û s L u t 0 s a ; i.e., û s 0

Size: px
Start display at page:

Download "û s L u t 0 s a ; i.e., û s 0"

Transcription

1 Te Hille-Yosida Teorem We ave seen a wen e absrac IVP is uniquely solvable en e soluion operaor defines a semigroup of bounded operaors. We ave no ye discussed e condiions under wic e IVP is uniquely solvable. However, i is clear a S() is some sor of generalized version of epa were A is an unbounded operaor. To see is connecion beween S() and e eponenial of A, consider e scalar equaion u au, u0 u 0. Ten u Su 0 e a u 0. In is simple siuaion, we ave also i.e., ûs Lu 0 e s e a u 0 d u 0 sa ; ûs 0 e s Su 0 d sa 1 u 0 1 s u 0. We will see is resul appear again in a more general seing. An eample more general an is is provided by e sysem of linear ODE s X AX X 0 X 0, were A denoes an n by n symmeric mari of consans. Ten e soluion o is sysem is given by X n k1 X 0,V k e k V k were k,v k denoe e eigenvalues and normalized eigenvecors of A. Ten X n k1 n k1 n k1 X 0,V k X 0,V k X 0,V k k m m0 m! V n k k1 m m0 m! Am V n k k1 e A V n k e A k1 X 0,V k X 0,V k m m0 m! k m V k A m m0 m! X 0,V k V k e A X 0. We observe a e A A m and, in fac, wen A is a bounded linear operaor on a m0 m! Hilber space H (as is e case in is eample for H R 1 ) en we can epec a S lim M M m0 For any fied value of, we ave S M S N LH M mn A m m! m m! A m LH. lim M S M. 0 as M,N so e meaning of S lim M S M is o be undersood as a limi in e complee normed V k 1

2 linear space, LH. Clearly e limi S saisfies S0 I and S SS since ese equaliies old for every S M. Also, an easy calculaion wi e series sows a and S I LH A LH e A L S I A LH A LH S I LH. We say, in is case, a e semigroup S is uniformly coninuous on H. Of course, all is is rue under e assumpion a A is bounded. On e oer and wen A is unbounded, since DA n1 DA n, i may be a e domain in e infinie sum srinks o zero. We could make use of e fac a Su 0 solves o wrie u Au, u0 u 0, u u Au IAu from wic we find u I n A n u 0 n, n 1,2,.... Since we are again ieraing an unbounded operaor, e difficuly of e srinking domain as no disappeared. However, if we wrie en u u Au or IAu u, u IA 1 u and u I n A n u 0 so in is case we are ieraing a bounded operaor, IA 1. Te poin of is discussion is jus a i is plausible a we will be able o find a meaningful definiion for e A even wen A is unbounded bu we mus be careful ow we do i. Of course, ere mus also be some resricions on A. We will now sae and prove a eorem giving a se of necessary and sufficien condiions on A in order a A generaes a C 0 semigroup. Teorem (Hille-Yosida) Te following saemens are equivalen: 1. A : D A H generaes a C 0 semigroup of conracions on H 2. a) A is closed and densely defined b) 0 A : D A H is one o one and ono wi A 1 LH 1 Proof- We already sowed in a previous lemma a if B A, generaes a C 0 semigroup, en B A is closed and densely defined. We also found a 2

3 i Su 0 u 0 0 S Bu0 d u 0 D A D B ii S 0 B S d H. Now, for any 0, T e S is a C 0 semigroup of conracions a is generaed by B I, D BI D B. Apply e resuls i,ii o T o ge Tu 0 u 0 e Su 0 u 0 0 e SB Iu 0 d u 0 D A D B and T e S 0 e B I S d H. Now le and use e fac a A B is closed o conclude u 0 0 e SIBu 0 d u 0 D A D B 0 IB e S d IB 0 e S d H. Ta is, u 0 D A u 0 0 e SIAu 0 d i.e., IA is 1-1 H IA 0 e S d IA z, z D A i.e., IA is ono Finally, implies IA 1 0 e S d IA 1 H 0 e d S H 0 e d H 1 H Tis proves a 2)a),b) are necessary condiions if A is o generae a C 0 -semigroup of conracions. Noe a and IA 1 0 e S d LS, IA 1 H 1 H wic generalizes e analogous resul observed earlier for e scalar equaion. Now we suppose A saisfies 2)a),b) and we will sow A generaes a C 0 -semigroup of conracions, S(). We will accomplis is by approimaing A by a bounded linear operaor A and sowing A LH A A in H as D A e A S in LH as H. Now if A saisfies 2a) and 2b) en IA : D A H is bijecive for 0 so a IA 1 eiss. Ten we may define A : AIA 1 a bounded operaor wic will be sown o be an approimaion o A. Lemma 1 Under e condiions 2a) and 2b), e operaor A LH, 0 and 3

4 a. A I 2 IA 1 b. A H A H D A c. A A in H as D A Proof of lemma- For D A wrie AIA 1 I IA A 2 A 2. i.e., A I z 2 IA 1 z z H or A z z 2 IA 1 z z H. For D A, 2b) implies A H AIA 1 A H H. If we combine ese wo resuls, we ge IA 1 zz 1 H A z H 1 A z H z D A from wic i follows a IA 1 z z in H as z D A. Bu D A and IA 1 is uniformly bounded on H by 2b) ence, by coninuiy, IA 1 z z in H as z H. Ten A IA 1 A A in H as D B. is dense in H Since A LH, 0 we can define S e A n n A n0 n! for 0, 0. Lemma 2 Under e condiions 2a) and 2b), for eac 0, S : 0 is a srongly coninuous semigroup of conracions on H wi generaor equal o A. For eac D A S converges in H as. Moreover, e convergence is uniform in on all bounded inervals 0,T. Proof of lemma- Lemma 1a) implies S e A e e 2 A 1 resul of ypoesis 2b) S LH e e 2 A 1 LH e e 1. and en we ave as a Tus S is a srongly coninuous semigroup of conracions on H. Also and Ten d S d A S S S 0 d S ds ss s ds S 0 ss sa A ds. S S H A A H 0,, 0, D A. 4

