Last name: name: 1. (B A A B)dx = (A B) = (A B) nds. which implies that B Adx = A Bdx + (A B) nds.

Size: px
Start display at page:

Download "Last name: name: 1. (B A A B)dx = (A B) = (A B) nds. which implies that B Adx = A Bdx + (A B) nds."

Transcription

1 Last name: name: Notes, books, and calculators are not authorized. Show all your work in the blank space you are given on the exam sheet. Answers with no justification will not be graded. Question : Let be the curl operator acting on vector fields: i.e., let A = (A, A 2, A 3 ) : R 3 R 3 be a three-dimensional vector field over R 3, then A = ( 2 A 3 3 A 2, 3 A A 3, A 2 2 A ). Accept as a fact that (A B) = B A A B for all smooth vector fields A and B. Let Ω be a subset of R 3 with a smooth boundary Ω. Find an integration by parts formula for Ω B Adx. Using the divergence Theorem we infer that (B A A B)dx = which implies that Ω Ω B Adx = Ω Ω (A B) = Ω (A B) nds. A Bdx + (A B) nds. Ω Question 2: Let u, f : R R be two functions of class C. (a) Compute x f(u(x)). Using the chain rule we obtain where f denotes the derive of f. x f(u(x)) = f (u(x)) x u. (b) Let ψ : R R be functions of class C. Let F : R R be defined by F (v) = v 0 f (t)ψ (t)dt. Use (a) to compute x (F (u(x)) x (f(u(x)))ψ (u(x)). Using the chain rule we obtain x (F (u(x)) = F (u(x)) x u(x) = f (u(x))ψ (u(x)) x u(x) = x (f(u(x)))ψ (u(x)). This means that x (F (u(x)) = x (f(u(x)))ψ (u(x)). (c) Using the notation of (a) and (b), assume that u(± ) = 0 and compute x(f(u(x)))ψ (u(x))dx. Using (b) and u(± ) = 0 we have x (f(u(x)))ψ (u(x))dx = x (F (u(x)))dx = F (u(x)) + = F (0) F (0) = 0.

2 2 Mid-Term TEST, October, 6, 204 Question 3: Let φ be a smooth scalar field in R d, (d is the space dimension). (a) Prove that i () = i. Give all the details. Using the product rule, we have i () = d j φ i ( j φ) = i ( 2 j= d ( j φ) 2 ) = i ( 2 2 ) = i. j= (b) Let ɛ > 0. Show that ( 2 + ɛe i ) = Using the chain rule, we have +ɛ 2 i() where e i is the unit vector in the direction i. ( 2 + ɛe i ) = i ( 2 + ɛ) = ɛ i( 2 + ɛ) = 2 + ɛ i. Then using (a) we infer that ( 2 + ɛe i ) = 2 + ɛ i(). (c) Assume that φ(x) = 0 for all x R where R is a positive real number. Compute R d for all i =,..., d. Give all the details. Using (b) we have R d 2 + ɛ i()dx = ( 2 + ɛe i )dx, R d +ɛ i()dx, 2 where e i is the unit vector in the direction i. The divergence theorem together with the assumption that φ(x) = 0 for all x R implies that 2 + ɛ i()dx = 0. R d

3 Last name: name: 3 ( Question 4: Consider the vibrating beam equation tt u(x, t) + x 2 +cos(x) xx +x 2 xx u(x, t) ) = 0, u(x, 0) = f(x), t u(x, 0) = g(x), x (, + ), t > 0 with u(±, t) = 0, x u(±, t) = 0, xx u(±, t) = 0. Use the energy method to compute ([ tu(x, t)] 2 + x2 +cos(x) +x [ 2 xx u(x, t)] 2 )dx in terms of f and g. Give all the details. (Hint: test the equation with t u(x, t)). Using the hint we have 0 = ( x 2 ) + cos(x) ( tt u(x, t) t u(x, t) + xx + x 2 xx u(x, t) )dx Using the product rule, a t a = 2 ta 2 where a = t u(x, t), and integrating by parts two times (i.e., applying the fundamental theorem of calculus) we obtain 0 = = ( 2 t( t u(x, t)) 2 x ( x 2 + cos(x) ( t 2 ( tu(x, t)) 2 + We apply again the product rule a t a = 2 ta 2 where a = xx u(x, t), 0 = ( t 2 ( tu(x, t)) ) + x 2 xx u(x, t) t x u(x, t))dx ( x 2 ) + cos(x) + x 2 xx u(x, t) t xx u(x, t))dx. x 2 + cos(x) + x 2 t ( xx u(x, t)) 2 )dx. Switching the derivative with respect to t and the integration with respect to x, this finally gives In other words, 0 = 2 t ([ t u(x, t)] 2 + x2 + cos(x) + x 2 [ xx u(x, t)] 2 )dx = ([ t u(x, t)] 2 + x2 + cos(x) + x 2 [ xx u(x, t)] 2 )dx. (g(x) 2 + x2 + cos(x) + x 2 [ x f(x)] 2 )dx.

4 4 Mid-Term TEST, October, 6, 204 Question 5: Let k, f : [, +] R be such that k(x) = 3, f(x) = 6 if x [, 0] and k(x) =, f(x) = 2 if x (0, ]. Consider the boundary value problem x (k(x) x T (x)) = f(x) with T () = and x T () =. (a) What should be the interface conditions at x = 0 for this problem to make sense? The function T and the flux k(x) x T (x) must be continuous at x = 0. Let T denote the solution on [, 0] and T + the solution on [0, +]. One should have T (0) = T + (0) and k (0) x T (0) = k + (0) x T + (0), where k (0) = 3 and k + (0) =. (b) Solve the problem, i.e., find T (x), x [, +]. Give all the details. On [, 0] we have k (x) = 3 and f (x) = 6 which implies 3 xx T (x) = 6. This in turn implies T (x) = x 2 + ax + b. The Dirichlet condition at x = implies that T () = = a + b. This gives a = b and T (x) = x 2 + bx + b. We proceed similarly on [0, +] and we obtain xx T (x) = 2, which implies that T + (x) = x 2 + cx + d. Neumann condition at x = implies T + () = = 2 + c. This gives c = 3 and T (x) = x 2 + 3x + d. The interface conditions T (0) = T + (0) and k (0) x T (0) = k + (0) x T + (0) give b = d and 3b = 3, respectively. In conclusion b =, d = and { x 2 + x + if x [, 0], T (x) = x 2 + 3x + if x [0, ]. The

