDS OF THE ROD (PROBLEM ) S. No. β Numeril θ'() Sjid & Hyt [] Ext () Numeril θ'() III. PROBLEM : COOLING OF A LUMPED SYSTEM This prolem represents the temporry ooling of lumped system the speifi het of whih vries linerly with temperture. In rel world, this prolem rises in the ooling of heted stirred vessels nd ooling of eletroni omponents with high therml ondutivity et [8]. HPM, HAM nd OHAM s of this prolem hve een found y Gnji [4], Asndy [] nd Mrin nd Herișnu [6], respetively nd the s were otined Ext () / - 7/ 7/ 7/ in the form of series. The prolem is stted s: t the outset of the experiment, system with density, volume V nd het trnsfer re A, is exposed to surrounding t different temperture ( T ) nd het is trnsferred from the system to the surrounding y onvetion. The leding model eqution is derived y pplying the unstedy energy lne over the system nd is desried y the following nonliner IVP (initil vlue prolem) in first order ODE: dt V( T) ha( T T ) () dt IC: T () T () T T Where ( T ) is the het pity of T T the system showing liner dependeny on temperture nd h is the onstnt het trnsfer oeffiient. With the ssistne of the following dimensionless quntities, () & () ttin the dimensionless form given y (3) & (3), respetively. hat T T, V T T ' (3) IC: () (3) A simple rerrngement of the ove (3) yields: ' ' (4) Integrting (4) with respet to results in: Log[ ] C () Where C is the onstnt of integrtion nd using IC, it is found to e C. Sustituting k the so found vlue of C in (), provides the following ext nlytil. Log[ ] (6) Due to the ove impliit form of, it hs to e found for eh nd every y solving (6) with the help of some suitle itertive numeril sheme. This feture limits the repeted use of the ove formul. Keeping this in view, we now develop, from (6), the expliit form. A onstnt term Log[ ] is dded nd sutrted in (6) nd fter performing little modifition, (7) is otined. Log e Log (7) Eqution (7) n e further expressed s: e e (8) The L.H.S. of (8) n e repled y the Lmert W funtion (implemented s ProdutLog funtion in some mthemtil softwres e.g. Mthemti). A Lmert W y funtion is silly the inverse funtion of x ye i.e. y= Lmert(x) nd is symolized y y W ( x). In generl, the domin nd rnge of the funtion is the set of omplex vlues however, for x [, ) Lmert W funtion yields single rel vlues. For x (, ), Lmert W funtion e does not evlute to ny rel vlue wheres, for x [,) it omputes two rel vlues. Now, with this e (Advne online pulition: 4 August )

4 Engineering Letters, 9:3, EL_9_3_ funtion ville, the trnsient dimensionless temperture profile is given y: ProdutLog e (9) Expnding round y using Tylor series, yields the following expnsion whih hrmonizes with the (8) of Gnji [4] nd (9) of Asndy [] for h. e e e e 4e 3 e 3... Fig. ompres tht the trnsient temperture profiles otined y the present (9), HPM otined y Gnji [4] nd those otined y numeril sheme. It is ler tht the present mth very well with the numeril wheres, the s otined y Gnji [4] show onsiderle disrepnies exept for where the (3) eomes liner. Fig. lso supports the ft tht with the inrese in, the speifi het inreses whih in turn uses the derese in temperture grdient. Extending the omprison, the initil rtes of temperture hnge, given y the following (), hve lso een found using (9) nd plotted in Fig. 3 long with those otined y Asndy []. '() () Aury is evident y the overlpping profiles. Similr omprisons with the OHAM of Mrin nd Herișnu [6] hve een voided due to their more involved expression. However, it n e shown tht our present, eing ext in form, is superior to the pproximte of Mrin nd Herișnu [6]. Dimensionless Temperture, Ɵ(t) Ɵ'() β = -.,,.,.3. β = -.: Eq. (8), [4] β = : Eq. (8), [4]. β =.: Eq. (8), [4]. β = : Eq. (8), [4] Dimensionless Time, t Fig.. Trnsient profile of the dimensionless temperture (prolem ), solid lines: ext ; filled irle: numeril β Fig. 4, [] Fig. 3. Initil rte of hnge of dimensionless temperture vs. (prolem ) solid lines: ext ; filled irle: numeril IV. PROBLEM 3: STEADY STATE RADIATIVE HEAT TRANSFER FROM A RECTANGULAR FIN This prolem represents the stedy stte het trnsfer from retngulr fin to the free spe y the rdition mehnism. Suh situtions pper in the ooling of the heted prts of the spe vehiles. This prolem, too, hs een tkled y Gnji [4], Asndy [] nd Mrin nd Herișnu [6] with the help of HPM, HAM nd OHAM, respetively nd the s were otined in the form of series. We onsider retngulr fin hving ross setionl re A, perimeter P, length L nd the onstnt therml ondutivity nd emissivity s k nd, respetively. The fin se is mintined t higher temperture T nd the fin is trnsmitting the het energy into the spe y the mode of rdition. It is ssumed tht the stedy stte is previling nd the negligile het trnsfer tkes ple from fin end []. Keeping these ssumptions in view, the governing model eqution is derived y pplying the stedy energy lne over the fin element nd is desried y the following nonliner BVP in seond order ODE: d dt 4 4 A k P ( T Ts ) () dx dx BCI: T T t x L (t fin se) () dt BCII: dx t x (t fin end) () It is worthwhile to note tht the spe temperture n very well e repled y the solute zero temperture i.e. T [4-6]. Tking this ft into ount nd defining the s following dimensionless vriles, the ove equtions re onveniently expressed into the dimensionless form given y () - (). 3 T x PT L,, T L ka And the () - () eome d 4 d () BCI: t (t fin se) () d BCII: d t (t fin end) () To solve the ove BVP, the sme pproh hs een followed s dopted previously for the of prolem, nd here lso, it is ssumed tht the derivtive d d is d funtion of only i.e. p( ) where p is yet to e d d p found. This ssumption leds to '' d '' in () y this reltion, one otins: d p. Repling 4 (3) d Now, repling p with y, the (3) ttins the following first order liner ODE: dy 4 d (4) (Advne online pulition: 4 August )

