Partial Differential Equations (PDEs)

Size: px
Start display at page:

Download "Partial Differential Equations (PDEs)"

Transcription

1 c12.qxd 7/19/11 2:6 PM Page 238 CHAPTER 12 Partial Differential Equations (PDEs) SECTION 12.1 Basic Concets of PDEs, age 54 Purose. To familiarize the student with the following: Concet of solution, verification of solutions Suerosition rincile for homogeneous linear PDEs PDEs solvable by methods for ODEs SOLUTIONS TO PROBLEM SET 12.1, age c 1, u tt 4 u xx. Problems 2 13 should give the student a first imression of what kind of solutions to exect, and of the great variety of solutions comared with those of ODEs. It should be emhasized that although the wave and the heat equations look so similar, their solutions are basically different. It could be mentioned that the boundary and initial conditions are basically different, too. Of course, this will be seen in great detail in later sections, so one should erhas be cautious not to overload students with such details before they have seen a roblem being solved. 3. c Any c and k 5. c a>b. 6. c 2; u t 4u; u xx e 4t cos x 8. u t 9u c 2 v 2 u, c 3>v 14. Team Project. (a) Denoting derivatives with resect to the entire argument x ct and x ct, resectively, by a rime, we obtain by differentiating twice u xx vs ws, u tt vsc 2 wsc 2 and from this the desired result. (c) The student should realize that u 1> 2x 2 y 2 is not a solution of Lalace s equation in two variables, but satisfies the remarkable Poisson equation shown under (b). 16. Integrate twice with resect to y, u y c 1 (x), u c 1 (x)y c 2 (x) With the constants of integration c 1 (x) and c 2 (x) arbitrary. Problems will hel the student get used to the notations in this chater; in articular, y will now occur as an indeendent variable. Second-order PDEs in this set will also hel review the solution methods in Cha. 2, which will lay a role in searating variables. 18. u c 1 (x)e.4y c 2 (x)e.4y 2. The characteristic equation is 2l 2 9l 4 2(l 4)(l 1 2 ).

2 c12.qxd 7/19/11 2:6 PM Page 239 Instructor s Manual 239 Hence a general solution of the homogeneous PDE is u h (x, y) c 1 ( y)e 4x c 2 ( y)e.5x. A articular solution u of the nonhomogeneous PDE is obtained by the method of undetermined coefficients, u (x, y) 3 cos x sin x. 22. Set u to get v y v, v y >v 1, v c(x)e y x v, and u v dx c 1 (x)e y c 2 ( y). 24. By the given PDE and the chain rule, (A) yz x xz y y(z r r x z u u x ) x(z r r y z u u y ). Differentiate r 2 x 2 y 2 by arts and divide by 2r, (B) Now z r r x x>r, r y y>r. has in (A) the coefficients (use (B)) yr x xr y yx>r xy>r so that (A) reduces to z u. That is, z(r, u) deends only on r, not on the angle u, as for a shere, a circular cylinder, and so on. SECTION Solution by Searating Variables. Use of Fourier Series, age 545 Purose. This first section in which we solve a big roblem has several uroses: 1. To familiarize the student with the wave equation and with the tyical initial and boundary conditions that hysically meaningful solutions must satisfy. 2. To exlain and aly the imortant method of searation of variables, by which the PDE is reduced to two ODEs. 3. To show how Fourier series hel to get the final answer, thus seeing the reward of our great and long effort in Cha To discuss the eigenfunctions of the roblem, the basic building blocks of the solution, which lead to a deeer understanding of the whole roblem. Stes of Solution 1. Setting u F(x)G(t) gives two ODEs for F and G. 2. The boundary conditions lead to sine and cosine solutions of the ODEs. 3. A series of those solutions with coefficients determined from the Fourier series of the initial conditions gives the final answer. SOLUTIONS TO PROBLEM SET 12.3, age If Assumtion 3 is violated, the string can move in various lanes. For large dislacements and> or angles the PDE would no longer be linear and have constant coefficients. Lack of elasticity entails loss of mechanical energy by conversion into heat (daming).

3 c12.qxd 7/19/11 2:7 PM Page Instructor s Manual If homogeneity were droed, it is hard to see what would haen; one would first have to be secific and state in what way homogeneity is changed and erhas suort theoretical results by hysical exeriments. 5. k cos 2t sin 2x 6. k(cos t sin x cos 2t sin 2x) k 8. (12 cos (t) sin (x) cos (2t) sin (2x) 4 cos (3t) sin (3x) 9 3 cos (4t) sin (4x) >3 12 cos(t) sin(x) cos(2t) sin(2x) 2> cos(3t) sin(3x) Á x a1 4 cos 2t sin 2x 1 1 cos 6t sin 6x 36 1 cos 1t sin 1x Á b There are more grahically osed roblems than in revious editions, so that CASusing students will have to make at least some additional effort in solving these roblems acos t sin x 1 9 cos 3t sin 3x 1 cos 5t sin 5x cos 7t sin 7x Á b (9>2 1>2 13) cos(t) sin(x) (9>2 13) cos(2t) sin(2x) 3 3>8 3 3 (9>2 2 13) cos(4t) sin(4x) 64 Á u a B n * sin nt sin nx, B n *.4 n 3 sin n 2 n1 16. F n sin (nx>l), G n a n cos (cn 2 2 t>l 2 ) 18. For the string the frequency of the nth mode is roortional to n, whereas for the beam it is roortional to n F() A C, C A, Fr() b(b D), D B. Then F(x) A(cos bx cosh bx) B(sin bx sinh bx) Fs(L) b 2 [A(cos bl cosh bl) B(sin bl sinh bl)] Ft(L) b 3 [A(sin bl sinh bl) B(cos bl cosh bl)]. The determinant (cos bl cosh bl) 2 sin 2 bl sinh 2 bl of this system in the unknowns A and B must be zero, and from this the result follows. 3

4 c12.qxd 7/19/11 2:7 PM Page 241 Instructor s Manual 241 From (23) we have cos bl 1 cosh bl because cosh bl is very large. This gives the aroximate solutions bl 1 (more exactly, 1.875, 4.694, 7.855, Á 2, 3 2, 5 2, Á ). SECTION D, Alembert, s Solution of the Wave Equation. Characteristics, age 553 Purose. To show a simler method of solving the wave equation, which, unfortunately, is not so universal as searation of variables. Comment on Order of Sections Section on the solution of the wave equation by the Lalace transform may be studied directly after this section. We have laced that material at the end of this chater because some students may not have studied Cha. 6 on the Lalace transform, which is not a rerequisite for Cha. 12. Comment on Footnote 1 D Alembert s Traité de dynamique aeared in 1743 and his solution of the vibrating string roblem in 1747; the latter makes him, together with Daniel Bernoulli ( ), the founder of the theory of PDEs. In 1754 d Alembert became Secretary of the French Academy of Science and as such the most influential man of science in France. SOLUTIONS TO PROBLEM SET 12.4, age u(, t) 1 2[ f (ct) f (ct)], f (ct) f (ct), so that f is odd. Also u(l, t) 1 2[ f (ct L) f (ct L)] hence f (ct L) f (ct L) f (ct L). This roves the eriodicity. 3. c 2 45>(1.5)>(3 9.8)) [m 2 >sec 2 ] n n 2 9. Ellitic, u f 1 (y 3ix) f 2 (y 3ix) 1. Hyerbolic, wave equation. Characteristic equation New variables are yr 2 16 ( yr 4)( yr 4). v y 4x, w y 4x.

5 c12.qxd 7/19/11 2:7 PM Page Instructor s Manual By the chain rule, u xx 16u vv 16u vw 16u wv 16u ww and 16u yy 16u vv 16u vw 16u wv 16u ww. Assuming u vw u wv, as usual, we have u vw, solvable by two integrations, as shown in the text. 11. Parabolic, u xf 1 (2x y) f 2 (2x y) 12. Parabolic. Characteristic equation New variables v x, w x y. By the chain rule, Substitution of this into the PDE gives the exected normal form 14. Hyerbolic. New variables x v and xy w. The latter is obtained from xyr y, u x 4u v 4u w yr 2 2yr 1 ( yr 1) 2. u x u v u w u xx u vv 2u vw u ww u xy u vw u ww u yy u ww. u vv. yr y 1 x, ln ƒ y ƒ ln ƒ x ƒ c. By the chain rule we obtain, in these new variables from the given PDE by cancellation of yu yy against a term in xu xy and division of the remaining PDE by x, the PDE u w xu vw. (The normal form is u vw u w >x u w >v.) We set u w z and obtain 1 c(w) z v v z, z v. By integration with resect to w we obtain the solution u 1 v f 1(w) f 2 (v) 1 x f 1(xy) f 2 (x). Note that the solution of the next roblem (Problem 15) is obtained by interchanging x and y in the resent roblem. 16. Ellitic. The characteristic equation is yr 2 2yr 1 3yr (1 3i)43yr (1 3i)4. Comlex solutions are y (1 3i) x const, y (1 3i) x const.