5 Last name: name: 5 Question 6: (a) Compute the coefficients of the sine series of f(x) = x for x [0, +π]. (Recall that by definition SS(f)(x) = + m= b m sin(mx) with b m = 2 π f(x) sin(mx)dx.) The definition of SS(f)(x) implies that π 0 b m = 2 π π 0 = 2 m ()m+. x sin(mx)dx = 2 π π 0 m cos(mx)dx + 2 π [ x m cos(mx)]π 0 As a result SS(f)(x) = + m= 2 m ()m+ sin(mx). (b) For which values of x in [0, +π] does the sine series coincide with f(x)? (Explain). The sine series coincides with the function f(x) over the entire interval [0, +π) since f(0) = 0 and f is smooth over [0, +π). The series does not coincide with f(+π) since f(+π) 0. (c) The sine series of x 2 over [0, +π] is SS(x 2 )(x) = + sine series of h(x) = x(π x). (Hint: use (a)) m= ( 4 Let h(x) = x(π x). Note that by linearity of the sine series we have as a result b m (h) = πb m (x) b m (x 2 ), i.e., SS(h)(x) = SS(πx)(x) SS(x 2 )(x), m 3 π (()m ) + 2π m ()m+ ) sin(mx). Compute the In conclusion b m (h) = π 2 4 m ()m+ ( m 3 π (()m ) + 2π m ()m+ ) = 4 m 3 π ( + ()m+ ). SS(h)(x) = m= 4 m 3 π ( + ()m+ ) sin(mx). (d) Compute the cosine series of the function g(x) := π 2x defined over [0, +π]. (Hint: x (x(π x)) = π 2x.) Observe that h(0) = h(π) = 0; as a result the sine series of h is continuous at 0 and +π. This in turn implies that it is the legitimate to differentiate the sine series of h term by term to obtain the cosine series of h (x) = g(x). In other words, 4 CS(g)(x) = x SS(h)(x) = m 2 π ( + ()m+ ) cos(mx). m= (e) Compute the sine series of h(x) = sin(x) for x [0, +π]. Obviously SS(h)(x) = sin(x), x R.

6 6 Mid-Term TEST, October, 6, 204 Question 7: Using cylindrical coordinates and the method of separation of variables, solve the equation, r r(r r u)+ r 2 θθ u = 0, inside the domain D = {θ [0, 3 2 π], r [0, 3]}, subject to the boundary conditions θu(r, 0) = 0, u(r, 3 2π) = 0, u(3, θ) = 9 cos(θ). (Give all the details of all the steps.) () We set u(r, θ) = φ(θ)g(r). This means φ = λφ, with φ (0) = 0 and φ( 3 d 2π) = 0, and r dr (r d dr g(r)) = λg(r). (2) The usual energy argument applied to the two-point boundary value problem φ = λφ, φ (0) = 0, φ( 3 π) = 0, 2 implies that λ is non-negative. If λ = 0, then φ(θ) = c + c 2 θ and the boundary conditions imply c = c 2 = 0, i.e., φ = 0, which in turns gives u = 0 and this solution is incompatible with the boundary condition u(3, θ) = 9 sin(2θ). Hence λ > 0 and φ(θ) = c cos( λθ) + c 2 sin( λθ). (3) The boundary condition φ (0) = 0 implies c 2 = 0. The boundary condition φ( 3 2 π) = 0 implies that cos( λ 3 2π) = 0, i.e., λ 3 2 π = (2n + ) π 2 with n N. This means λ = 3 (2n + ), n = 0,, 2,.... (4) From class we know that g(r) is of the form r α, α 0. The equality r d dr (r d dr rα ) = λr α gives α 2 = λ. The condition α 0 implies 3 (2n + ) = α = λ. The boundary condition at r = 3 gives 9 cos(θ) = c 3 3 (2n+) cos( 3 (2n + )θ) for all θ [0, 3 2 π]. This implies n = and c = 3. (5) Finally, the solution to the problem is u(r, θ) = 3r cos(θ).

7 Last name: name: 7 Question 8: Let p, q : [, +] R be smooth functions. Assume that p(x) 0 and q(x) q 0 for all x [, +], where q 0 R. Consider the eigenvalue problem x (p(x) x φ(x)) + q(x)φ(x) = λφ(x), supplemented with the boundary conditions x φ() = 0 and x φ() = 2φ(). (a) Prove that it is necessary that λ q 0 for a non-zero (smooth) solution, φ, to exist. (Hint: q 0 φ2 (x)dx q(x)φ2 (x)dx.) As usual we use the energy method. Let (φ, λ) be an eigenpair, then ( x (p(x) x φ(x))φ(x) + q(x)φ 2 (x))dx = λ After integration by parts and using the boundary conditions, we obtain λ φ 2 (x)dx = = which, using the hint, can also be re-written Then Assume that φ is non-zero, then φ 2 (x)dx. (p(x) x φ(x) x φ(x) + q(x)φ 2 (x))dx 2p(x) x φ(x)φ(x) + (p(x) x φ(x) x φ(x) + q(x)φ 2 (x))dx + 2p()φ() 2 (p(x) x φ(x) x φ(x) + q 0 φ 2 (x))dx + 2p()φ() 2 λ 2p()φ() 2 + λ q 0 p(x)( x φ(x)) 2 dx (λ q 0 ) p(x)( xφ(x)) 2 dx + 2p()φ() 2 0, φ2 (x)dx φ 2 (x)dx. which proves that it is necessary that λ q 0 for a non-zero (smooth) solution to exist. φ 2 (x)dx. (b) Assume that p(x) p 0 > 0 for all x [, +] where p 0 R +. Show that λ = q 0 cannot be an eigenvalue, i.e., prove that φ = 0 if λ = q 0. (Hint: p 0 ψ2 (x)dx p(x)ψ2 (x)dx.) Assume that λ = q 0 is an eigenvalue. Then the above computation shows that p 0 ( x φ(x)) 2 dx p(x)( x φ(x)) 2 dx = 0, which means that ( xφ(x)) 2 dx = 0 since p 0 > 0. As a result x φ = 0, i.e., φ(x) = c where c is a constant. The boundary condition φ() = 2φ() implies that c = 0. In conclusion φ = 0 if λ = q 0, thereby proving that (φ, q 0 ) is not an eigenpair.

