A PREY-PREDATOR MODEL WITH COVER FOR THE PREY AND AN ALTERNATIVE FOOD FOR THE PREDATOR AND CONSTANT HARVESTING OF BOTH THE SPECIES *
|
|
- Brice King
- 5 years ago
- Views:
Transcription
1 Jordn Journl of Mthemtics nd Sttistics (JJMS) (), 009, pp A PREY-PREATOR MOEL WITH COVER FOR THE PREY A A ALTERATIVE FOO FOR THE PREATOR A COSTAT HARVESTIG OF BOTH THE SPECIES * K. LAKSHMI ARAYA.PATTABHIRAMACHARYULU ABSTRACT The present pper is devoted to n nlyticl investigtion of two species preypredtor model. Predtor is provided with limited resource of food in ddition to the prey nd cover to prey proportionte to its popultion to get protection from the predtor. Both the prey nd predtor re hrvested t constnt rte. The model is chrcterized by couple of first order non-liner ordinry differentil equtions. The lone equilibrium point of the model is identified nd its stbility criteri is discussed. The Globl stbility of linerized equtions is discussed by constructing suitble Lipunov s function. A threshold theorem is stted nd results re discussed.. ITROUCTIO In the clssicl Lotk - Volterr Prey - Predtor model, there is no protection for Prey from the Predtor nd Predtor sustins on the Prey lone. When the Prey popultion flls below certin level, the predtor would migrte to nother region in serch of food nd return only when the Prey popultion rises to the required level. Olinck,[] gve n introduction to Mthemticl modeling in life sciences. Kpur, [], Smith,[3], Colinvux, [4], Freedmn, [5] discussed some of the prey-predtor ecologicl models. My, [6] discussed stbility nd complexity of ecologicl models, Vrm, [7] discussed bout their exct solutions. ryn & Rmchryulu, [8], [9], [0], [] nd [] discussed different prey-predtor models.. Bsic Equtions The model equtions for two species prey-predtor system is given by coupled below. non-liner ordinry differentil equtions employing the terminology given nd re the popultions of the prey nd predtor with the nturl growth rtes nd respectively, is rte of decrese of the prey due to insufficient food, 000 Mthemtics Subject Clssifiction: 37C75. Keywords: Equilibrium point, orml Study Stte, Prey, Predtor, Stbility, Threshold igrms, nd Threshold Theorems. Copyright enship of Reserch nd Grdute Studies, Yrmouk University, Irbid, Jordn. Received on: ec. 4, 008 Accepted on: June 6,
2 44 K. LAKSHMI ARAYA A.PATTABHIRAMACHARYULU is rte of decrese of the prey due to inhibition by the predtor, is rte of increse of the predtor due to successful ttcks on the prey, is rte of decrese of the predtor due to insufficient food other thn the prey, h is rte of hrvest of the prey, h is rte of hrvest of the predtor, nd both h, h re ssumed to be positive constnts. (i)eqution for the growth rte of prey species ( ): d ( k) - h. (.) (ii)eqution for the growth rte of predtor species ( ): d ( k ) - h (.) 3. Equilibrium sttes The equilibrium sttes for the system under investigtion re given by d d 0 nd 0 { ( k) } h (3.) i.e. { ( k) } h (3.) (3.) ( k) (3.) ( k) we get h ( k) h ( k) ( k ) ( k ) ( k ) ( k ) (3.3) On rerrnging, the bove terms cn brought to the form ( k) ( ) ( k) ( ) ( k) h 4 ( ) ( k) ( h ) 0 4, (3.4) which connects the hrvesting rtes nd the norml stedy stte. From this eqution two cses cn be drwn. They re (i) Cse of exclusive hrvesting (i.e. the hrvesting rtes of prey nd predtor re independent of ech other) is given s h nd h (3.5) 4 4
3 A PREY-PREATOR MOEL WITH COVER FOR THE PREY A A ALTERATIVE FOO FOR THE PREATOR A COSTAT HARVESTIG OF BOTH THE SPECIES 45 (ii) Cse of mixed or gross hrvesting is chrcterized by ( ) ( ) 0 k h k h 4 4 ( ) ( ) (3.6) In either of the cses, the equilibrium vlues of nd re relted by ( k) ( ) ( k) ( ) 0 (3.7) The lone equilibrium point is (Hlf of the crrying cpcity of (Hlf of the crrying cpcity of ) nd (3.8) ) (3.9) 4. Stbility of Equilibrium Stte Let (, ) U ( u, u) (4.) where U ( u, u ) is smll perturbtion over the equilibrium stte ( ).The bsic equtions (.), (.) re qusi-linerized to obtin the, du equtions for the perturbed stte AU where ( k) ( k ) A ( k ) ( k) (4.) The chrcteristic eqution for the system is det [ A λi ] 0 (4.3) The equilibrium stte is stble only when the roots of the eqution (4.3) re negtive, in cse they re rel or hve negtive rel prts, in cse they re complex. Put u nd u in (.) & (.), where u nd u re smll perturbtions from the equilibrium stte. du du ( u ){ ( u ) ( k)( u )} h (4.) ( u ){ ( u ) ( k)( u )} h (4.) By neglecting products, higher powers of u, u, nd constnt terms we get du u ( ku ) (4.3)
4 46 K. LAKSHMI ARAYA A.PATTABHIRAMACHARYULU nd du u ( k) u (4.4) The chrcteristic eqution is λ ( ) λ [ ( k) ] 0 (4.5) The roots of which cn be noted to be negtive. The co-existent equilibrium stte is stble. The trjectories re u0 ( λ )- u0 ( k) u e λ t λ λ u0 ( λ )- u0 ( k) e λ t (4.6) λ λ u ( λ )- u ( k) u 0 0 λ λ u0 ( λ )- u0 ( k) λ λ The curves re illustrted in Figures &. t e λ t e λ (4.7) CASE : Initilly the prey domintes the predtor nd it continues through out its growth i.e. u 0 < u 0. In this cse the predtor lwys outnumbers the prey. It is evident tht both the species re symptotic to the equilibrium point. Hence this stte is stble. CASE : The prey domintes the predtor in nturl growth rte but its initil strength is less thn tht of predtor. i.e. u0 > u 0. In this cse, initilly the prey outnumber the predtor nd this continues the time instnt t t* given by eqution (4.8), fter which the predtor out number the prey. t t * λ λ where 3 ( b ) u ( b) u ln ( b 6 ) u0 ( 4 b ) u0 λ ; 4 λ ; 5 λ ; λ 6 (4.8) b ( k) ; b ( k). (4.9) As t both u& u pproches the equilibrium point. Hence the stte is stble.