5 i.e., S is a Caucy sequence in H, uniformly in 0,T. To complee e proof of e eorem, observe a eac S is a conracion and D A dense in H, so e limi S S in H as, 0 eends o all in H, and olds uniformly in 0,T. Since every S is a srongly coninuous conracion, clearly S LH is a conracion and in addiion, since e convergence is uniform in on bounded inervals, 0,T, i follows a S is srongly coninuous. Te semigroup ideniy also olds since S S S S ec. Ten S is a srongly coninuous semigroup of conracions on H. Now for D A and 0, and as, is becomes S 0 S A d 0, S 0 SAd and is implies a e generaor B of S() is an eension of A. Bu we ave assumed a IA is ono and since B is e generaor of S(), IB is one o one. Ten IBD A IAD A H, wic is o say, IB 1 H D A or B A. Now we can prove: Teorem- Eisence and Uniqueness for e IVP Suppose A generaes S, a srongly coninuous semigroup of conracions on H. Ten for any u 0 D A, u Su 0 saisfies i u C 0 0,; H C 1 0,; H, ii u Au 0, 0, iii u0 u 0 and u is unique. Proof- We ave already sown a for S, a srongly coninuous semigroup and u 0 D A, Su 0 saisfies i) and iii), and moreover, d Su d 0 BSu 0 ASu 0 Te Hille-Yosida eorem sows a if A en u 0 D A generaes a srongly coninuous semigroup, is or Tis implies IA 1 1 H H 0, H, 2 z 2 2 H IAz H 0, z D A. 2Az,z H A z H 2 0, z D A 5

6 or Az,z H 0 z D A. Ten A is accreive and u Su 0 is unique. Corollary- Suppose A generaes S, a srongly coninuous semigroup of conracions on H. Ten for any u 0 D A,and every f C 1 0,T; H, e unique soluion of u Au f, 0 T, u0 u 0, is given by u Su 0 0 S sfsds. Proof- Le g 0 S sfsds. Ten g0 0 and g g 0 S sfsds 0 S sfsds Dividing by 0 and leing 0, we find 0 Sf ds0 Sf ds 0 Sf f ds Sf ds g 0 Sf dssf0, wic sows a g is differeniable. Bu, and, as 0, g g 1 0 S I S I S sfsds 0 S sfsds 0 S sfsds 1 S sfsds g 1 S sfsds g g g and 1 S sfsds S0 f f. Since ese limis eis, i follows a e limi lim 0 S I g eiss and equals Ag. Ten we conclude g f Ag, and g saifies g Ag f, 0,T and g0 0. Evidenly, u Su 0 g solves e inomogeneous IVP. Tis soluion is unique since if ere are wo suc soluions, eir difference saisfies e IVP wi f 0, u 0 0, and en is difference is zero since A is accreive. 6

7 Eamples- 1. Consider e Banac space X L 1 0, wi A d d, D A u X : Au X.Tis corresponds o solving e following iniial value problem, u Au u, u, 0, u,0 u 0 D A Noe a if u and u Au bo belong o X, en u 0 as. Ten i follows a for 0, and u D A IAu u u 0 implies u 0; i.e., u Ce and u 0 as if and only if C 0. Ten IA 1 eiss. In fac, IAu v u Ce 0 e y vy dy, were u D A if C 0 e y vy dy. Ten we ave, u e y vy dy 0 e z v z dz IA 1 v. Noe a IA 1 v X e y 0 vy dy d 0 e y vy dyd y 0 e y 0 vy d dy 1 0 1e y vy dy 1 v X If we ake A o be a closed eension of e indicaed operaor en we ave an operaor a saisfies e ypoeses of e Hille Yosida eorem and i follows a -A generaes a C 0 semigroup of conracions on X. Noe a e equaion a e boom of page 3 implies IA 1 v 0 e v d 0 e Sv d, from wic i follows a for, 0, Sv v for v X. Ten e soluion of is given by speed one. u Au u, u, 0, u,0 u 0 D A u, Su 0 u 0. Tis is a wave ravelling from rig o lef wi 2. Consider e Banac space X L 1 0, wi A d d, D A u X : Au X, u0 0.Tis corresponds o solving e following iniial-boundary value problem, u Au u, u, 0, u,0 u 0 D A u0, 0, 0, Ten i follows a for 0, and u D A IAu u u 0 implies u 0 7

8 since u Ce and u0 0 implies C 0. Ten IA 1 eiss. In fac, IAu v, u0 0 u e y 0 vy dy IA 1 v. Ten and IA 1 v X e y 0 0 vy dy d 1 v X IA 1 v e y 0 vy dy e 0 Sv d. Bu 0 e y vy dy 0 e v d ence 0 e v d 0 e Sv d. Ten Sv v if 0 if 0, and e soluion of e iniial boundary value problem is given by u, Su 0 u 0 if 0 0 if Tis is a wave ravelling from lef o rig wi speed one. 8

Comparison between the Discrete and Continuous Time Models

Comparison between the Discrete and Continuous Time Models Comparison beween e Discree and Coninuous Time Models D. Sulsky June 21, 2012 1 Discree o Coninuous Recall e discree ime model Î = AIS Ŝ = S Î. Tese equaions ell us ow e populaion canges from one day o

More information

MATH 351 Solutions: TEST 3-B 23 April 2018 (revised)

MATH 351 Solutions: TEST 3-B 23 April 2018 (revised) MATH Soluions: TEST -B April 8 (revised) Par I [ ps each] Each of he following asserions is false. Give an eplici couner-eample o illusrae his.. If H: (, ) R is coninuous, hen H is unbounded. Le H() =

More information

On two general nonlocal differential equations problems of fractional orders

On two general nonlocal differential equations problems of fractional orders Malaya Journal of Maemaik, Vol. 6, No. 3, 478-482, 28 ps://doi.org/.26637/mjm63/3 On wo general nonlocal differenial equaions problems of fracional orders Abd El-Salam S. A. * and Gaafar F. M.2 Absrac

More information

Additional Exercises for Chapter What is the slope-intercept form of the equation of the line given by 3x + 5y + 2 = 0?