8 8 Mid-Term TEST, October, 6, 204 Question 9: Use the Fourier transform technique to solve t u(x, t) xx u(x, t)+cos(t) x u(x, t)+(+2t)u(x, t) = 0, x R, t > 0, with u(x, 0) = u 0 (x). (Hint: use the definition F(f)(ω) := + 2π f(x)eiωx dx), the result F(e αx2 )(ω) = 4πα e ω2 4α, the convolution theorem and the shift lemma: F(f(x β))(ω) = F(f)(ω)e iωβ. Go slowly and give all the details.) Applying the Fourier transform to the equation gives This can also be re-written as follows: t F(u)(ω, t) + ω 2 F(u)(ω, t) + cos(t)( iω)f(u)(ω, t) + ( + 2t)F(u)(ω, t) = 0 t F(u)(ω, t) F(u)(ω, t) = ω 2 + iω cos(t) ( + 2t). Then applying the fundamental theorem of calculus between 0 and t, we obtain log(f(u)(ω, t)) log(f(u)(ω, 0)) = ω 2 t + iω sin(t) (t + t 2 ). This implies F(u)(ω, t) = F(u 0 )(ω)e ω2t e iω sin(t) e (t+t2). Using the result F(e αx2 )(ω) = 4πα e ω2 4α Then setting g = u 0 e x2 4t This finally gives u(x, t) = where α = 4t, this implies that π F(u)(ω, t) = t F(u 0)(ω)F(e x 2 4t )(ω)e iω sin(t) e (t+t2 ) π = t F(u 0 e x 2 4t )(ω)e iω sin(t) e (t+t2). the convolution theorem followed by the shift lemma gives F(u)(ω, t) = π F(g(x 2) sin(t)))(ω)e (t+t. 2π t g(x 2) sin(t))e (t+t = e ) (t+t2 4πt 4πt u 0 (y)e (x sin(t) y)2 4t dy.

1 Partial derivatives and Chain rule

1 Partial derivatives and Chain rule Math 62 Partial derivatives and Chain rule Question : Let u be a solution to the PDE t u(x, t) + 2 xu 2 (x, t) ν xx u(x, t) =, x (, + ), t >. (a) Let ψ(x, t) = x tu(ξ, t)dξ + 2 u2 (x, t) ν x u(x, t). Compute

More information

sech(ax) = 1 ch(x) = 2 e x + e x (10) cos(a) cos(b) = 2 sin( 1 2 (a + b)) sin( 1 2

sech(ax) = 1 ch(x) = 2 e x + e x (10) cos(a) cos(b) = 2 sin( 1 2 (a + b)) sin( 1 2 Math 60 43 6 Fourier transform Here are some formulae that you may want to use: F(f)(ω) def = f(x)e iωx dx, F (f)(x) = f(ω)e iωx dω, (3) F(f g) = F(f)F(g), (4) F(e α x ) = α π ω + α, F( α x + α )(ω) =

More information

Exercises given in lecture on the day in parantheses.

Exercises given in lecture on the day in parantheses. A.Miller M22 Fall 23 Exercises given in lecture on the day in parantheses. The ɛ δ game. lim x a f(x) = L iff Hero has a winning strategy in the following game: Devil plays: ɛ > Hero plays: δ > Devil plays:

More information

Green s Theorem. Fundamental Theorem for Conservative Vector Fields

Green s Theorem. Fundamental Theorem for Conservative Vector Fields Assignment - Mathematics 4(Model Answer) onservative vector field and Green theorem onservative Vector Fields If F = φ, for some differentiable function φ in a domaind, then we say that F is conservative

More information

M412 Assignment 5 Solutions

M412 Assignment 5 Solutions M41 Assignment 5 Solutions 1. [1 pts] Haberman.5.1 (a). Solution. Setting u(x, y) =X(x)Y(y), we find that X and Y satisfy X + λx = Y λy =, X () = X () = Y() =. In this case, we find from the X equation

More information

UNIVERSITY of LIMERICK OLLSCOIL LUIMNIGH

UNIVERSITY of LIMERICK OLLSCOIL LUIMNIGH UNIVERSITY of LIMERICK OLLSCOIL LUIMNIGH Faculty of Science and Engineering Department of Mathematics and Statistics END OF SEMESTER ASSESSMENT PAPER MODULE CODE: MA4006 SEMESTER: Spring 2011 MODULE TITLE:

More information

Math 241 Final Exam Spring 2013

Math 241 Final Exam Spring 2013 Name: Math 241 Final Exam Spring 213 1 Instructor (circle one): Epstein Hynd Wong Please turn off and put away all electronic devices. You may use both sides of a 3 5 card for handwritten notes while you

More information

Math 251 December 14, 2005 Final Exam. 1 18pt 2 16pt 3 12pt 4 14pt 5 12pt 6 14pt 7 14pt 8 16pt 9 20pt 10 14pt Total 150pt