5 A PREY-PREATOR MOEL WITH COVER FOR THE PREY A A ALTERATIVE FOO FOR THE PREATOR A COSTAT HARVESTIG OF BOTH THE SPECIES Trjectories of perturbed species The trjectories in the u-uplne re given by ( p - v 3 ) ( )( v v) ( u- uv) [ u ] d ( 3 ) ( ) p v u v u (4.0) where, p (4.) 3 nd v, v re roots of qudrtic eqution v bv c4 0with ; b ( k) (4.) ; c ( k) 4 nd d, n rbitrry constnt. When ( ) < 4 ( k), (4.3) the roots re complex with negtive rel prt. Hence the equilibrium stte is stble. The solution curves re illustrted in Figure.3. When ( ) > 4 ( k), (4.4) the roots re rel nd negtive. Hence the equilibrium stte is stble. The solution curves re illustrted in Figure Lipunov s Function for Globl Stbility The Linerized Bsic Equtions for the model under investigtion re du du The chrcteristic eqution is u ( ku ) (5.) ( ku ) u (5.) ( λ )( λ ) ( k) 0 λ pλ q 0 (5.3) where p > nd q { ( k) } > 0 0 Hence the conditions for Lipunov s function re stisfied. ow we define Eu (, u) ( u buu cu ) (5.4) ( ( k ) ) ( ) { ( k) } where (5.5)
6 48 K. LAKSHMI ARAYA A.PATTABHIRAMACHARYULU ( k) ( k) b (5.6) ( ) ( ( k) ) { ( k) } c nd (5.7) pq { }{ ( k) } (5.8) From equtions (5.5) & (5.8) it is cler tht > 0 nd > 0. Also ( c b ) ( ( k ) ) ( ) { ( k) } { ( ) ( ( k) ) { ( k) } ( k) ( k) ( k) Since > 0, c (5.9) b is lso greter thn zero. (5.0) } > 0 The function E(x, y) is positive definite. Further, du du ( u bu )[ u ( k) u ] ( bu cu )[ ( k) u u ] ( b( k) ) u ( b ( k) c ) u {[ b ( k)] [ b c ( k) } uu (5.) By substituting the vlues of, b nd c from equtions (5.5),( 5.6) &(5.7) nd on simplifiction, we get du du { k k k [ ( ) ( ) ( ) { ( k) ] } u k k [ ( ) ( )
7 A PREY-PREATOR MOEL WITH COVER FOR THE PREY A A ALTERATIVE FOO FOR THE PREATOR A COSTAT HARVESTIG OF BOTH THE SPECIES 49 ( k) ] } u { 3 ( k) ( k) ( k) 3 ( k) ( k) ( k) ( k) ( k) ( k) 3 3 ( ) ( ) ( ) k k k } uu u u du du ( u u ), (5.) which is clerly negtive definite. So E(x, y) is Lypunov s function for the liner system. Further we prove tht E ( u, u ) is lso Lypunov s function for the non liner system. If, F nd F re defined by F(, ) { ( k) } h F(, ) { ( k) } h (5.3), (5.4) we hve to prove tht F F is negtive definite. By substituting u nd u in (5.) & (5.) equtions, we get du ( u ) u k k u { ( ) ( ) }- h From (5.3), F( u, u ) du u ( ku ) f ( u, u ) (5.5) where f ( u, u ) u ( k) uu - h (5.6)
8 50 K. LAKSHMI ARAYA A.PATTABHIRAMACHARYULU Similrly F ( u, u ) du u ( k) u f ( u, u ) (5.7) where f ( u, u ) u ( k) uu - h (5.8) And we hve u bu nd bu cu (5.9) By considering the equtions (5.5),(5.7) nd (5.9), F F ( u u ) ( u bu ) f ( u, u ) ( bu cu ) f ( u, u ) (5.0) By introducing polr co-ordintes we get, F F [( cos sin ) ( ) ( cos sin ) ( )] (5.) r r θ b θ f u, u b θ c θ f u, u By denoting lrgest of the numbers, b, c by M, our ssumptions become (, ) r f u u < nd f( u, u) 6M for ll sufficiently smll r > 0, F F so 4Kr r < r < 0 6M 3 r < (5.) 6M Thus E ( u, u ) is positive definite function with the property tht F F is negtive definite. The equilibrium point is n symptoticlly stble. 6. Threshold Theorem In consonnce with the principle of competitive exclusion [Guss (934)], we deduce Threshold Theorems for the lone equilibrium point. The bsic equtions for the model under considertion cn be re-written s where d { k β } h k d { k β } h k k ; k ; β ( k) nd (6.) β ( k).