Additional Exercises for Chapter What is the slope-intercept form of the equation of the line given by 3x + 5y + 2 = 0? ddiional Eercises for Caper 5 bou Lines, Slopes, and Tangen Lines 39. Find an equaion for e line roug e wo poins (, 7) and (5, ). 4. Wa is e slope-inercep form of e equaion of e line given by 3 + 5y +

More information

Method For Solving Fuzzy Integro-Differential Equation By Using Fuzzy Laplace Transformation

Method For Solving Fuzzy Integro-Differential Equation By Using Fuzzy Laplace Transformation INERNAIONAL JOURNAL OF SCIENIFIC & ECHNOLOGY RESEARCH VOLUME 3 ISSUE 5 May 4 ISSN 77-866 Meod For Solving Fuzzy Inegro-Differenial Equaion By Using Fuzzy Laplace ransformaion Manmoan Das Danji alukdar

More information

Fuzzy Laplace Transforms for Derivatives of Higher Orders

Fuzzy Laplace Transforms for Derivatives of Higher Orders Maemaical Teory and Modeling ISSN -58 (Paper) ISSN 5-5 (Online) Vol, No, 1 wwwiiseorg Fuzzy Laplace Transforms for Derivaives of Higer Orders Absrac Amal K Haydar 1 *and Hawrra F Moammad Ali 1 College

More information

t is a basis for the solution space to this system, then the matrix having these solutions as columns, t x 1 t, x 2 t,... x n t x 2 t...

t is a basis for the solution space to this system, then the matrix having these solutions as columns, t x 1 t, x 2 t,... x n t x 2 t... Mah 228- Fri Mar 24 5.6 Marix exponenials and linear sysems: The analogy beween firs order sysems of linear differenial equaions (Chaper 5) and scalar linear differenial equaions (Chaper ) is much sronger

More information

ON DIFFERENTIABILITY OF ABSOLUTELY MONOTONE SET-VALUED FUNCTIONS

ON DIFFERENTIABILITY OF ABSOLUTELY MONOTONE SET-VALUED FUNCTIONS Folia Maemaica Vol. 16, No. 1, pp. 25 30 Aca Universiais Lodziensis c 2009 for Universiy of Lódź Press ON DIFFERENTIABILITY OF ABSOLUTELY MONOTONE SET-VALUED FUNCTIONS ANDRZEJ SMAJDOR Absrac. We prove

More information

TMA4329 Intro til vitensk. beregn. V2017

TMA4329 Intro til vitensk. beregn. V2017 Norges eknisk naurvienskapelige universie Insiu for Maemaiske Fag TMA439 Inro il viensk. beregn. V7 ving 6 [S]=T. Sauer, Numerical Analsis, Second Inernaional Ediion, Pearson, 4 Teorioppgaver Oppgave 6..3,

More information

F (u) du. or f(t) = t

F (u) du. or f(t) = t 8.3 Topic 9: Impulses and dela funcions. Auor: Jeremy Orloff Reading: EP 4.6 SN CG.3-4 pp.2-5. Warmup discussion abou inpu Consider e rae equaion d + k = f(). To be specific, assume is in unis of d kilograms.

More information

Approximating the Powers with Large Exponents and Bases Close to Unit, and the Associated Sequence of Nested Limits

Approximating the Powers with Large Exponents and Bases Close to Unit, and the Associated Sequence of Nested Limits In. J. Conemp. Ma. Sciences Vol. 6 211 no. 43 2135-2145 Approximaing e Powers wi Large Exponens and Bases Close o Uni and e Associaed Sequence of Nesed Limis Vio Lampre Universiy of Ljubljana Slovenia

More information

arxiv: v1 [math.pr] 19 Feb 2011

arxiv: v1 [math.pr] 19 Feb 2011 A NOTE ON FELLER SEMIGROUPS AND RESOLVENTS VADIM KOSTRYKIN, JÜRGEN POTTHOFF, AND ROBERT SCHRADER ABSTRACT. Various equivalen condiions for a semigroup or a resolven generaed by a Markov process o be of

More information

4. Advanced Stability Theory

4. Advanced Stability Theory Applied Nonlinear Conrol Nguyen an ien - 4 4 Advanced Sabiliy heory he objecive of his chaper is o presen sabiliy analysis for non-auonomous sysems 41 Conceps of Sabiliy for Non-Auonomous Sysems Equilibrium

More information

Finish reading Chapter 2 of Spivak, rereading earlier sections as necessary. handout and fill in some missing details!

Finish reading Chapter 2 of Spivak, rereading earlier sections as necessary. handout and fill in some missing details! MAT 257, Handou 6: Ocober 7-2, 20. I. Assignmen. Finish reading Chaper 2 of Spiva, rereading earlier secions as necessary. handou and fill in some missing deails! II. Higher derivaives. Also, read his

More information

The Quantum Theory of Atoms and Molecules: The Schrodinger equation. Hilary Term 2008 Dr Grant Ritchie

The Quantum Theory of Atoms and Molecules: The Schrodinger equation. Hilary Term 2008 Dr Grant Ritchie e Quanum eory of Aoms and Molecules: e Scrodinger equaion Hilary erm 008 Dr Gran Ricie An equaion for maer waves? De Broglie posulaed a every paricles as an associaed wave of waveleng: / p Wave naure of

More information

t 2 B F x,t n dsdt t u x,t dxdt

t 2 B F x,t n dsdt t u x,t dxdt Evoluion Equaions For 0, fixed, le U U0, where U denoes a bounded open se in R n.suppose ha U is filled wih a maerial in which a conaminan is being ranspored by various means including diffusion and convecion.

More information

Mathematics Paper- II

Mathematics Paper- II R Prerna Tower, Road No -, Conracors Area, Bisupur, Jamsedpur - 8, Tel - (65789, www.prernaclasses.com Maemaics Paper- II Jee Advance PART III - MATHEMATICS SECTION - : (One or more opions correc Type

More information

KEY. Math 334 Midterm I Fall 2008 sections 001 and 003 Instructor: Scott Glasgow

KEY. Math 334 Midterm I Fall 2008 sections 001 and 003 Instructor: Scott Glasgow 1 KEY Mah 4 Miderm I Fall 8 secions 1 and Insrucor: Sco Glasgow Please do NOT wrie on his eam. No credi will be given for such work. Raher wrie in a blue book, or on our own paper, preferabl engineering

More information

ln y t 2 t c where c is an arbitrary real constant

ln y t 2 t c where c is an arbitrary real constant SOLUTION TO THE PROBLEM.A y y subjec o condiion y 0 8 We recognize is as a linear firs order differenial equaion wi consan coefficiens. Firs we sall find e general soluion, and en we sall find one a saisfies