6 c12.qxd 7/19/11 2:7 PM Page 243 Instructor s Manual 243 This gives the solutions of the PDE: u f 1 ( y (1 3i)x) f 2 ( y (1 3i)x). Since the PDE is linear and homogeneous, real solutions are the real and the imaginary arts of u. 18. Parabolic. Characteristic equation yr 2 6yr 9 ( yr 3) 2. New variables v x, w y 3x. By the chain rule, u x u v 3u w u xx u vv 6u vw 9u ww u xy u vw 3u ww u yy u ww. Substitution into the PDE gives the exected normal form u vv 6u vw 9u ww Solution 6u vw 18u ww 9u ww u vv. u f 1 (v) f 2 (w) f 1 (x) f 2 ( y 3x) f 1 f 2 where and are any twice differentiable functions of the resective variables. 2. The Tricomi equation is ellitic in the uer half-lane and hyerbolic in the lower, because of the coefficient y. u F(x)G( y) gives yfsg FGs, and k 1 gives Airy s equation. Fs F Gs yg k SECTION Heat Equation: Solution by Fourier Series. Steady Two-Dimensional Heat Problems. Dirichlet Problem, age 558 Purose. This section has two uroses: 1. To solve a tyical heat roblem by stes similar to those for the wave equation, ointing to the two main differences: only one initial condition (instead of two) and u t (instead of u tt ), resulting in exonential functions in t (instead of cosine and sine in the wave equation). 2. Solution of Lalace s equation (which can be interreted as a time-indeendent heat equation in two dimensions). Comments on Content Additional oints to emhasize are More raid decay with increasing n, Difference in time evolution in Figs. 295 and 291,

7 c12.qxd 7/19/11 2:7 PM Page Instructor s Manual Zero can be an eigenvalue (see Examle 4), Three standard tyes of boundary value roblems, Analogy of electrostatic and (steady-state) heat roblems. Problem Set 12.6 includes additional heat roblems and tyes of boundary conditions. SOLUTIONS TO PROBLEM SET 12.6, age (c 2 2 >L 2 )2 ln 2, c 2.35L 2 u 32 2 asin.1xe.17522t 1 sin 2 t.3xe.1752(3) sin.5xe.1752(5)2t Á b 8. u I U 1 (U 2 U 1 )x>l. This is the solution of (1) with u>t satisfying the boundary conditions. 1. u(x, ) f (x) 1, U 1 1, U 2, u I 1 1x. Hence B n [1 (1 1x)] sin nx 1 dx x sin nx 1 dx 2 n cos n (1)n1 n # This gives the solution u(x, t) 1 1x a For x 5 this becomes u(5, t) e 1.729t 1 3 e1.556t 1 5 e4.323t Á 4. Obviously, the sum of the first few terms is a good aroximation of the true value at any t. We find: t u(5, t) 1 99 n (1) n1 n sin nx 2t 1 e1.752(n>1) u 1>2 2 4 cos (x) e t 4>9 cos (3x) e 9t 4 25 cos (5x) e25t Á 13. u u(x, t) cos 4x e 16t (Due to orthogonality all the terms excet for n 4 vanish. When n 4, the integral evaluates to 1).

8 c12.qxd 7/19/11 2:8 PM Page 245 Instructor s Manual ( 2) 8 cos (x) e t 8 9 cos (3x) e9t 8 25 cos (5x) e25t Á 16. c 2 v xx v t, v(, t), v(, t), v(x, ) f (x) Hx(x )>(2c 2 ), so that, as in (9) and (1), 18. u 44 a n1 Hx(x ) u(x, t) 2c 2 B n 2 af (x) a B n sin nx e c2 n 2 t n1 Hx(x ) 2c 2 b sin nx dx. where 1 (2n 1)x (2n 1)y sin sinh (2n 1) sinh 2(2n 1) u 5 asin 1 4 x sinh 1 4 yb>sinh 2. CAS Project. (a) u 8 (sin x sinh y)>sinh 2 (b) u y (x,, t), u y (x, 2, t), u 21. u 128 a 1 (2n 1)x (2n 1)y n1 sin sinh (2n 1) sinh(2n 1) u u I u II, where u I 4U 1 u II 4U a n1 a n1 1 (2n 1)x sin 2n (2n 1)x sin 2n 1 24 sinh 3(2n 1)y>244 sinh (2n 1) sinh 3(2n 1)(1 y>24)4. sinh (2n 1) 24. u F(x)G( y), F A cos x B sin x, u x (, y) Fr()G( y), B, G C cosh y D sinh y, u y (x, b) F(x)Gr(b), C cosh b, D sinh b, G cosh ( b y). For u cos x cosh (b y) we get u x (a, y) hu(a, y) ( sin a h cosh a) cosh (b y). Hence must satisfy, which has infinitely many ositive real solutions g 1, g 2, Á tan a h>, as you can illustrate by a simle sketch. Answer: u n cos g n x cosh g n (b y), where g g n satisfies g tan ga h. To determine coefficients of series of u n s from a boundary condition at the lower side is difficult because that would not be a Fourier series, the g n s being only aroximately regularly saced. See [C3], , 167. SECTION Heat Equation: Modeling Very Long Bars. Solution by Fourier Integrals and Transforms, age 568 Purose. Whereas we solved the roblem of a finite bar in the last section by using Fourier series, we show that for an infinite bar (ractically, a long insulated wire) we

9 c12.qxd 7/19/11 2:8 PM Page Instructor s Manual can use the Fourier integral for the same urose. Figure 299 shows the time evolution for a rectangular initial temerature ( 1 C between x 1and 1, zero elsewhere), giving bell-shaed curves as for the density of the normal distribution. We also show tyical alications of the Fourier transform and the Fourier sine transform to the heat equation. Short Courses. This section can be omitted. SOLUTIONS TO PROBLEM SET 12.7, age From (8) and (6) we obtain 3. and thus 4. e v >2 cos v dv 4 (1 4 2 ), B. Hence 5. A 2 u e c2 2t cos x d A 2 u 4 cos x e c2 2 t d (1 4 2 ) A 2 1 A 1 a cos v dv 2 cos v 4 v e2, sin(a) u 2 2 t cos(x)ee 2 d (1 v) cos v dv 2 (1 cos ), etc. sin () cos() 6. A, B 1 1 (v) sin v dv 2, etc Simle straightforward integration. 1. See (36) in A. A u(x, t) U, where t 2 c erf 1 x erf 1 x 2c1t 2c1t d a 2 sin a, B SECTION Modeling: Membrane, Two-Dimensional Wave Equation, age 575 Purose. A careful derivation of the two-dimensional wave equation governing the motions of a drumhead, from hysical assumtions (the analog of the modeling in Sec. 12.2).

10 c12.qxd 7/19/11 2:8 PM Page 247 Instructor s Manual 247 SECTION Rectangular Membrane. Double Fourier Series, age 577 Purose. To solve the two-dimensional wave equation in a rectangle x a, y b ( rectangular membrane ) by searation of variables and double Fourier series. Comment on Content New features as comared with the one-dimensional case (Sec. 12.3) are as follows: 1. We have to searate twice, first by u F(x, y)g(t), then the Helmholtz equation for F by F H(x)Q( y). 2. We get a double sequence of infinitely many eigenvalues l mn and eigenfunctions u mn ; see (9), (1). 3. We need double Fourier series (easily obtainable from the usual Fourier series) to get a solution that also satisfies the initial conditions. SOLUTIONS TO PROBLEM SET 12.9, age Modeling is the art of recognizing and neglecting minor factors and circumstances, and formulating major factors so that they become mathematically accessible, leading to a model that can be solved. No assumtion in any model can be satisfied exactly; in articular, in Assumtion 2 the tension will change during the motion. 4. B mn 8>(mn 2 ) if m, n odd, otherwise 5. B mn 8 m odd, n even mn 2, B mn 24 when both m and n are odd. B mn otherwise. mn 2, 6. B mn 8 when m is odd and n even mn 2, B mn 8 mn 2, when m is even and n is odd; otherwise. 7. For general B mn 4 a(1)m a(1) mn b(1) n b(1) mn m, n, n 2 m B when m is even and n is odd; 8 mn 8a when m is even mn 2, mn 2, and n is odd; otherwise. 8. B mn 64a 2 b 2 >(m 3 n 3 6 ) if m and n are odd, B mn otherwise 1. The rogram will give you etc # # # # # #