9 A PREY-PREATOR MOEL WITH COVER FOR THE PREY A A ALTERATIVE FOO FOR THE PREATOR A COSTAT HARVESTIG OF BOTH THE SPECIES 5 Theorem. Principle of Competitive Exclusion. k k When k k β > nd β >, then every solution of (), t () t of (6.) pproches the equilibrium solution () t ( 0 ) nd () t ( 0 ) s t pproches infinity. In other words, if prey nd predtor species re nerly identicl nd the microcosm cn support both the members of prey nd predtor species depending up on the initil conditions. Proof: The first step in our proof is to show tht () t nd () t cn never become negtive. To this end, observe tht () t nd is solution of (6.) for ny choice of (0) () t. The orbit of this solution in the plne is the point (0, 0) for (0) 0 ; the line 0 < < k, 0 for 0 < (0) < k ; the point ( k,0) for (0) k ; nd the line k < <, 0 for (0) k >. Thus the xis, for 0 is the union of four distinct orbits of (6.). Similrly the xis, for 0, is the union of four distinct orbits of (6.). This implies tht ll solutions (), t () t of (6.) which strt in the first qudrnt ( () t 0, 0) > > of the plne must remin there for ll future time. The second step in our proof is to split the first qudrnt into regions in which both d nd d hve fixed signs. This is ccomplished in the following mnner. Let l nd l be the lines k β h nd k β h respectively d nd the point of their intersection, is (, ). Observe tht is negtive if (, ) lies bove the line l nd positive if (, ) lies below l. Similrly, is negtive if (, ) lies bove l nd positive if (, ) lies below l. Thus the two lines l nd l split the first qudrnt of the plne into four regions in d which both d nd d hve fixed signs. (), t () t both increse with time in region I; () t increses nd () t decreses with time in region II;
10 5 K. LAKSHMI ARAYA A.PATTABHIRAMACHARYULU () t decreses nd () t increses with time in region III nd both () t nd () t decrese with time in region IV. In this region both the prey predtor compete with ech other but do not flourish nd t the sme time do not get extinct. Finlly we require the following four lemms. Lemm. Any solution of (), t () t of (6.) which strts in region I t time t t0 will remin in this region for ll future time t t0, nd ultimtely pproch the equilibrium solution () t, () t.(figure 5) Lemm. Any solution of (), t () t of (6.) which strts in region II t time t t0 will remin in this region for ll future time t t0, nd ultimtely pproch the equilibrium solution () t, () t.(figure 5) Lemm 3. Any solution of (), t () t of (6.) which strts in region III t time t t0 will remin in this region for ll future time t t0, nd ultimtely pproch the equilibrium solution () t, () t.(figure 5) Lemm 4. Any solution of (), t () t of (6.) which strts in region VI t time t t0 will remin in this region for ll future time t t0, nd ultimtely pproch the equilibrium solution () t, () t.(figure 5) Lemms,, 3 nd 4 stte tht every solution (), t () t of (6.) which strts in region I, II, III or VI t time t t0 nd remins there for ll future time must lso pproch equilibrium solution () t, () t s t pproches infinity. ext, observe tht ny solution (), t () t of () which strts on l or l must immeditely fterwrds enter regions I, II, III or VI. Finlly the solution pproches the equilibrium solution () t, () t. This is illustrted in Figure 6
11 A PREY-PREATOR MOEL WITH COVER FOR THE PREY A A ALTERATIVE FOO FOR THE PREATOR A COSTAT HARVESTIG OF BOTH THE SPECIES Trjectories 8. Future Work In the present pper it is investigted tht Prey-Predtor model with constnt hrvesting of both species, cover for prey nd limited lternte food is supplied to the predtor. There is scope to study the model with constnt hrvesting of the prey species, or constnt hrvesting of the predtor species. Further cover cn be removed to the Prey nd without n lternte food to the predtor.
12 54 K. LAKSHMI ARAYA A.PATTABHIRAMACHARYULU REFERECES [] Michel Olinck, An introduction to Mthemticl models in the socil nd Life Sciences, Addison Wesley, 978. [] Kpur, J.., Mthemticl models in Biology nd Medicine, Affilited Est- West,985. [3] Smith, J. M., Models in Ecology, Cmbridge University Press, Cmbridge, 974. [4] Pul Colinvux, Ecology, John Wiley nd Sons Inc., ew York, 977. [5]. Freedmn, H. I., eterministic Mthemticl Models in Popultion Ecology, Mrcel ecker, ew York, 980. [6] My, R. M., Stbility nd complexity in Model Eco-systems, Princeton University Press, Princeton, 973. [7] Vrm, V. S., A note on Exct solutions for specil prey-predtor or competing species system, Bull. Mth. Biol., 39(977), [8] ryn, K. L., A Mthemticl Study of Prey Predtor Ecologicl Models with Prtil Cover for the Prey nd Alterntive Food for the Predtor, Ph. thesis, JTU, Hyderbd, 005. [9] ryn, K.L. & Rmchryulu,.C.P, A Prey-Predtor Model with n Alterntive Food for the Predtor, hrvesting of both the Species nd with A Gesttion Period for Interction, IJOPCM,() ( 008 ), [0] ryn, K.L. & Rmchryulu,.C.P, A Prey-Predtor Model with n Alterntive Food for the Predtor, hrvesting of both the Species nd. A Time ely, Proceedings of ICM, UAE, ( 008 ), [] ryn, K.L. & Rmchryulu,.C.P, A Prey-Predtor Model with cover proportionl to size of the Prey nd n Alterntive Food for the Predtor, Int. J. of Mth. Sci. & Engg. Appls., (IV) (008), 9-4. [] ryn, K.L. & Rmchryulu,.C.P, Some Threshold Theorems for Prey- Predtor Model with Hrvesting, Int.J. of Mth. Sci. & Engg. Appls., ( II )(008), eprtment of Mthemtics & Humnities, SLC S IET, Hyderbd-50 5, Indi. eprtment of Mthemtics & Humnities, IT, Wrngl , Indi. E-mil ddress: nrynkunderu@yhoo.com
A Model of two mutually interacting Species with Mortality Rate for the Second Species
Avilble online t www.pelgireserchlibrry.com Advnces in Applied Science Reserch, 0, 3 ():757-764 ISS: 0976-860 CODE (USA): AASRFC A Model of two mutully intercting Species with Mortlity Rte for the Second
More informationON PREY-PREDATOR MODEL WITH HOLLING-TYPE II AND LESLIE-GOWER SCHEMES AHMED BUSERI ASHINE
Journl of Mthemtics nd Computer Applictions Reserch (JMCAR) ISSN(P): 5-48; ISSN(E): Applied Vol 3, Issue 1, Dec 16, 7-34 TJPRC Pvt Ltd ON PREY-PREDATOR MODEL WITH HOLLING-TYPE II AND LESLIE-GOWER SCHEMES
More informationMath 42 Chapter 7 Practice Problems Set B
Mth 42 Chpter 7 Prctice Problems Set B 1. Which of the following functions is solution of the differentil eqution dy dx = 4xy? () y = e 4x (c) y = e 2x2 (e) y = e 2x (g) y = 4e2x2 (b) y = 4x (d) y = 4x
More informationMATH 3795 Lecture 18. Numerical Solution of Ordinary Differential Equations.