More information

Lecture 20: Riccati Equations and Least Squares Feedback Control

Lecture 20: Riccati Equations and Least Squares Feedback Control 34-5 LINEAR SYSTEMS Lecure : Riccai Equaions and Leas Squares Feedback Conrol 5.6.4 Sae Feedback via Riccai Equaions A recursive approach in generaing he marix-valued funcion W ( ) equaion for i for he

More information

1 Solutions to selected problems

1 Solutions to selected problems 1 Soluions o seleced problems 1. Le A B R n. Show ha in A in B bu in general bd A bd B. Soluion. Le x in A. Then here is ɛ > 0 such ha B ɛ (x) A B. This shows x in B. If A = [0, 1] and B = [0, 2], hen

More information

ODEs II, Lecture 1: Homogeneous Linear Systems - I. Mike Raugh 1. March 8, 2004

ODEs II, Lecture 1: Homogeneous Linear Systems - I. Mike Raugh 1. March 8, 2004 ODEs II, Lecure : Homogeneous Linear Sysems - I Mike Raugh March 8, 4 Inroducion. In he firs lecure we discussed a sysem of linear ODEs for modeling he excreion of lead from he human body, saw how o ransform

More information

Math Week 14 April 16-20: sections first order systems of linear differential equations; 7.4 mass-spring systems.

Math Week 14 April 16-20: sections first order systems of linear differential equations; 7.4 mass-spring systems. Mah 2250-004 Week 4 April 6-20 secions 7.-7.3 firs order sysems of linear differenial equaions; 7.4 mass-spring sysems. Mon Apr 6 7.-7.2 Sysems of differenial equaions (7.), and he vecor Calculus we need

More information

02. MOTION. Questions and Answers

02. MOTION. Questions and Answers CLASS-09 02. MOTION Quesions and Answers PHYSICAL SCIENCE 1. Se moves a a consan speed in a consan direcion.. Reprase e same senence in fewer words using conceps relaed o moion. Se moves wi uniform velociy.

More information

Solutions to Assignment 1

Solutions to Assignment 1 MA 2326 Differenial Equaions Insrucor: Peronela Radu Friday, February 8, 203 Soluions o Assignmen. Find he general soluions of he following ODEs: (a) 2 x = an x Soluion: I is a separable equaion as we

More information

SMT 2014 Calculus Test Solutions February 15, 2014 = 3 5 = 15.

SMT 2014 Calculus Test Solutions February 15, 2014 = 3 5 = 15. SMT Calculus Tes Soluions February 5,. Le f() = and le g() =. Compue f ()g (). Answer: 5 Soluion: We noe ha f () = and g () = 6. Then f ()g () =. Plugging in = we ge f ()g () = 6 = 3 5 = 5.. There is a

More information

An Introduction to Malliavin calculus and its applications

An Introduction to Malliavin calculus and its applications An Inroducion o Malliavin calculus and is applicaions Lecure 5: Smoohness of he densiy and Hörmander s heorem David Nualar Deparmen of Mahemaics Kansas Universiy Universiy of Wyoming Summer School 214

More information

Higher Order Difference Schemes for Heat Equation

Higher Order Difference Schemes for Heat Equation Available a p://pvau.edu/aa Appl. Appl. Ma. ISSN: 9-966 Vol., Issue (Deceber 009), pp. 6 7 (Previously, Vol., No. ) Applicaions and Applied Maeaics: An Inernaional Journal (AAM) Higer Order Difference

More information

On Gronwall s Type Integral Inequalities with Singular Kernels

On Gronwall s Type Integral Inequalities with Singular Kernels Filoma 31:4 (217), 141 149 DOI 1.2298/FIL17441A Published by Faculy of Sciences and Mahemaics, Universiy of Niš, Serbia Available a: hp://www.pmf.ni.ac.rs/filoma On Gronwall s Type Inegral Inequaliies

More information

Review - Quiz # 1. 1 g(y) dy = f(x) dx. y x. = u, so that y = xu and dy. dx (Sometimes you may want to use the substitution x y

Review - Quiz # 1. 1 g(y) dy = f(x) dx. y x. = u, so that y = xu and dy. dx (Sometimes you may want to use the substitution x y Review - Quiz # 1 (1) Solving Special Tpes of Firs Order Equaions I. Separable Equaions (SE). d = f() g() Mehod of Soluion : 1 g() d = f() (The soluions ma be given implicil b he above formula. Remember,

More information

ANALYSIS OF LINEAR AND NONLINEAR EQUATION FOR OSCILLATING MOVEMENT

ANALYSIS OF LINEAR AND NONLINEAR EQUATION FOR OSCILLATING MOVEMENT УД 69486 Anna Macurová arol Vasilko Faculy of Manufacuring Tecnologies Tecnical Universiy of ošice Prešov Slovakia ANALYSIS OF LINEAR AND NONLINEAR EQUATION FOR OSCILLATING MOVEMENT Macurová Anna Vasilko

More information

Concourse Math Spring 2012 Worked Examples: Matrix Methods for Solving Systems of 1st Order Linear Differential Equations

Concourse Math Spring 2012 Worked Examples: Matrix Methods for Solving Systems of 1st Order Linear Differential Equations Concourse Mah 80 Spring 0 Worked Examples: Marix Mehods for Solving Sysems of s Order Linear Differenial Equaions The Main Idea: Given a sysem of s order linear differenial equaions d x d Ax wih iniial

More information

MATH 4330/5330, Fourier Analysis Section 6, Proof of Fourier s Theorem for Pointwise Convergence

MATH 4330/5330, Fourier Analysis Section 6, Proof of Fourier s Theorem for Pointwise Convergence MATH 433/533, Fourier Analysis Secion 6, Proof of Fourier s Theorem for Poinwise Convergence Firs, some commens abou inegraing periodic funcions. If g is a periodic funcion, g(x + ) g(x) for all real x,

More information

Announcements: Warm-up Exercise:

Announcements: Warm-up Exercise: Fri Apr 13 7.1 Sysems of differenial equaions - o model muli-componen sysems via comparmenal analysis hp//en.wikipedia.org/wiki/muli-comparmen_model Announcemens Warm-up Exercise Here's a relaively simple

More information

Undetermined coefficients for local fractional differential equations

Undetermined coefficients for local fractional differential equations Available online a www.isr-publicaions.com/jmcs J. Mah. Compuer Sci. 16 (2016), 140 146 Research Aricle Undeermined coefficiens for local fracional differenial equaions Roshdi Khalil a,, Mohammed Al Horani

More information

Math 334 Fall 2011 Homework 11 Solutions

Math 334 Fall 2011 Homework 11 Solutions Dec. 2, 2 Mah 334 Fall 2 Homework Soluions Basic Problem. Transform he following iniial value problem ino an iniial value problem for a sysem: u + p()u + q() u g(), u() u, u () v. () Soluion. Le v u. Then

More information

DISCRETE GRONWALL LEMMA AND APPLICATIONS

DISCRETE GRONWALL LEMMA AND APPLICATIONS DISCRETE GRONWALL LEMMA AND APPLICATIONS JOHN M. HOLTE MAA NORTH CENTRAL SECTION MEETING AT UND 24 OCTOBER 29 Gronwall s lemma saes an inequaliy ha is useful in he heory of differenial equaions. Here is

More information

2. Nonlinear Conservation Law Equations

2. Nonlinear Conservation Law Equations . Nonlinear Conservaion Law Equaions One of he clear lessons learned over recen years in sudying nonlinear parial differenial equaions is ha i is generally no wise o ry o aack a general class of nonlinear

More information

Solutions of Sample Problems for Third In-Class Exam Math 246, Spring 2011, Professor David Levermore

Solutions of Sample Problems for Third In-Class Exam Math 246, Spring 2011, Professor David Levermore Soluions of Sample Problems for Third In-Class Exam Mah 6, Spring, Professor David Levermore Compue he Laplace ransform of f e from is definiion Soluion The definiion of he Laplace ransform gives L[f]s

More information

Module 2 F c i k c s la l w a s o s f dif di fusi s o i n

Module 2 F c i k c s la l w a s o s f dif di fusi s o i n Module Fick s laws of diffusion Fick s laws of diffusion and hin film soluion Adolf Fick (1855) proposed: d J α d d d J (mole/m s) flu (m /s) diffusion coefficien and (mole/m 3 ) concenraion of ions, aoms

More information

ES.1803 Topic 22 Notes Jeremy Orloff

ES.1803 Topic 22 Notes Jeremy Orloff ES.83 Topic Noes Jeremy Orloff Fourier series inroducion: coninued. Goals. Be able o compue he Fourier coefficiens of even or odd periodic funcion using he simplified formulas.. Be able o wrie and graph

More information

u(x) = e x 2 y + 2 ) Integrate and solve for x (1 + x)y + y = cos x Answer: Divide both sides by 1 + x and solve for y. y = x y + cos x

u(x) = e x 2 y + 2 ) Integrate and solve for x (1 + x)y + y = cos x Answer: Divide both sides by 1 + x and solve for y. y = x y + cos x . 1 Mah 211 Homework #3 February 2, 2001 2.4.3. y + (2/x)y = (cos x)/x 2 Answer: Compare y + (2/x) y = (cos x)/x 2 wih y = a(x)x + f(x)and noe ha a(x) = 2/x. Consequenly, an inegraing facor is found wih

More information

Let us start with a two dimensional case. We consider a vector ( x,

Let us start with a two dimensional case. We consider a vector ( x, Roaion marices We consider now roaion marices in wo and hree dimensions. We sar wih wo dimensions since wo dimensions are easier han hree o undersand, and one dimension is a lile oo simple. However, our

More information

System of Linear Differential Equations

System of Linear Differential Equations Sysem of Linear Differenial Equaions In "Ordinary Differenial Equaions" we've learned how o solve a differenial equaion for a variable, such as: y'k5$e K2$x =0 solve DE yx = K 5 2 ek2 x C_C1 2$y''C7$y

More information

Hamilton- J acobi Equation: Weak S olution We continue the study of the Hamilton-Jacobi equation:

Hamilton- J acobi Equation: Weak S olution We continue the study of the Hamilton-Jacobi equation: M ah 5 7 Fall 9 L ecure O c. 4, 9 ) Hamilon- J acobi Equaion: Weak S oluion We coninue he sudy of he Hamilon-Jacobi equaion: We have shown ha u + H D u) = R n, ) ; u = g R n { = }. ). In general we canno

More information

THE CATCH PROCESS (continued)

THE CATCH PROCESS (continued) THE CATCH PROCESS (coninued) In our previous derivaion of e relaionsip beween CPUE and fis abundance we assumed a all e fising unis and all e fis were spaially omogeneous. Now we explore wa appens wen

More information

Asymptotic instability of nonlinear differential equations

Asymptotic instability of nonlinear differential equations Elecronic Journal of Differenial Equaions, Vol. 1997(1997), No. 16, pp. 1 7. ISSN: 172-6691. URL: hp://ejde.mah.sw.edu or hp://ejde.mah.un.edu fp (login: fp) 147.26.13.11 or 129.12.3.113 Asympoic insabiliy

More information

Convergence of the Neumann series in higher norms

Convergence of the Neumann series in higher norms Convergence of he Neumann series in higher norms Charles L. Epsein Deparmen of Mahemaics, Universiy of Pennsylvania Version 1.0 Augus 1, 003 Absrac Naural condiions on an operaor A are given so ha he Neumann

More information

Our main purpose in this section is to undertake an examination of the stock

Our main purpose in this section is to undertake an examination of the stock 3. Caial gains ax and e sock rice volailiy Our main urose in is secion is o underake an examinaion of e sock rice volailiy by considering ow e raional seculaor s olding canges afer e ax rae on caial gains

More information

Representation of Stochastic Process by Means of Stochastic Integrals

Representation of Stochastic Process by Means of Stochastic Integrals Inernaional Journal of Mahemaics Research. ISSN 0976-5840 Volume 5, Number 4 (2013), pp. 385-397 Inernaional Research Publicaion House hp://www.irphouse.com Represenaion of Sochasic Process by Means of

More information

Existence of multiple positive periodic solutions for functional differential equations

Existence of multiple positive periodic solutions for functional differential equations J. Mah. Anal. Appl. 325 (27) 1378 1389 www.elsevier.com/locae/jmaa Exisence of muliple posiive periodic soluions for funcional differenial equaions Zhijun Zeng a,b,,libi a, Meng Fan a a School of Mahemaics

More information

Semigroups of Linear Operators

Semigroups of Linear Operators Semigroups of Linear Operaors Sheree L. LeVarge December 4, 23 Absrac This paper will serve as a basic inroducion o semigroups of linear operaors. I will define a semigroup in he conex of a physical problem

More information

Chapter 6. Systems of First Order Linear Differential Equations

Chapter 6. Systems of First Order Linear Differential Equations Chaper 6 Sysems of Firs Order Linear Differenial Equaions We will only discuss firs order sysems However higher order sysems may be made ino firs order sysems by a rick shown below We will have a sligh

More information

Math 10B: Mock Mid II. April 13, 2016

Math 10B: Mock Mid II. April 13, 2016 Name: Soluions Mah 10B: Mock Mid II April 13, 016 1. ( poins) Sae, wih jusificaion, wheher he following saemens are rue or false. (a) If a 3 3 marix A saisfies A 3 A = 0, hen i canno be inverible. True.

More information

dt = C exp (3 ln t 4 ). t 4 W = C exp ( ln(4 t) 3) = C(4 t) 3.

dt = C exp (3 ln t 4 ). t 4 W = C exp ( ln(4 t) 3) = C(4 t) 3. Mah Rahman Exam Review Soluions () Consider he IVP: ( 4)y 3y + 4y = ; y(3) = 0, y (3) =. (a) Please deermine he longes inerval for which he IVP is guaraneed o have a unique soluion. Soluion: The disconinuiies

More information

On Third Order Differential Equations with Property A and B

On Third Order Differential Equations with Property A and B Journal of Maemaical Analysis Applicaions 3, 5955 999 Aricle ID jmaa.998.647, available online a p:www.idealibrary.com on On Tird Order Differenial Equaions wi Propery A B Mariella Cecci Deparmen of Elecronic

More information

A Necessary and Sufficient Condition for the Solutions of a Functional Differential Equation to Be Oscillatory or Tend to Zero

A Necessary and Sufficient Condition for the Solutions of a Functional Differential Equation to Be Oscillatory or Tend to Zero JOURNAL OF MAEMAICAL ANALYSIS AND APPLICAIONS 24, 7887 1997 ARICLE NO. AY965143 A Necessary and Sufficien Condiion for he Soluions of a Funcional Differenial Equaion o Be Oscillaory or end o Zero Piambar

More information

Perpendicular Lines. 4 Do the fold lines appear perpendicular? Use a protractor to measure each angle. How many right angles are formed?

Perpendicular Lines. 4 Do the fold lines appear perpendicular? Use a protractor to measure each angle. How many right angles are formed? 3. Teorems bou Perpendicular Lines oal Use eorems abou perpendicular lines. Key Words complemenary angles p. 67 perpendicular lines p. 08 eo-civiy Inersecing Lines old a piece of old e paper 3 Unfold e

More information

Ann. Funct. Anal. 2 (2011), no. 2, A nnals of F unctional A nalysis ISSN: (electronic) URL:

Ann. Funct. Anal. 2 (2011), no. 2, A nnals of F unctional A nalysis ISSN: (electronic) URL: Ann. Func. Anal. 2 2011, no. 2, 34 41 A nnals of F uncional A nalysis ISSN: 2008-8752 elecronic URL: www.emis.de/journals/afa/ CLASSIFICAION OF POSIIVE SOLUIONS OF NONLINEAR SYSEMS OF VOLERRA INEGRAL EQUAIONS

More information

CS537. Numerical Analysis

CS537. Numerical Analysis CS57 Numerical Analsis Lecure Numerical Soluion o Ordinar Dierenial Equaions Proessor Jun Zang Deparmen o Compuer Science Universi o enuck Leingon, Y 4006 0046 April 5, 00 Wa is ODE An Ordinar Dierenial

More information

SPLICING OF TIME OPTIMAL CONTROLS

SPLICING OF TIME OPTIMAL CONTROLS Dynamic Sysems and Applicaions 21 (212) 169-186 SPLICING OF TIME OPTIMAL CONTROLS H. O. FATTORINI Deparmen of Mahemaics, Universiy of California Los Angeles, California 995-1555, USA ABSTRACT. Two conrols

More information

Example on p. 157

Example on p. 157 Example 2.5.3. Le where BV [, 1] = Example 2.5.3. on p. 157 { g : [, 1] C g() =, g() = g( + ) [, 1), var (g) = sup g( j+1 ) g( j ) he supremum is aken over all he pariions of [, 1] (1) : = < 1 < < n =

More information

Keywords: fractional calculus; weighted Cauchy-type problem; stability

Keywords: fractional calculus; weighted Cauchy-type problem; stability ISSN 749-3889 (rin), 749-3897 (online) Inernaional Journal of Nonlinear Science Vol.5(28) No.3,.28-288 - soluion of Weiged Caucy-ye Prolem of a Diffre-inegral Funcional Equaion A. M. A. El-Sayed, S. A.

More information

Chapter 2. First Order Scalar Equations

Chapter 2. First Order Scalar Equations Chaper. Firs Order Scalar Equaions We sar our sudy of differenial equaions in he same way he pioneers in his field did. We show paricular echniques o solve paricular ypes of firs order differenial equaions.

More information

III. Direct evolution of the density: The Liouville Operator

III. Direct evolution of the density: The Liouville Operator Cem 564 Lecure 8 3mar From Noes 8 003,005,007, 009 TIME IN QUANTUM MECANICS. I Ouline I. Te ime dependen Scroedinger equaion; ime dependence of energy eigensaes II.. Sae vecor (wave funcion) ime evoluion

More information

arxiv: v1 [math.fa] 9 Dec 2018

arxiv: v1 [math.fa] 9 Dec 2018 AN INVERSE FUNCTION THEOREM CONVERSE arxiv:1812.03561v1 [mah.fa] 9 Dec 2018 JIMMIE LAWSON Absrac. We esablish he following converse of he well-known inverse funcion heorem. Le g : U V and f : V U be inverse

More information

The L p -Version of the Generalized Bohl Perron Principle for Vector Equations with Infinite Delay

The L p -Version of the Generalized Bohl Perron Principle for Vector Equations with Infinite Delay Advances in Dynamical Sysems and Applicaions ISSN 973-5321, Volume 6, Number 2, pp. 177 184 (211) hp://campus.ms.edu/adsa The L p -Version of he Generalized Bohl Perron Principle for Vecor Equaions wih

More information

EXERCISES FOR SECTION 1.5

EXERCISES FOR SECTION 1.5 1.5 Exisence and Uniqueness of Soluions 43 20. 1 v c 21. 1 v c 1 2 4 6 8 10 1 2 2 4 6 8 10 Graph of approximae soluion obained using Euler s mehod wih = 0.1. Graph of approximae soluion obained using Euler

More information

Math 2142 Exam 1 Review Problems. x 2 + f (0) 3! for the 3rd Taylor polynomial at x = 0. To calculate the various quantities:

Math 2142 Exam 1 Review Problems. x 2 + f (0) 3! for the 3rd Taylor polynomial at x = 0. To calculate the various quantities: Mah 4 Eam Review Problems Problem. Calculae he 3rd Taylor polynomial for arcsin a =. Soluion. Le f() = arcsin. For his problem, we use he formula f() + f () + f ()! + f () 3! for he 3rd Taylor polynomial

More information

10. State Space Methods

10. State Space Methods . Sae Space Mehods. Inroducion Sae space modelling was briefly inroduced in chaper. Here more coverage is provided of sae space mehods before some of heir uses in conrol sysem design are covered in he

More information

Challenge Problems. DIS 203 and 210. March 6, (e 2) k. k(k + 2). k=1. f(x) = k(k + 2) = 1 x k

Challenge Problems. DIS 203 and 210. March 6, (e 2) k. k(k + 2). k=1. f(x) = k(k + 2) = 1 x k Challenge Problems DIS 03 and 0 March 6, 05 Choose one of he following problems, and work on i in your group. Your goal is o convince me ha your answer is correc. Even if your answer isn compleely correc,

More information

Singular control of SPDEs and backward stochastic partial diffe. reflection

Singular control of SPDEs and backward stochastic partial diffe. reflection Singular conrol of SPDEs and backward sochasic parial differenial equaions wih reflecion Universiy of Mancheser Join work wih Bern Øksendal and Agnès Sulem Singular conrol of SPDEs and backward sochasic

More information

The fundamental mass balance equation is ( 1 ) where: I = inputs P = production O = outputs L = losses A = accumulation

The fundamental mass balance equation is ( 1 ) where: I = inputs P = production O = outputs L = losses A = accumulation Hea (iffusion) Equaion erivaion of iffusion Equaion The fundamenal mass balance equaion is I P O L A ( 1 ) where: I inpus P producion O oupus L losses A accumulaion Assume ha no chemical is produced or

More information

Predator - Prey Model Trajectories and the nonlinear conservation law

Predator - Prey Model Trajectories and the nonlinear conservation law Predaor - Prey Model Trajecories and he nonlinear conservaion law James K. Peerson Deparmen of Biological Sciences and Deparmen of Mahemaical Sciences Clemson Universiy Ocober 28, 213 Ouline Drawing Trajecories

More information

Strongly continuous semigroups

Strongly continuous semigroups Capter 2 Strongly continuous semigroups Te main application of te teory developed in tis capter is related to PDE systems. Tese systems can provide te strong continuity properties only. 2.1 Closed operators

More information

23.5. Half-Range Series. Introduction. Prerequisites. Learning Outcomes

23.5. Half-Range Series. Introduction. Prerequisites. Learning Outcomes Half-Range Series 2.5 Inroducion In his Secion we address he following problem: Can we find a Fourier series expansion of a funcion defined over a finie inerval? Of course we recognise ha such a funcion

More information

Theory of! Partial Differential Equations!

Theory of! Partial Differential Equations! hp://www.nd.edu/~gryggva/cfd-course/! Ouline! Theory o! Parial Dierenial Equaions! Gréar Tryggvason! Spring 011! Basic Properies o PDE!! Quasi-linear Firs Order Equaions! - Characerisics! - Linear and

More information

Theory of! Partial Differential Equations-I!

Theory of! Partial Differential Equations-I! hp://users.wpi.edu/~grear/me61.hml! Ouline! Theory o! Parial Dierenial Equaions-I! Gréar Tryggvason! Spring 010! Basic Properies o PDE!! Quasi-linear Firs Order Equaions! - Characerisics! - Linear and

More information

Positive continuous solution of a quadratic integral equation of fractional orders

Positive continuous solution of a quadratic integral equation of fractional orders Mah. Sci. Le., No., 9-7 (3) 9 Mahemaical Sciences Leers An Inernaional Journal @ 3 NSP Naural Sciences Publishing Cor. Posiive coninuous soluion of a quadraic inegral equaion of fracional orders A. M.

More information

IB Physics Kinematics Worksheet

IB Physics Kinematics Worksheet IB Physics Kinemaics Workshee Wrie full soluions and noes for muliple choice answers. Do no use a calculaor for muliple choice answers. 1. Which of he following is a correc definiion of average acceleraion?

More information

Intermediate Differential Equations Review and Basic Ideas

Intermediate Differential Equations Review and Basic Ideas Inermediae Differenial Equaions Review and Basic Ideas John A. Burns Cener for Opimal Design And Conrol Inerdisciplinary Cener forappliedmahemaics Virginia Polyechnic Insiue and Sae Universiy Blacksburg,

More information

The Asymptotic Behavior of Nonoscillatory Solutions of Some Nonlinear Dynamic Equations on Time Scales

The Asymptotic Behavior of Nonoscillatory Solutions of Some Nonlinear Dynamic Equations on Time Scales Advances in Dynamical Sysems and Applicaions. ISSN 0973-5321 Volume 1 Number 1 (2006, pp. 103 112 c Research India Publicaions hp://www.ripublicaion.com/adsa.hm The Asympoic Behavior of Nonoscillaory Soluions

More information

Module 4: Time Response of discrete time systems Lecture Note 2

Module 4: Time Response of discrete time systems Lecture Note 2 Module 4: Time Response of discree ime sysems Lecure Noe 2 1 Prooype second order sysem The sudy of a second order sysem is imporan because many higher order sysem can be approimaed by a second order model

More information

Ch.1. Group Work Units. Continuum Mechanics Course (MMC) - ETSECCPB - UPC

Ch.1. Group Work Units. Continuum Mechanics Course (MMC) - ETSECCPB - UPC Ch.. Group Work Unis Coninuum Mechanics Course (MMC) - ETSECCPB - UPC Uni 2 Jusify wheher he following saemens are rue or false: a) Two sreamlines, corresponding o a same insan of ime, can never inersec

More information

Olaru Ion Marian. In 1968, Vasilios A. Staikos [6] studied the equation:

Olaru Ion Marian. In 1968, Vasilios A. Staikos [6] studied the equation: ACTA UNIVERSITATIS APULENSIS No 11/2006 Proceedings of he Inernaional Conference on Theory and Applicaion of Mahemaics and Informaics ICTAMI 2005 - Alba Iulia, Romania THE ASYMPTOTIC EQUIVALENCE OF THE

More information

Lecture 10: Wave equation, solution by spherical means

Lecture 10: Wave equation, solution by spherical means Lecure : Wave equaion, soluion by spherical means Physical modeling eample: Elasodynamics u (; ) displacemen vecor in elasic body occupying a domain U R n, U, The posiion of he maerial poin siing a U in

More information

Mild solutions for semi-linear fractional order functional stochastic differential equations with impulse effect

Mild solutions for semi-linear fractional order functional stochastic differential equations with impulse effect Malaya J. Ma. 3(3)(25) 277 288 Mild soluions for semi-linear fracional order funcional socasic differenial equaions wi impulse effec Mod Nadeem a, and Jaydev Dabas b a,b Deparmen of Applied Science and

More information

4.6 One Dimensional Kinematics and Integration

4.6 One Dimensional Kinematics and Integration 4.6 One Dimensional Kinemaics and Inegraion When he acceleraion a( of an objec is a non-consan funcion of ime, we would like o deermine he ime dependence of he posiion funcion x( and he x -componen of

More information

SOLUTIONS TO ECE 3084

SOLUTIONS TO ECE 3084 SOLUTIONS TO ECE 384 PROBLEM 2.. For each sysem below, specify wheher or no i is: (i) memoryless; (ii) causal; (iii) inverible; (iv) linear; (v) ime invarian; Explain your reasoning. If he propery is no

More information

Oscillation of an Euler Cauchy Dynamic Equation S. Huff, G. Olumolode, N. Pennington, and A. Peterson

Oscillation of an Euler Cauchy Dynamic Equation S. Huff, G. Olumolode, N. Pennington, and A. Peterson PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON DYNAMICAL SYSTEMS AND DIFFERENTIAL EQUATIONS May 4 7, 00, Wilmingon, NC, USA pp 0 Oscillaion of an Euler Cauchy Dynamic Equaion S Huff, G Olumolode,

More information

Omega-limit sets and bounded solutions

Omega-limit sets and bounded solutions arxiv:3.369v [mah.gm] 3 May 6 Omega-limi ses and bounded soluions Dang Vu Giang Hanoi Insiue of Mahemaics Vienam Academy of Science and Technology 8 Hoang Quoc Vie, 37 Hanoi, Vienam e-mail: dangvugiang@yahoo.com

More information

On Oscillation of a Generalized Logistic Equation with Several Delays

On Oscillation of a Generalized Logistic Equation with Several Delays Journal of Mahemaical Analysis and Applicaions 253, 389 45 (21) doi:1.16/jmaa.2.714, available online a hp://www.idealibrary.com on On Oscillaion of a Generalized Logisic Equaion wih Several Delays Leonid

More information

Zürich. ETH Master Course: L Autonomous Mobile Robots Localization II

Zürich. ETH Master Course: L Autonomous Mobile Robots Localization II Roland Siegwar Margaria Chli Paul Furgale Marco Huer Marin Rufli Davide Scaramuzza ETH Maser Course: 151-0854-00L Auonomous Mobile Robos Localizaion II ACT and SEE For all do, (predicion updae / ACT),

More information

Y 0.4Y 0.45Y Y to a proper ARMA specification.

Y 0.4Y 0.45Y Y to a proper ARMA specification. HG Jan 04 ECON 50 Exercises II - 0 Feb 04 (wih answers Exercise. Read secion 8 in lecure noes 3 (LN3 on he common facor problem in ARMA-processes. Consider he following process Y 0.4Y 0.45Y 0.5 ( where

More information

Fractional Method of Characteristics for Fractional Partial Differential Equations

Fractional Method of Characteristics for Fractional Partial Differential Equations Fracional Mehod of Characerisics for Fracional Parial Differenial Equaions Guo-cheng Wu* Modern Teile Insiue, Donghua Universiy, 188 Yan-an ilu Road, Shanghai 51, PR China Absrac The mehod of characerisics

More information

MATH 128A, SUMMER 2009, FINAL EXAM SOLUTION

MATH 128A, SUMMER 2009, FINAL EXAM SOLUTION MATH 28A, SUMME 2009, FINAL EXAM SOLUTION BENJAMIN JOHNSON () (8 poins) [Lagrange Inerpolaion] (a) (4 poins) Le f be a funcion defined a some real numbers x 0,..., x n. Give a defining equaion for he Lagrange

More information

Stochastic Reliability Analysis of Two Identical Cold Standby Units with Geometric Failure & Repair Rates

Stochastic Reliability Analysis of Two Identical Cold Standby Units with Geometric Failure & Repair Rates DOI: 0.545/mjis.07.500 Socasic Reliabiliy Analysis of Two Idenical Cold Sandby Unis wi Geomeric Failure & Repair Raes NITIN BHARDWAJ AND BHUPENDER PARASHAR Email: niinbardwaj@jssaen.ac.in; parasar_b@jssaen.ac.in

More information

Instructor: Barry McQuarrie Page 1 of 5

Instructor: Barry McQuarrie Page 1 of 5 Procedure for Solving radical equaions 1. Algebraically isolae one radical by iself on one side of equal sign. 2. Raise each side of he equaion o an appropriae power o remove he radical. 3. Simplify. 4.

More information

Chapter 5: Control Volume Approach and Continuity Principle Dr Ali Jawarneh

Chapter 5: Control Volume Approach and Continuity Principle Dr Ali Jawarneh Chaper 5: Conrol Volume Approach and Coninuiy Principle By Dr Ali Jawarneh Deparmen of Mechanical Engineering Hashemie Universiy 1 Ouline Rae of Flow Conrol volume approach. Conservaion of mass he coninuiy

More information

Let ( α, β be the eigenvector associated with the eigenvalue λ i

Let ( α, β be the eigenvector associated with the eigenvalue λ i ENGI 940 4.05 - Sabiliy Analysis (Linear) Page 4.5 Le ( α, be he eigenvecor associaed wih he eigenvalue λ i of he coefficien i i) marix A Le c, c be arbirary consans. a b c d Case of real, disinc, negaive

More information