Mathematics Qualifying Exam Study Material

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Mathematics Qualifying Exam Study Material The candidate is expected to have a thorough understanding of engineering mathematics topics. These topics are listed below for clarification. Not all instructors cover exactly the same material during a course, thus it is important for the candidate to closely examine the subject areas listed below. The textbook listed below is a good source for the review and study of a majority of the listed topics. One final note, the example problems made available to the candidates are from past exams and do not cover all subject material. These problems are not to be used as the only source of study material. The topics listed below should be your guide for what you are responsible for knowing. Suggested textbook: Advanced Engineering Mathematics, E. Kreyszig, (John Wiley & Sons, pub) Topic areas: 1. Partial Differential Equations a. Separation of variables b. Numerical solution using finite difference methods. Linear Algebra a. Basic matrix algebra b. Simultaneous linear equations 3. Ordinary Differential Equations a. Solution of linear constant coefficient equations

Name: FALL 014 Qualifying Exam: Engineering analysis Problem 1.

Name: FALL 014 Qualifying Exam: Engineering analysis Problem. Solve the following problem:,,

Name: FALL 014 Qualifying Exam: Engineering analysis Problem 3. Find the work done by the force displacement around the curve of intersection of the paraboloid in the and the cylinder

Name: FALL 014 Qualifying Exam: Engineering analysis Problem 4. Find the general solution of the following ODE

Name: Spring 014 Qualifying Exam: Engineering analysis Problem 1. Find and and show by direct differentiation that, given that

Name: Spring 014 Qualifying Exam: Engineering analysis Problem.

Name: Spring 014 Qualifying Exam: Engineering analysis Problem 3. Evaluate ( is Bessel function of the first kind of order zero)

Name: Spring 014 Qualifying Exam: Engineering analysis Problem 4. Solve Laplace equation on the curved strip shown in the figure below

Name: Fall 013 Qualifying Exam: Engineering analysis Problem 1. Find general solution of any three of the following four homogeneous differential equations 1.. 3. 4.

Name: Fall 013 Qualifying Exam: Engineering analysis Problem.

Name: Fall 013 Qualifying Exam: Engineering analysis Problem 3. Find the steady-state temperature distribution below subject to the indicated boundary conditions. in the cut-off disk shown

Name: Fall 013 Qualifying Exam: Engineering analysis Problem 4. Find the work done by the force around the curve of intersection of the paraboloid and the cylinder in the displacement

Name Spring 010 Qualifying Exam: Mathematics This portion of the qualifying exam is closed book. YOU MAY NOT USE A PROGRAMMABLE CALCULATOR FOR THIS EXAM. Work 3 of the 4 problems. Be very clear which 3 you want graded (see below). It is not acceptable to work all 4 problems and hope that the graders pick out the best worked three. I want problems #, #, and # graded. Be sure to put your name on all papers handed in, including this cover sheet. 1. Solve the conduction problem u 0 x L ; 0 t xx u t u x 0,t 1 ; u x L,t 0 ; u x,0 0 HINT: To proceed successfully, change from u x,t to x,t and split x,t u x,t x L L v x,t v by superposition into vx,t v1 x,tvx,t v1 v1 ; xx v xx v according to so that t v t L The solution for v x,t can be found as a function of t alone

Name Spring 010 Qualifying Exam: Mathematics. Derive the finite difference approximation to Laplace s equation at node P in terms of the neighboring nodes and the boundary shown. Develop the nodal equation starting with the appropriate Taylor series expansions. What is the accuracy of your form? + =0 N y W P b u = c, a constant along boundary x a

Name Spring 010 Qualifying Exam: Mathematics 3. Obtain the general solution of the following system of ODE s + = 3 =+6 4. From the eigenvectors of the given 4 4 matrix obtain an orthogonal basis for. 4 0 0 0 0 0 0

Name Spring 009 Qualifying Exam: Mathematics This portion of the qualifying exam is closed book. YOU MAY NOT USE A CALCULATOR FOR THIS EXAM. Work 3 of the 4 problems. Be very clear which 3 you want graded (see below). It is not acceptable to work all 4 problems and hope that the graders pick out the best worked three. I want problems #, #, and # graded. Be sure to put your name on all papers handed in, including this cover sheet. 1. Does the system of linear equations 1 3 have an exact solution? If your answer to the question is yes, find the exact solution. If your answer is no, find an approximate solution which has the least square error. Give details of your solution procedure.. Can an Euler Cauchy differential equation (essentially an ODE with variable coefficients) be reduced to an ODE with constant coefficients by means of a suitable substitution? Take the second order Euler Cauchy ODE below: 0 (1) (where & are constants) and clearly demonstrate that this equation can be reduced (or not reduced) to the following general ODE with constant coefficients: using the substitution: 0 () (3) If this works, express the values of the constants and in terms of the original constants: &.