MATH 3795 Lecture 18. Numericl Solution of Ordinry Differentil Equtions. Dmitriy Leykekhmn Fll 2008 Gols Introduce ordinry differentil equtions (ODEs) nd initil vlue problems (IVPs). Exmples of IVPs. Existence
More informationMath 31S. Rumbos Fall Solutions to Assignment #16
Mth 31S. Rumbos Fll 2016 1 Solutions to Assignment #16 1. Logistic Growth 1. Suppose tht the growth of certin niml popultion is governed by the differentil eqution 1000 dn N dt = 100 N, (1) where N(t)
More informationLinear and Non-linear Feedback Control Strategies for a 4D Hyperchaotic System
Pure nd Applied Mthemtics Journl 017; 6(1): 5-13 http://www.sciencepublishinggroup.com/j/pmj doi: 10.11648/j.pmj.0170601.1 ISSN: 36-9790 (Print); ISSN: 36-981 (Online) Liner nd Non-liner Feedbck Control
More informationTANDEM QUEUE WITH THREE MULTISERVER UNITS AND BULK SERVICE WITH ACCESSIBLE AND NON ACCESSBLE BATCH IN UNIT III WITH VACATION
Indin Journl of Mthemtics nd Mthemticl Sciences Vol. 7, No., (June ) : 9-38 TANDEM QUEUE WITH THREE MULTISERVER UNITS AND BULK SERVICE WITH ACCESSIBLE AND NON ACCESSBLE BATCH IN UNIT III WITH VACATION
More informationW. We shall do so one by one, starting with I 1, and we shall do it greedily, trying
Vitli covers 1 Definition. A Vitli cover of set E R is set V of closed intervls with positive length so tht, for every δ > 0 nd every x E, there is some I V with λ(i ) < δ nd x I. 2 Lemm (Vitli covering)
More informationNew 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 informationMath 520 Final Exam Topic Outline Sections 1 3 (Xiao/Dumas/Liaw) Spring 2008
Mth 520 Finl Exm Topic Outline Sections 1 3 (Xio/Dums/Liw) Spring 2008 The finl exm will be held on Tuesdy, My 13, 2-5pm in 117 McMilln Wht will be covered The finl exm will cover the mteril from ll of
More informationAsymptotic Behavior of the Solutions of a Class of Rational Difference Equations
Interntionl Journl of Difference Equtions ISSN 0973-6069, Volume 5, Number 2, pp. 233 249 200) http://cmpus.mst.edu/ijde Asymptotic Behvior of the Solutions of Clss of Rtionl Difference Equtions G. Ppschinopoulos
More informationState space systems analysis (continued) Stability. A. Definitions A system is said to be Asymptotically Stable (AS) when it satisfies
Stte spce systems nlysis (continued) Stbility A. Definitions A system is sid to be Asymptoticlly Stble (AS) when it stisfies ut () = 0, t > 0 lim xt () 0. t A system is AS if nd only if the impulse response
More informationModule 6: LINEAR TRANSFORMATIONS
Module 6: LINEAR TRANSFORMATIONS. Trnsformtions nd mtrices Trnsformtions re generliztions of functions. A vector x in some set S n is mpped into m nother vector y T( x). A trnsformtion is liner if, for
More informationDefinition of Continuity: The function f(x) is continuous at x = a if f(a) exists and lim
Mth 9 Course Summry/Study Guide Fll, 2005 [1] Limits Definition of Limit: We sy tht L is the limit of f(x) s x pproches if f(x) gets closer nd closer to L s x gets closer nd closer to. We write lim f(x)
More informationCzechoslovak Mathematical Journal, 55 (130) (2005), , Abbotsford. 1. Introduction
Czechoslovk Mthemticl Journl, 55 (130) (2005), 933 940 ESTIMATES OF THE REMAINDER IN TAYLOR S THEOREM USING THE HENSTOCK-KURZWEIL INTEGRAL, Abbotsford (Received Jnury 22, 2003) Abstrct. When rel-vlued
More informationEuler, Ioachimescu and the trapezium rule. G.J.O. Jameson (Math. Gazette 96 (2012), )
Euler, Iochimescu nd the trpezium rule G.J.O. Jmeson (Mth. Gzette 96 (0), 36 4) The following results were estblished in recent Gzette rticle [, Theorems, 3, 4]. Given > 0 nd 0 < s
More informationMathematics Extension 1
04 Bored of Studies Tril Emintions Mthemtics Etension Written by Crrotsticks & Trebl. Generl Instructions Totl Mrks 70 Reding time 5 minutes. Working time hours. Write using blck or blue pen. Blck pen
More informationConservation Law. Chapter Goal. 5.2 Theory
Chpter 5 Conservtion Lw 5.1 Gol Our long term gol is to understnd how mny mthemticl models re derived. We study how certin quntity chnges with time in given region (sptil domin). We first derive the very
More informationPhys 7221, Fall 2006: Homework # 6
Phys 7221, Fll 2006: Homework # 6 Gbriel González October 29, 2006 Problem 3-7 In the lbortory system, the scttering ngle of the incident prticle is ϑ, nd tht of the initilly sttionry trget prticle, which
More informationSolution to Fredholm Fuzzy Integral Equations with Degenerate Kernel
Int. J. Contemp. Mth. Sciences, Vol. 6, 2011, no. 11, 535-543 Solution to Fredholm Fuzzy Integrl Equtions with Degenerte Kernel M. M. Shmivnd, A. Shhsvrn nd S. M. Tri Fculty of Science, Islmic Azd University
More informationp-adic Egyptian Fractions
p-adic Egyptin Frctions Contents 1 Introduction 1 2 Trditionl Egyptin Frctions nd Greedy Algorithm 2 3 Set-up 3 4 p-greedy Algorithm 5 5 p-egyptin Trditionl 10 6 Conclusion 1 Introduction An Egyptin frction
More informationARITHMETIC OPERATIONS. The real numbers have the following properties: a b c ab ac
REVIEW OF ALGEBRA Here we review the bsic rules nd procedures of lgebr tht you need to know in order to be successful in clculus. ARITHMETIC OPERATIONS The rel numbers hve the following properties: b b
More informationCandidates must show on each answer book the type of calculator used.