Math 251 December 14, 2005 Final Exam. 1 18pt 2 16pt 3 12pt 4 14pt 5 12pt 6 14pt 7 14pt 8 16pt 9 20pt 10 14pt Total 150pt Math 251 December 14, 2005 Final Exam Name Section There are 10 questions on this exam. Many of them have multiple parts. The point value of each question is indicated either at the beginning of each question

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

MATH 425, FINAL EXAM SOLUTIONS

MATH 425, FINAL EXAM SOLUTIONS MATH 425, FINAL EXAM SOLUTIONS Each exercise is worth 50 points. Exercise. a The operator L is defined on smooth functions of (x, y by: Is the operator L linear? Prove your answer. L (u := arctan(xy u

More information

SCORE. Exam 3. MA 114 Exam 3 Fall 2016

SCORE. Exam 3. MA 114 Exam 3 Fall 2016 Exam 3 Name: Section and/or TA: Do not remove this answer page you will return the whole exam. You will be allowed two hours to complete this test. No books or notes may be used. You may use a graphing

More information

DRAFT - Math 102 Lecture Note - Dr. Said Algarni

DRAFT - Math 102 Lecture Note - Dr. Said Algarni Math02 - Term72 - Guides and Exercises - DRAFT 7 Techniques of Integration A summery for the most important integrals that we have learned so far: 7. Integration by Parts The Product Rule states that if

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

y = x 3 and y = 2x 2 x. 2x 2 x = x 3 x 3 2x 2 + x = 0 x(x 2 2x + 1) = 0 x(x 1) 2 = 0 x = 0 and x = (x 3 (2x 2 x)) dx

y = x 3 and y = 2x 2 x. 2x 2 x = x 3 x 3 2x 2 + x = 0 x(x 2 2x + 1) = 0 x(x 1) 2 = 0 x = 0 and x = (x 3 (2x 2 x)) dx Millersville University Name Answer Key Mathematics Department MATH 2, Calculus II, Final Examination May 4, 2, 8:AM-:AM Please answer the following questions. Your answers will be evaluated on their correctness,

More information

UNIVERSITY OF MANITOBA

UNIVERSITY OF MANITOBA Question Points Score INSTRUCTIONS TO STUDENTS: This is a 6 hour examination. No extra time will be given. No texts, notes, or other aids are permitted. There are no calculators, cellphones or electronic

More information

Chapter 7: Techniques of Integration

Chapter 7: Techniques of Integration Chapter 7: Techniques of Integration MATH 206-01: Calculus II Department of Mathematics University of Louisville last corrected September 14, 2013 1 / 43 Chapter 7: Techniques of Integration 7.1. Integration

More information

Math 46, Applied Math (Spring 2009): Final

Math 46, Applied Math (Spring 2009): Final Math 46, Applied Math (Spring 2009): Final 3 hours, 80 points total, 9 questions worth varying numbers of points 1. [8 points] Find an approximate solution to the following initial-value problem which

More information

Bessel s Equation. MATH 365 Ordinary Differential Equations. J. Robert Buchanan. Fall Department of Mathematics

Bessel s Equation. MATH 365 Ordinary Differential Equations. J. Robert Buchanan. Fall Department of Mathematics Bessel s Equation MATH 365 Ordinary Differential Equations J. Robert Buchanan Department of Mathematics Fall 2018 Background Bessel s equation of order ν has the form where ν is a constant. x 2 y + xy

More information

Analysis III Solutions - Serie 12

Analysis III Solutions - Serie 12 .. Necessary condition Let us consider the following problem for < x, y < π, u =, for < x, y < π, u y (x, π) = x a, for < x < π, u y (x, ) = a x, for < x < π, u x (, y) = u x (π, y) =, for < y < π. Find

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

Final Exam May 4, 2016

Final Exam May 4, 2016 1 Math 425 / AMCS 525 Dr. DeTurck Final Exam May 4, 2016 You may use your book and notes on this exam. Show your work in the exam book. Work only the problems that correspond to the section that you prepared.

More information

Exam 3 Solutions. Multiple Choice Questions

Exam 3 Solutions. Multiple Choice Questions MA 4 Exam 3 Solutions Fall 26 Exam 3 Solutions Multiple Choice Questions. The average value of the function f (x) = x + sin(x) on the interval [, 2π] is: A. 2π 2 2π B. π 2π 2 + 2π 4π 2 2π 4π 2 + 2π 2.

More information

Math 5587 Midterm II Solutions

Math 5587 Midterm II Solutions Math 5587 Midterm II Solutions Prof. Jeff Calder November 3, 2016 Name: Instructions: 1. I recommend looking over the problems first and starting with those you feel most comfortable with. 2. Unless otherwise

More information

MATH 819 FALL We considered solutions of this equation on the domain Ū, where

MATH 819 FALL We considered solutions of this equation on the domain Ū, where MATH 89 FALL. The D linear wave equation weak solutions We have considered the initial value problem for the wave equation in one space dimension: (a) (b) (c) u tt u xx = f(x, t) u(x, ) = g(x), u t (x,

More information

Partial Differential Equations

Partial Differential Equations M3M3 Partial Differential Equations Solutions to problem sheet 3/4 1* (i) Show that the second order linear differential operators L and M, defined in some domain Ω R n, and given by Mφ = Lφ = j=1 j=1

More information

17 Source Problems for Heat and Wave IB- VPs

17 Source Problems for Heat and Wave IB- VPs 17 Source Problems for Heat and Wave IB- VPs We have mostly dealt with homogeneous equations, homogeneous b.c.s in this course so far. Recall that if we have non-homogeneous b.c.s, then we want to first

More information

THE NATIONAL UNIVERSITY OF IRELAND, CORK COLÁISTE NA hollscoile, CORCAIGH UNIVERSITY COLLEGE, CORK. Summer Examination 2009.