11 c12.qxd 7/19/11 2:9 PM Page Instructor s Manual cos 5t sin 4x sin 3y cos 15 t sin 2x sin y 18. A ab, b A>a, so that from (9) with m n 1 by differentiating with resect to a and equating the derivative to zero, we obtain a l 2 11 ; c 2 br a 1 2 a 1 br a 1 2 b 2 a a 2 br 2 2a 2 A 2 a 3 A 2 hence a 4 A 2, a 2 A, b A>a a. SECTION Lalacian in Polar Coordinates. Circular Membrane. Fourier Bessel Series, age 585 Purose. Detailed derivation of the transformation of the Lalacian into olar coordinates. Derivation of the function that models vibrations of a circular membrane. Comment on Content The transformation is a tyical case of a task often required in alications. It is done by two alications of the chain rule. In solving the wave equation we concentrate on the simler case of radially symmetric vibrations, that is, vibrations indeendent of the angle. (For eigenfunctions deending on the angle, see Probs ) We do three stes: 1. u W(r)G(t) gives for W Bessel s equation with, hence solutions W(r) J (kr). 2. We satisfy the boundary condition W(R) by choosing suitable values of k. 3. A Fourier Bessel series (18) hels to get the solution (17) of the entire roblem. Short Courses. This section can be omitted. SOLUTIONS TO PROBLEMS SET 12.1, age If u u(r) and we set ur v, then Hence ln v ln r ~ 2 u us ur>r vr v>r. vr>v 1>r, c ln (c 1 >r), v c 1 >r. By integration, u c 1 ln r c Team Project. (a) r 2 cos 2u r 2 (cos 2 u sin 2 u) x 2 y 2, r 2 sin 2u 2xy, etc. (c) u 4 ar sin u 1 3 r 3 sin 3u 1 5 r 5 sin 5u Á b (d) The form of the series results as in (b), and the formulas for the coefficients follow from u r (R, u) a n1 nr n1 (A n cos nu B n sin nu) f (u). (f) u (r 4>r)(sin u)>3 by searating variables sin(x) 22 3 sin(3x) sin(5x) 44 Á

12 c12.qxd 7/19/11 2:9 PM Page 249 Instructor s Manual r 2 cos 2u r cos(x) 2 r sin(u) 2 9 r 3 cos(3x) 1>2 r 2 sin (2u) 2>9 r 3 sin(3u) 8 r 5 cos(5x) 1>4 r 4 sin (4u) Á Excet for the resence of the variable r, this is just another imortant alication of Fourier series, and we concentrate on a few simle ractically imortant tyes of boundary values. Of course, earlier roblems on Fourier series can now be modified by introducing the owers of r and considered from the resent oint of view. 1. To get u on the x-axis, the idea is to extend the given otential from u skew-symmetrically to the whole boundary circle r 1; that is, 11u( u) if u (given) u(1, u) b 11u( u) if u. Then you obtain (valid in the whole disk and thus in the semidisk) u(r, u) 88 ar sin u r 3 sin 3u r 5 sin 5u Á b. 12. CAS Project. (b) Error.4863 (m 1),.2229,.1435,.156,.691,.589,.513,.454,.48 (m 1) (c) The aroximation of the artial sums is oorest for r. (d) The radii of the nodal circles are u 2 : a 1 >a Comarison.435>.5.87 u 3 : a 1 >a > a 2 >a > u 4 : a 1 >a > a 2 >a >.5.94 a 3 >a > We see that the larger radii are better aroximations of the values of the nodes of the string than the smaller ones. The smallest quotient does not seem to imrove (to get closer to 1); on the contrary, e.g., for u 6 it is.8. The other ratios seem to aroach 1 and so does the sum of all of them divided by m l m >(2) ca m >(2R) increases with decreasing R. 16. The reason is that f () 1. The artial sums equal Á the last value having 3-digit accuracy. Musically the values indicate substantial contributions of overtones to the overall sound. 18. Differentiation brings in a factor 1>l m R>(ca m ). 22. On Notation. n is standard for Legendre olynomials and for Bessel functions of integer order. Hence we needed another letter for numbering the zeros of J 1, J 2, Á, and we took m. Hence, for examle, the ositive zeros of are numbered a 21, a 22, J 2.835,

13 c12.qxd 7/19/11 2:9 PM Page Instructor s Manual a 23, Á. (In the 9th Edition we used the robably less advantageous oosite order a 12, a 22, a 32, Á.) For consistency, we should have numbered the ositive zeros of by a but this would make formulas unnecessarily clumsy, and we wrote a 1, a 2, Á 3, Á J a 1, a 2,,, in articular since the roblem occurred only at the very end, in the last roblems of Sec SECTION Lalace s Equation in Cylindrical and Sherical Coordinates. Potential, age 593 Purose. 1. Transformation of the Lalacian into cylindrical coordinates (which is trivial because of Sec. 12.9) and sherical coordinates; some remarks on areas in which Lalace s equation is basic. 2. Searation of the Lalace equation in sherical coordinates and alication to a tyical boundary value roblem. For simlicity we consider a boundary value roblem for a shere with boundary values deending only on. We do three stes: 1. u G(r)H() and searation gives for H Legendre s equation. 2. Continuity requirements restrict H to Legendre olynomials. 3. A Fourier Legendre series (18) hels to get the solution (17) of the interior roblem. Similarly for the exterior roblem, whose solution is (2). Short Courses. Omit the derivation of the Lalacian in cylindrical and sherical coordinates. SOLUTIONS TO PROBLEM SET 12.11, age By (11r) in Sec. 5.3 we have (cf. Fig. 312) u 1 A 1 r cos if 1 2. This is the xy-lane. Similarly, u 2 A 2 r 2 2 (3 cos2 1) if cos 1 13 and u 3 A 3 r 3 2 (5 cos3 3 cos ) if cos and B By (5), 2 u us ur>r. Searation and integration gives us>ur 1>r, ln ƒ ur ƒ ln ƒ r ƒ c 1. Taking exonents and integrating again gives ur c>r and u c ln r k. 12. u 8 ln r>(ln 2) v F(r)G(t), Fs # k 2 F, G c 2 k 2 G, F n sin (nr>r), G n B n ex (c 2 n 2 2 t>r 2 ), B n 2 R R rf (r) sin nr R dr

14 c12.qxd 7/19/11 2:1 PM Page 251 Instructor s Manual f ~ 2n 1 (w) w, A n Since w P 1 (w) and the P n (w) are orthogonal 2 1 wp n (w) dw. 1 on the interval 1 w 1, we obtain A 1 1, A n (n, 2, 3, Á ). Answer: u r cos. Of course, this is at once seen by integration. 18. By definition, P 2 (cos ) 3 2 cos Hence and 1 cos P 2 (cos ) 2 3 u 2 3 r 2 P 2 (cos ) 2 3 r 2 (cos 2 ) 1 3) u 4r 3 P 3 (cos ) 2r 2 P 2 (cos ) rp 1 (cos ) In Prob. 16, f () cos ; hence u int r cos, u ext r 2 cos. In Prob. 19, f () cos 2; hence f () 2 cos 2 1, so that and thus and 2 cos P 2(cos ) 1 3 u int 4 3 r 2 P 2 (cos ) 1 3 u ext 4 3r 3 P 2 (cos ) 1 3r. 24. Team Project. (a) The two dros over a ortion of the cable of length x are Ri x and L(i>t) x, resectively. Their sum equals the difference u x x u x. Divide by x and let x :. (c) To get the first PDE, differentiate the first transmission line equation with resect to x and use the second equation to relace and u xx Ri x Li xt R(Gu Cu t ) L(Gu t Cu tt ). Now collect terms. Similarly for the second PDE. 1 (d) Set c2. Then u t c 2 u xx, the heat equation. By (9), (1), Sec. 12.6, RC i x i xt: (e) u 4U asin x l e l 1 2t 1 3 u U cos (t>(l1lc sin (x>l) sin 3x l e l 3 2t Á b, l n 2 n2 2 l n RC. SECTION Solution of PDEs by Lalace Transforms, age 6 Purose. For students familiar with Cha. 6 we show that the Lalace transform also alies to certain PDEs. In such an alication the subsidiary equation will generally be an ODE. Short Courses. This section can be omitted.

15 c12.qxd 7/19/11 2:1 PM Page Instructor s Manual SOLUTIONS TO PROBLEM SET 12.12, age w w(x, t), W l{w(x, t)} W(x, s). The subsidiary equation is W and w(x, ) 1. x xl{w t(x, t)} W x x(sw w(x, )) xl(1) x s By simlification, W. x xsw x x s By integration of this first-order ODE with resect to x we obtain For x we have w(, t) 1 and Hence c(s) 1>s 2, so that W c(s)e sx2 >2 1 s 2 1 s. W(, s) l {w(, t)} l {1} 1 s c(s) 1 s 2 1 s. 1 W >2 1. s 2 esx2 s 1 2 s The inverse Lalace transform of this solution of the subsidiary equation is w(x, t) (t 1 2 x 2 ) u(t 1 2 x 2 ) t 1 c t 1 if t 1 2 x 2 1 2x 2 1 if t 1 2 x W C(s)x s 2x (s 1)s 2, W(, s), C(s), w(x, t) 2x(t 1 et ) w(x, t) 1>2 1>2t 1>2 u (t 2 x 2 ) (1 t 2x 2 ) as obtained from W (x, s) s 1 2s 2 e 2x 2 s c(s) with c(s) (s 1)>(2s 2 as obtained from 7. w f(x)g(t), xf r g # ) w(, t) 1, W (, s) 1>s. 2xt, take f(x) x to get g C 1 e t 2t 2 and C 1 2 using the initial condition w(x, ), i.e, g(). 8. W l{w}, W xx (1s 2 1s 25)W (1s 5) 2 W. The solution of this ODE is W c 1 (s)e (1s5)x c 2 (s)e (1s5)x with c 2 (s), so that the solution is bounded. c 1 (s) follows from W(, s) l{w(, t)} l{sin t} 1 s 2 1 c 1(s).

16 c12.qxd 7/19/11 2:11 PM Page 253 Instructor s Manual 253 Hence W 1. s 2 1 e(1s5)x The inverse Lalace transform (the solution of our roblem) is w l 1 {W} e 5x u(t 1x) sin (t 1x), a traveling wave decaying with x. Here u is the unit ste function (the Heaviside function). 1. From W F(s)e (x>c)1s and the convolution theorem we have From this and formula 39 in Sec. 6.9 we get, as asserted, 12. W (x, s) s 1 e 1sx>c, l{u(t)} 1>s, and since w(x, ), Now aly the convolution theorem. w f * l 1 {e k1s }, k x c. t w k f (t t) 2 22t 3 ek >(4t) dt. W(x, s) F(s)sW (x, s) F(s)[sW (x, s) w(x, )] F(s) l e w f. t SOLUTIONS TO CHAPTER 12 REVIEW QUESTIONS AND PROBLEMS, age u A( y) sin 3x B( y) cos 3x 17. u C 1 (x)e 3y C 2 (x)e y u g( y)(1 e x ) f ( y) 19. Hyerbolic, f 1 (x) f 2 (y 2x) 2. Parabolic, yr 2 4yr 4 ( yr 2) 2, v x, z y 2x, u xf 1 ( y 2x) f 2 ( y 2x) 21. Hyerbolic, f 1 (y 3x) f 2 (y 3x) 22. cos 4t sin 2x 23. 5>8 sin (x) cos (2t) 5 sin (3x) cos (6t) 1>16 sin (5x) cos (1t) u 4 acos 2t sin x 1 9 cos 6t sin 3x 1 25 cos 1t sin 5x Á b 26. u 4 x asin 2 1 e.1143t 1 3x sin 9 1 e.129t Á b 28. u 2 12(cos x e t 1 4 cos 2x e 4t 1 9 cos 3x e 9t Á )

17 c12.qxd 7/19/11 2:11 PM Page Instructor s Manual u 32 a1 4 cos 2x e4t 1 36 cos 6x e36t Á b u 64 2 a 34. l 11 >(2) c(11 1)>(2) 1> Area R 2 >2 1, R 12>, and 38. u (u u 1 )r r 1 u 1r 1 u r where r is the distance from the center of the (r 1 r )r r 1 r, sheres 4. f () 4 cos 3. Now, by (11r), Sec. 5.3, Answer: a m1 n1 m,n odd 1 sin mx sin ny 2 (m 2 n 2 )t m 3 ec 3 n ck 11 >(2) k 11 >(2) a 11 >(2R) 3.832>(212>) 3.832> 18. cos P 3(cos ) 3 5 P 1(cos ). u 8 5 r 3 P 3 (cos ) 12 5 rp 1(cos ).

18 c12.qxd 7/19/11 2:11 PM Page 255 Instructor s Manual 255 Author Query AQ1 Please rovide solution

Partial Differential Equations (PDEs)

Partial Differential Equations (PDEs) C H A P T E R Partial Differential Equations (PDEs) 5 A PDE is an equation that contains one or more partial derivatives of an unknown function that depends on at least two variables. Usually one of these

More information

FOURIER SERIES PART III: APPLICATIONS

FOURIER SERIES PART III: APPLICATIONS FOURIER SERIES PART III: APPLICATIONS We extend the construction of Fourier series to functions with arbitrary eriods, then we associate to functions defined on an interval [, L] Fourier sine and Fourier

More information

Partial Differential Equations

Partial Differential Equations Partial Differential Equations Xu Chen Assistant Professor United Technologies Engineering Build, Rm. 382 Department of Mechanical Engineering University of Connecticut xchen@engr.uconn.edu Contents 1

More information

12.7 Heat Equation: Modeling Very Long Bars.

12.7 Heat Equation: Modeling Very Long Bars. 568 CHAP. Partial Differential Equations (PDEs).7 Heat Equation: Modeling Very Long Bars. Solution by Fourier Integrals and Transforms Our discussion of the heat equation () u t c u x in the last section

More information

F(p) y + 3y + 2y = δ(t a) y(0) = 0 and y (0) = 0.

F(p) y + 3y + 2y = δ(t a) y(0) = 0 and y (0) = 0. Page 5- Chater 5: Lalace Transforms The Lalace Transform is a useful tool that is used to solve many mathematical and alied roblems. In articular, the Lalace transform is a technique that can be used to

More information

MATH 2710: NOTES FOR ANALYSIS

MATH 2710: NOTES FOR ANALYSIS MATH 270: NOTES FOR ANALYSIS The main ideas we will learn from analysis center around the idea of a limit. Limits occurs in several settings. We will start with finite limits of sequences, then cover infinite

More information

Higher Order Linear ODEs

Higher Order Linear ODEs c03.qxd 6/18/11 2:57 PM Page 57 CHAPTER 3 Higher Order Linear ODEs Chapters 1 and 2 demonstrate and illustrate that first- and second-order ODEs are, by far, the most important ones in usual engineering

More information

CLASSIFICATION AND PRINCIPLE OF SUPERPOSITION FOR SECOND ORDER LINEAR PDE

CLASSIFICATION AND PRINCIPLE OF SUPERPOSITION FOR SECOND ORDER LINEAR PDE CLASSIFICATION AND PRINCIPLE OF SUPERPOSITION FOR SECOND ORDER LINEAR PDE 1. Linear Partial Differential Equations A partial differential equation (PDE) is an equation, for an unknown function u, that

More information

ON THE LEAST SIGNIFICANT p ADIC DIGITS OF CERTAIN LUCAS NUMBERS

ON THE LEAST SIGNIFICANT p ADIC DIGITS OF CERTAIN LUCAS NUMBERS #A13 INTEGERS 14 (014) ON THE LEAST SIGNIFICANT ADIC DIGITS OF CERTAIN LUCAS NUMBERS Tamás Lengyel Deartment of Mathematics, Occidental College, Los Angeles, California lengyel@oxy.edu Received: 6/13/13,

More information

MATH 251 Final Examination December 16, 2015 FORM A. Name: Student Number: Section:

MATH 251 Final Examination December 16, 2015 FORM A. Name: Student Number: Section: MATH 5 Final Examination December 6, 5 FORM A Name: Student Number: Section: This exam has 7 questions for a total of 5 points. In order to obtain full credit for partial credit problems, all work must

More information

Feedback-error control

Feedback-error control Chater 4 Feedback-error control 4.1 Introduction This chater exlains the feedback-error (FBE) control scheme originally described by Kawato [, 87, 8]. FBE is a widely used neural network based controller

More information

Elementary Analysis in Q p

Elementary Analysis in Q p Elementary Analysis in Q Hannah Hutter, May Szedlák, Phili Wirth November 17, 2011 This reort follows very closely the book of Svetlana Katok 1. 1 Sequences and Series In this section we will see some

More information

Statics and dynamics: some elementary concepts

Statics and dynamics: some elementary concepts 1 Statics and dynamics: some elementary concets Dynamics is the study of the movement through time of variables such as heartbeat, temerature, secies oulation, voltage, roduction, emloyment, rices and

More information

PHYS 301 HOMEWORK #9-- SOLUTIONS

PHYS 301 HOMEWORK #9-- SOLUTIONS PHYS 0 HOMEWORK #9-- SOLUTIONS. We are asked to use Dirichlet' s theorem to determine the value of f (x) as defined below at x = 0, ± /, ± f(x) = 0, - < x

More information

Engineering Mathematics (E35 317) Final Exam December 15, 2006

Engineering Mathematics (E35 317) Final Exam December 15, 2006 Engineering Mathematics (E35 317) Final Exam December 15, 2006 This exam contains six free-resonse roblems orth 36 oints altogether, eight short-anser roblems orth one oint each, seven multile-choice roblems

More information

A M,ETHOD OF MEASURING THE RESISTIVITY AND HALL' COEFFICIENT ON LAMELLAE OF ARBITRARY SHAPE

A M,ETHOD OF MEASURING THE RESISTIVITY AND HALL' COEFFICIENT ON LAMELLAE OF ARBITRARY SHAPE '. ' 220 HILlS TECHNICAL REVIEW VOLUME 20 A M,ETHOD OF MEASURING THE RESISTIVITY AND HALL' COEFFICIENT ON LAMELLAE OF ARBITRARY SHAE 621.317.331:538.632.083 Resistivity and Hall-coefficient measurements

More information

Meshless Methods for Scientific Computing Final Project

Meshless Methods for Scientific Computing Final Project Meshless Methods for Scientific Comuting Final Project D0051008 洪啟耀 Introduction Floating island becomes an imortant study in recent years, because the lands we can use are limit, so eole start thinking

More information

ENGI 9420 Lecture Notes 8 - PDEs Page 8.01

ENGI 9420 Lecture Notes 8 - PDEs Page 8.01 ENGI 940 ecture Notes 8 - PDEs Page 8.0 8. Partial Differential Equations Partial differential equations (PDEs) are equations involving functions of more than one variable and their partial derivatives

More information

#A64 INTEGERS 18 (2018) APPLYING MODULAR ARITHMETIC TO DIOPHANTINE EQUATIONS

#A64 INTEGERS 18 (2018) APPLYING MODULAR ARITHMETIC TO DIOPHANTINE EQUATIONS #A64 INTEGERS 18 (2018) APPLYING MODULAR ARITHMETIC TO DIOPHANTINE EQUATIONS Ramy F. Taki ElDin Physics and Engineering Mathematics Deartment, Faculty of Engineering, Ain Shams University, Cairo, Egyt

More information

Mathematical Methods - Lecture 9

Mathematical Methods - Lecture 9 Mathematical Methods - Lecture 9 Yuliya Tarabalka Inria Sophia-Antipolis Méditerranée, Titane team, http://www-sop.inria.fr/members/yuliya.tarabalka/ Tel.: +33 (0)4 92 38 77 09 email: yuliya.tarabalka@inria.fr

More information

Sums of independent random variables

Sums of independent random variables 3 Sums of indeendent random variables This lecture collects a number of estimates for sums of indeendent random variables with values in a Banach sace E. We concentrate on sums of the form N γ nx n, where

More information

On the relationship between sound intensity and wave impedance

On the relationship between sound intensity and wave impedance Buenos Aires 5 to 9 Setember, 16 Acoustics for the 1 st Century PROCEEDINGS of the nd International Congress on Acoustics Sound Intensity and Inverse Methods in Acoustics: Paer ICA16-198 On the relationshi

More information

THE WAVE EQUATION. F = T (x, t) j + T (x + x, t) j = T (sin(θ(x, t)) + sin(θ(x + x, t)))

THE WAVE EQUATION. F = T (x, t) j + T (x + x, t) j = T (sin(θ(x, t)) + sin(θ(x + x, t))) THE WAVE EQUATION The aim is to derive a mathematical model that describes small vibrations of a tightly stretched flexible string for the one-dimensional case, or of a tightly stretched membrane for the

More information

f ax ; a 0 is a periodic function b is a periodic function of x of p b. f which is assumed to have the period 2 π, where

f ax ; a 0 is a periodic function b is a periodic function of x of p b. f which is assumed to have the period 2 π, where (a) (b) If () Year - Tutorial: Toic: Fourier series Time: Two hours π π n Find the fundamental eriod of (i) cos (ii) cos k k f a ; a is a eriodic function b is a eriodic function of of b. f is a eriodic

More information

ENGI 9420 Lecture Notes 8 - PDEs Page 8.01

ENGI 9420 Lecture Notes 8 - PDEs Page 8.01 ENGI 940 Lecture Notes 8 - PDEs Page 8.01 8. Partial Differential Equations Partial differential equations (PDEs) are equations involving functions of more than one variable and their partial derivatives

More information

Final: Solutions Math 118A, Fall 2013

Final: Solutions Math 118A, Fall 2013 Final: Solutions Math 118A, Fall 2013 1. [20 pts] For each of the following PDEs for u(x, y), give their order and say if they are nonlinear or linear. If they are linear, say if they are homogeneous or

More information

Department of Mathematics

Department of Mathematics INDIAN INSTITUTE OF TECHNOLOGY, BOMBAY Department of Mathematics MA 04 - Complex Analysis & PDE s Solutions to Tutorial No.13 Q. 1 (T) Assuming that term-wise differentiation is permissible, show that

More information

MATH 251 Final Examination May 3, 2017 FORM A. Name: Student Number: Section:

MATH 251 Final Examination May 3, 2017 FORM A. Name: Student Number: Section: MATH 5 Final Examination May 3, 07 FORM A Name: Student Number: Section: This exam has 6 questions for a total of 50 points. In order to obtain full credit for partial credit problems, all work must be

More information

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

Fourier Analysis Fourier Series C H A P T E R 1 1 C H A P T E R Fourier Analysis 474 This chapter on Fourier analysis covers three broad areas: Fourier series in Secs...4, more general orthonormal series called Sturm iouville epansions in Secs..5 and.6

More information

CHAPTER 25. Answer to Checkpoint Questions

CHAPTER 25. Answer to Checkpoint Questions CHAPTER 5 ELECTRIC POTENTIAL 68 CHAPTER 5 Answer to Checkoint Questions. (a) negative; (b) increase. (a) ositive; (b) higher 3. (a) rightward; (b),, 3, 5: ositive; 4: negative; (c) 3, then,, and 5 tie,

More information

12.11 Laplace s Equation in Cylindrical and

12.11 Laplace s Equation in Cylindrical and SEC. 2. Laplace s Equation in Cylinrical an Spherical Coorinates. Potential 593 2. Laplace s Equation in Cylinrical an Spherical Coorinates. Potential One of the most important PDEs in physics an engineering

More information

4. Score normalization technical details We now discuss the technical details of the score normalization method.

4. Score normalization technical details We now discuss the technical details of the score normalization method. SMT SCORING SYSTEM This document describes the scoring system for the Stanford Math Tournament We begin by giving an overview of the changes to scoring and a non-technical descrition of the scoring rules

More information

MATH 251 Final Examination December 16, 2014 FORM A. Name: Student Number: Section:

MATH 251 Final Examination December 16, 2014 FORM A. Name: Student Number: Section: MATH 2 Final Examination December 6, 204 FORM A Name: Student Number: Section: This exam has 7 questions for a total of 0 points. In order to obtain full credit for partial credit problems, all work must

More information

3150 Review Problems for Final Exam. (1) Find the Fourier series of the 2π-periodic function whose values are given on [0, 2π) by cos(x) 0 x π f(x) =

3150 Review Problems for Final Exam. (1) Find the Fourier series of the 2π-periodic function whose values are given on [0, 2π) by cos(x) 0 x π f(x) = 350 Review Problems for Final Eam () Find the Fourier series of the 2π-periodic function whose values are given on [0, 2π) by cos() 0 π f() = 0 π < < 2π (2) Let F and G be arbitrary differentiable functions

More information

MATHEMATICAL MODELLING OF THE WIRELESS COMMUNICATION NETWORK

MATHEMATICAL MODELLING OF THE WIRELESS COMMUNICATION NETWORK Comuter Modelling and ew Technologies, 5, Vol.9, o., 3-39 Transort and Telecommunication Institute, Lomonosov, LV-9, Riga, Latvia MATHEMATICAL MODELLIG OF THE WIRELESS COMMUICATIO ETWORK M. KOPEETSK Deartment

More information

HENSEL S LEMMA KEITH CONRAD

HENSEL S LEMMA KEITH CONRAD HENSEL S LEMMA KEITH CONRAD 1. Introduction In the -adic integers, congruences are aroximations: for a and b in Z, a b mod n is the same as a b 1/ n. Turning information modulo one ower of into similar

More information

CERIAS Tech Report The period of the Bell numbers modulo a prime by Peter Montgomery, Sangil Nahm, Samuel Wagstaff Jr Center for Education

CERIAS Tech Report The period of the Bell numbers modulo a prime by Peter Montgomery, Sangil Nahm, Samuel Wagstaff Jr Center for Education CERIAS Tech Reort 2010-01 The eriod of the Bell numbers modulo a rime by Peter Montgomery, Sangil Nahm, Samuel Wagstaff Jr Center for Education and Research Information Assurance and Security Purdue University,

More information

Strauss PDEs 2e: Section Exercise 4 Page 1 of 6

Strauss PDEs 2e: Section Exercise 4 Page 1 of 6 Strauss PDEs 2e: Section 5.3 - Exercise 4 Page of 6 Exercise 4 Consider the problem u t = ku xx for < x < l, with the boundary conditions u(, t) = U, u x (l, t) =, and the initial condition u(x, ) =, where

More information

Positivity, local smoothing and Harnack inequalities for very fast diffusion equations

Positivity, local smoothing and Harnack inequalities for very fast diffusion equations Positivity, local smoothing and Harnack inequalities for very fast diffusion equations Dedicated to Luis Caffarelli for his ucoming 60 th birthday Matteo Bonforte a, b and Juan Luis Vázquez a, c Abstract

More information

Introduction to Landau s Fermi Liquid Theory

Introduction to Landau s Fermi Liquid Theory Introduction to Landau s Fermi Liquid Theory Erkki Thuneberg Deartment of hysical sciences University of Oulu 29 1. Introduction The rincial roblem of hysics is to determine how bodies behave when they

More information

An Estimate For Heilbronn s Exponential Sum

An Estimate For Heilbronn s Exponential Sum An Estimate For Heilbronn s Exonential Sum D.R. Heath-Brown Magdalen College, Oxford For Heini Halberstam, on his retirement Let be a rime, and set e(x) = ex(2πix). Heilbronn s exonential sum is defined

More information

Introduction to Sturm-Liouville Theory and the Theory of Generalized Fourier Series

Introduction to Sturm-Liouville Theory and the Theory of Generalized Fourier Series CHAPTER 5 Introduction to Sturm-Liouville Theory and the Theory of Generalized Fourier Series We start with some introductory examples. 5.. Cauchy s equation The homogeneous Euler-Cauchy equation (Leonhard

More information

A generalized Fucik type eigenvalue problem for p-laplacian

A generalized Fucik type eigenvalue problem for p-laplacian Electronic Journal of Qualitative Theory of Differential Equations 009, No. 18, 1-9; htt://www.math.u-szeged.hu/ejqtde/ A generalized Fucik tye eigenvalue roblem for -Lalacian Yuanji Cheng School of Technology

More information

Sharp gradient estimate and spectral rigidity for p-laplacian

Sharp gradient estimate and spectral rigidity for p-laplacian Shar gradient estimate and sectral rigidity for -Lalacian Chiung-Jue Anna Sung and Jiaing Wang To aear in ath. Research Letters. Abstract We derive a shar gradient estimate for ositive eigenfunctions of

More information

MATH 251 Final Examination August 14, 2015 FORM A. Name: Student Number: Section:

MATH 251 Final Examination August 14, 2015 FORM A. Name: Student Number: Section: MATH 251 Final Examination August 14, 2015 FORM A Name: Student Number: Section: This exam has 11 questions for a total of 150 points. Show all your work! In order to obtain full credit for partial credit

More information

arxiv: v1 [physics.data-an] 26 Oct 2012

arxiv: v1 [physics.data-an] 26 Oct 2012 Constraints on Yield Parameters in Extended Maximum Likelihood Fits Till Moritz Karbach a, Maximilian Schlu b a TU Dortmund, Germany, moritz.karbach@cern.ch b TU Dortmund, Germany, maximilian.schlu@cern.ch

More information

Math Assignment 14

Math Assignment 14 Math 2280 - Assignment 14 Dylan Zwick Spring 2014 Section 9.5-1, 3, 5, 7, 9 Section 9.6-1, 3, 5, 7, 14 Section 9.7-1, 2, 3, 4 1 Section 9.5 - Heat Conduction and Separation of Variables 9.5.1 - Solve the

More information

KREYSZIG E Advanced Engineering Mathematics (10th ed., Wiley 2011) Chapter 11 - Fourier analysis

KREYSZIG E Advanced Engineering Mathematics (10th ed., Wiley 2011) Chapter 11 - Fourier analysis KREYSZIG E Advanced Engineering Mathematics (th ed., Wiley ) Chapter - Fourier analysis . CHAPTER Fourier Analysis 474 This chapter on Fourier analysis covers three broad areas: Fourier series in Secs...4,

More information

The application of isoperimetric inequalities for nonlinear eigenvalue problems

The application of isoperimetric inequalities for nonlinear eigenvalue problems The alication of isoerimetric inequalities for nonlinear eigenvalue roblems GABRIELLA BOGNAR Institute of Mathematics University of Miskolc 355 Miskolc-Egyetemvaros HUNGARY Abstract: - Our aim is to show

More information

dn i where we have used the Gibbs equation for the Gibbs energy and the definition of chemical potential

dn i where we have used the Gibbs equation for the Gibbs energy and the definition of chemical potential Chem 467 Sulement to Lectures 33 Phase Equilibrium Chemical Potential Revisited We introduced the chemical otential as the conjugate variable to amount. Briefly reviewing, the total Gibbs energy of a system

More information

CMSC 425: Lecture 4 Geometry and Geometric Programming

CMSC 425: Lecture 4 Geometry and Geometric Programming CMSC 425: Lecture 4 Geometry and Geometric Programming Geometry for Game Programming and Grahics: For the next few lectures, we will discuss some of the basic elements of geometry. There are many areas

More information

Boundary-value Problems in Rectangular Coordinates

Boundary-value Problems in Rectangular Coordinates Boundary-value Problems in Rectangular Coordinates 2009 Outline Separation of Variables: Heat Equation on a Slab Separation of Variables: Vibrating String Separation of Variables: Laplace Equation Review

More information

1. Partial differential equations. Chapter 12: Partial Differential Equations. Examples. 2. The one-dimensional wave equation

1. Partial differential equations. Chapter 12: Partial Differential Equations. Examples. 2. The one-dimensional wave equation 1. Partial differential equations Definitions Examples A partial differential equation PDE is an equation giving a relation between a function of two or more variables u and its partial derivatives. The

More information

Fourier Analysis Partial Differential Equations (PDEs)

Fourier Analysis Partial Differential Equations (PDEs) PART C Fourier Analysis. Partial Differential Equations (PDEs) CHAPTER CHAPTER Fourier Analysis Partial Differential Equations (PDEs) Chapter and Chapter are directly related to each other in that Fourier

More information

Towards understanding the Lorenz curve using the Uniform distribution. Chris J. Stephens. Newcastle City Council, Newcastle upon Tyne, UK

Towards understanding the Lorenz curve using the Uniform distribution. Chris J. Stephens. Newcastle City Council, Newcastle upon Tyne, UK Towards understanding the Lorenz curve using the Uniform distribution Chris J. Stehens Newcastle City Council, Newcastle uon Tyne, UK (For the Gini-Lorenz Conference, University of Siena, Italy, May 2005)

More information

MATH 131P: PRACTICE FINAL SOLUTIONS DECEMBER 12, 2012

MATH 131P: PRACTICE FINAL SOLUTIONS DECEMBER 12, 2012 MATH 3P: PRACTICE FINAL SOLUTIONS DECEMBER, This is a closed ook, closed notes, no calculators/computers exam. There are 6 prolems. Write your solutions to Prolems -3 in lue ook #, and your solutions to

More information

FOURIER SERIES, TRANSFORMS, AND BOUNDARY VALUE PROBLEMS

FOURIER SERIES, TRANSFORMS, AND BOUNDARY VALUE PROBLEMS fc FOURIER SERIES, TRANSFORMS, AND BOUNDARY VALUE PROBLEMS Second Edition J. RAY HANNA Professor Emeritus University of Wyoming Laramie, Wyoming JOHN H. ROWLAND Department of Mathematics and Department

More information

Boundary problems for fractional Laplacians and other mu-transmission operators

Boundary problems for fractional Laplacians and other mu-transmission operators Boundary roblems for fractional Lalacians and other mu-transmission oerators Gerd Grubb Coenhagen University Geometry and Analysis Seminar June 20, 2014 Introduction Consider P a equal to ( ) a or to A

More information

Instructor s Solutions Manual PARTIAL DIFFERENTIAL EQUATIONS. with FOURIER SERIES and BOUNDARY VALUE PROBLEMS. NAKHLÉ H. ASMAR University of Missouri

Instructor s Solutions Manual PARTIAL DIFFERENTIAL EQUATIONS. with FOURIER SERIES and BOUNDARY VALUE PROBLEMS. NAKHLÉ H. ASMAR University of Missouri Instructor s Solutions Manual PARTIA DIFFERENTIA EQUATIONS with FOURIER SERIES and BOUNDARY VAUE PROBEMS Second Edition NAKHÉ H. ASMAR University of Missouri Contents Preface Errata v vi A Preview of Applications

More information

SAMPLE FINAL EXAM SOLUTIONS

SAMPLE FINAL EXAM SOLUTIONS LAST (family) NAME: FIRST (given) NAME: ID # : MATHEMATICS 3FF3 McMaster University Final Examination Day Class Duration of Examination: 3 hours Dr. J.-P. Gabardo THIS EXAMINATION PAPER INCLUDES 22 PAGES

More information

Classical gas (molecules) Phonon gas Number fixed Population depends on frequency of mode and temperature: 1. For each particle. For an N-particle gas

Classical gas (molecules) Phonon gas Number fixed Population depends on frequency of mode and temperature: 1. For each particle. For an N-particle gas Lecture 14: Thermal conductivity Review: honons as articles In chater 5, we have been considering quantized waves in solids to be articles and this becomes very imortant when we discuss thermal conductivity.

More information

ENGG 2420: Fourier series and partial differential equations

ENGG 2420: Fourier series and partial differential equations ENGG 2420: Fourier series and artial differential equations Prof. Thierry Blu e-mail: tblu@ee.cuhk.edu.hk web: www.ee.cuhk.edu.hk/~tblu/ Deartment of Electronic Engineering The Chinese University of Hong

More information

The extreme case of the anisothermal calorimeter when there is no heat exchange is the adiabatic calorimeter.

The extreme case of the anisothermal calorimeter when there is no heat exchange is the adiabatic calorimeter. .4. Determination of the enthaly of solution of anhydrous and hydrous sodium acetate by anisothermal calorimeter, and the enthaly of melting of ice by isothermal heat flow calorimeter Theoretical background

More information

Uniform Law on the Unit Sphere of a Banach Space

Uniform Law on the Unit Sphere of a Banach Space Uniform Law on the Unit Shere of a Banach Sace by Bernard Beauzamy Société de Calcul Mathématique SA Faubourg Saint Honoré 75008 Paris France Setember 008 Abstract We investigate the construction of a

More information

A construction of bent functions from plateaued functions

A construction of bent functions from plateaued functions A construction of bent functions from lateaued functions Ayça Çeşmelioğlu, Wilfried Meidl Sabancı University, MDBF, Orhanlı, 34956 Tuzla, İstanbul, Turkey. Abstract In this resentation, a technique for

More information

Vibrating-string problem

Vibrating-string problem EE-2020, Spring 2009 p. 1/30 Vibrating-string problem Newton s equation of motion, m u tt = applied forces to the segment (x, x, + x), Net force due to the tension of the string, T Sinθ 2 T Sinθ 1 T[u

More information

Partial Differential Equations

Partial Differential Equations Partial Differential Equations Partial differential equations (PDEs) are equations involving functions of more than one variable and their partial derivatives with respect to those variables. Most (but

More information

Brief Notes on Differential Equations

Brief Notes on Differential Equations Brief Notes on Differential Equations (A) Searable First-Order Differential Equations Solve the following differential equations b searation of variables: (a) (b) Solution ( 1 ) (a) The ODE becomes d and

More information

ON THE SET a x + b g x (mod p) 1 Introduction

ON THE SET a x + b g x (mod p) 1 Introduction PORTUGALIAE MATHEMATICA Vol 59 Fasc 00 Nova Série ON THE SET a x + b g x (mod ) Cristian Cobeli, Marian Vâjâitu and Alexandru Zaharescu Abstract: Given nonzero integers a, b we rove an asymtotic result

More information

Differential equations, comprehensive exam topics and sample questions

Differential equations, comprehensive exam topics and sample questions Differential equations, comprehensive exam topics and sample questions Topics covered ODE s: Chapters -5, 7, from Elementary Differential Equations by Edwards and Penney, 6th edition.. Exact solutions

More information

Topic 7: Using identity types

Topic 7: Using identity types Toic 7: Using identity tyes June 10, 2014 Now we would like to learn how to use identity tyes and how to do some actual mathematics with them. By now we have essentially introduced all inference rules

More information

ME 375 System Modeling and Analysis. Homework 11 Solution. Out: 18 November 2011 Due: 30 November 2011 = + +

ME 375 System Modeling and Analysis. Homework 11 Solution. Out: 18 November 2011 Due: 30 November 2011 = + + Out: 8 November Due: 3 November Problem : You are given the following system: Gs () =. s + s+ a) Using Lalace and Inverse Lalace, calculate the unit ste resonse of this system (assume zero initial conditions).

More information

Notes on pressure coordinates Robert Lindsay Korty October 1, 2002

Notes on pressure coordinates Robert Lindsay Korty October 1, 2002 Notes on ressure coordinates Robert Lindsay Korty October 1, 2002 Obviously, it makes no difference whether the quasi-geostrohic equations are hrased in height coordinates (where x, y,, t are the indeendent

More information

Combining Logistic Regression with Kriging for Mapping the Risk of Occurrence of Unexploded Ordnance (UXO)

Combining Logistic Regression with Kriging for Mapping the Risk of Occurrence of Unexploded Ordnance (UXO) Combining Logistic Regression with Kriging for Maing the Risk of Occurrence of Unexloded Ordnance (UXO) H. Saito (), P. Goovaerts (), S. A. McKenna (2) Environmental and Water Resources Engineering, Deartment

More information

= =5 (0:4) 4 10 = = = = = 2:005 32:4 2: :

= =5 (0:4) 4 10 = = = = = 2:005 32:4 2: : MATH LEC SECOND EXAM THU NOV 0 PROBLEM Part (a) ( 5 oints ) Aroximate 5 :4 using a suitable dierential. Show your work carrying at least 6 decimal digits. A mere calculator answer will receive zero credit.

More information

#A37 INTEGERS 15 (2015) NOTE ON A RESULT OF CHUNG ON WEIL TYPE SUMS

#A37 INTEGERS 15 (2015) NOTE ON A RESULT OF CHUNG ON WEIL TYPE SUMS #A37 INTEGERS 15 (2015) NOTE ON A RESULT OF CHUNG ON WEIL TYPE SUMS Norbert Hegyvári ELTE TTK, Eötvös University, Institute of Mathematics, Budaest, Hungary hegyvari@elte.hu François Hennecart Université

More information

Math 201 Assignment #11

Math 201 Assignment #11 Math 21 Assignment #11 Problem 1 (1.5 2) Find a formal solution to the given initial-boundary value problem. = 2 u x, < x < π, t > 2 u(, t) = u(π, t) =, t > u(x, ) = x 2, < x < π Problem 2 (1.5 5) Find

More information

Theoretical Statistical Physics

Theoretical Statistical Physics Janosh Riebesell, Adrian van Kan Lecturer: Manfred Salmhofer December nd, 06 Theoretical Statistical Physics Solution to Exercise Sheet 5 Ideal gas work (3 oints Within the kinetic model of an ideal gas,

More information

rate~ If no additional source of holes were present, the excess

rate~ If no additional source of holes were present, the excess DIFFUSION OF CARRIERS Diffusion currents are resent in semiconductor devices which generate a satially non-uniform distribution of carriers. The most imortant examles are the -n junction and the biolar

More information

OXFORD UNIVERSITY. MATHEMATICS, JOINT SCHOOLS AND COMPUTER SCIENCE WEDNESDAY 4 NOVEMBER 2009 Time allowed: hours

OXFORD UNIVERSITY. MATHEMATICS, JOINT SCHOOLS AND COMPUTER SCIENCE WEDNESDAY 4 NOVEMBER 2009 Time allowed: hours OXFORD UNIVERSITY MATHEMATICS, JOINT SCHOOLS AND COMPUTER SCIENCE WEDNESDAY 4 NOVEMBER 2009 Time allowed: 2 1 2 hours For candidates alying for Mathematics, Mathematics & Statistics, Comuter Science, Mathematics

More information

Journal of Mathematical Analysis and Applications

Journal of Mathematical Analysis and Applications J. Math. Anal. Al. 44 (3) 3 38 Contents lists available at SciVerse ScienceDirect Journal of Mathematical Analysis and Alications journal homeage: www.elsevier.com/locate/jmaa Maximal surface area of a

More information

1 Entropy 1. 3 Extensivity 4. 5 Convexity 5

1 Entropy 1. 3 Extensivity 4. 5 Convexity 5 Contents CONEX FUNCIONS AND HERMODYNAMIC POENIALS 1 Entroy 1 2 Energy Reresentation 2 3 Etensivity 4 4 Fundamental Equations 4 5 Conveity 5 6 Legendre transforms 6 7 Reservoirs and Legendre transforms

More information

MATH 251 Final Examination December 19, 2012 FORM A. Name: Student Number: Section:

MATH 251 Final Examination December 19, 2012 FORM A. Name: Student Number: Section: MATH 251 Final Examination December 19, 2012 FORM A Name: Student Number: Section: This exam has 17 questions for a total of 150 points. In order to obtain full credit for partial credit problems, all

More information

Homework for Math , Fall 2016

Homework for Math , Fall 2016 Homework for Math 5440 1, Fall 2016 A. Treibergs, Instructor November 22, 2016 Our text is by Walter A. Strauss, Introduction to Partial Differential Equations 2nd ed., Wiley, 2007. Please read the relevant

More information

Characterizing the Behavior of a Probabilistic CMOS Switch Through Analytical Models and Its Verification Through Simulations

Characterizing the Behavior of a Probabilistic CMOS Switch Through Analytical Models and Its Verification Through Simulations Characterizing the Behavior of a Probabilistic CMOS Switch Through Analytical Models and Its Verification Through Simulations PINAR KORKMAZ, BILGE E. S. AKGUL and KRISHNA V. PALEM Georgia Institute of

More information

PHYSICS 301/MATH 355 HOMEWORK #8

PHYSICS 301/MATH 355 HOMEWORK #8 PHYSICS 3/MATH 355 HOMEWORK #8 Solutions Question # We consider the integral : where m and n are both integers. We can evaluate this integral : Integrate@Cos@m xd Cos@n xd, 8x, π, π

More information

Partial Differential Equations for Engineering Math 312, Fall 2012

Partial Differential Equations for Engineering Math 312, Fall 2012 Partial Differential Equations for Engineering Math 312, Fall 2012 Jens Lorenz July 17, 2012 Contents Department of Mathematics and Statistics, UNM, Albuquerque, NM 87131 1 Second Order ODEs with Constant

More information

Session 5: Review of Classical Astrodynamics

Session 5: Review of Classical Astrodynamics Session 5: Review of Classical Astrodynamics In revious lectures we described in detail the rocess to find the otimal secific imulse for a articular situation. Among the mission requirements that serve

More information

Real Analysis 1 Fall Homework 3. a n.

Real Analysis 1 Fall Homework 3. a n. eal Analysis Fall 06 Homework 3. Let and consider the measure sace N, P, µ, where µ is counting measure. That is, if N, then µ equals the number of elements in if is finite; µ = otherwise. One usually

More information

Review For the Final: Problem 1 Find the general solutions of the following DEs. a) x 2 y xy y 2 = 0 solution: = 0 : homogeneous equation.

Review For the Final: Problem 1 Find the general solutions of the following DEs. a) x 2 y xy y 2 = 0 solution: = 0 : homogeneous equation. Review For the Final: Problem 1 Find the general solutions of the following DEs. a) x 2 y xy y 2 = 0 solution: y y x y2 = 0 : homogeneous equation. x2 v = y dy, y = vx, and x v + x dv dx = v + v2. dx =

More information

VIBRATIONS OF SHALLOW SPHERICAL SHELLS AND GONGS: A COMPARATIVE STUDY

VIBRATIONS OF SHALLOW SPHERICAL SHELLS AND GONGS: A COMPARATIVE STUDY VIBRATIONS OF SHALLOW SPHERICAL SHELLS AND GONGS: A COMPARATIVE STUDY PACS REFERENCE: 43.75.Kk Antoine CHAIGNE ; Mathieu FONTAINE ; Olivier THOMAS ; Michel FERRE ; Cyril TOUZE UER de Mécanique, ENSTA Chemin

More information

5.4 Bessel s Equation. Bessel Functions

5.4 Bessel s Equation. Bessel Functions SEC 54 Bessel s Equation Bessel Functions J (x) 87 # with y dy>dt, etc, constant A, B, C, D, K, and t 5 HYPERGEOMETRIC ODE At B (t t )(t t ), t t, can be reduced to the hypergeometric equation with independent

More information

Math 2930 Worksheet Final Exam Review

Math 2930 Worksheet Final Exam Review Math 293 Worksheet Final Exam Review Week 14 November 3th, 217 Question 1. (* Solve the initial value problem y y = 2xe x, y( = 1 Question 2. (* Consider the differential equation: y = y y 3. (a Find the

More information

THE 2D CASE OF THE BOURGAIN-DEMETER-GUTH ARGUMENT

THE 2D CASE OF THE BOURGAIN-DEMETER-GUTH ARGUMENT THE 2D CASE OF THE BOURGAIN-DEMETER-GUTH ARGUMENT ZANE LI Let e(z) := e 2πiz and for g : [0, ] C and J [0, ], define the extension oerator E J g(x) := g(t)e(tx + t 2 x 2 ) dt. J For a ositive weight ν

More information

1 Probability Spaces and Random Variables

1 Probability Spaces and Random Variables 1 Probability Saces and Random Variables 1.1 Probability saces Ω: samle sace consisting of elementary events (or samle oints). F : the set of events P: robability 1.2 Kolmogorov s axioms Definition 1.2.1

More information

Journal of Inequalities in Pure and Applied Mathematics

Journal of Inequalities in Pure and Applied Mathematics Journal of Inequalities in Pure and Alied Mathematics htt://jiam.vu.edu.au/ Volume 3, Issue 5, Article 8, 22 REVERSE CONVOLUTION INEQUALITIES AND APPLICATIONS TO INVERSE HEAT SOURCE PROBLEMS SABUROU SAITOH,

More information

MATH 251 Final Examination May 4, 2015 FORM A. Name: Student Number: Section:

MATH 251 Final Examination May 4, 2015 FORM A. Name: Student Number: Section: MATH 251 Final Examination May 4, 2015 FORM A Name: Student Number: Section: This exam has 16 questions for a total of 150 points. In order to obtain full credit for partial credit problems, all work must

More information

Lecture6. Partial Differential Equations

Lecture6. Partial Differential Equations EP219 ecture notes - prepared by- Assoc. Prof. Dr. Eser OĞAR 2012-Spring ecture6. Partial Differential Equations 6.1 Review of Differential Equation We have studied the theoretical aspects of the solution

More information

VISCOELASTIC PROPERTIES OF INHOMOGENEOUS NANOCOMPOSITES

VISCOELASTIC PROPERTIES OF INHOMOGENEOUS NANOCOMPOSITES VISCOELASTIC PROPERTIES OF INHOMOGENEOUS NANOCOMPOSITES V. V. Novikov ), K.W. Wojciechowski ) ) Odessa National Polytechnical University, Shevchenko Prosekt, 6544 Odessa, Ukraine; e-mail: novikov@te.net.ua

More information

Ma 221 Final Exam Solutions 5/14/13

Ma 221 Final Exam Solutions 5/14/13 Ma 221 Final Exam Solutions 5/14/13 1. Solve (a) (8 pts) Solution: The equation is separable. dy dx exy y 1 y0 0 y 1e y dy e x dx y 1e y dy e x dx ye y e y dy e x dx ye y e y e y e x c The last step comes

More information