UNIVERSITY OF EAST ANGLIA School of Mthemtics My/June UG Exmintion 2007 2008 ELECTRICITY AND MAGNETISM Time llowed: 3 hours Attempt FIVE questions. Cndidtes must show on ech nswer book the type of clcultor
More informationMath 360: A primitive integral and elementary functions
Mth 360: A primitive integrl nd elementry functions D. DeTurck University of Pennsylvni October 16, 2017 D. DeTurck Mth 360 001 2017C: Integrl/functions 1 / 32 Setup for the integrl prtitions Definition:
More informationAQA Further Pure 1. Complex Numbers. Section 1: Introduction to Complex Numbers. The number system
Complex Numbers Section 1: Introduction to Complex Numbers Notes nd Exmples These notes contin subsections on The number system Adding nd subtrcting complex numbers Multiplying complex numbers Complex
More informationthan 1. It means in particular that the function is decreasing and approaching the x-
6 Preclculus Review Grph the functions ) (/) ) log y = b y = Solution () The function y = is n eponentil function with bse smller thn It mens in prticulr tht the function is decresing nd pproching the
More informationExam 1 Solutions (1) C, D, A, B (2) C, A, D, B (3) C, B, D, A (4) A, C, D, B (5) D, C, A, B
PHY 249, Fll 216 Exm 1 Solutions nswer 1 is correct for ll problems. 1. Two uniformly chrged spheres, nd B, re plced t lrge distnce from ech other, with their centers on the x xis. The chrge on sphere
More informationKEY CONCEPTS. satisfies the differential equation da. = 0. Note : If F (x) is any integral of f (x) then, x a
KEY CONCEPTS THINGS TO REMEMBER :. The re ounded y the curve y = f(), the -is nd the ordintes t = & = is given y, A = f () d = y d.. If the re is elow the is then A is negtive. The convention is to consider
More informationOrdinary differential equations
Ordinry differentil equtions Introduction to Synthetic Biology E Nvrro A Montgud P Fernndez de Cordob JF Urchueguí Overview Introduction-Modelling Bsic concepts to understnd n ODE. Description nd properties
More informationapproaches as n becomes larger and larger. Since e > 1, the graph of the natural exponential function is as below
. Eponentil nd rithmic functions.1 Eponentil Functions A function of the form f() =, > 0, 1 is clled n eponentil function. Its domin is the set of ll rel f ( 1) numbers. For n eponentil function f we hve.
More informationON A CONVEXITY PROPERTY. 1. Introduction Most general class of convex functions is defined by the inequality
Krgujevc Journl of Mthemtics Volume 40( (016, Pges 166 171. ON A CONVEXITY PROPERTY SLAVKO SIMIĆ Abstrct. In this rticle we proved n interesting property of the clss of continuous convex functions. This
More informationThe Wave Equation I. MA 436 Kurt Bryan
1 Introduction The Wve Eqution I MA 436 Kurt Bryn Consider string stretching long the x xis, of indeterminte (or even infinite!) length. We wnt to derive n eqution which models the motion of the string
More informationODE: Existence and Uniqueness of a Solution
Mth 22 Fll 213 Jerry Kzdn ODE: Existence nd Uniqueness of Solution The Fundmentl Theorem of Clculus tells us how to solve the ordinry differentil eqution (ODE) du = f(t) dt with initil condition u() =
More informationNumerical Linear Algebra Assignment 008
Numericl Liner Algebr Assignment 008 Nguyen Qun B Hong Students t Fculty of Mth nd Computer Science, Ho Chi Minh University of Science, Vietnm emil. nguyenqunbhong@gmil.com blog. http://hongnguyenqunb.wordpress.com
More informationA. Limits - L Hopital s Rule ( ) How to find it: Try and find limits by traditional methods (plugging in). If you get 0 0 or!!, apply C.! 1 6 C.
A. Limits - L Hopitl s Rule Wht you re finding: L Hopitl s Rule is used to find limits of the form f ( x) lim where lim f x x! c g x ( ) = or lim f ( x) = limg( x) = ". ( ) x! c limg( x) = 0 x! c x! c
More informationMATHS NOTES. SUBJECT: Maths LEVEL: Higher TEACHER: Aidan Roantree. The Institute of Education Topics Covered: Powers and Logs
MATHS NOTES The Institute of Eduction 06 SUBJECT: Mths LEVEL: Higher TEACHER: Aidn Rontree Topics Covered: Powers nd Logs About Aidn: Aidn is our senior Mths techer t the Institute, where he hs been teching
More informationConsequently, the temperature must be the same at each point in the cross section at x. Let:
HW 2 Comments: L1-3. Derive the het eqution for n inhomogeneous rod where the therml coefficients used in the derivtion of the het eqution for homogeneous rod now become functions of position x in the
More informationREGULARITY OF NONLOCAL MINIMAL CONES IN DIMENSION 2
EGULAITY OF NONLOCAL MINIMAL CONES IN DIMENSION 2 OVIDIU SAVIN AND ENICO VALDINOCI Abstrct. We show tht the only nonlocl s-miniml cones in 2 re the trivil ones for ll s 0, 1). As consequence we obtin tht
More informationOn the Generalized Weighted Quasi-Arithmetic Integral Mean 1
Int. Journl of Mth. Anlysis, Vol. 7, 2013, no. 41, 2039-2048 HIKARI Ltd, www.m-hikri.com http://dx.doi.org/10.12988/ijm.2013.3499 On the Generlized Weighted Qusi-Arithmetic Integrl Men 1 Hui Sun School
More informationIndefinite Integral. Chapter Integration - reverse of differentiation
Chpter Indefinite Integrl Most of the mthemticl opertions hve inverse opertions. The inverse opertion of differentition is clled integrtion. For exmple, describing process t the given moment knowing the
More informationThe Regulated and Riemann Integrals
Chpter 1 The Regulted nd Riemnn Integrls 1.1 Introduction We will consider severl different pproches to defining the definite integrl f(x) dx of function f(x). These definitions will ll ssign the sme vlue
More informationTravelling Profile Solutions For Nonlinear Degenerate Parabolic Equation And Contour Enhancement In Image Processing
Applied Mthemtics E-Notes 8(8) - c IN 67-5 Avilble free t mirror sites of http://www.mth.nthu.edu.tw/ men/ Trvelling Profile olutions For Nonliner Degenerte Prbolic Eqution And Contour Enhncement In Imge
More informationScientific notation is a way of expressing really big numbers or really small numbers.