THE NATIONAL UNIVERSITY OF IRELAND, CORK COLÁISTE NA hollscoile, CORCAIGH UNIVERSITY COLLEGE, CORK. Summer Examination 2009. OLLSCOIL NA héireann, CORCAIGH THE NATIONAL UNIVERSITY OF IRELAND, CORK COLÁISTE NA hollscoile, CORCAIGH UNIVERSITY COLLEGE, CORK Summer Examination 2009 First Engineering MA008 Calculus and Linear Algebra

More information

Problem 1. Use a line integral to find the plane area enclosed by the curve C: r = a cos 3 t i + b sin 3 t j (0 t 2π). Solution: We assume a > b > 0.

Problem 1. Use a line integral to find the plane area enclosed by the curve C: r = a cos 3 t i + b sin 3 t j (0 t 2π). Solution: We assume a > b > 0. MATH 64: FINAL EXAM olutions Problem 1. Use a line integral to find the plane area enclosed by the curve C: r = a cos 3 t i + b sin 3 t j ( t π). olution: We assume a > b >. A = 1 π (xy yx )dt = 3ab π

More information

Chapter 2: Differentiation

Chapter 2: Differentiation Chapter 2: Differentiation Winter 2016 Department of Mathematics Hong Kong Baptist University 1 / 75 2.1 Tangent Lines and Their Slopes This section deals with the problem of finding a straight line L

More information

Introduction of Partial Differential Equations and Boundary Value Problems

Introduction of Partial Differential Equations and Boundary Value Problems Introduction of Partial Differential Equations and Boundary Value Problems 2009 Outline Definition Classification Where PDEs come from? Well-posed problem, solutions Initial Conditions and Boundary Conditions

More information

6 Non-homogeneous Heat Problems

6 Non-homogeneous Heat Problems 6 Non-homogeneous Heat Problems Up to this point all the problems we have considered for the heat or wave equation we what we call homogeneous problems. This means that for an interval < x < l the problems

More information

Grade: The remainder of this page has been left blank for your workings. VERSION D. Midterm D: Page 1 of 12

Grade: The remainder of this page has been left blank for your workings. VERSION D. Midterm D: Page 1 of 12 First Name: Student-No: Last Name: Section: Grade: The remainder of this page has been left blank for your workings. Midterm D: Page of 2 Indefinite Integrals. 9 marks Each part is worth marks. Please

More information

Math 337, Summer 2010 Assignment 5

Math 337, Summer 2010 Assignment 5 Math 337, Summer Assignment 5 Dr. T Hillen, University of Alberta Exercise.. Consider Laplace s equation r r r u + u r r θ = in a semi-circular disk of radius a centered at the origin with boundary conditions

More information

3. Use absolute value notation to write an inequality that represents the statement: x is within 3 units of 2 on the real line.

3. Use absolute value notation to write an inequality that represents the statement: x is within 3 units of 2 on the real line. PreCalculus Review Review Questions 1 The following transformations are applied in the given order) to the graph of y = x I Vertical Stretch by a factor of II Horizontal shift to the right by units III

More information

1 Wave Equation on Finite Interval

1 Wave Equation on Finite Interval 1 Wave Equation on Finite Interval 1.1 Wave Equation Dirichlet Boundary Conditions u tt (x, t) = c u xx (x, t), < x < l, t > (1.1) u(, t) =, u(l, t) = u(x, ) = f(x) u t (x, ) = g(x) First we present the

More information

Calculus II Practice Test Problems for Chapter 7 Page 1 of 6

Calculus II Practice Test Problems for Chapter 7 Page 1 of 6 Calculus II Practice Test Problems for Chapter 7 Page of 6 This is a set of practice test problems for Chapter 7. This is in no way an inclusive set of problems there can be other types of problems on

More information

Math 46, Applied Math (Spring 2008): Final

Math 46, Applied Math (Spring 2008): Final Math 46, Applied Math (Spring 2008): Final 3 hours, 80 points total, 9 questions, roughly in syllabus order (apart from short answers) 1. [16 points. Note part c, worth 7 points, is independent of the

More information

MATH 2400: Calculus III, Fall 2013 FINAL EXAM

MATH 2400: Calculus III, Fall 2013 FINAL EXAM MATH 2400: Calculus III, Fall 2013 FINAL EXAM December 16, 2013 YOUR NAME: Circle Your Section 001 E. Angel...................... (9am) 002 E. Angel..................... (10am) 003 A. Nita.......................

More information

Math 489AB A Very Brief Intro to Fourier Series Fall 2008

Math 489AB A Very Brief Intro to Fourier Series Fall 2008 Math 489AB A Very Brief Intro to Fourier Series Fall 8 Contents Fourier Series. The coefficients........................................ Convergence......................................... 4.3 Convergence

More information

Note: Final Exam is at 10:45 on Tuesday, 5/3/11 (This is the Final Exam time reserved for our labs). From Practice Test I

Note: Final Exam is at 10:45 on Tuesday, 5/3/11 (This is the Final Exam time reserved for our labs). From Practice Test I MA Practice Final Answers in Red 4/8/ and 4/9/ Name Note: Final Exam is at :45 on Tuesday, 5// (This is the Final Exam time reserved for our labs). From Practice Test I Consider the integral 5 x dx. Sketch

More information

Chapter 2: Differentiation

Chapter 2: Differentiation Chapter 2: Differentiation Spring 2018 Department of Mathematics Hong Kong Baptist University 1 / 82 2.1 Tangent Lines and Their Slopes This section deals with the problem of finding a straight line L

More information

Math 152 Take Home Test 1

Math 152 Take Home Test 1 Math 5 Take Home Test Due Monday 5 th October (5 points) The following test will be done at home in order to ensure that it is a fair and representative reflection of your own ability in mathematics I

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

SET 1. (1) Solve for x: (a) e 2x = 5 3x

SET 1. (1) Solve for x: (a) e 2x = 5 3x () Solve for x: (a) e x = 5 3x SET We take natural log on both sides: ln(e x ) = ln(5 3x ) x = 3 x ln(5) Now we take log base on both sides: log ( x ) = log (3 x ln 5) x = log (3 x ) + log (ln(5)) x x

More information

CALCULUS ASSESSMENT REVIEW

CALCULUS ASSESSMENT REVIEW CALCULUS ASSESSMENT REVIEW DEPARTMENT OF MATHEMATICS CHRISTOPHER NEWPORT UNIVERSITY 1. Introduction and Topics The purpose of these notes is to give an idea of what to expect on the Calculus Readiness

More information

Autumn 2015 Practice Final. Time Limit: 1 hour, 50 minutes

Autumn 2015 Practice Final. Time Limit: 1 hour, 50 minutes Math 309 Autumn 2015 Practice Final December 2015 Time Limit: 1 hour, 50 minutes Name (Print): ID Number: This exam contains 9 pages (including this cover page) and 8 problems. Check to see if any pages

More information

# Points Score Total 100

# Points Score Total 100 Name: PennID: Math 241 Make-Up Final Exam January 19, 2016 Instructions: Turn off and put away your cell phone. Please write your Name and PennID on the top of this page. Please sign and date the pledge

More information

McGill University April 20, Advanced Calculus for Engineers

McGill University April 20, Advanced Calculus for Engineers McGill University April 0, 016 Faculty of Science Final examination Advanced Calculus for Engineers Math 64 April 0, 016 Time: PM-5PM Examiner: Prof. R. Choksi Associate Examiner: Prof. A. Hundemer Student

More information

(c) The first thing to do for this problem is to create a parametric curve for C. One choice would be. (cos(t), sin(t)) with 0 t 2π

(c) The first thing to do for this problem is to create a parametric curve for C. One choice would be. (cos(t), sin(t)) with 0 t 2π 1. Let g(x, y) = (y, x) ompute gds for a circle with radius 1 centered at the origin using the line integral. (Hint: use polar coordinates for your parametrization). (a) Write out f((t)) so that f is a

More information

Math 180, Final Exam, Fall 2012 Problem 1 Solution

Math 180, Final Exam, Fall 2012 Problem 1 Solution Math 80, Final Exam, Fall 0 Problem Solution. Find the derivatives of the following functions: (a) ln(ln(x)) (b) x 6 + sin(x) e x (c) tan(x ) + cot(x ) (a) We evaluate the derivative using the Chain Rule.

More information

Math 226 Calculus Spring 2016 Exam 2V1

Math 226 Calculus Spring 2016 Exam 2V1 Math 6 Calculus Spring 6 Exam V () (35 Points) Evaluate the following integrals. (a) (7 Points) tan 5 (x) sec 3 (x) dx (b) (8 Points) cos 4 (x) dx Math 6 Calculus Spring 6 Exam V () (Continued) Evaluate

More information

MATH FALL 2014 HOMEWORK 10 SOLUTIONS

MATH FALL 2014 HOMEWORK 10 SOLUTIONS Problem 1. MATH 241-2 FA 214 HOMEWORK 1 SOUTIONS Note that u E (x) 1 ( x) is an equilibrium distribution for the homogeneous pde that satisfies the given boundary conditions. We therefore want to find

More information

THE METHOD OF SEPARATION OF VARIABLES

THE METHOD OF SEPARATION OF VARIABLES THE METHOD OF SEPARATION OF VARIABES To solve the BVPs that we have encountered so far, we will use separation of variables on the homogeneous part of the BVP. This separation of variables leads to problems

More information

Math 54: Mock Final. December 11, y y 2y = cos(x) sin(2x). The auxiliary equation for the corresponding homogeneous problem is

Math 54: Mock Final. December 11, y y 2y = cos(x) sin(2x). The auxiliary equation for the corresponding homogeneous problem is Name: Solutions Math 54: Mock Final December, 25 Find the general solution of y y 2y = cos(x) sin(2x) The auxiliary equation for the corresponding homogeneous problem is r 2 r 2 = (r 2)(r + ) = r = 2,

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

Traffic flow problems. u t + [uv(u)] x = 0. u 0 x > 1

Traffic flow problems. u t + [uv(u)] x = 0. u 0 x > 1 The flow of cars is modelled by the PDE Traffic flow problems u t + [uvu)] x = 1. If vu) = 1 u and x < a) ux, ) = u x 2 x 1 u x > 1 b) ux, ) = u e x, where < u < 1, determine when and where a shock first

More information

SCORE. Exam 3. MA 114 Exam 3 Fall 2016

SCORE. Exam 3. MA 114 Exam 3 Fall 2016 Exam 3 Name: Section and/or TA: Do not remove this answer page you will return the whole exam. You will be allowed two hours to complete this test. No books or notes may be used. You may use a graphing

More information

A Motivation for Fourier Analysis in Physics

A Motivation for Fourier Analysis in Physics A Motivation for Fourier Analysis in Physics PHYS 500 - Southern Illinois University November 8, 2016 PHYS 500 - Southern Illinois University A Motivation for Fourier Analysis in Physics November 8, 2016

More information

MATH H53 : Final exam

MATH H53 : Final exam MATH H53 : Final exam 11 May, 18 Name: You have 18 minutes to answer the questions. Use of calculators or any electronic items is not permitted. Answer the questions in the space provided. If you run out

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

Mathematics of Physics and Engineering II: Homework problems

Mathematics of Physics and Engineering II: Homework problems Mathematics of Physics and Engineering II: Homework problems Homework. Problem. Consider four points in R 3 : P (,, ), Q(,, 2), R(,, ), S( + a,, 2a), where a is a real number. () Compute the coordinates

More information

My signature below certifies that I have complied with the University of Pennsylvania s Code of Academic Integrity in completing this exam.

My signature below certifies that I have complied with the University of Pennsylvania s Code of Academic Integrity in completing this exam. My signature below certifies that I have complied with the University of Pennsylvania s Code of Academic Integrity in completing this exam. Signature Printed Name Math 241 Exam 1 Jerry Kazdan Feb. 17,

More information

McGill University April 16, Advanced Calculus for Engineers

McGill University April 16, Advanced Calculus for Engineers McGill University April 16, 2014 Faculty of cience Final examination Advanced Calculus for Engineers Math 264 April 16, 2014 Time: 6PM-9PM Examiner: Prof. R. Choksi Associate Examiner: Prof. A. Hundemer

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

Partial Differential Equations

Partial Differential Equations Part II Partial Differential Equations Year 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2015 Paper 4, Section II 29E Partial Differential Equations 72 (a) Show that the Cauchy problem for u(x,

More information

MATH 241 Practice Second Midterm Exam - Fall 2012

MATH 241 Practice Second Midterm Exam - Fall 2012 MATH 41 Practice Second Midterm Exam - Fall 1 1. Let f(x = { 1 x for x 1 for 1 x (a Compute the Fourier sine series of f(x. The Fourier sine series is b n sin where b n = f(x sin dx = 1 = (1 x cos = 4

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

Differential Equations

Differential Equations Differential Equations Problem Sheet 1 3 rd November 2011 First-Order Ordinary Differential Equations 1. Find the general solutions of the following separable differential equations. Which equations are

More information

FINAL EXAM, MATH 353 SUMMER I 2015

FINAL EXAM, MATH 353 SUMMER I 2015 FINAL EXAM, MATH 353 SUMMER I 25 9:am-2:pm, Thursday, June 25 I have neither given nor received any unauthorized help on this exam and I have conducted myself within the guidelines of the Duke Community

More information

MATH 31BH Homework 5 Solutions

MATH 31BH Homework 5 Solutions MATH 3BH Homework 5 Solutions February 4, 204 Problem.8.2 (a) Let x t f y = x 2 + y 2 + 2z 2 and g(t) = t 2. z t 3 Then by the chain rule a a a D(g f) b = Dg f b Df b c c c = [Dg(a 2 + b 2 + 2c 2 )] [

More information

Campus Academic Resource Program Chain Rule

Campus Academic Resource Program Chain Rule This handout will: Provide a strategy to identify composite functions Provide a strategy to find chain rule by using a substitution method. Identifying Composite Functions This section will provide a strategy

More information

Lecture 4: Fourier Transforms.

Lecture 4: Fourier Transforms. 1 Definition. Lecture 4: Fourier Transforms. We now come to Fourier transforms, which we give in the form of a definition. First we define the spaces L 1 () and L 2 (). Definition 1.1 The space L 1 ()

More information

b n x n + b n 1 x n b 1 x + b 0

b n x n + b n 1 x n b 1 x + b 0 Math Partial Fractions Stewart 7.4 Integrating basic rational functions. For a function f(x), we have examined several algebraic methods for finding its indefinite integral (antiderivative) F (x) = f(x)

More information

Modeling using conservation laws. Let u(x, t) = density (heat, momentum, probability,...) so that. u dx = amount in region R Ω. R

Modeling using conservation laws. Let u(x, t) = density (heat, momentum, probability,...) so that. u dx = amount in region R Ω. R Modeling using conservation laws Let u(x, t) = density (heat, momentum, probability,...) so that u dx = amount in region R Ω. R Modeling using conservation laws Let u(x, t) = density (heat, momentum, probability,...)

More information

The Fourier series for a 2π-periodic function

The Fourier series for a 2π-periodic function The Fourier series for a 2π-periodic function Let f : ( π, π] R be a bounded piecewise continuous function which we continue to be a 2π-periodic function defined on R, i.e. f (x + 2π) = f (x), x R. The

More information

PH.D. PRELIMINARY EXAMINATION MATHEMATICS

PH.D. PRELIMINARY EXAMINATION MATHEMATICS UNIVERSITY OF CALIFORNIA, BERKELEY Dept. of Civil and Environmental Engineering FALL SEMESTER 2014 Structural Engineering, Mechanics and Materials NAME PH.D. PRELIMINARY EXAMINATION MATHEMATICS Problem

More information

4 1-D Boundary Value Problems Heat Equation

4 1-D Boundary Value Problems Heat Equation 4 -D Boundary Vaue Probems Heat Equation The main purpose of this chapter is to study boundary vaue probems for the heat equation on a finite rod a x b. u t (x, t = ku xx (x, t, a < x < b, t > u(x, = ϕ(x

More information

MATH1231 CALCULUS. Session II Dr John Roberts (based on notes of A./Prof. Bruce Henry) Red Center Room 3065

MATH1231 CALCULUS. Session II Dr John Roberts (based on notes of A./Prof. Bruce Henry) Red Center Room 3065 MATH1231 CALCULUS Session II 2007. Dr John Roberts (based on notes of A./Prof. Bruce Henry) Red Center Room 3065 Jag.Roberts@unsw.edu.au MATH1231 CALCULUS p.1/66 Overview Systematic Integration Techniques

More information

Final Exam Review Quesitons

Final Exam Review Quesitons Final Exam Review Quesitons. Compute the following integrals. (a) x x 4 (x ) (x + 4) dx. The appropriate partial fraction form is which simplifies to x x 4 (x ) (x + 4) = A x + B (x ) + C x + 4 + Dx x

More information

Review Sol. of More Long Answer Questions

Review Sol. of More Long Answer Questions Review Sol. of More Long Answer Questions 1. Solve the integro-differential equation t y (t) e t v y(v)dv = t; y()=. (1) Solution. The key is to recognize the convolution: t e t v y(v) dv = e t y. () Now

More information

Section Consider the wave equation: ρu tt = T 0 u xx + αu + βu t

Section Consider the wave equation: ρu tt = T 0 u xx + αu + βu t Section 5.3 Exercises, 3, 5, 7, 8 and 9 were assigned, and 7,8 were to turn in. You might also note that 5.3.1 was done in class (it is poorly worded, since it is the ODE that is Sturm-iouville, not a

