M445: Heat equation with sources

Similar documents
SATHYABAMA UNIVERSITY

2. Higher-order Linear ODE s

TMA 4195 Mathematical Modeling, 30 November 2006 Solution with additional comments

ORDINARY DIFFERENTIAL EQUATIONS

Using the TI-92+ : examples

Some Explicit Solutions of the Cable Equation

VALLIAMMAI ENGINEERING COLLEGE SRM Nagar, Kattankulathur DEPARTMENT OF MATHEMATICS QUESTION BANK

ENGI 3424 First Order ODEs Page 1-01

Lecture 4b. Bessel functions. Introduction. Generalized factorial function. 4b.1. Using integration by parts it is easy to show that

12.7 Heat Equation: Modeling Very Long Bars.

PDEs, part 1: Introduction and elliptic PDEs

ES.1803 Topic 19 Notes Jeremy Orloff. 19 Variation of parameters; exponential inputs; Euler s method

Second In-Class Exam Solutions Math 246, Professor David Levermore Thursday, 31 March 2011

Solving the Heat Equation (Sect. 10.5).

SYLLABUS FOR ENTRANCE EXAMINATION NANYANG TECHNOLOGICAL UNIVERSITY FOR INTERNATIONAL STUDENTS A-LEVEL MATHEMATICS

Euler 2D and coupled systems: Coherent structures, solutions and stable measures

Solutions Assignment 2

Solve Wave Equation from Scratch [2013 HSSP]

Fourier Analysis Fourier Series C H A P T E R 1 1

Part 1. The simple harmonic oscillator and the wave equation

Math 46, Applied Math (Spring 2009): Final

Final Exam May 4, 2016

Pre-Calculus and Trigonometry Capacity Matrix

Computer Problems for Taylor Series and Series Convergence

Lecture 5: Rules of Differentiation. First Order Derivatives

Outline. Math Partial Differential Equations. Fourier Transforms for PDEs. Joseph M. Mahaffy,

NONLINEAR DYNAMICS AND CHAOS. Numerical integration. Stability analysis

1 Some general theory for 2nd order linear nonhomogeneous

Stochastic solutions of nonlinear pde s: McKean versus superprocesses

Survival Guide to Bessel Functions

A Padé approximation to the scalar wavefield extrapolator for inhomogeneous media

3.7 Indeterminate Forms - l Hôpital s Rule

Numerical Analysis of Differential Equations Numerical Solution of Parabolic Equations

Waves on 2 and 3 dimensional domains

Fixed Point Theorem and Sequences in One or Two Dimensions

PROBLEMS In each of Problems 1 through 12:

Relevant self-assessment exercises: [LIST SELF-ASSESSMENT EXERCISES HERE]

Index. C 2 ( ), 447 C k [a,b], 37 C0 ( ), 618 ( ), 447 CD 2 CN 2

The incomplete gamma functions. Notes by G.J.O. Jameson. These notes incorporate the Math. Gazette article [Jam1], with some extra material.

Theory of Ordinary Differential Equations. Stability and Bifurcation I. John A. Burns

Name of the Student: Fourier Series in the interval (0,2l)

Euler-Maclaurin summation formula

APPLIED PARTIM DIFFERENTIAL EQUATIONS with Fourier Series and Boundary Value Problems

Chapter 9. Derivatives. Josef Leydold Mathematical Methods WS 2018/19 9 Derivatives 1 / 51. f x. (x 0, f (x 0 ))

Lecture 11: Fourier Cosine Series

1 A complete Fourier series solution

Vibrating Strings and Heat Flow

Autonomous Mechanical systems of 1 degree of freedom

Conservative fields and potential functions. (Sect. 16.3) The line integral of a vector field along a curve.

ENGI 2422 First Order ODEs - Separable Page 3-01

Answer Key 1973 BC 1969 BC 24. A 14. A 24. C 25. A 26. C 27. C 28. D 29. C 30. D 31. C 13. C 12. D 12. E 3. A 32. B 27. E 34. C 14. D 25. B 26.

Taylor Series and Series Convergence (Online)

Chapter 6. Nonlinear Equations. 6.1 The Problem of Nonlinear Root-finding. 6.2 Rate of Convergence

Pattern formation and Turing instability

ME 391 Mechanical Engineering Analysis

Newton's Laws You should be able to state these laws using both words and equations.

systems of linear di erential If the homogeneous linear di erential system is diagonalizable,

Dynamics of the di usive Nicholson s blow ies equation with distributed delay

Equations involving an unknown function and its derivatives. Physical laws encoded in differential equations INTRODUCTION TO DIFFERENTIAL EQUATIONS

IERCU. Dynamic Monopoly with Demand Delay

Differential equations, comprehensive exam topics and sample questions

Taylor series - Solutions

Partial Differential Equations

Sound Propagation in the Nocturnal Boundary Layer. Roger Waxler Carrick Talmadge Xiao Di Kenneth Gilbert

Boundary. DIFFERENTIAL EQUATIONS with Fourier Series and. Value Problems APPLIED PARTIAL. Fifth Edition. Richard Haberman PEARSON

is represented by a convolution of a gluon density in the collinear limit and a universal

Steady and unsteady diffusion

Process of whiskey maturation & Current Efforts to improve Comparison Goals Modeling nonlinear Diffusion

2.29 Numerical Fluid Mechanics Fall 2009 Lecture 13

Differential Equation (DE): An equation relating an unknown function and one or more of its derivatives.

Seismic Waves Propagation in Complex Media

PHY4604 Introduction to Quantum Mechanics Fall 2004 Final Exam SOLUTIONS December 17, 2004, 7:30 a.m.- 9:30 a.m.

2 Introduction T(,t) = = L Figure..: Geometry of the prismatical rod of Eample... T = u(,t) = L T Figure..2: Geometry of the taut string of Eample..2.

Mathematical Models. MATH 365 Ordinary Differential Equations. J. Robert Buchanan. Spring Department of Mathematics

Mathematical Models. MATH 365 Ordinary Differential Equations. J. Robert Buchanan. Fall Department of Mathematics

Gaussian beams for high frequency waves: some recent developments

144 Chapter 3. Second Order Linear Equations

Part E1. Transient Fields: Leapfrog Integration. Prof. Dr.-Ing. Rolf Schuhmann

MTH 5102 Linear Algebra Practice Final Exam April 26, 2016

MATH39001 Generating functions. 1 Ordinary power series generating functions

A Propagating Wave Packet The Group Velocity

Detection and Estimation Theory

Torque on a wedge and an annular piston. II. Electromagnetic Case

ECE 6341 Spring 2016 HW 2

THE FOURTH-ORDER BESSEL-TYPE DIFFERENTIAL EQUATION

Second-Order Linear ODEs (Textbook, Chap 2)

Introduction to First Order Equations Sections

abc Mathematics Further Pure General Certificate of Education SPECIMEN UNITS AND MARK SCHEMES

Unit No: DT5X 33 DG4H 33. Unit Title: Mathematics for Engineering 1: Outcome 1. Additional Notes. Problem Solving involving Powers and Logs

Economics 202A Lecture Outline #3 (version 1.0)

G : Statistical Mechanics

01 Harmonic Oscillations

Notes on Time Series Modeling

Universidad Nacional de Córdoba CIEM-CONICET, Argentina

Chapter 5 Symbolic Increments

Convergence for periodic Fourier series

Answers for NSSH exam paper 2 type of questions, based on the syllabus part 2 (includes 16)

arxiv:math-ph/ v1 10 Jan 2005

Taylor Series and Asymptotic Expansions

Random Fields in Bayesian Inference: Effects of the Random Field Discretization

Transcription:

M5: Heat equation with sources David Gurarie I. On Fourier and Newton s cooling laws The Newton s law claims the temperature rate to be proportional to the di erence: d dt T = (T T ) () The Fourier law postulates the heat- u to be proportional to the temperature gradient: d dt Q = Z rt NdS; () Q = ct with coe cients c=heat capacity; =heat conductivity. Two descriptions deal with di erent time scales: fast for the Fourier and slow for the Newton. A physical model could be a uid undergoing turbulent miing as it cools down, e.g. buoyancy-driven convection in a pool with a freezing surface. Call temperatures T (air) and T b (initial water). We consider a circulation pattern that randomly replaces surface parcels at a constant rate (so called renewal model ). The uid patches that come to the surface could have the ambient water temperature T>T, and thus capable of releasing heat. Or they ve already participated in the heat-echange on the previous time-step, which brought their temperature down to T ¼ T, hence rendered them incapable of further cooling. Let Á (t) denotes a fraction of the surface eposed (and capable) of the heat echange. A constant replacement rate makes Á (t) an eponential function, Á (t) = e t=,where is the slow time-scale. We take the standard erf -solution of the half-space problem and its heat- u µ z T (z; t) = (T T b )erf + T b p t Q (;t) = k (@ z T )j z= = k p ¼ t (T T b ) Here denotes the heat-di usivity, and k -heat conductivity.

Averaging out the fast time scales we get T (z) = Q () = Z Z Á (t) T (z; t) dt =(T T b ) e z=p Á (t) Q (;t) dt = p k (T T )= c p½ b (T T b ) l µ () where l µ is the length scale of the average temperature pro le, c p -speci c heat at constant pressure and ½ -density. The second line of () is essentially the Newton s law. Mathematically, the erf-solution (e.g. for a cooling bar [ a; a]) T (; t) =erf µ + a p t erf µ a p ¼ p a + O t = t t has a polynomial fall-o in t (the same would hold for the space-average temperature over [ a; a]). However, averaging over the slow (Newton) time scale, i.e. taking time-convolution of T with e t=,weget Z t µ e (t s)= p ds ¼ e t= c + c p + ::: s t i.e. Newton s eponential fall-o. II. Heat equation with delta-sources We write a typical heat-di usion problem using symbolic operator notation u t + L [u] = F () uj t= = f Here L could be an ordinary di erential operator @p@ + q on [;l] with suitable boundary conditions at f; lg, or more general elliptic pde L = r pr + q, on region D ½ R n with boundary, and boundary condition B [u] =(a + b@ n ) uj. The formal (ODE-type) solution of () is given by the operator-eponential u = e tl [f]+ analogous to the matri-eponential. Z t e (t s)l [F (s)] ds (5)

Such operator-eponential represents a fundamental solution of problem (). One could show that operator e tl acting on functions ff ()g isgivenbyanintegralkernel G (;»; t), calledgreen s function of the problem, Z G [f] = G (;»; :::) f (») d» (6) D We are interested in the delta-source F = h (t) ± ( ). If G (;»; t)denotes the Green s function of L B, then solution (5) u (; t) = Z t G (; ;t s) h (s) ds (7) We evaluate (7) for the standard Gaussian G = (¼ t) n= e = t i.e. L = on R n and treat cases. Z t u (; t) = (¼ ) n= e = s s n= h (t s) ds (8) A. Constant source h =Const Here (8) yields after the change s! z = s u = jj n Z = t µ z n= e z dz = jj n n ; t epressed in terms of incomplete Euler gamma function (º;p)= Z p e z z º dz of order º = n, depending on space-dimension. Dimensions n =; ; can be epanded for small as ;p = p p p ¼ + p p p= + (;p) = µ +ln p 5 p5= + O p 7= + p p + 8 p + O p ;p = p ¼ p p + p= 5 p5= + p7= + O p

with Euler constant = : 577. We plot all gammas.5.5.5.5.5.5 Incomplete gamma-functions (º;p) for º = ;; and write the corresponding solutions u epanded in small p = t dim q t p ¼ jj + =p ³ t 96 : 577 + ln t + t ³ p¼ p jj t + jj ( t) = u + ::: 5= t = + ::: 6 t jj + ::: 6( t) 5= Notice that in D solution has an asymptotic limit as t! r p t ¼ u (; t) ' jj whereas D-one converges to a potential-type equilibrium p ¼ u (; t)! jj The eact solutions for n =; ; u = jj µ ; t u = µ; t u = jj µ ; t

are plotted below as radial pro les u (r; t) in D-space-time view.5.5.5.5 t.5 - -.5 t.5 - - - D D 5.5 t.5 - - - D Temperature pro le for D, D and D steady point sources 5

We also show their time snapshots 8.5 6.5 - -.5 D.5.5 - - - D 8 6 - - - D Time slices of temperature pro les in, and D A typical pattern shows accumulation of heat near the source and its spread outward. The rate of accumulation depends on space dimension and steepens with theincreaseofn. B. Time periodic source: h =cos!t Here solution u = Z t cos! (t s) e = s (¼ s) n= ds The integral has no closed form epression in known (elementary or special) functions. But its large-time asymptotics could be reduced to Fourier transforms of function: f (t) = e = t (¼ t) n=. Namely, Z u ¼ cos!t B @ cos!s f (s) dsc A sin!t B @ sin!s f (s) dsc A {z } {z } ^f c (!) Z ^f s (!) 6

The complete (half-line Fourier) transform of f in epressed through the modi ed Bessel (Kelvin) function K n= ^f (!) = Z e i!t =t e n =e i¼( t n= 8 ) µp n=! ³ K n= p i! jj jj In special cases, e.g. D K = is an elementary function, so integral (9) is simpli ed to ^f = +i ³ p e p!jj cos p! jj + i sin p! jj! We have thus shown that the asymptotic pattern consists of eponentially attenuated propagating heat-waves ³p u ¼ e p!jj cos! jj!t (9).5 - t 5 6 5-5 - - -5 5 -.5 - Modulated heat-wave and its time snapshots Let us remark that the relation between the wave number k ¼ p! and frequency! is consistent with the heat-di usion dispersion law: i! = k. III. Equilibria for heat-di usion problems We use operator formalism (5) for a typical heat-di usion problem () to write its formal solution in terms of operator eponentials, analogous to the matri-eponential. All functions u; f; F could be epanded in terms of eigenfunctions fã k g of operator L, (rather eigenmodes of the boundary value problem L; B) In particular, Green s function is epanded as G (;»; t) = X k L [à k ] = kã k () Bà k j = e t k à k () ¹ à k (») kã k k 7

and solution (??) becomes u (; t) = X Z t h @ ^fk e t k + e (t s) k ^Fk (s)i dsa à k () : () k n o n o Here ^fk ; ^Fk (t) denote generalized Fourier coe cients of f and F ^f k = hf ()j à ki kã k k in the sense of L (square-mean) inner product. A simple equilibrium solution v of problem () with a stationary (time-independent) source F is given by L [v] =F ) v = L [F ] () By analogy with eponential e tl operator L could be represented by an integral kernel (Green s function) K (;») = X k k à k () ¹ à k (») kã k k epanded in eigenmodes of L. Hence v () = X k ^F k à k () k The latter is easily shown to be a limit of solution (??) ast!, provided all eigenvalues f kg of L are positive. Indeed, convolution integral (??) becomes u = I e tl L A. Periodic equilibria [F ]+e tl [f]! L [F ]=v, ast! More interesting case arises for a periodic source F (; t). One asks the same two questionsasabove. whether periodic solutions v eist for (). whether they are stable, in the sense that any u (; t)! v as t! Both are easily answered using the above operator (ODE)-formalism. We rst consider a single frequency case F = F () e i!t in the comple form, ½ ut + L [u] =Fe i!t () uj = f 8

Formal solution of IVP () u = ei!t e Lt i! + L [F ]+e Lt [f] () µ µ = e i!t [F ]+e f Lt F i! + L i! + L is decomposed into the periodic component v () e i!t, where equilibrium v satis es (i! + L) v = F ) v =(i! + L) F (5) and negative eponential e Lt [:::]. As above operators (i! + L) ; e Lt are given by (comple-valued) Green s functions K (;»; i!); G (;»; t), or else could be epanded in eigenmodes v () = X ^F k à i! + k () (6) k k From comple form (6) one could easily get the real periodic solution ½ ut + L [u] =F cos!t uj = f (7) by taking the real and imaginary parts of () µ e i!t L Re = i! + L L +! cos!t +! sin!t L +! This yields the IVP-solution (7) written as µ L u = cos!t L +! +sin!t! L +! F + e Lt µ f in the operator-form, or an equivalent series epansion u = X k + e kt ½ k cos!t +! sin!t µ ^f k k +! ^Fk L L +! F ^Fk (8) k +! ¾ k à k () The latter clearly demonstrates that u (; t) converges to a periodic equilibrium v (;t) = Re (v () e i!t ),providedalleigenvalues k are positive, so eponential terms drop in ()-(8). 9

B. Multiple frequency case Here F is represented by a time-fourier series F = X m e i!mt F m () In the periodic case all frequencies are multiples of a single (lowest) one! m = m! and the period of F is T = ¼!. More generally, f! mg are arbitrary real numbers, the so called frequency spectrum of F. We seek partial (periodic) solution v in the form v = X m e i!mt v m () (9) with undetermined Fourier coe cients fv m g. The substitution in () determines each one of them via (5) v m =(i! m + L) F m So v is epanded in the time Fourier series (9) with the same period (or quasiperiods) as F. An interesting eample of multiple frequencies arises for a periodically moving point-source F = ± ( a cos!t) () We consider it on a symmetric interval [ l; l] with amplitude of oscillation a < l. P Generalized time-periodic function () has a frequency Fourier epansion F = m eim!t F m () with coe cients a F m () = cos m cos a ¼ p = T m a ¼ p a whose numerators are made of the classical Tchebyshev polynomials of the rst kind. We plot a few of them Function F is called quasi-periodic if its spectrum is made of linear combinations of a nite (basic) set f! ; :::;! p g px! m = n k! k with integer coe cients n k. Otherwise, it is called almost periodic. k=

-.8 -.6 -. -....6.8 - - As a consequence we get the periodic equilibrium for the moving-source problem, epanded in the double series v (; t) = ¼ X X µ k cos m!t + m! sin m!t m= k Tm a assuming all eigenvalues of L positive. Problems: k +(m!) p = a à k kã k k à k (). Specify epansion () for the Dirichlet and Neumann problem on [ l; l], L = @ :. Compute the rst 5 frequency modes m =; :::; 5.. Plot approimate periodic equilibrium () by truncating both series. Use Mathematica! ()