Scientific Nottion (Stndrd form) Scientific nottion is wy of expressing relly big numbers or relly smll numbers. It is most often used in scientific clcultions where the nlysis must be very precise. Scientific
More informationImproper Integrals, and Differential Equations
Improper Integrls, nd Differentil Equtions October 22, 204 5.3 Improper Integrls Previously, we discussed how integrls correspond to res. More specificlly, we sid tht for function f(x), the region creted
More informationFUNCTIONS OF α-slow INCREASE
Bulletin of Mthemticl Anlysis nd Applictions ISSN: 1821-1291, URL: http://www.bmth.org Volume 4 Issue 1 (2012), Pges 226-230. FUNCTIONS OF α-slow INCREASE (COMMUNICATED BY HÜSEYIN BOR) YILUN SHANG Abstrct.
More informationJournal of Inequalities in Pure and Applied Mathematics
Journl o Inequlities in Pure nd Applied Mthemtics http://jipm.vu.edu.u/ Volume 6, Issue 4, Article 6, 2005 MROMORPHIC UNCTION THAT SHARS ON SMALL UNCTION WITH ITS DRIVATIV QINCAI ZHAN SCHOOL O INORMATION
More informationThomas 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 informationZero-Sum Magic Graphs and Their Null Sets
Zero-Sum Mgic Grphs nd Their Null Sets Ebrhim Slehi Deprtment of Mthemticl Sciences University of Nevd Ls Vegs Ls Vegs, NV 89154-4020. ebrhim.slehi@unlv.edu Abstrct For ny h N, grph G = (V, E) is sid to
More informationStuff You Need to Know From Calculus
Stuff You Need to Know From Clculus For the first time in the semester, the stuff we re doing is finlly going to look like clculus (with vector slnt, of course). This mens tht in order to succeed, you
More informationLYAPUNOV-TYPE INEQUALITIES FOR NONLINEAR SYSTEMS INVOLVING THE (p 1, p 2,..., p n )-LAPLACIAN
Electronic Journl of Differentil Equtions, Vol. 203 (203), No. 28, pp. 0. ISSN: 072-669. URL: http://ejde.mth.txstte.edu or http://ejde.mth.unt.edu ftp ejde.mth.txstte.edu LYAPUNOV-TYPE INEQUALITIES FOR
More informationSTEP FUNCTIONS, DELTA FUNCTIONS, AND THE VARIATION OF PARAMETERS FORMULA. 0 if t < 0, 1 if t > 0.
STEP FUNCTIONS, DELTA FUNCTIONS, AND THE VARIATION OF PARAMETERS FORMULA STEPHEN SCHECTER. The unit step function nd piecewise continuous functions The Heviside unit step function u(t) is given by if t
More informationHOMEWORK SOLUTIONS MATH 1910 Sections 7.9, 8.1 Fall 2016
HOMEWORK SOLUTIONS MATH 9 Sections 7.9, 8. Fll 6 Problem 7.9.33 Show tht for ny constnts M,, nd, the function yt) = )) t ) M + tnh stisfies the logistic eqution: y SOLUTION. Let Then nd Finlly, y = y M
More informationConservation Law. Chapter Goal. 6.2 Theory
Chpter 6 Conservtion Lw 6.1 Gol Our long term gol is to unerstn how mthemticl moels re erive. Here, we will stuy how certin quntity chnges with time in given region (sptil omin). We then first erive the
More informationQuantum Physics II (8.05) Fall 2013 Assignment 2
Quntum Physics II (8.05) Fll 2013 Assignment 2 Msschusetts Institute of Technology Physics Deprtment Due Fridy September 20, 2013 September 13, 2013 3:00 pm Suggested Reding Continued from lst week: 1.
More informationA. Limits - L Hopital s Rule. x c. x c. f x. g x. x c 0 6 = 1 6. D. -1 E. nonexistent. ln ( x 1 ) 1 x 2 1. ( x 2 1) 2. 2x x 1.
A. Limits - L Hopitl s Rule Wht you re finding: L Hopitl s Rule is used to find limits of the form f ( ) lim where lim f or lim f limg. c g = c limg( ) = c = c = c How to find it: Try nd find limits by
More informationrevised March 13, 2008 MONOTONIC SEQUENCES RELATED TO ZEROS OF BESSEL FUNCTIONS
revised Mrch 3, 008 MONOTONIC SEQUENCES RELATED TO ZEROS OF BESSEL FUNCTIONS LEE LORCH AND MARTIN E. MULDOON To the memory of Luigi Gtteschi Abstrct. In the course of their work on Slem numbers nd uniform
More informationA REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H. Thomas Shores Department of Mathematics University of Nebraska Spring 2007
A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H Thoms Shores Deprtment of Mthemtics University of Nebrsk Spring 2007 Contents Rtes of Chnge nd Derivtives 1 Dierentils 4 Are nd Integrls 5 Multivrite Clculus
More information7.2 The Definite Integral
7.2 The Definite Integrl the definite integrl In the previous section, it ws found tht if function f is continuous nd nonnegtive, then the re under the grph of f on [, b] is given by F (b) F (), where
More informationHeteroclinic cycles in coupled cell systems
Heteroclinic cycles in coupled cell systems Michel Field University of Houston, USA, & Imperil College, UK Reserch supported in prt by Leverhulme Foundtion nd NSF Grnt DMS-0071735 Some of the reserch reported
More informationf(x) dx, If one of these two conditions is not met, we call the integral improper. Our usual definition for the value for the definite integral
Improper Integrls Every time tht we hve evluted definite integrl such s f(x) dx, we hve mde two implicit ssumptions bout the integrl:. The intervl [, b] is finite, nd. f(x) is continuous on [, b]. If one
More informationA new algorithm for generating Pythagorean triples 1
A new lgorithm for generting Pythgoren triples 1 RH Dye 2 nd RWD Nicklls 3 The Mthemticl Gzette (1998; 82 (Mrch, No. 493, pp. 86 91 http://www.nicklls.org/dick/ppers/mths/pythgtriples1998.pdf 1 Introduction
More informationPOSITIVE SOLUTIONS FOR SINGULAR THREE-POINT BOUNDARY-VALUE PROBLEMS
Electronic Journl of Differentil Equtions, Vol. 27(27), No. 156, pp. 1 8. ISSN: 172-6691. URL: http://ejde.mth.txstte.edu or http://ejde.mth.unt.edu ftp ejde.mth.txstte.edu (login: ftp) POSITIVE SOLUTIONS
More informationKinematic Waves. These are waves which result from the conservation equation. t + I = 0. (2)
Introduction Kinemtic Wves These re wves which result from the conservtion eqution E t + I = 0 (1) where E represents sclr density field nd I, its outer flux. The one-dimensionl form of (1) is E t + I
More informationImproper Integrals. Type I Improper Integrals How do we evaluate an integral such as
Improper Integrls Two different types of integrls cn qulify s improper. The first type of improper integrl (which we will refer to s Type I) involves evluting n integrl over n infinite region. In the grph
More informationChapter 6 Techniques of Integration
MA Techniques of Integrtion Asst.Prof.Dr.Suprnee Liswdi Chpter 6 Techniques of Integrtion Recll: Some importnt integrls tht we hve lernt so fr. Tle of Integrls n+ n d = + C n + e d = e + C ( n ) d = ln
More informationSimple Gamma Rings With Involutions.