More information

DEPARTMENT OF MATHEMATICS

DEPARTMENT OF MATHEMATICS DEPARTMENT OF MATHEMATICS A2 level Mathematics Core 3 course workbook 2015-2016 Name: Welcome to Core 3 (C3) Mathematics. We hope that you will use this workbook to give you an organised set of notes for

More information

The Fourier Transform Method

The Fourier Transform Method The Fourier Transform Method R. C. Trinity University Partial Differential Equations April 22, 2014 Recall The Fourier transform The Fourier transform of a piecewise smooth f L 1 (R) is ˆf(ω) = F(f)(ω)

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

MTH 299 In Class and Recitation Problems SUMMER 2016

MTH 299 In Class and Recitation Problems SUMMER 2016 MTH 299 In Class and Recitation Problems SUMMER 2016 Last updated on: May 13, 2016 MTH299 - Examples CONTENTS Contents 1 Week 1 3 1.1 In Class Problems.......................................... 3 1.2 Recitation

More information

Applied Math Qualifying Exam 11 October Instructions: Work 2 out of 3 problems in each of the 3 parts for a total of 6 problems.

Applied Math Qualifying Exam 11 October Instructions: Work 2 out of 3 problems in each of the 3 parts for a total of 6 problems. Printed Name: Signature: Applied Math Qualifying Exam 11 October 2014 Instructions: Work 2 out of 3 problems in each of the 3 parts for a total of 6 problems. 2 Part 1 (1) Let Ω be an open subset of R

More information

Math 12 Final Exam Review 1

Math 12 Final Exam Review 1 Math 12 Final Exam Review 1 Part One Calculators are NOT PERMITTED for this part of the exam. 1. a) The sine of angle θ is 1 What are the 2 possible values of θ in the domain 0 θ 2π? 2 b) Draw these angles

More information

Formulas to remember

Formulas to remember Complex numbers Let z = x + iy be a complex number The conjugate z = x iy Formulas to remember The real part Re(z) = x = z+z The imaginary part Im(z) = y = z z i The norm z = zz = x + y The reciprocal

More information

FINAL EXAM CALCULUS 2. Name PRACTICE EXAM SOLUTIONS

FINAL EXAM CALCULUS 2. Name PRACTICE EXAM SOLUTIONS FINAL EXAM CALCULUS MATH 00 FALL 08 Name PRACTICE EXAM SOLUTIONS Please answer all of the questions, and show your work. You must explain your answers to get credit. You will be graded on the clarity of

More information

6.1 The Inverse Sine, Cosine, and Tangent Functions Objectives

6.1 The Inverse Sine, Cosine, and Tangent Functions Objectives Objectives 1. Find the Exact Value of an Inverse Sine, Cosine, or Tangent Function. 2. Find an Approximate Value of an Inverse Sine Function. 3. Use Properties of Inverse Functions to Find Exact Values

More information

Examples of the Fourier Theorem (Sect. 10.3). The Fourier Theorem: Continuous case.

Examples of the Fourier Theorem (Sect. 10.3). The Fourier Theorem: Continuous case. s of the Fourier Theorem (Sect. 1.3. The Fourier Theorem: Continuous case. : Using the Fourier Theorem. The Fourier Theorem: Piecewise continuous case. : Using the Fourier Theorem. The Fourier Theorem:

More information

Fourier Series. 1. Review of Linear Algebra

Fourier Series. 1. Review of Linear Algebra Fourier Series In this section we give a short introduction to Fourier Analysis. If you are interested in Fourier analysis and would like to know more detail, I highly recommend the following book: Fourier

More information

Partial Differential Equations (TATA27)

Partial Differential Equations (TATA27) Partial Differential Equations (TATA7) David Rule Spring 9 Contents Preliminaries. Notation.............................................. Differential equations...................................... 3

More information

MATH 220: MIDTERM OCTOBER 29, 2015

MATH 220: MIDTERM OCTOBER 29, 2015 MATH 22: MIDTERM OCTOBER 29, 25 This is a closed book, closed notes, no electronic devices exam. There are 5 problems. Solve Problems -3 and one of Problems 4 and 5. Write your solutions to problems and

More information

Table of Contents. Module 1

Table of Contents. Module 1 Table of Contents Module Order of operations 6 Signed Numbers Factorization of Integers 7 Further Signed Numbers 3 Fractions 8 Power Laws 4 Fractions and Decimals 9 Introduction to Algebra 5 Percentages

More information

dx n a 1(x) dy

dx n a 1(x) dy HIGHER ORDER DIFFERENTIAL EQUATIONS Theory of linear equations Initial-value and boundary-value problem nth-order initial value problem is Solve: a n (x) dn y dx n + a n 1(x) dn 1 y dx n 1 +... + a 1(x)

More information

Georgia Tech PHYS 6124 Mathematical Methods of Physics I

Georgia Tech PHYS 6124 Mathematical Methods of Physics I Georgia Tech PHYS 612 Mathematical Methods of Physics I Instructor: Predrag Cvitanović Fall semester 2012 Homework Set #5 due October 2, 2012 == show all your work for maximum credit, == put labels, title,

More information

Diffusion on the half-line. The Dirichlet problem

Diffusion on the half-line. The Dirichlet problem Diffusion on the half-line The Dirichlet problem Consider the initial boundary value problem (IBVP) on the half line (, ): v t kv xx = v(x, ) = φ(x) v(, t) =. The solution will be obtained by the reflection

More information

Boundary value problems for partial differential equations

Boundary value problems for partial differential equations Boundary value problems for partial differential equations Henrik Schlichtkrull March 11, 213 1 Boundary value problem 2 1 Introduction This note contains a brief introduction to linear partial differential

More information

AP Calculus Free-Response Questions 1969-present AB

AP Calculus Free-Response Questions 1969-present AB AP Calculus Free-Response Questions 1969-present AB 1969 1. Consider the following functions defined for all x: f 1 (x) = x, f (x) = xcos x, f 3 (x) = 3e x, f 4 (x) = x - x. Answer the following questions

More information