Chapter 12 Partial Differential Equations

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Chapter 12 Partial DifferentialEquationsAdvanced Engineering MathematicsWei-Ta ChuNational Chung Cheng Universitywtchu@cs.ccu.edu.tw1

12.1 Basic Concepts of PDEs2

Partial Differential EquationA partial differential equation (PDE) is an equationinvolving one or more partial derivatives of an(unknown) function, call it u, that depends on two ormore variables, often time t and one or severalvariables in space.The order of the highest derivative is called the orderof the PDE. Just as was the case for ODEs, secondorder PDEs will be the most important ones inapplications.3

Partial Differential EquationWe say that a PDE is linear if it is of the first degree inthe unknown function u and its partial derivatives.We call a linear PDE homogeneous if each of its termscontains either u or one of its partial derivatives.4

Example 15(1)One-dimensional wave equation(2)One-dimensional heat equation(3)Two-dimensional Laplace equation(4)Two-dimensional Poisson equation(5)Two-dimensional wave equation(6)Three-dimensional Laplace equationHere c is a positive constant, t is time, x, y, z are Cartesian coordinates, anddimension is the number of these coordinates in the equation.

Partial Differential EquationA solution of a PDE in some region R of the space ofthe independent variables is a function that has all thepartial derivatives appearing in the PDE in somedomain D containing R, and satisfies the PDEeverywhere in R.In general, the totality of solutions of a PDE is verylarge. For example, the functions(7)which are entirely different from each other, aresolutions of (3).6

Partial Differential EquationWe shall see that the unique solution of a PDEcorresponding to a given physical problem will beobtained by the use of additional conditions arisingfrom the problem.For instance, this may be the condition that thesolution u assume given values on the boundary of theregion R (“boundary conditions”). Or, when time t isone of the variables, u (oror both) may beprescribed at t 0 (“initial conditions”).7

Theorem 1Fundamental Theorem on SuperpositionIf u1 and u2 are solutions of a homogeneous linear PDEin some region R, thenwith any constants c1 and c2 is also a solution of thatPDE in the region R.8

Example 2Find solutions u of the PDEdepending onx and y.Solution. Since no y-derivatives occur, we can solvethis PDE like. In Sec. 2.2, we would haveobtainedwith constant A and B. HereA and B may be functions of y, so that the answer iswith arbitrary functions A and B. We thus have a greatvariety of solutions. Check the result by differentiation.9

Example 3Find solutions u u(x,y) of the PDESolution. Setting, we have,,,and by integration withrespect to x,here, f(x) and g(y) are arbitrary.10

12.2 Modeling: Vibrating String,Wave Equation11

ModelingWe want to derive the PDE modeling small transversevibrations of an elastic string, such as a violin string.We place the string along the x-axis, stretch it to lengthL, and fasten it at the ends x 0 and x L. We thendistort the string, and at some instant, call it t 0, werelease it and allow it to vibrate. The problem is todetermine the vibrations of the string, that is, to find itsdeflection u(x,t) at any point x and at any time t 0; seeFig. 286.12

Modelingu(x,t) will be the solution of a PDE that is the model ofour physical system to be derived. This PDE shouldnot be too complicated, so that we can solve it.Reasonable simplifying assumptions are as follows.13

ModelingPhysical AssumptionsThe mass of the string per unit length is constant(“homogeneous string”). The string is perfectly elasticand does not offer any resistance to bending.The tension caused by stretching the string beforefastening it at the ends is so large that the action of thegravitational force on the string can be neglected.The string performs small transverse motions in a verticalplane; that is, every particle of the string moves strictlyvertically and so that the deflection and the slope at everypoint of the string always remain small in absolute value.14

Derivation of the PDE of the ModelWe consider the forces acting on a small portion of thestring (Fig. 286). This method is typical of modeling inmechanics and elsewhere.Since the string offers no resistance to bending, thetension is tangential to the curve of the string at eachpoint. Let T1 and T2 be the tension at the endpoints Pand Q of that portion. Since the points of the stringmove vertically, there is no motion in the horizontaldirection. Hence the horizontal components of thetension must be constant.15

Derivation of the PDE of the ModelUsing the notation shown in Fig. 286, we thus obtain(1)In the vertical direction we have two forces, namely,the vertical componentsandof T1and T2; here the minus sign appears because thecomponent that P is directed downward.16

Derivation of the PDE of the ModelBy Newton’s second law the resultant of these twoforces is equal to the massof the portion timesthe acceleration, evaluated at some pointbetween and; here is the mass of theundeflected string per unit length, andis the lengthof the portion of the undeflected string. ( is generallyused to denote small quantities)Hence17

Derivation of the PDE of the ModelUsing (1), we can divide this by(2)Noware slopes of the string atandHere we have to write partial derivatives because ualso depends on time t. Dividing (2) by, we thushave18

Derivation of the PDE of the ModelIf we letapproach zero, we obtain the linear PDEThis is called the one-dimensional wave equation.We see that it is homogeneous and of the second order.The physical constantis denoted by (instead ofc) to indicate that this constant is positive, a fact thatwill be essential to the form of the solutions. “Onedimensional” means that the equation involves onlyone space variable, x.19

12.3 Solution by SeparatingVariables. Use of Fourier Series20

One-Dimensional Wave EquationThe model of a vibrating elastic string consists of theone-dimensional wave equation(1)for the unknown deflection u(x,t) of the string, a PDEthat we have just obtained, and some additionalconditions, which we shall now derive.21

One-Dimensional Wave EquationSince the string is fastened at the ends x 0 and x L,we have the two boundary conditions(2)Furthermore, the form of the motion of the string willdepend on its initial deflection (deflection at time t 0),call it f(x), and on its initial velocity (velocity at t 0),call it g(x).22

One-Dimensional Wave EquationWe thus have two initial conditions(3)where. We now have to find a solution ofthe PDE (1) satisfying the conditions (2) and (3). Thiswill be the solution of our problem.(1)(2)23

One-Dimensional Wave EquationStep 1. By the “method of separating variables” orproduct method, setting u(x,t) F(x)G(t), we obtainfrom (1) two ODEs, one for F(x) and the other one forG(t).Step 2. We determine solutions of these ODEs thatsatisfy the boundary conditions (2).Step 3. Finally, using Fourier series, we compose thesolutions found in Step 2 to obtain a solution of (1)satisfying both (2) and (3), that is, the solution of ourmodel of the vibrating string.24

(1)Step 1In the method of separating variables, or productmethod, we determine solutions of the wave equation(1) of the form(4)which are a product of two functions, each dependingon only one of the variables x and t. This is a powerfulgeneral method that has various applications inengineering mathematics.Differentiating (4), we obtainwhere dots denote derivatives with respect to t.25

(1)Step 1By inserting this into the wave equation (1) we haveDividing byand simplifying givesThe variables are now separated, the left sidedepending only on t and the right side only on x.Hence both sides must be constant because, if theywere variable, then changing t or x would affect onlyone side, leaving the other unaltered. Thus, say26

Step 1Multiplying by the denominators gives immediatelytwo ordinary DEs(5)(6)Here, the separation constant k is still arbitrary.27

(5)Step 2We now determine solutions F and G of (5) and (6) sothat u FG satisfies the boundary conditions (2), that is(7)We first solve (5). Ifis of no interest. Hence, then, whichand then by (7),(8)We show that k must be negative. For k 0 the generalsolution of (5) is, and from (8) we obtaina b 0, so that F 0 and u FG 0, which is of nointerest.28

(5)Step 2For positivea general solution of (5) isand from (8) we obtain F 0 as before. Hence we areleft with the possibility of choosing k negative, say,. Then (5) becomesand has as ageneral solutionFrom this and (8) we have29

(8)Step 2(9)We must takeThussince otherwise F 0. Hence(n integer)Setting B 1, we thus obtain infinitely many solutions, where(10)(n 1, 2, )These solutions satisfy (8). [For negative integer n weobtain essentially the same solutions, except for aminus sign, because]30

(6)Step 2We now solve (6) withfrom (9), that is,resulting(11*)A general solution isHence solutions of (1) satisfying (2) are, written out(11)(n 1, 2, )(1)31(2)

Step 2(11)(n 1, 2, )These functions are called the eigenfunctions, orcharacteristic functions, and the valuesarecalled the eigenvalues, or characteristic values, of thevibrating string. The setis called thespectrum.32

(11)(n 1, 2, )Step 2Discussion of Eigenfunctions. We see that each unrepresents a harmonic motion having the frequencycycles per unit time. This motion iscalled the nth normal mode of the string. The firstnormal mode is known as the fundamental mode (n 1),and the others are known as overtones; musically theygive the octave, octave plus fifth, etc.Since in (11)atthe nth normal mode has n-1 nodes, that is, points ofthe string that do not move; see Fig. 287.33

Step 2Figure 288 shows the second normal mode for variousvalues of t. At any instant the string has the form of asine wave. When the left part of the string is movingdown, the other half is moving up, and conversely. Forthe other modes the situation is similar.34

Step 2Tuning is done by changing the tension T. Our formulafor the frequencyof un with[see (3), Sec. 12.2] confirms that effect because itshows that the frequency is proportional to the tension.T cannot be increased indefinitely, but can you seewhat to do to get a string with a high fundamentalmode? (Think of both L and .) Why is a violinsmaller than a double-bass?35

(11)(n 1, 2, )Step 3The eigenfunctions (11) satisfy the wave equation (1)and the boundary conditions (2) (string fixed at theends). A single un will generally not satisfy the initialconditions (3). But since the wave equation (1) islinear and homogeneous, it follows from FundamentalTheorem 1 in Sec. 12.1 that the sum of finitely manysolutions un is a solution of (1). To obtain a solutionthat also satisfies the initial conditions (3), we considerthe infinite series (withas before)(12)36

(3)Step 3Satisfying Initial Condition (3a) (Given InitialDisplacement). From (12) and (3a) we obtain(13)Hence we must choose the Bn’s so that u(x,0) becomesthe Fourier sine series of f(x). Then, by (4) in Sec.11.3,(14)37

(3)Step 3Satisfying Initial Conditions (3b) (Given InitialVelocity). Similarly, by differentiating (12) withrespect to t and using (3b), we obtainHence we must choose the ’s so that for t 0 thederivativebecomes the Fourier sine series ofg(x). Thus, again by (4) in Sec. 11.3,38

Step 3Since, we obtain by division(15)Result. Our discussion shows that u(x,t) given by (12)with coefficients (14) and (15) is a solution of (1) thatsatisfies all the conditions in (2) and (3), provided theseries (12) converges and so do the series obtained bydifferentiating (12) twice termwise with respect to xand t and have the sumsand,respectively, which are continuous.39

Step 3Solution (12) Established. According to ourderivation, the solution (12) is at first a purely formalexpression, but we shall now establish it. For the sakeof simplicity we consider only the case when the initialvelocity g(x) is identically zero. Then theare zero,and (12) reduces to(16)It is possible to sum this series, that is, to write theresult in a closed or finite form.40

(13)Step 3For this purpose we use the formula [see (11), App.A3.1]Consequently, we may write (16) in the formThese two series are those obtained by substituting x-ctand x ct, respectively, for the variable x in the Fouriersine series (13) for f(x), Thus(17)41

Step 342Where f* is the odd periodic extension of f with theperiod 2L (Fig. 289). Since the initial deflection f(x) iscontinuous on the intervaland zero at theendpoints, it follows from (17) that u(x,t) is acontinuous function of both variables x and t for allvalues of the variables. By differentiating (17) we seethat u(x,t) is a solution of (1), provided f(x) is twicedifferentiable on the interval, and has onesided second derivatives at x 0 and x L, which arezero. Under these conditions u(x,t) is established as asolution of (1), satisfying (2) and (3) with g(x) 0.

Step 3Generalized Solution. Ifandare merelypiecewise continuous (see Sec. 6.1), or if those onesided derivatives are not zero, then for each t there willbe finitely many values of x at which the secondderivatives of u appearing in (1) do not exist. Exceptat these points the wave equation will still be satisfied.We may then regard u(x,t) as a “generalized solution,”as it is called, that is, as a solution in a broader sense.For instance, a triangular initial deflection as inExample leads to a generalized solution.43

Step 3Physical Interpretation of the Solution (17). Thegraph ofis obtained from the graph ofby shifting the latter ct units to the right (Fig. 290).This means thatrepresents a wave thatis traveling to the right as t increases. Similarly,represents a wave that is traveling to the left, and u(x,t)is the superposition of these two waves.44

Example 1Find the solution of the wave equation (1) satisfying (2)and corresponding to the triangular initial deflectionand initial velocity zero. (Figure 291 showson the top.)45

Example 1Solution. Since g(x) 0, we havein (12), andfrom Example 4 in Sec. 11.3 we see that the Bn aregiven by (5), Sec. 11.3. Thus (12) takes the formFor graphing the solution we may use u(x,0) f(x) andthe above interpretation of the two functions in therepresentation (17). This leads to the graph shown inFig. 291.46

Example 147

12.5 Modeling: Heat Flow from aBody in Space. Heat Equation48

Heat EquationPhysical assumptions1. The specific heat and the density of the materialof the body are constant. No heat is produced ordisappears in the body.2. Heat flows in the direction of decreasing temperature,and the rate of flow is proportional to the gradient of thetemperature; that is, the velocity v of the heat flow in thebody is of the form(1)is the temperature at a point49andtime3. The thermal conductivity K is constant, as is the casefor homogeneous material and nonextreme temperatures.

Heat EquationLet T be a region in the body bounded by a surface Swith outer unit normal vector n such that thedivergence theorem (Sec. 10.7) applies. Thenis the component of v in the direction of n.Henceis the amount of heat leaving T(ifat some point P) or entering T (ifat P) per unit time at some point P of S through a smallportionof S of area.Hence the total amount of heat that flows across Sfrom T is given by the surface integral50

Heat EquationUsing Gauss’s theorem (Sec. 10.7), we now convertour surface integral into a volume integral over theregion T. Because of (1) this gives [use (3) in Sec. 9.8](2)Hereis the Laplacian of u.51

Heat EquationOn the other hand, the total amount of heat in T iswithH isas before. Hence the time rate of decrease ofThis must be equal to the amount of heat leaving Tbecause no heat is produced or disappears in the body.From (2) we thus obtain52

Heat EquationSince this holds for any region T in the body, theintegrand (if continuous) must be zero everywhere.That is,This is the heat equation. It gives the temperatureu(x,y,z,t) in a body of homogeneous material in space.The constant c2 is the thermal diffusivity. K is thethermal conductivity, the specific heat, and thedensity of the material of the body.53

Heat EquationTheis the Laplacian of u and, with respect to theCartesian coordinates x, y, z, isThe heat equation is also called the diffusion equationbecause it also models chemical diffusion processes ofone substance or gas into another.54

12.6 Heat Equation: Solution byFourier Series55

One-Dimensional Heat EquationConsider the temperature in a long thin metal bar orwire of constant cross section and homogeneousmaterial, which is oriented along the x-axis and isperfectly insulated laterally.Then besides time, u depends only on x, so that theLaplacian reduces to, and the heatequation becomes the one-dimensional heat equation(1)56

One-Dimensional Heat EquationWe shall solve (1) for some important types ofboundary and initial conditions. We have theboundary conditions(2)Furthermore, the initial temperature in the bar at timet 0 is given, say, f(x), so that we have the initialcondition(3)Here we have f(0) 0 and f(L) 0 because of (2).57

One-Dimensional Heat EquationWe shall determine a solution u(x,t) of (1) satisfying (2)and (3) – one initial condition will be enough, asopposed to two initial conditions for the wave equation.StepsSeparation of variablesUse of Furier series58

Step 1. Two ODEs From the HeatEquationSubstitution of a product u(x,t) F(x)G(t) into (1) giveswithandTo separate the variables, we divide by,obtaining(4)The left side depends only on t and the right side onlyon x, so that both sides must equal to constant k. Youmay show that for k 0 or k 0 the only solution u FGsatisfying (2) is.59

Step 1. Two ODEs From the HeatEquationFor negative k -p2 we have from (4)Multiplication by the denominators immediately givesthe two ODEs(5)(6)60

Step 2. Satisfying the BoundaryConditions (2)We first solve (5). A general solution is(7)From the boundary conditions (2) it follows thatSincewould give u 0, we require F(0) 0,F(L) 0 and get F(0) A 0 by (7) and then, with(to avoid);thus,61

Step 2. Satisfying the BoundaryConditions (2)All this was literally the same as in Sec. 12.3. Fromnow on it differs since (6) differs from (6) in Sec. 12.3.We now solve (6). For, as just obtained, (6)becomesIt has the general solutionis a constant. Hence the functions, where(8)are solutions of the heat equation (1), satisfying (2).These are the eigenfunctions of the problem.62

Step 3. Solution of the Entire Problem.Fourier SeriesTo obtain a solution that also satisfies the initialcondition (3), we consider a series of theseeigenfunctions(9)From this and (3) we have63

Step 3. Solution of the Entire Problem.Fourier SeriesHence for (9) to satisfy (3), the ‘s must be thecoefficients of the Fourier sine series, as given by (4)in Sec. 11.3; thus(10)64

Example 1 Sinusoidal InitialTemperatureFind the temperature u(x,t) in a laterally insulatedcooper bar 80 cm long if the initial temperature isand the ends are kept at. Howlong will it take for the maximum temperature in thebar to drop to? Physical data for cooper: density8.92 g/cm3, specific heat 0.092 cal/(g ), thermalconductivity 0.95 cal/(cm sec )65

Example 1 Sinusoidal InitialTemperatureThe initial condition givesHence, by inspection or from (9), we get B1 100,B2 B3 0. In (9) we need, where[cm2/sec].Hence we obtain[sec-1]The solution (9) isAlso,66when

Example 2 Speed of DecaySolve the problem in Example 1 when the initialtemperature isand the other data areas before.Solution. In (9), instead of n 1 we now have n 3., so that the solutionnow isHence the maximum temperature drops towhich is much faster.67in

Example 2 Speed of DecayHad we chosen a bigger n, the decay would have beenstill faster, and in a sum or series of such terms, eachterm has its ow

Chapter 12 Partial Differential Equations 1. 12.1 Basic Concepts of PDEs 2. Partial Differential Equation A partial differential equation (PDE) is an equation involving one or more partial derivatives of an (unknown) function, call it u, that depends on two or

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