IOSR Journl of Mthemtics (IOSR-JM) ISSN: 2278-5728. Volume 4, Issue (Nov. - Dec. 2012), PP 40-48 Simple Gmm Rings With Involutions. 1 A.C. Pul nd 2 Md. Sbur Uddin 1 Deprtment of Mthemtics University of
More informationRELATIONS ON BI-PERIODIC JACOBSTHAL SEQUENCE
TJMM 10 018, No., 141-151 RELATIONS ON BI-PERIODIC JACOBSTHAL SEQUENCE S. UYGUN, H. KARATAS, E. AKINCI Abstrct. Following the new generliztion of the Jcobsthl sequence defined by Uygun nd Owusu 10 s ĵ
More informationNew Integral Inequalities for n-time Differentiable Functions with Applications for pdfs
Applied Mthemticl Sciences, Vol. 2, 2008, no. 8, 353-362 New Integrl Inequlities for n-time Differentible Functions with Applictions for pdfs Aristides I. Kechriniotis Technologicl Eductionl Institute
More informationIntroduction to the Calculus of Variations
Introduction to the Clculus of Vritions Jim Fischer Mrch 20, 1999 Abstrct This is self-contined pper which introduces fundmentl problem in the clculus of vritions, the problem of finding extreme vlues
More information1.9 C 2 inner variations
46 CHAPTER 1. INDIRECT METHODS 1.9 C 2 inner vritions So fr, we hve restricted ttention to liner vritions. These re vritions of the form vx; ǫ = ux + ǫφx where φ is in some liner perturbtion clss P, for
More informationLYAPUNOV-TYPE INEQUALITIES FOR THIRD-ORDER LINEAR DIFFERENTIAL EQUATIONS
Electronic Journl of Differentil Equtions, Vol. 2017 (2017), No. 139, pp. 1 14. ISSN: 1072-6691. URL: http://ejde.mth.txstte.edu or http://ejde.mth.unt.edu LYAPUNOV-TYPE INEQUALITIES FOR THIRD-ORDER LINEAR
More information1 Bending of a beam with a rectangular section
1 Bending of bem with rectngulr section x3 Episseur b M x 2 x x 1 2h M Figure 1 : Geometry of the bem nd pplied lod The bem in figure 1 hs rectngur section (thickness 2h, width b. The pplied lod is pure
More informationIntegration Techniques
Integrtion Techniques. Integrtion of Trigonometric Functions Exmple. Evlute cos x. Recll tht cos x = cos x. Hence, cos x Exmple. Evlute = ( + cos x) = (x + sin x) + C = x + 4 sin x + C. cos 3 x. Let u
More informationSample Problems for the Final of Math 121, Fall, 2005
Smple Problems for the Finl of Mth, Fll, 5 The following is collection of vrious types of smple problems covering sections.8,.,.5, nd.8 6.5 of the text which constitute only prt of the common Mth Finl.
More informationSection 5.1 #7, 10, 16, 21, 25; Section 5.2 #8, 9, 15, 20, 27, 30; Section 5.3 #4, 6, 9, 13, 16, 28, 31; Section 5.4 #7, 18, 21, 23, 25, 29, 40
Mth B Prof. Audrey Terrs HW # Solutions by Alex Eustis Due Tuesdy, Oct. 9 Section 5. #7,, 6,, 5; Section 5. #8, 9, 5,, 7, 3; Section 5.3 #4, 6, 9, 3, 6, 8, 3; Section 5.4 #7, 8,, 3, 5, 9, 4 5..7 Since
More informationNumerical Integration
Chpter 5 Numericl Integrtion Numericl integrtion is the study of how the numericl vlue of n integrl cn be found. Methods of function pproximtion discussed in Chpter??, i.e., function pproximtion vi the
More informationKRASNOSEL SKII TYPE FIXED POINT THEOREM FOR NONLINEAR EXPANSION
Fixed Point Theory, 13(2012), No. 1, 285-291 http://www.mth.ubbcluj.ro/ nodecj/sfptcj.html KRASNOSEL SKII TYPE FIXED POINT THEOREM FOR NONLINEAR EXPANSION FULI WANG AND FENG WANG School of Mthemtics nd
More informationMain topics for the Second Midterm
Min topics for the Second Midterm The Midterm will cover Sections 5.4-5.9, Sections 6.1-6.3, nd Sections 7.1-7.7 (essentilly ll of the mteril covered in clss from the First Midterm). Be sure to know the
More informationUnit 1 Exponentials and Logarithms
HARTFIELD PRECALCULUS UNIT 1 NOTES PAGE 1 Unit 1 Eponentils nd Logrithms (2) Eponentil Functions (3) The number e (4) Logrithms (5) Specil Logrithms (7) Chnge of Bse Formul (8) Logrithmic Functions (10)
More information( dg. ) 2 dt. + dt. dt j + dh. + dt. r(t) dt. Comparing this equation with the one listed above for the length of see that
Arc Length of Curves in Three Dimensionl Spce If the vector function r(t) f(t) i + g(t) j + h(t) k trces out the curve C s t vries, we cn mesure distnces long C using formul nerly identicl to one tht we
More informationProblems for HW X. C. Gwinn. November 30, 2009
Problems for HW X C. Gwinn November 30, 2009 These problems will not be grded. 1 HWX Problem 1 Suppose thn n object is composed of liner dielectric mteril, with constnt reltive permittivity ɛ r. The object
More informationApproximation of functions belonging to the class L p (ω) β by linear operators
ACTA ET COMMENTATIONES UNIVERSITATIS TARTUENSIS DE MATHEMATICA Volume 3, 9, Approximtion of functions belonging to the clss L p ω) β by liner opertors W lodzimierz Lenski nd Bogdn Szl Abstrct. We prove
More informationTHE EXISTENCE-UNIQUENESS THEOREM FOR FIRST-ORDER DIFFERENTIAL EQUATIONS.