Name Spring 009 Qualifying Exam: Mathematics 3. Solve the following 1 D diffusion problem. The boundary condition at 0 is u x 0, while u the boundary condition at x L is, where is a positive constant. The initial x condition is, 0 0. There is more than one way to solve this problem. If the hints below are useful, then go ahead and make use of them. If you have a method for solving this problem that does not make use of Hint #, that is fine. Hint #1: There is no steady state solution. Hint #: One solution method involves an assumed solution of the form:, ψ,

Name Spring 009 Qualifying Exam: Mathematics 4. Numerically solve the first order ODE, with initial condition 0 one can use the following 4th order Runge Kutta method: For the step, 0, 1,,, calculate the following intermediate variables, 0.5, 0.5 0.5, 0.5, Then calculate the new y value (i.e., the approximation of the solution at step 1 6 where is the increment of the independent variable at each step. Based on the above described numerical procedure, write your procedure to solve the following 3rd order ODE with initial conditions 3 0 with initial conditions 0 0 0 In your solution procedure, use a top bar to indicate an array or vector. For example, means that the variable is an array or vector.

Name Fall 008 Qualifying Exam: Mathematics This portion of the qualifying exam is closed book. You may have a calculator. Work 3 of the 4 problems. Be very clear which 3 you want graded (see below). It is not acceptable to work all 4 problems and hope that the graders pick out the best worked three. I want problems #, #, and # graded. Be sure to put your name on all papers handed in, including this cover sheet. 1. Solve the following ODE: 3 cos / sin ln with the condition: 0 Note:. Solve Poisson s equation on the -D square region shown below. All boundary conditions are 0. is a positive constant. You may use symmetry if it makes the problem easier for you.

Name Fall 008 Qualifying Exam: Mathematics 3. For a given matrix 0 1 0 1 1 1 0 1 0 Find a matrix B which can diagonalize matrix A through similarity transformation; Determine the resulting diagonal matrix. Let I be the identity matrix of the same dimension as A. No matter whether A is singular or not, (A+cI) must be nonsingular as long as the constant c is larger than a number. What is the relation between this number and the eigenvalues of A? 4. Write a self-contained algorithm or procedure which can numerically solve the following set of ordinary differential equations d x dx dy d y dy dt dt dt dt dt d x dx dy dt dt dt with the following known initial conditions x d y dx dt dt x0 x0, y y 0 0 0, t t dt t0 x 0 y 0 dx dy, y dt Note: as a numerical procedure, your solution should be presented as x ( tk ) x( t k 1)... and y ( tk ) y( t k 1)... where t k ( k 1,,3, ) is the k th time step. Any numerical integration scheme may be used in your solution as long as it is correctly presented. t0 0

Name Spring 008 Qualifying Exam: Mathematics This portion of the qualifying exam is closed book. You may have a simple 4-function (+, -, *, /) calculator no programmable calculators. Work 3 of the 4 problems. Be very clear which 3 you want graded (see below). It is not acceptable to work all 4 problems and hope that the graders pick out the best worked three. I want problems #, #, and # graded. Be sure to put your name on all papers handed in, including this cover sheet. 1. Solve the following ordinary differential equation 4 8 8 with:. Given: where and 0 1 0 31 0 3 T T k( T ) k( T ) f ( x, y); 0 x 1; 0 y x x y y k( T) ko k1t ko, k1 constants T (0, y) 0 T ( x,0) 0 T (1, y) 0 x T ( x,) 0 y Set up the appropriate equations for solving the above system for T using finite differences. Outline the solution procedure.

Name Spring 008 Qualifying Exam: Mathematics 3. (Note: closed-book exam, NO CALCULATORS are allowed) For a given matrix 1 A 1 0 1 0 1 1 1 a. Find a matrix B which can diagonalize matrix A through a similarity transformation. b. Determine the resulting diagonal matrix. c. Let I be the identity matrix of the same dimension as A. If A is singular, then the matrix (A+cI) must be nonsingular as long as the constant c satisfies certain conditions. What are these conditions? 4. Solve Laplace s equation on the -D square region shown below. The boundary conditions are all of the type u = c. 0 y u = u 1 u = u 4 W u = u x u = u 3