5 Engineering Letters, 9:3, EL_9_3_ Integrting the ove eqution, one finds y C () C is onstnt of integrtion nd n e evluted with the help of BCII i.e. () nd is found to e C ; where is the unknown dimensionless temperture t the fin se. Sustituting this vlue of C in (), one gets d y (6) d A minor rerrngement of the ove eqution yields d d (7) Integrting the ove eqution etween the limits presried y the BCs I & II, following definite integrl is found. d d (8) The integrtion of the ove eqution gives the following result. 6 HG F,,, i 6 3/ 7 (9) The unknown is omputed y solving the following nonliner eqution whih hs een otined y foring (9) to stisfy the unutilized BCI i.e. t. 6 HG F,,, 6 i (3) 3/ 7 Where [ z] nd HG [,,, ] F z re the well known Gmm nd the Guss' Hypergeometri funtions, respetively nd re defined s follows []: z t z t e dt [ ] [ ] HG F z t t tz dt [,,, ] ( ) ( ) [ ] [ ] Gnji [4], Asndy [] nd Mrin nd Herișnu [6] hve solved this prolem y using HPM, HAM nd OHAM, respetively nd s re otined in terms of the series. For omprison purposes, the two terms HPM nd HAM s of Gnji [4] nd Asndy [] re reprodued elow, however, euse of omplexity in the expression of Mrin nd Herișnu [6], it hs not een onsidered here. 4 x x 6x Gnji 6 x x Asndy h h( h) (3) 4 x 6x h (3) 6 Figs. 4 &, plot the dimensionless temperture profiles otined y the ove pproximte series s, the urte numeril sheme s well s those otined y the presently otined ext i.e. (9) & (3). It n e noted tht in Fig. the sme vlue of the prmeter hve een tken s those onsidered in [4] nd [] i.e..7. It n e seen in Fig. 4 tht the profile otined y Gnji [4] devites to some extent with the numeril wheres the profile otined y the ext nlytil depits n exellent mthing with its numeril ounterprt. Dimensionless Temperture, Ɵ(ξ) Dimensionless Temperture, Ɵ(ξ) ε =.7: Eq. (4), [4] ε =.: Eq. (4), [4] Dimensionless Length, ξ Fig. 4. Dimensionless temperture profiles long the length of the fin (prolem 3), solid lines: ext ; filled irle: numeril ε =.7: seond order HAM, [] ε =.7: fifth order HAM, [] Dimensionless Length, ξ Fig.. Dimensionless temperture profiles long the length of the fin (prolem 3), solid lines: ext ; filled irle: numeril Similrly, in Fig., the two terms HPM of Gnji [4] yields divergent results wheres, the two term HAM of Asndy [] show minor devitions with the numerilly otined urte profile. However, the five term HAM otined y Asndy [] mthes well with the numeril. In ontrst to this, the ext nlytil i.e. (9) & (3) re in omplete greement with the numeril. It n e verified tht the devitions in the series s of Gnji [4] nd Asndy [], will inrese with the inrese in the vlue (Advne online pulition: 4 August )

6 Engineering Letters, 9:3, EL_9_3_ of, however, this is not true for the urrently derived ext. The true profiles signify the shrp derese in temperture with the inrese in the prmeter. This oservtion is in ompline with the physis of the prolem. V. CONCLUSION In this work, the three nonliner het trnsfer prolems of prtil interests hve een solved in n ext mnner nd the s re found in terms of elementry lgeri nd trnsendentl funtions. These prolems represent stedy stte het ondution in solid rod, the unstedy ooling of lumped prmeter system nd the stedy stte rditive het trnsfer from retngulr fin to the spe, respetively. The orresponding ext s hve een otined in terms of simple lgeri funtion, Lmert W funtion nd Guss s hypergeometri funtion, respetively. These nlytil s mth well with their numeril ounterprts nd re found to e finer thn the erlier otined pproximte s. From these ext s one n get etter piture of the physil proess unlike their pproximte lterntives; moreover, these n e pretty useful in judging the ury of other pproximte s nd re vlid for ll prmeter rnges. ACKNOWLEDGMENT M. Dnish is thnkful to his prent institution A.M.U., Aligrh-, U.P., Indi for kindly grnting study leve to pursue reserh t I.I.T. Roorkee, Roorkee-47667, Uttrkhnd, Indi. [W/m.K 4 ] Stephn-Boltzmnn onstnt (= ) [-] dimensionless time [-] dimensionless distne REFERENCES [] A. A. Rji, D. D. Gnji, H. Therin, Applition of homotopy perturtion method in nonliner het ondution nd onvetion equtions, Phys. Lett. A. vol. 36, pp. 7-73, 7. [] M. Sjid, T. Hyt, Comprison of HAM nd HPM methods in nonliner het ondution nd onvetion equtions, Nonliner Anlysis RWA, vol. 9, pp. 96-3, 8. [3] G. Domirry, N. Ndim, Assessment of homotopy nlysis method nd homotopy perturtion method in nonliner het trnsfer eqution, Int. Commun. Het Mss Trnsfer, vol. 3, pp. 93-, 8. [4] D. D. Gnji, The pplition of He's homotopy perturtion method to nonliner equtions rising in het trnsfer, Phys. Lett. A. vol. 3, pp , 6. [] S. Asndy, The pplition of homotopy nlysis method to nonliner equtions rising in het trnsfer, Phys. Lett. A. vol. 36, pp. 9-3, 6. [6] V. Mrin, N. Herișnu, Applition of optiml homotopy symptoti method for solving nonliner equtions rising in het trnsfer, Int. Commun. Het Mss Trnsfer, vol. 3, pp. 7-7, 8. [7] M. Dnish, Sh. Kumr, S. Kumr, Approximte expliit nlytil expressions of frition ftor for flow of Binghm fluids in smooth pipes using Adomin deomposition method, Commun. Nonliner S. Num. Simul., vol. 6, pp. 39-,. [8] A. Bejn, A. D. Kruss, Het trnsfer hndook, first ed., New Jersey: John Wiley & Sons, In., 3. [9] M. Dnish, Sh. Kumr, S. Kumr, Ext nlytil s of three het trnsfer models, Leture notes in Engineering nd Computer Siene: Proeedings of the World Congress on Engineering, WCE, 6-8 July,, London, U.K., pp-. [] A. D. Krus, A. Aziz, J. Welty, Extended Surfe Het Trnsfer, first ed., New York: John Wiley & Wiley,. [] M. Armowitz, I. Stegun, Hndook of Mthemtil Funtions, first ed., New York: Dover, 964. NOMENCLATURE A [m ] het trnsfer re A [m ] ross-setionl re,, [-] onstnts [J/kg.K] speifi het t temperture T ( T ) [J/kg.K] speifi het t temperture T C, C [-] onstnts of integrtion h [J/s.m.K] het trnsfer oeffiient k [J/s.m.K] therml ondutivity t temperture T k( T ) [J/s.m.K] therml ondutivity t temperture T L [m] length of rod p [-] funtion of t [s] time T [K] temperture T s [K] rdition sink temperture u [-] dummy vrile V [m 3 ] volume x [m] distne vrile y [-] funtion of z [-] dummy vrile Greek letters [-] dimensionless prmeter for k( T ) nd ( T ) [-] emissivity [-] ondution rdition prmeter [-] dimensionless temperture [kg/m 3 ] density (Advne online pulition: 4 August )

University of Sioux Falls. MAT204/205 Calculus I/II

University of Sioux Falls. MAT204/205 Calculus I/II University of Sioux Flls MAT204/205 Clulus I/II Conepts ddressed: Clulus Textook: Thoms Clulus, 11 th ed., Weir, Hss, Giordno 1. Use stndrd differentition nd integrtion tehniques. Differentition tehniques

More information

A STUDY OF Q-CONTIGUOUS FUNCTION RELATIONS

A STUDY OF Q-CONTIGUOUS FUNCTION RELATIONS Commun. Koren Mth. So. 31 016, No. 1, pp. 65 94 http://dx.doi.org/10.4134/ckms.016.31.1.065 A STUDY OF Q-CONTIGUOUS FUNCTION RELATIONS Hrsh Vrdhn Hrsh, Yong Sup Kim, Medht Ahmed Rkh, nd Arjun Kumr Rthie

More information

Introduction to Olympiad Inequalities

Introduction to Olympiad Inequalities Introdution to Olympid Inequlities Edutionl Studies Progrm HSSP Msshusetts Institute of Tehnology Snj Simonovikj Spring 207 Contents Wrm up nd Am-Gm inequlity 2. Elementry inequlities......................

More information

Activities. 4.1 Pythagoras' Theorem 4.2 Spirals 4.3 Clinometers 4.4 Radar 4.5 Posting Parcels 4.6 Interlocking Pipes 4.7 Sine Rule Notes and Solutions

Activities. 4.1 Pythagoras' Theorem 4.2 Spirals 4.3 Clinometers 4.4 Radar 4.5 Posting Parcels 4.6 Interlocking Pipes 4.7 Sine Rule Notes and Solutions MEP: Demonstrtion Projet UNIT 4: Trigonometry UNIT 4 Trigonometry tivities tivities 4. Pythgors' Theorem 4.2 Spirls 4.3 linometers 4.4 Rdr 4.5 Posting Prels 4.6 Interloking Pipes 4.7 Sine Rule Notes nd

More information

A Study on the Properties of Rational Triangles

A Study on the Properties of Rational Triangles Interntionl Journl of Mthemtis Reserh. ISSN 0976-5840 Volume 6, Numer (04), pp. 8-9 Interntionl Reserh Pulition House http://www.irphouse.om Study on the Properties of Rtionl Tringles M. Q. lm, M.R. Hssn

More information

PAIR OF LINEAR EQUATIONS IN TWO VARIABLES

PAIR OF LINEAR EQUATIONS IN TWO VARIABLES PAIR OF LINEAR EQUATIONS IN TWO VARIABLES. Two liner equtions in the sme two vriles re lled pir of liner equtions in two vriles. The most generl form of pir of liner equtions is x + y + 0 x + y + 0 where,,,,,,

More information

ANALYSIS AND MODELLING OF RAINFALL EVENTS

ANALYSIS AND MODELLING OF RAINFALL EVENTS Proeedings of the 14 th Interntionl Conferene on Environmentl Siene nd Tehnology Athens, Greee, 3-5 Septemer 215 ANALYSIS AND MODELLING OF RAINFALL EVENTS IOANNIDIS K., KARAGRIGORIOU A. nd LEKKAS D.F.

More information

AP Calculus BC Chapter 8: Integration Techniques, L Hopital s Rule and Improper Integrals

AP Calculus BC Chapter 8: Integration Techniques, L Hopital s Rule and Improper Integrals AP Clulus BC Chpter 8: Integrtion Tehniques, L Hopitl s Rule nd Improper Integrls 8. Bsi Integrtion Rules In this setion we will review vrious integrtion strtegies. Strtegies: I. Seprte the integrnd into

More information

AP CALCULUS Test #6: Unit #6 Basic Integration and Applications

AP CALCULUS Test #6: Unit #6 Basic Integration and Applications AP CALCULUS Test #6: Unit #6 Bsi Integrtion nd Applitions A GRAPHING CALCULATOR IS REQUIRED FOR SOME PROBLEMS OR PARTS OF PROBLEMS IN THIS PART OF THE EXAMINATION. () The ext numeril vlue of the orret

More information

Chapter Gauss Quadrature Rule of Integration

Chapter Gauss Quadrature Rule of Integration Chpter 7. Guss Qudrture Rule o Integrtion Ater reding this hpter, you should e le to:. derive the Guss qudrture method or integrtion nd e le to use it to solve prolems, nd. use Guss qudrture method to

More information

Electromagnetism Notes, NYU Spring 2018

Electromagnetism Notes, NYU Spring 2018 Eletromgnetism Notes, NYU Spring 208 April 2, 208 Ation formultion of EM. Free field desription Let us first onsider the free EM field, i.e. in the bsene of ny hrges or urrents. To tret this s mehnil system

More information

Lesson 2: The Pythagorean Theorem and Similar Triangles. A Brief Review of the Pythagorean Theorem.

Lesson 2: The Pythagorean Theorem and Similar Triangles. A Brief Review of the Pythagorean Theorem. 27 Lesson 2: The Pythgoren Theorem nd Similr Tringles A Brief Review of the Pythgoren Theorem. Rell tht n ngle whih mesures 90º is lled right ngle. If one of the ngles of tringle is right ngle, then we

More information

THE INFLUENCE OF MODEL RESOLUTION ON AN EXPRESSION OF THE ATMOSPHERIC BOUNDARY LAYER IN A SINGLE-COLUMN MODEL

THE INFLUENCE OF MODEL RESOLUTION ON AN EXPRESSION OF THE ATMOSPHERIC BOUNDARY LAYER IN A SINGLE-COLUMN MODEL THE INFLUENCE OF MODEL RESOLUTION ON AN EXPRESSION OF THE ATMOSPHERIC BOUNDARY LAYER IN A SINGLE-COLUMN MODEL P3.1 Kot Iwmur*, Hiroto Kitgw Jpn Meteorologil Ageny 1. INTRODUCTION Jpn Meteorologil Ageny

More information

Lecture 1 - Introduction and Basic Facts about PDEs

Lecture 1 - Introduction and Basic Facts about PDEs * 18.15 - Introdution to PDEs, Fll 004 Prof. Gigliol Stffilni Leture 1 - Introdution nd Bsi Fts bout PDEs The Content of the Course Definition of Prtil Differentil Eqution (PDE) Liner PDEs VVVVVVVVVVVVVVVVVVVV

More information

Linear Algebra Introduction

Linear Algebra Introduction Introdution Wht is Liner Alger out? Liner Alger is rnh of mthemtis whih emerged yers k nd ws one of the pioneer rnhes of mthemtis Though, initilly it strted with solving of the simple liner eqution x +

More information

Review Topic 14: Relationships between two numerical variables

Review Topic 14: Relationships between two numerical variables Review Topi 14: Reltionships etween two numeril vriles Multiple hoie 1. Whih of the following stterplots est demonstrtes line of est fit? A B C D E 2. The regression line eqution for the following grph

More information

Part 4. Integration (with Proofs)

Part 4. Integration (with Proofs) Prt 4. Integrtion (with Proofs) 4.1 Definition Definition A prtition P of [, b] is finite set of points {x 0, x 1,..., x n } with = x 0 < x 1

More information

1 PYTHAGORAS THEOREM 1. Given a right angled triangle, the square of the hypotenuse is equal to the sum of the squares of the other two sides.

1 PYTHAGORAS THEOREM 1. Given a right angled triangle, the square of the hypotenuse is equal to the sum of the squares of the other two sides. 1 PYTHAGORAS THEOREM 1 1 Pythgors Theorem In this setion we will present geometri proof of the fmous theorem of Pythgors. Given right ngled tringle, the squre of the hypotenuse is equl to the sum of the

More information

Matrices SCHOOL OF ENGINEERING & BUILT ENVIRONMENT. Mathematics (c) 1. Definition of a Matrix

Matrices SCHOOL OF ENGINEERING & BUILT ENVIRONMENT. Mathematics (c) 1. Definition of a Matrix tries Definition of tri mtri is regulr rry of numers enlosed inside rkets SCHOOL OF ENGINEERING & UIL ENVIRONEN Emple he following re ll mtries: ), ) 9, themtis ), d) tries Definition of tri Size of tri

More information

Solutions to Assignment 1

Solutions to Assignment 1 MTHE 237 Fll 2015 Solutions to Assignment 1 Problem 1 Find the order of the differentil eqution: t d3 y dt 3 +t2 y = os(t. Is the differentil eqution liner? Is the eqution homogeneous? b Repet the bove

More information

Lecture Summaries for Multivariable Integral Calculus M52B

Lecture Summaries for Multivariable Integral Calculus M52B These leture summries my lso be viewed online by liking the L ion t the top right of ny leture sreen. Leture Summries for Multivrible Integrl Clulus M52B Chpter nd setion numbers refer to the 6th edition.

More information

For a, b, c, d positive if a b and. ac bd. Reciprocal relations for a and b positive. If a > b then a ab > b. then

For a, b, c, d positive if a b and. ac bd. Reciprocal relations for a and b positive. If a > b then a ab > b. then Slrs-7.2-ADV-.7 Improper Definite Integrls 27.. D.dox Pge of Improper Definite Integrls Before we strt the min topi we present relevnt lger nd it review. See Appendix J for more lger review. Inequlities:

More information

for all x in [a,b], then the area of the region bounded by the graphs of f and g and the vertical lines x = a and x = b is b [ ( ) ( )] A= f x g x dx

for all x in [a,b], then the area of the region bounded by the graphs of f and g and the vertical lines x = a and x = b is b [ ( ) ( )] A= f x g x dx Applitions of Integrtion Are of Region Between Two Curves Ojetive: Fin the re of region etween two urves using integrtion. Fin the re of region etween interseting urves using integrtion. Desrie integrtion

More information

SECTION A STUDENT MATERIAL. Part 1. What and Why.?

SECTION A STUDENT MATERIAL. Part 1. What and Why.? SECTION A STUDENT MATERIAL Prt Wht nd Wh.? Student Mteril Prt Prolem n > 0 n > 0 Is the onverse true? Prolem If n is even then n is even. If n is even then n is even. Wht nd Wh? Eploring Pure Mths Are

More information

TOPIC: LINEAR ALGEBRA MATRICES

TOPIC: LINEAR ALGEBRA MATRICES Interntionl Blurete LECTUE NOTES for FUTHE MATHEMATICS Dr TOPIC: LINEA ALGEBA MATICES. DEFINITION OF A MATIX MATIX OPEATIONS.. THE DETEMINANT deta THE INVESE A -... SYSTEMS OF LINEA EQUATIONS. 8. THE AUGMENTED

More information

1.3 SCALARS AND VECTORS

1.3 SCALARS AND VECTORS Bridge Course Phy I PUC 24 1.3 SCLRS ND VECTORS Introdution: Physis is the study of nturl phenomen. The study of ny nturl phenomenon involves mesurements. For exmple, the distne etween the plnet erth nd

More information

A Lower Bound for the Length of a Partial Transversal in a Latin Square, Revised Version

A Lower Bound for the Length of a Partial Transversal in a Latin Square, Revised Version A Lower Bound for the Length of Prtil Trnsversl in Ltin Squre, Revised Version Pooy Htmi nd Peter W. Shor Deprtment of Mthemtil Sienes, Shrif University of Tehnology, P.O.Bo 11365-9415, Tehrn, Irn Deprtment

More information

A Mathematical Model for Unemployment-Taking an Action without Delay

A Mathematical Model for Unemployment-Taking an Action without Delay Advnes in Dynmil Systems nd Applitions. ISSN 973-53 Volume Number (7) pp. -8 Reserh Indi Publitions http://www.ripublition.om A Mthemtil Model for Unemployment-Tking n Ation without Dely Gulbnu Pthn Diretorte

More information

Math 32B Discussion Session Week 8 Notes February 28 and March 2, f(b) f(a) = f (t)dt (1)

Math 32B Discussion Session Week 8 Notes February 28 and March 2, f(b) f(a) = f (t)dt (1) Green s Theorem Mth 3B isussion Session Week 8 Notes Februry 8 nd Mrh, 7 Very shortly fter you lerned how to integrte single-vrible funtions, you lerned the Fundmentl Theorem of lulus the wy most integrtion

More information

Now we must transform the original model so we can use the new parameters. = S max. Recruits

Now we must transform the original model so we can use the new parameters. = S max. Recruits MODEL FOR VARIABLE RECRUITMENT (ontinue) Alterntive Prmeteriztions of the pwner-reruit Moels We n write ny moel in numerous ifferent ut equivlent forms. Uner ertin irumstnes it is onvenient to work with

More information

Estimation of Global Solar Radiation in Onitsha and Calabar Using Empirical Models

Estimation of Global Solar Radiation in Onitsha and Calabar Using Empirical Models Communitions in Applied Sienes ISS 0-77 Volume, umer, 0, 5-7 Estimtion of Glol Solr dition in Onitsh nd Clr Using Empiril Models M.. nuhi, J. E. Ekpe nd G. F Ieh Deprtment of Industril Physis, Eonyi Stte

More information

Lecture Notes No. 10

Lecture Notes No. 10 2.6 System Identifition, Estimtion, nd Lerning Leture otes o. Mrh 3, 26 6 Model Struture of Liner ime Invrint Systems 6. Model Struture In representing dynmil system, the first step is to find n pproprite

More information

April 8, 2017 Math 9. Geometry. Solving vector problems. Problem. Prove that if vectors and satisfy, then.

April 8, 2017 Math 9. Geometry. Solving vector problems. Problem. Prove that if vectors and satisfy, then. pril 8, 2017 Mth 9 Geometry Solving vetor prolems Prolem Prove tht if vetors nd stisfy, then Solution 1 onsider the vetor ddition prllelogrm shown in the Figure Sine its digonls hve equl length,, the prllelogrm

More information

Symmetrical Components 1

Symmetrical Components 1 Symmetril Components. Introdution These notes should e red together with Setion. of your text. When performing stedy-stte nlysis of high voltge trnsmission systems, we mke use of the per-phse equivlent

More information

INTEGRATION. 1 Integrals of Complex Valued functions of a REAL variable

INTEGRATION. 1 Integrals of Complex Valued functions of a REAL variable INTEGRATION NOTE: These notes re supposed to supplement Chpter 4 of the online textbook. 1 Integrls of Complex Vlued funtions of REAL vrible If I is n intervl in R (for exmple I = [, b] or I = (, b)) nd

More information

Project 6: Minigoals Towards Simplifying and Rewriting Expressions

Project 6: Minigoals Towards Simplifying and Rewriting Expressions MAT 51 Wldis Projet 6: Minigols Towrds Simplifying nd Rewriting Expressions The distriutive property nd like terms You hve proly lerned in previous lsses out dding like terms ut one prolem with the wy

More information

Reflection Property of a Hyperbola

Reflection Property of a Hyperbola Refletion Propert of Hperol Prefe The purpose of this pper is to prove nltill nd to illustrte geometrill the propert of hperol wherein r whih emntes outside the onvit of the hperol, tht is, etween the

More information

System Validation (IN4387) November 2, 2012, 14:00-17:00

System Validation (IN4387) November 2, 2012, 14:00-17:00 System Vlidtion (IN4387) Novemer 2, 2012, 14:00-17:00 Importnt Notes. The exmintion omprises 5 question in 4 pges. Give omplete explntion nd do not onfine yourself to giving the finl nswer. Good luk! Exerise

More information

a) Read over steps (1)- (4) below and sketch the path of the cycle on a P V plot on the graph below. Label all appropriate points.

a) Read over steps (1)- (4) below and sketch the path of the cycle on a P V plot on the graph below. Label all appropriate points. Prole 3: Crnot Cyle of n Idel Gs In this prole, the strting pressure P nd volue of n idel gs in stte, re given he rtio R = / > of the volues of the sttes nd is given Finlly onstnt γ = 5/3 is given You

More information

Goodwin Accelerator Model Revisited with Piecewise Linear Delay Investment

Goodwin Accelerator Model Revisited with Piecewise Linear Delay Investment Advnes in Pure Mthemtis 8 8 78-7 http://wwwsirporg/journl/pm SSN Online: 6-8 SSN Print: 6-68 Goodwin Aelertor Model Revisited with Pieewise Liner Dely nvestment Aio Mtsumoto Keio Nym Feren Szidrovszy Deprtment

More information

Lecture 6: Coding theory

Lecture 6: Coding theory Leture 6: Coing theory Biology 429 Crl Bergstrom Ferury 4, 2008 Soures: This leture loosely follows Cover n Thoms Chpter 5 n Yeung Chpter 3. As usul, some of the text n equtions re tken iretly from those

More information

Numbers and indices. 1.1 Fractions. GCSE C Example 1. Handy hint. Key point

Numbers and indices. 1.1 Fractions. GCSE C Example 1. Handy hint. Key point GCSE C Emple 7 Work out 9 Give your nswer in its simplest form Numers n inies Reiprote mens invert or turn upsie own The reiprol of is 9 9 Mke sure you only invert the frtion you re iviing y 7 You multiply

More information

The study of dual integral equations with generalized Legendre functions

The study of dual integral equations with generalized Legendre functions J. Mth. Anl. Appl. 34 (5) 75 733 www.elsevier.om/lote/jm The study of dul integrl equtions with generlized Legendre funtions B.M. Singh, J. Rokne,R.S.Dhliwl Deprtment of Mthemtis, The University of Clgry,

More information

SIDESWAY MAGNIFICATION FACTORS FOR STEEL MOMENT FRAMES WITH VARIOUS TYPES OF COLUMN BASES

SIDESWAY MAGNIFICATION FACTORS FOR STEEL MOMENT FRAMES WITH VARIOUS TYPES OF COLUMN BASES Advned Steel Constrution Vol., No., pp. 7-88 () 7 SIDESWAY MAGNIFICATION FACTORS FOR STEEL MOMENT FRAMES WIT VARIOUS TYPES OF COLUMN BASES J. ent sio Assoite Professor, Deprtment of Civil nd Environmentl

More information

PYTHAGORAS THEOREM WHAT S IN CHAPTER 1? IN THIS CHAPTER YOU WILL:

PYTHAGORAS THEOREM WHAT S IN CHAPTER 1? IN THIS CHAPTER YOU WILL: PYTHAGORAS THEOREM 1 WHAT S IN CHAPTER 1? 1 01 Squres, squre roots nd surds 1 02 Pythgors theorem 1 03 Finding the hypotenuse 1 04 Finding shorter side 1 05 Mixed prolems 1 06 Testing for right-ngled tringles

More information

Appendix C Partial discharges. 1. Relationship Between Measured and Actual Discharge Quantities

Appendix C Partial discharges. 1. Relationship Between Measured and Actual Discharge Quantities Appendi Prtil dishrges. Reltionship Between Mesured nd Atul Dishrge Quntities A dishrging smple my e simply represented y the euilent iruit in Figure. The pplied lternting oltge V is inresed until the

More information

The Riemann-Stieltjes Integral

The Riemann-Stieltjes Integral Chpter 6 The Riemnn-Stieltjes Integrl 6.1. Definition nd Eistene of the Integrl Definition 6.1. Let, b R nd < b. ( A prtition P of intervl [, b] is finite set of points P = { 0, 1,..., n } suh tht = 0

More information

Review of Gaussian Quadrature method

Review of Gaussian Quadrature method Review of Gussin Qudrture method Nsser M. Asi Spring 006 compiled on Sundy Decemer 1, 017 t 09:1 PM 1 The prolem To find numericl vlue for the integrl of rel vlued function of rel vrile over specific rnge

More information

Co-ordinated s-convex Function in the First Sense with Some Hadamard-Type Inequalities

Co-ordinated s-convex Function in the First Sense with Some Hadamard-Type Inequalities Int. J. Contemp. Mth. Sienes, Vol. 3, 008, no. 3, 557-567 Co-ordinted s-convex Funtion in the First Sense with Some Hdmrd-Type Inequlities Mohmmd Alomri nd Mslin Drus Shool o Mthemtil Sienes Fulty o Siene

More information

MATH34032: Green s Functions, Integral Equations and the Calculus of Variations 1. 1 [(y ) 2 + yy + y 2 ] dx,

MATH34032: Green s Functions, Integral Equations and the Calculus of Variations 1. 1 [(y ) 2 + yy + y 2 ] dx, MATH3403: Green s Funtions, Integrl Equtions nd the Clulus of Vritions 1 Exmples 5 Qu.1 Show tht the extreml funtion of the funtionl I[y] = 1 0 [(y ) + yy + y ] dx, where y(0) = 0 nd y(1) = 1, is y(x)

More information

Section 4: Integration ECO4112F 2011

Section 4: Integration ECO4112F 2011 Reding: Ching Chpter Section : Integrtion ECOF Note: These notes do not fully cover the mteril in Ching, ut re ment to supplement your reding in Ching. Thus fr the optimistion you hve covered hs een sttic

More information

ON THE INEQUALITY OF THE DIFFERENCE OF TWO INTEGRAL MEANS AND APPLICATIONS FOR PDFs

ON THE INEQUALITY OF THE DIFFERENCE OF TWO INTEGRAL MEANS AND APPLICATIONS FOR PDFs ON THE INEQUALITY OF THE DIFFERENCE OF TWO INTEGRAL MEANS AND APPLICATIONS FOR PDFs A.I. KECHRINIOTIS AND N.D. ASSIMAKIS Deprtment of Eletronis Tehnologil Edutionl Institute of Lmi, Greee EMil: {kehrin,

More information

Integration. antidifferentiation

Integration. antidifferentiation 9 Integrtion 9A Antidifferentition 9B Integrtion of e, sin ( ) nd os ( ) 9C Integrtion reognition 9D Approimting res enlosed funtions 9E The fundmentl theorem of integrl lulus 9F Signed res 9G Further

More information

Ordinary Differential Equations- Boundary Value Problem

Ordinary Differential Equations- Boundary Value Problem Ordinry Differentil Equtions- Boundry Vlue Problem Shooting method Runge Kutt method Computer-bsed solutions o BVPFD subroutine (Fortrn IMSL subroutine tht Solves (prmeterized) system of differentil equtions

More information

Learning Objectives of Module 2 (Algebra and Calculus) Notes:

Learning Objectives of Module 2 (Algebra and Calculus) Notes: 67 Lerning Ojetives of Module (Alger nd Clulus) Notes:. Lerning units re grouped under three res ( Foundtion Knowledge, Alger nd Clulus ) nd Further Lerning Unit.. Relted lerning ojetives re grouped under

More information

Some Aspects of Non-Orthogonal Stagnation-Point Flow towards a Stretching Surface

Some Aspects of Non-Orthogonal Stagnation-Point Flow towards a Stretching Surface Engineering, 00,, 705-709 doi:0.436/eng.00.909 Published Online September 00 (http://www.sirp.org/journl/eng) Some Aspets of Non-Orthogonl Stgntion-Point Flow towrds Strething Surfe Abstrt Mothr Rez, Andi

More information

Calculus Cheat Sheet. Integrals Definitions. where F( x ) is an anti-derivative of f ( x ). Fundamental Theorem of Calculus. dx = f x dx g x dx

Calculus Cheat Sheet. Integrals Definitions. where F( x ) is an anti-derivative of f ( x ). Fundamental Theorem of Calculus. dx = f x dx g x dx Clulus Chet Sheet Integrls Definitions Definite Integrl: Suppose f ( ) is ontinuous Anti-Derivtive : An nti-derivtive of f ( ) on [, ]. Divide [, ] into n suintervls of is funtion, F( ), suh tht F = f.

More information

Gauss Quadrature Rule of Integration

Gauss Quadrature Rule of Integration Guss Qudrture Rule o Integrtion Mjor: All Engineering Mjors Authors: Autr Kw, Chrlie Brker http://numerilmethods.eng.us.edu Trnsorming Numeril Methods Edution or STEM Undergrdutes /0/00 http://numerilmethods.eng.us.edu

More information

MAT 403 NOTES 4. f + f =

MAT 403 NOTES 4. f + f = MAT 403 NOTES 4 1. Fundmentl Theorem o Clulus We will proo more generl version o the FTC thn the textook. But just like the textook, we strt with the ollowing proposition. Let R[, ] e the set o Riemnn

More information

Polynomials. Polynomials. Curriculum Ready ACMNA:

Polynomials. Polynomials. Curriculum Ready ACMNA: Polynomils Polynomils Curriulum Redy ACMNA: 66 www.mthletis.om Polynomils POLYNOMIALS A polynomil is mthemtil expression with one vrile whose powers re neither negtive nor frtions. The power in eh expression

More information

THE PYTHAGOREAN THEOREM

THE PYTHAGOREAN THEOREM THE PYTHAGOREAN THEOREM The Pythgoren Theorem is one of the most well-known nd widely used theorems in mthemtis. We will first look t n informl investigtion of the Pythgoren Theorem, nd then pply this

More information

Section 4.4. Green s Theorem

Section 4.4. Green s Theorem The Clulus of Funtions of Severl Vriles Setion 4.4 Green s Theorem Green s theorem is n exmple from fmily of theorems whih onnet line integrls (nd their higher-dimensionl nlogues) with the definite integrls

More information

Tutorial Worksheet. 1. Find all solutions to the linear system by following the given steps. x + 2y + 3z = 2 2x + 3y + z = 4.

Tutorial Worksheet. 1. Find all solutions to the linear system by following the given steps. x + 2y + 3z = 2 2x + 3y + z = 4. Mth 5 Tutoril Week 1 - Jnury 1 1 Nme Setion Tutoril Worksheet 1. Find ll solutions to the liner system by following the given steps x + y + z = x + y + z = 4. y + z = Step 1. Write down the rgumented mtrix

More information

Hyers-Ulam stability of Pielou logistic difference equation

Hyers-Ulam stability of Pielou logistic difference equation vilble online t wwwisr-publitionsom/jns J Nonliner Si ppl, 0 (207, 35 322 Reserh rtile Journl Homepge: wwwtjnsom - wwwisr-publitionsom/jns Hyers-Ulm stbility of Pielou logisti differene eqution Soon-Mo

More information

Cyclic voltammetry simulation at microelectrode arrays with COMSOL Multiphysics Ò

Cyclic voltammetry simulation at microelectrode arrays with COMSOL Multiphysics Ò J Appl Eletrohem (009) 39:9 63 DOI 0.007/s0800-009-9797- ORIGINAL PAPER Cyli voltmmetry simultion t miroeletrode rrys with COMSOL Multiphysis Ò Alessndro Lvhi Æ U. Brdi Æ C. Borri Æ S. Cporli Æ A. Fossti

More information

Dorf, R.C., Wan, Z. T- Equivalent Networks The Electrical Engineering Handbook Ed. Richard C. Dorf Boca Raton: CRC Press LLC, 2000

Dorf, R.C., Wan, Z. T- Equivalent Networks The Electrical Engineering Handbook Ed. Richard C. Dorf Boca Raton: CRC Press LLC, 2000 orf, R.C., Wn,. T- Equivlent Networks The Eletril Engineering Hndook Ed. Rihrd C. orf Bo Rton: CRC Press LLC, 000 9 T P Equivlent Networks hen Wn University of Cliforni, vis Rihrd C. orf University of

More information

Algorithms & Data Structures Homework 8 HS 18 Exercise Class (Room & TA): Submitted by: Peer Feedback by: Points:

Algorithms & Data Structures Homework 8 HS 18 Exercise Class (Room & TA): Submitted by: Peer Feedback by: Points: Eidgenössishe Tehnishe Hohshule Zürih Eole polytehnique fédérle de Zurih Politenio federle di Zurigo Federl Institute of Tehnology t Zurih Deprtement of Computer Siene. Novemer 0 Mrkus Püshel, Dvid Steurer

More information

6.5 Improper integrals

6.5 Improper integrals Eerpt from "Clulus" 3 AoPS In. www.rtofprolemsolving.om 6.5. IMPROPER INTEGRALS 6.5 Improper integrls As we ve seen, we use the definite integrl R f to ompute the re of the region under the grph of y =

More information

P 3 (x) = f(0) + f (0)x + f (0) 2. x 2 + f (0) . In the problem set, you are asked to show, in general, the n th order term is a n = f (n) (0)

P 3 (x) = f(0) + f (0)x + f (0) 2. x 2 + f (0) . In the problem set, you are asked to show, in general, the n th order term is a n = f (n) (0) 1 Tylor polynomils In Section 3.5, we discussed how to pproximte function f(x) round point in terms of its first derivtive f (x) evluted t, tht is using the liner pproximtion f() + f ()(x ). We clled this

More information

Physics 116C Solution of inhomogeneous ordinary differential equations using Green s functions

Physics 116C Solution of inhomogeneous ordinary differential equations using Green s functions Physics 6C Solution of inhomogeneous ordinry differentil equtions using Green s functions Peter Young November 5, 29 Homogeneous Equtions We hve studied, especilly in long HW problem, second order liner

More information

2. Topic: Summation of Series (Mathematical Induction) When n = 1, L.H.S. = S 1 = u 1 = 3 R.H.S. = 1 (1)(1+1)(4+5) = 3

2. Topic: Summation of Series (Mathematical Induction) When n = 1, L.H.S. = S 1 = u 1 = 3 R.H.S. = 1 (1)(1+1)(4+5) = 3 GCE A Level Otober/November 008 Suggested Solutions Mthemtis H (970/0) version. MATHEMATICS (H) Pper Suggested Solutions. Topi: Definite Integrls From the digrm: Are A = y dx = x Are B = x dy = y dy dx

More information

A Non-parametric Approach in Testing Higher Order Interactions

A Non-parametric Approach in Testing Higher Order Interactions A Non-prmetri Approh in Testing igher Order Intertions G. Bkeerthn Deprtment of Mthemtis, Fulty of Siene Estern University, Chenkldy, Sri Lnk nd S. Smit Deprtment of Crop Siene, Fulty of Agriulture University

More information

Final Exam Review. [Top Bottom]dx =

Final Exam Review. [Top Bottom]dx = Finl Exm Review Are Between Curves See 7.1 exmples 1, 2, 4, 5 nd exerises 1-33 (odd) The re of the region bounded by the urves y = f(x), y = g(x), nd the lines x = nd x = b, where f nd g re ontinuous nd

More information

NEW CIRCUITS OF HIGH-VOLTAGE PULSE GENERATORS WITH INDUCTIVE-CAPACITIVE ENERGY STORAGE

NEW CIRCUITS OF HIGH-VOLTAGE PULSE GENERATORS WITH INDUCTIVE-CAPACITIVE ENERGY STORAGE NEW CIRCUITS OF HIGH-VOLTAGE PULSE GENERATORS WITH INDUCTIVE-CAPACITIVE ENERGY STORAGE V.S. Gordeev, G.A. Myskov Russin Federl Nuler Center All-Russi Sientifi Reserh Institute of Experimentl Physis (RFNC-VNIIEF)

More information

MATH Final Review

MATH Final Review MATH 1591 - Finl Review November 20, 2005 1 Evlution of Limits 1. the ε δ definition of limit. 2. properties of limits. 3. how to use the diret substitution to find limit. 4. how to use the dividing out

More information

CS 491G Combinatorial Optimization Lecture Notes

CS 491G Combinatorial Optimization Lecture Notes CS 491G Comintoril Optimiztion Leture Notes Dvi Owen July 30, August 1 1 Mthings Figure 1: two possile mthings in simple grph. Definition 1 Given grph G = V, E, mthing is olletion of eges M suh tht e i,

More information

Generalization of 2-Corner Frequency Source Models Used in SMSIM

Generalization of 2-Corner Frequency Source Models Used in SMSIM Generliztion o 2-Corner Frequeny Soure Models Used in SMSIM Dvid M. Boore 26 Mrh 213, orreted Figure 1 nd 2 legends on 5 April 213, dditionl smll orretions on 29 My 213 Mny o the soure spetr models ville

More information

Green s Theorem. (2x e y ) da. (2x e y ) dx dy. x 2 xe y. (1 e y ) dy. y=1. = y e y. y=0. = 2 e

Green s Theorem. (2x e y ) da. (2x e y ) dx dy. x 2 xe y. (1 e y ) dy. y=1. = y e y. y=0. = 2 e Green s Theorem. Let be the boundry of the unit squre, y, oriented ounterlokwise, nd let F be the vetor field F, y e y +, 2 y. Find F d r. Solution. Let s write P, y e y + nd Q, y 2 y, so tht F P, Q. Let

More information

1.1. Linear Constant Coefficient Equations. Remark: A differential equation is an equation

1.1. Linear Constant Coefficient Equations. Remark: A differential equation is an equation 1 1.1. Liner Constnt Coefficient Equtions Section Objective(s): Overview of Differentil Equtions. Liner Differentil Equtions. Solving Liner Differentil Equtions. The Initil Vlue Problem. 1.1.1. Overview

More information

Gauss Quadrature Rule of Integration

Gauss Quadrature Rule of Integration Guss Qudrture Rule o Integrtion Computer Engineering Mjors Authors: Autr Kw, Chrlie Brker http://numerilmethods.eng.us.edu Trnsorming Numeril Methods Edution or STEM Undergrdutes /0/00 http://numerilmethods.eng.us.edu

More information

On the Scale factor of the Universe and Redshift.

On the Scale factor of the Universe and Redshift. On the Sle ftor of the Universe nd Redshift. J. M. unter. john@grvity.uk.om ABSTRACT It is proposed tht there hs been longstnding misunderstnding of the reltionship between sle ftor of the universe nd

More information

CS 573 Automata Theory and Formal Languages

CS 573 Automata Theory and Formal Languages Non-determinism Automt Theory nd Forml Lnguges Professor Leslie Lnder Leture # 3 Septemer 6, 2 To hieve our gol, we need the onept of Non-deterministi Finite Automton with -moves (NFA) An NFA is tuple

More information

Thermodynamics. Question 1. Question 2. Question 3 3/10/2010. Practice Questions PV TR PV T R

Thermodynamics. Question 1. Question 2. Question 3 3/10/2010. Practice Questions PV TR PV T R /10/010 Question 1 1 mole of idel gs is rought to finl stte F y one of three proesses tht hve different initil sttes s shown in the figure. Wht is true for the temperture hnge etween initil nd finl sttes?

More information

] dx (3) = [15x] 2 0

] dx (3) = [15x] 2 0 Leture 6. Double Integrls nd Volume on etngle Welome to Cl IV!!!! These notes re designed to be redble nd desribe the w I will eplin the mteril in lss. Hopefull the re thorough, but it s good ide to hve

More information

CHENG Chun Chor Litwin The Hong Kong Institute of Education

CHENG Chun Chor Litwin The Hong Kong Institute of Education PE-hing Mi terntionl onferene IV: novtion of Mthemtis Tehing nd Lerning through Lesson Study- onnetion etween ssessment nd Sujet Mtter HENG hun hor Litwin The Hong Kong stitute of Edution Report on using

More information

(h+ ) = 0, (3.1) s = s 0, (3.2)

(h+ ) = 0, (3.1) s = s 0, (3.2) Chpter 3 Nozzle Flow Qusistedy idel gs flow in pipes For the lrge vlues of the Reynolds number typilly found in nozzles, the flow is idel. For stedy opertion with negligible body fores the energy nd momentum

More information

Engr354: Digital Logic Circuits

Engr354: Digital Logic Circuits Engr354: Digitl Logi Ciruits Chpter 4: Logi Optimiztion Curtis Nelson Logi Optimiztion In hpter 4 you will lern out: Synthesis of logi funtions; Anlysis of logi iruits; Tehniques for deriving minimum-ost

More information

On Implicative and Strong Implicative Filters of Lattice Wajsberg Algebras

On Implicative and Strong Implicative Filters of Lattice Wajsberg Algebras Glol Journl of Mthemtil Sienes: Theory nd Prtil. ISSN 974-32 Volume 9, Numer 3 (27), pp. 387-397 Interntionl Reserh Pulition House http://www.irphouse.om On Implitive nd Strong Implitive Filters of Lttie

More information

ChE 548 Final Exam Spring, 2004

ChE 548 Final Exam Spring, 2004 . Keffer, eprtment of Chemil Engineering, University of ennessee ChE 58 Finl Em Spring, Problem. Consider single-omponent, inompressible flid moving down n ninslted fnnel. erive the energy blne for this

More information

2. There are an infinite number of possible triangles, all similar, with three given angles whose sum is 180.

2. There are an infinite number of possible triangles, all similar, with three given angles whose sum is 180. SECTION 8-1 11 CHAPTER 8 Setion 8 1. There re n infinite numer of possile tringles, ll similr, with three given ngles whose sum is 180. 4. If two ngles α nd β of tringle re known, the third ngle n e found

More information

Global alignment. Genome Rearrangements Finding preserved genes. Lecture 18

Global alignment. Genome Rearrangements Finding preserved genes. Lecture 18 Computt onl Biology Leture 18 Genome Rerrngements Finding preserved genes We hve seen before how to rerrnge genome to obtin nother one bsed on: Reversls Knowledge of preserved bloks (or genes) Now we re

More information

NON-DETERMINISTIC FSA

NON-DETERMINISTIC FSA Tw o types of non-determinism: NON-DETERMINISTIC FS () Multiple strt-sttes; strt-sttes S Q. The lnguge L(M) ={x:x tkes M from some strt-stte to some finl-stte nd ll of x is proessed}. The string x = is

More information

Numerical Methods for Chemical Engineers

Numerical Methods for Chemical Engineers Numeril Methods for Chemil Engineers Chpter 4: System of Liner Algebri Eqution Shrudin Hron Pge 4 - System of Liner Algebri Equtions This hpter dels with the se of determining the vlues,,, n tht simultneously

More information

63. Representation of functions as power series Consider a power series. ( 1) n x 2n for all 1 < x < 1

63. Representation of functions as power series Consider a power series. ( 1) n x 2n for all 1 < x < 1 3 9. SEQUENCES AND SERIES 63. Representtion of functions s power series Consider power series x 2 + x 4 x 6 + x 8 + = ( ) n x 2n It is geometric series with q = x 2 nd therefore it converges for ll q =

More information

New Expansion and Infinite Series

New Expansion and Infinite Series Interntionl Mthemticl Forum, Vol. 9, 204, no. 22, 06-073 HIKARI Ltd, www.m-hikri.com http://dx.doi.org/0.2988/imf.204.4502 New Expnsion nd Infinite Series Diyun Zhng College of Computer Nnjing University

More information

AN ANALYSIS OF TWO DIMENSIONAL INTEGRAL EQUATIONS OF THE SECOND KIND

AN ANALYSIS OF TWO DIMENSIONAL INTEGRAL EQUATIONS OF THE SECOND KIND AN ANALYSIS OF TWO DIMENSIONAL INTEGRAL EQUATIONS,... 5 LE MATEMATICHE Vol. LXII (2007) - Fs. I, pp. 5-39 AN ANALYSIS OF TWO DIMENSIONAL INTEGRAL EQUATIONS OF THE SECOND KIND M. M. EL-BORAI - M. A. ABDOU

More information

Technische Universität München Winter term 2009/10 I7 Prof. J. Esparza / J. Křetínský / M. Luttenberger 11. Februar Solution

Technische Universität München Winter term 2009/10 I7 Prof. J. Esparza / J. Křetínský / M. Luttenberger 11. Februar Solution Tehnishe Universität Münhen Winter term 29/ I7 Prof. J. Esprz / J. Křetínský / M. Luttenerger. Ferur 2 Solution Automt nd Forml Lnguges Homework 2 Due 5..29. Exerise 2. Let A e the following finite utomton:

More information

Section 3.6. Definite Integrals

Section 3.6. Definite Integrals The Clulus of Funtions of Severl Vribles Setion.6 efinite Integrls We will first define the definite integrl for funtion f : R R nd lter indite how the definition my be extended to funtions of three or

More information

12.4 Similarity in Right Triangles

12.4 Similarity in Right Triangles Nme lss Dte 12.4 Similrit in Right Tringles Essentil Question: How does the ltitude to the hpotenuse of right tringle help ou use similr right tringles to solve prolems? Eplore Identifing Similrit in Right

More information

Thomas Whitham Sixth Form

Thomas Whitham Sixth Form Thoms Whithm Sith Form Pure Mthemtics Unit C Alger Trigonometry Geometry Clculus Vectors Trigonometry Compound ngle formule sin sin cos cos Pge A B sin Acos B cos Asin B A B sin Acos B cos Asin B A B cos

More information