THE EXISTENCE-UNIQUENESS THEOREM FOR FIRST-ORDER DIFFERENTIAL EQUATIONS RADON ROSBOROUGH https://intuitiveexplntionscom/picrd-lindelof-theorem/ This document is proof of the existence-uniqueness theorem
More informationMath 113 Fall Final Exam Review. 2. Applications of Integration Chapter 6 including sections and section 6.8
Mth 3 Fll 0 The scope of the finl exm will include: Finl Exm Review. Integrls Chpter 5 including sections 5. 5.7, 5.0. Applictions of Integrtion Chpter 6 including sections 6. 6.5 nd section 6.8 3. Infinite
More informationQuestion 1: Figure 1: Schematic
Question : θ Figure : Schemtic Consider chnnel of height with rectngulr cross section s shown in the sketch. A hinged plnk of length L < nd t n ngle θ is locted t the center of the chnnel. You my ssume
More informationThe Islamic University of Gaza Faculty of Engineering Civil Engineering Department. Numerical Analysis ECIV Chapter 11
The Islmic University of Gz Fculty of Engineering Civil Engineering Deprtment Numericl Anlysis ECIV 6 Chpter Specil Mtrices nd Guss-Siedel Associte Prof Mzen Abultyef Civil Engineering Deprtment, The Islmic
More informationMORE FUNCTION GRAPHING; OPTIMIZATION. (Last edited October 28, 2013 at 11:09pm.)
MORE FUNCTION GRAPHING; OPTIMIZATION FRI, OCT 25, 203 (Lst edited October 28, 203 t :09pm.) Exercise. Let n be n rbitrry positive integer. Give n exmple of function with exctly n verticl symptotes. Give
More informationSolutions of Klein - Gordan equations, using Finite Fourier Sine Transform
IOSR Journl of Mthemtics (IOSR-JM) e-issn: 2278-5728, p-issn: 2319-765X. Volume 13, Issue 6 Ver. IV (Nov. - Dec. 2017), PP 19-24 www.iosrjournls.org Solutions of Klein - Gordn equtions, using Finite Fourier
More informationReview of Calculus, cont d
Jim Lmbers MAT 460 Fll Semester 2009-10 Lecture 3 Notes These notes correspond to Section 1.1 in the text. Review of Clculus, cont d Riemnn Sums nd the Definite Integrl There re mny cses in which some
More informationGeneration of Lyapunov Functions by Neural Networks
WCE 28, July 2-4, 28, London, U.K. Genertion of Lypunov Functions by Neurl Networks Nvid Noroozi, Pknoosh Krimghee, Ftemeh Sfei, nd Hmed Jvdi Abstrct Lypunov function is generlly obtined bsed on tril nd
More informationMathematics. Area under Curve.
Mthemtics Are under Curve www.testprepkrt.com Tle of Content 1. Introduction.. Procedure of Curve Sketching. 3. Sketching of Some common Curves. 4. Are of Bounded Regions. 5. Sign convention for finding
More informationThe presentation of a new type of quantum calculus
DOI.55/tmj-27-22 The presenttion of new type of quntum clculus Abdolli Nemty nd Mehdi Tourni b Deprtment of Mthemtics, University of Mzndrn, Bbolsr, Irn E-mil: nmty@umz.c.ir, mehdi.tourni@gmil.com b Abstrct
More informationSOME INTEGRAL INEQUALITIES OF GRÜSS TYPE
RGMIA Reserch Report Collection, Vol., No., 998 http://sci.vut.edu.u/ rgmi SOME INTEGRAL INEQUALITIES OF GRÜSS TYPE S.S. DRAGOMIR Astrct. Some clssicl nd new integrl inequlities of Grüss type re presented.
More informationBy Ken Standfield, Director Research & Development, KNOWCORP
1 THE NORMAL DISTRIBUTION METHOD ARTICLE NO.: 10080 By Ken Stndfield, Director Reserch & Development, KNOWCORP http://www.knowcorp.com Emil: ks@knowcorp.com INTRODUCTION The following methods hve been
More informationEmission of K -, L - and M - Auger Electrons from Cu Atoms. Abstract
Emission of K -, L - nd M - uger Electrons from Cu toms Mohmed ssd bdel-rouf Physics Deprtment, Science College, UEU, l in 17551, United rb Emirtes ssd@ueu.c.e bstrct The emission of uger electrons from
More informationRemark on boundary value problems arising in Ginzburg-Landau theory
Remrk on boundry vlue problems rising in Ginzburg-Lndu theory ANITA KIRICHUKA Dugvpils University Vienibs Street 13, LV-541 Dugvpils LATVIA nit.kiricuk@du.lv FELIX SADYRBAEV University of Ltvi Institute
More informationSolutions to Problems in Merzbacher, Quantum Mechanics, Third Edition. Chapter 7
Solutions to Problems in Merzbcher, Quntum Mechnics, Third Edition Homer Reid April 5, 200 Chpter 7 Before strting on these problems I found it useful to review how the WKB pproimtion works in the first
More informationDIRECT CURRENT CIRCUITS
DRECT CURRENT CUTS ELECTRC POWER Consider the circuit shown in the Figure where bttery is connected to resistor R. A positive chrge dq will gin potentil energy s it moves from point to point b through
More informationInternational ejournals
Avilble online t www.interntionlejournls.com ISSN 0976-4 Interntionl ejournls Interntionl ejournl of Mthemtics nd Engineering 93 (0) 85 855 RADIAL VIBRATIONS IN MICROPOLAR THIN SPHERICAL SHELL R.Srinivs*,
More informationMAC-solutions of the nonexistent solutions of mathematical physics
Proceedings of the 4th WSEAS Interntionl Conference on Finite Differences - Finite Elements - Finite Volumes - Boundry Elements MAC-solutions of the nonexistent solutions of mthemticl physics IGO NEYGEBAUE
More information