Name Summer 007 Qualifying Exam: Mathematics This portion of the qualifying exam is closed book. You may have a calculator. Work 3 of the 4 problems. Be very clear which 3 you want graded (see below). It is not acceptable to work all 4 problems and hope that the graders pick out the best worked three. I want problems #, #, and # graded. Be sure to put your name on all papers handed in, including this cover sheet. 1. The following PDE and boundary conditions describe the 1-D transient heat transfer for a fin of constant cross-section and length L. The fin is simultaneously being heated by a uniform heat flux and cooled by convection. All parameters ( α, m, T, Ti, Tb, k, h, q, P, Ac) are constant. Determine the temperature T = T(,) x t. 1 α t T T = m T T x ( ) qp + ka T T( x,0) = Ti T(0, t) = Tb k = h T( L, t) T x c x= L. Determine if the following ODE is exact or not: [ exp(x) cos(y) + yx] dx + [x / exp(x) sin(y)] dy = 0 If it is exact, solve it for the case where x(π) = 1. If it is not exact, state how you would then try to solve it.

Name Summer 007 Qualifying Exam: Mathematics 3. (Note: closed-book exam, calculators with an eigenvalue solver are not allowed) 1 A = 4 7 5 8 3 6 9 a. Find the rank of the matrix. b. If one of the eigenvalues of the matrix is known to be -1.1168, what are the other eigenvalues? c. Find a vector or vectors which span the null space of the matrix. Hint: The problem may be solved without explicitly solving the characteristic equation. You have to show your solution procedure in detail. 4. Given: where T T k( x) + k( x) x x y = 0; 0 x 1; 0 y k 0, 0 x 0.5 k( x) = k 0, k1 constants k1, 0.5 x 1 and T (0, y ) = 5 T ( x,0) = 10 k () 1 (1, y ) = h ( 00 T (1, y )) T y T x ( x,) = 0 ; h constant Set up the appropriate equations for solving the above system for T using finite differences. Outline the solution procedure.

Name Spring 007 Qualifying Exam: Mathematics This portion of the qualifying exam is closed book. You may have a calculator. Work 3 of the 4 problems. Be very clear which 3 you want graded (see below). It is not acceptable to work all 4 problems and hope that the graders pick out the best worked three. I want problems #, #, and # graded. Be sure to put your name on all papers handed in, including this cover sheet. 1. Solve the following ODE by the method of Laplace Transforms. Derivatives are with respect to time and δ(t) is the Delta or Impulse function. y y + y = t δ(t 1) with y(0) = y (0) = 0. The following PDE and boundary conditions describe the 1-D transient heat transfer for a fin of constant cross-section and length, L. All parameters ( α, m, T, Ti, Tb, k, h) are constant. Determine the temperature, T = T(,) x t. 1 α t T T = m T T x ( ) T T( x,0) = Ti T(0, t) = Tb k = h T( L, t) T x x= L

Name Spring 007 Qualifying Exam: Mathematics 3. Given: where and T T k( T ) + k( T ) = 0; 0 x 1; 0 y x x y y k ( T) = k0 + k1t; k0, k1 constants T (0, y) = 5 T ( x,0) = 10 T k x T ( x,) = 0 y ( T (1, y) ) (1, y) = h ( 00 T (1, y) ) ; h constant Set up the appropriate equations for solving the above system for T using finite differences. Outline the solution procedure. 4. Given the nonsingular matrix 5 A = 1 4 a). (75%) Find a transformation matrix X which diagonalizes the A matrix and also find the resulting diagonal matrix. b). (5%) If B = A 7 = AAAAAAA, find a transformation matrix Y which diagonalizes the B matrix? Hint: no need to repeat the procedure for solving problem a).

Name Fall 006 Qualifying Exam: Mathematics This portion of the qualifying exam is closed book. You may have a calculator. Work 3 of the 4 problems. Be very clear which 3 you want graded (see below). It is not acceptable to work all 4 problems and hope that the graders pick out the best worked three. I want problems #, #, and # graded. Be sure to put your name on all papers handed in, including this cover sheet. 1. Given: (do parts a and b) 1 A = 0 1 1 1 0 1 ; 1 1 b 1 = 5 ; b 6 1 = 5 a. Evaluate whether Ax=b 1 has a unique solution, many solutions, or no solution. Solve for x if Ax=b 1 has either a unique solution or many solutions. b. Evaluate whether Ax=b has a unique solution, many solutions, or no solution. Solve for x if Ax=b has either a unique solution or many solutions. Show all work.

Name Fall 006 Qualifying Exam: Mathematics. Finite Differences (do parts a and b). a. Given: T t T = α ; 0 t; 0 x 5 x b. Given: with the following conditions on Τ(x,t) : T ( x,0) = T (0, t) = 0; T (5, t) = h( T x f ( x); T (5, t)) Use finite differences to develop the matrix equations to approximate the solution of the above problem, for each time step, using an implicit method. