Shearer And Levy: Partial Di Erential Equations { Solutions

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Shearer and Levy: Partial Differential Equations – SolutionsHunter Stufflebeam2017ForwardThe following is a collection of my solutions for Michael Shearer and Rachel Levy’s text Partial DifferentialEquations: An Introduction to Theory and Applications. These solutions were worked out over the summerof 2017, and will almost certainly contain errors. If you happen to find any, or have suggestions for moreelegant/interesting/general approaches to problems, please drop me a line at hstufflebeam@utexas.edu. Thefigures and diagrams were made with Mathematica.As an update, I have become to privy to the existence of an errata sheet for the text, which explainssome of the funkiness of certain questions. I have adjusted the problems here to represent what is writtenon the errata sheet, when necessary.Contents1 Introduction1.1 . . . . . .1.2 . . . . . .1.3 . . . . . .1.4 . . . . . .1.5 . . . . . .1.6 . . . . . .1.7 . . . . . .1.8 . . . . . .1.9 . . . . . .1.10 . . . . . .223333445662 Beginnings2.1 . . . . .2.2 . . . . .2.3 . . . . .2.4 . . . . .2.5 . . . . .2.6 . . . . .8810101112143 First Order PDE3.1 . . . . . . . . .3.2 . . . . . . . . .3.3 . . . . . . . . .3.4 . . . . . . . . .3.5 . . . . . . . . .3.6 . . . . . . . . .3.7 . . . . . . . . .3.8 . . . . . . . . .3.9 . . . . . . . . .15151516161718182021.1

3.103.113.123.133.143.154 4Wave Equation. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .2424252526272830303131325 The Heat Equation336 Separation of Variables and Fourier Series337 Eigenfunctions and Convergence of Fourier Series338 Laplace’s Equation and Poisson’s Equation339 Green’s Functions and Distributions3310 Function Spaces3311 Elliptic Theory and Sobolev Spaces3312 Traveling Wave Solutions of PDE3313 Scalar Conservation Laws3314 Systems of First Order Hyperbolic PDE3315 The Equations of Fluid Mechanics331Introduction1.1Show that the traveling wave u(x, t) f (x 3t) satisfies the linear transport equation ut 3ux 0 for anydifferentiable function f : R R.Solution. This is obvious: if f is differentiable then ut 3f 0 (x 3t) and ux f 0 (x 3t). Hence ut 3ux 3f 0 (x 3t) 3f 0 (x 3t) 0.2

1.2Find an equation relating the parameters k, m, n so that the function u(x, t) emt sin(nx) satisfies the heatequation ut kuxx .Solution. We have ut mu(x, t) and uxx n2 u(x, t). Hence, u will satisfy the heat equation aboveprovided that m kn2 .1.3Find an equation relating the parameters c, m, n so that the function u(x, t) sin(mt) sin(nx) satisfies thewave equation utt c2 uxx .Solution. We have utt m2 u(x, t) and uxx n2 u(x, t). Hence, u will satisfy the wave equation aboveprovided that m2 c2 n2 .1.4Find all functions a, b, c : R R such that u(x, t) a(t)e2x b(t)ex c(t) satisfies the heat equation ut uxxfor all x, t.Solution. We have ut a0 (t)e2x b0 (t)ex c0 (t) and uxx 4a(t)e2x b(t)ex . If u satisfies the heat equationabove, then 4a(t) a0 (t), b(t) b0 (t), and c0 (t) 0. As such, we conclude that a, b, c in general have theforms a(t) λ1 e4t , b(t) λ2 ex , and c(t) λ3 for λi R.1.5For m 1, define the conductivity k k(u) so that the porous medium equation ut 2 (um ) can bewritten as the quasilinear heat equation ut · (k(u) u)Solution. We first recall that, in general, if f, g : Rm R are differentiable, then · (g f ) h g, f i g 2 f.Define k k(u) mum 1 . Then we havennXXmut (u ) (u )xi xi (mum 1 uxi )xi2mi 1i 1 nX{m(m 1)um 2 u2xi mum 1 uxi xi }i 1 m(m 1)um 2 k uk2 mum 1 2 uOn the other hand, by the first remark · (k(u) u) h k(u), ui k(u) 2 uand sinceh k(u), ui h mum 1 , ui m(m 1)um 2 h u, ui m(m 1)um 2 k uk2we see that indeed ut · (k(u) u) with the conductivity k(u) mum 1 .3

1.6Solve the initial value problem x , t 0,ut 4ux 1,2 1u(x, 0) (1 x ) x .,Solution. The general form of the solution is u(x, t) f (x 4t) for some differentiable f : R R. By the1initial data, we have f (x) 1 x2 for all x R. Hence, the particular solution of the IVP isu(x, t) 1.1 (x 4t)2Figure 1: u(x, t)1.7Solve the initial boundary value problemut 4ux 0,u(x, 0) 0, tu(0, t) te ,0 x , t 0,0 x ,t 0.Why is there no solution if the PDE is changed to ut 4ux 0?Solution. The general solution is again of the form u(x, t) f (x 4t) for some differentiable functionf : R R. By the first boundary condition we have that f (x) 0 whenever t 0 and x 0. By the secondboundary condition we have f ( 4t) te t whenever x 0 and t 0. When x 4t 0, both imply that fvanishes. From the above, we gather that(0ξ 0f (ξ) ξ ξ4 4eξ 0which implies that the solution u of the BVP is(0u(x, t) x 4t4 x 4t4 e4x 4yx 4t

Figure 2: u(x, t) Note that Mathematica is having some trouble on the line x 4tSuppose, on the other hand, that the PDE were changed to ut 4ux 0. Then the general form ofthe solution would be u(x, t) f (x 4t), and the boundary conditions would give contradictory data, e.g.u(x, 0) f (x) 0 for all x 0 at the same time that u(0, t) f (4t) te t 0 when t 0.1.8Consider the linear transport equation ut cux 0 with initial and boundary conditionsu(x, 0) φ(x),if x 0,u(0, t) ψ(t),if t 0.where φ, ψ : [0, ) are differentiable.(a) Suppose the data φ, ψ are differentiable functions. Show that the function u : Q1 R given by(φ(x ct) x ct,u(x, t) ψ(t xc ) x 6 ctsatisfies the PDE away from the line x ct, the boundary condition, and the initial condition.(b) In the solution above, the line x ct which emerges from the origin x t 0 separates the quadrantQ1 into two regions. On the line, the solution has one-sided limits given by φ, ψ. Consequently, thesolution will in general have singularities on the line.(i) Find conditions on the data φ, ψ so that the solution is continuous across the line x ct.(ii) Find conditions on the data φ, ψ so that the solution is differentiable across the line x ct.Solution. (a) We have( cφ(x ct) x ctut ψ(t xc )x 6 ctand(ux henceφ(x ct)x ct1x c ψ(t c ) x 6 ct( cφ(x ct) cφ(x ct) 0 x ctut cux ψ(t xc ) ψ(t xc ) 0x ctprovided that we are also away from the boundary of Q1 .5

(b)(i) This seems to always be the case, since by the boundary conditions we get that φ(0) u(0, 0) ψ(0)(and finite!), which is exactly what we need to know to conclude that u is continuous across the linex ct. Indeed, if ((xk , tk )) is any sequence in Q1 which tends to a point (ξ, τ ) on the line x ct,then we can say the following: u takes the value u0 φ(0) ψ(0) along the line x ct, so it sufficesto show that for any ε 0 we can find a K Z 1 such that u(xk , tk ) B(u0 ; ε) for all k K.This is true, however, given the fact that both φ(x) and ψ(t) are continuous. We can simply chooseK so large such that all points of the sequence after time K lie in a ball about (ξ, τ ) small enoughso that φ(xk ctk ) B(u0 φ(0); ε) (in the case when xk ctk ) and ψ(tk xck ) B(u0 ψ(0); ε)(in the case when x 6 ctk ) for all k K. Hence, u(xk , tk ) u0 , so u is continuous across the linex ct.(ii) If we want u to be differentiable across the line x ct, then we must have cφ0 (0) ψ 0 (0). Indeed,this comes from the results above, since if cφ0 (0) ψ 0 (0), we can unambiguously define ut andux on the line x ct. If you look closely at the piecewise definitions of ut and ux above, you willsee that we actually get this condition for free as well, so as stated the solution is differentiableover the line x ct.As an aside, it may be possible that the intended problem involved NOT having data about how φ andψ behave at 0. If this is the case, then the conditions φ(0) ψ(0) and cφ0 (0) ψ 0 (0) are not had for free,and must be imposed to ensure continuity and differentiability, respectively, over the line x ct.1.9Let f : R R be differentiable. Verify that if u(x, t) is differentiable and satisfies u f (x ut), then u(x, t)is a solution of the initial value problemut uux 0,u(x, 0) f (x), x , t 0 x .Solution. It is immediately evident that u(x, 0) f (x) for all x. We then calculate ut (u ut t)f 0 (x ut)and ux (1 ux t)f 0 (x ut), from which we gatherut uux (u ut t)f 0 (x ut) u(1 ux t)f 0 (x ut) ut tf 0 (x ut) uux tf 0 (x ut) (ut uux )tf 0 (x ut)which gives us the relation(ut uux )(1 tf 0 (x ut)) 0.Since R is a field one of these factors must be zero; we show that in fact ut uux always vanishes, whichproves that u is a solution of the IVP. By inspection, the only thing we need to be worried about is thepossibility of having f 0 (x ut) 1t for some positive time. Recalling that ux (1 ux t)f 0 (x ut), if forsome positive time t it were true that f 0 (x ut ) t1 , then we would have ux t t t1 ux t t whichyields the absurdity 0 t1 . Thus, f 0 (x ut) 6 1t for all positive time, and we conclude that ut uux 0for all time t 0. Hence u as described is a solution of the IVP.1.10Let(1 x2u0 06 1 6 x 6 1otherwise.

(a) Use the equation u u0 (x ut) to find a formula for the solution u u(x, t) of the inviscid Burgersequation ut uux 0 with 1 x 1 and 0 t 12 .(b) Verify that u(1, t) 0 for all 0 t 12(c) Differentiate the formula to find ux (1 , t), and deduce that ux (1 , t) as t 1 2 .Note that ux (x, t) is discontinuous at x 1.Solution. (a)(1 (x ut)2u u0 (x ut) 0 1 6 x ut 6 1otherwiseProvided that x ut [ 1, 1], then, we can write u 1 (x ut)2 1 x2 2uxt u2 t2 . Rearranging,we find thatt2 u2 (1 2xt)u x2 1 0.By the quadratic formula,u(x, t) (2xt 1) p(1 2xt)2 4t2 (x2 1).2t2where we must take the conjugate root solution, since the conjugate solution does not satisfy 1 6 x ut 6 1 over the region ( 1, 1) (0, 12 ).Figure 3: u(x, t)Figure 4: Graph of x ut corresponding to the conjugate solution for u(x, t)7

Figure 5: Graph of x ut corresponding to the conjugate solution for u(x, t) 2t 1 (1 2t)2(b) Note first that 1 2t 0 for 0 t 12 . Then u(1, t) 2t 1 (1 2t) 0 for all2t22t210 t 2.(c) By direct computation,2t 1 ux (x, t) 2t2soux (1 , t) which clearly tends to as t 2t(1 2xt)2 4t2 (x2 1)2t 1 2t1 2t2t2 2t 11 22tt(1 2t)1 2 .To see what this actually means, consider Figure 3. ux (1 , t) is the slope of the wave front at time t,and as time goes to 12 , this slope becomes infinitely steep, resulting in the shock.2Beginnings2.1(a) Determine the type of the equation uxx uxy ux 0(b) Determine the type of the equation uxx uxy αuyy ux u 0 for each real value of the parameterα.(c) Determine the type of the equation utt 2uxt uxx 0. Verify that there are solutions u(x, t) f (x t) tg(x t) for any twice differentiable functions f, g.(d) The equation (1 y)uxx x2 uxy xuyy 0 is hyperbolic, elliptic, or parabolic depending on the locationof (x, y) in the plane. Find a formula to determine where in the x y plane the equation is hyperbolic.Sketch the x y plane and label where the equation is hyperbolic, where it is elliptic, and where it isparabolic.Solution. (a) The principal symbol for the equation is L(p) [ξ1 , ξ2 ] ξ12 ξ1 ξ2 , which informs us that b2 ac,since 1 0. Hence, the PDE is hyperbolic.8

(b) The principal symbol for the equation is L(p) [ξ1 , ξ2 ] ξ12 ξ1 ξ2 αξ22 , which informs us that 0 α ( , 1)b2 ac 1 α is 0 α 1. 0 α (1, )Hence, the PDE is hyperbolic when α ( , 1), parabolic when α 1, and elliptic when α (1, ).(c) The principal symbol for the equation is L(p) [ξ1 , ξ2 ] ξ12 2ξ1 ξ2 ξ22 , which informs us that b2 ac,since 4 1. Hence, the PDE is hyperbolic. Suppose that f, g C 2 , and that u(x, t) f (x t) tg(x t).Thenutt f 00 (x t) 2g 0 (x t) tg 00 (x t)uxt f 00 (x t) g 0 (x t) tg 00 (x t)uxx f 00 (x t) tg 00 (x t)hence utt 2uxt uxx 0.(d) The principal symbol for the equation is L(p) [ξ1 , ξ2 ] (1 y)ξ12 x2 ξ1 ξ2 xξ22 , which says that b2 ac x4 x(1 y).Figure 6: Graph of b2 ac x4 x(1 y)The main item of interest is the region of the plane where this function is positive, since that is wherethe PDE is hyperbolic:Figure 7: Graph of b2 ac x4 x(1 y) 0. The function is positive of the shaded region, negativeon the light region, and zero on the boundary.9

Thus, we see that the PDE is hyperbolic on the shaded region, elliptic on the light region, and parabolicon the boundary between the two.2.2Show that with the change of variables y Bx, the principal symbol ofnXL(p) [ξ] ξ (ξ1 , . . . , ξn )taij ξi ξj ,i,j 1corresponding tonXaij uxi xj f (x, u, ux1 , . . . , uxn )i,j 1has coefficients cij given by C BAB T , where C (cij ).Solution. With y Bx, we have that yi bij xj , hence yi xj bij . We thus write yk ykaij uxi uxj aij uykuyk xi xj aij (uyk bki ) (uyk bkj ) aij uys uyt bsi btj bsi aij bTjt uys uyt cst uys uytwhere cst is the s, t entry of the matrix C BAB T , as well as the s, t coefficient of the principal symbolafter the change of variable.2.3For the seriesu(x, y) X1uk (x)y kk!k 0write formulas for u3 (x) and u4 (x) in terms of derivative of the functions a, b, c, f, g, h, and G.Solution. It’s silly to work these out, since the whole process just comes down to rote calculation. I’ll do allthe work for u3 (x), but will just remark on how one would go about computing u4 (x).We have the following three relations from the initial data and the assumption that c is nonzero in someneighborhood including y 0:uyy 1(f (x, y, u, ux , uy ) a(x, y)uxx 2b(x, y)uxy )c(x, y) xm u(x, 0) ux · · · x (x, 0) g (m) (x) {z }m times xm uy (x, 0) ux · · · x y (x, 0) h(m) (x) {z }m times10

and we have the following worked out already:u0 (x) u(x, 0) g(x)u1 (x) uy (x, 0) h(x)1u2 (x) uyy (x, 0) (f (x, 0) a(x, 0)g 00 (x) 2b(x, 0)h0 (x))c(x, 0)To calculate u3 (x), we want to find uyyy (x, 0). Differentiating uyy with respect to y, we find thatuyyy 1cx(f auxx 2buxy ) (fy ay uxx auxxy 2by uxy 2buxyy )2ccIf you look carefully, you will notice that we know the values of everything in sight at (x, 0) except foruxyy (x, 0). To find it, we differentiate uyy with respect to x, we find thatuyyx uxyy 1cy(f auxx 2buxy ) (fx ax uxx auxxx 2bx uxy 2buxyx )2ccand here we do know the values of everything in sight at (x, 0). Note that everything being smooth in someopen neighborhood is also important since it means we can permute the set of variables we are differentiatingwith respect to. Substituting this expression for uxyy into the one for uyyy and evaluating at (x, 0) gives usan expression for u3 (x) in terms of things we know. Out of morbid curiosity, it ends up beingu3 (x) uyyy (x, 0) 1cy (x, 0)u2 (x) (fy (x, 0) ay (x, 0)g 00 (x) a(x, 0)h00 (x) 2by (x, 0)h0 (x) 2b(x, 0)uxyy (x, 0)).c2 (x, 0)c(x, 0)The expression for u4 (x) is undoubtedly worse, but we comment on why we can find it. In the samespirit as above, we first differentiate uyyy with respect to y, but find it has the terms uxxyy and uxyyy wedon’t yet know. The first can be found by differentiating uxyy with respect to x, which is something we endup knowing, and the second by either differentiating uxyy with respect to y or uyyy with respect to x, andsubsequently substituting in our new-found expression for uxxyy . Piecing everything together and evaluatingat (x, 0), we can assuredly calculate u4 (x).2.4Show that ζ C (R), where(0ζ(x) 1e xx 6 0,x 0Solution. If x 0, then ζ is clearly C since it is constant in a sufficiently small neighborhood. If x 0,again ζ is visibly C because mindless calculation shows ζ (n) is some Laurent polynomial times ζ, which isdifferentiable since we are always away from 0. The only thing to check, then, is that ζ is C at the origin,which we do by showing that the limits limt 0 ζ (n) (t) limt 0 ζ (n) (t) for all n. The left hand side limitis clearly 0, since ζ vanishes in a sufficiently small neighborhood of every point less than zero. the item ofinterest is thus the right hand side limit, which is a limit of the derivatives ζ (n) we said we could alwayscalculate earlier. This limit is indeed zero, which can be proven using a change of variables and L’Hopital’srule. We prove a more general claim, which follows from the next observation. If p(x) is any polynomialpn x nwe may use L’Hopital’s rule.under the sun, then p(x)ex tends to 0 as x . Indeed, for each term exthSince the quotient of the n derivatives of the top and bottom of this term is penxn! , which tends to 0 asx , repeated n-fold application of L’Hopital’s rule proves that the original term grows arbitrarily smallas x grows large. Since this is true for every term of the polynomial (note we could even do this for infinitepolynomials using a standard epsilon trick in measure theory, bounding the nth term by 2εn ), we see that11

p(x)extends to 0 as x . Now, make the change of variables x 7 x1 , and conclude that for any polynomial1p(x), the quotient p( x1 )e x tends to 0 as x 0.1Now, since every ζ (n) for x 0 is of the form p( x1 )e x , we see that the right hand side limit is 0 forevery n. Altogether, we have shown that ζ is smooth on all of R.Remark 2.1. Shearer and Levy are a bit unclear about what phase velocity and group velocity are. Supposethat a PDE has a solution of the form eiξx σt ei(ξx ωt) . The phase velocity is ωξ and the group velocityis dωdξ (sometimes both written with a -). We say a PDE is non-dispersive if the dispersion relation σ(ξ) islinear in ξ, which implies that

Shearer and Levy: Partial Di erential Equations { Solutions Hunter Stu ebeam 2017 Forward The following is a collection of my solutions for Michael Shearer and Rachel Levy’s text Partial Di erential Equations: An Introduction to Theory and Applications. These solutions were worked out over the summer of 2017, and will almost certainly contain .

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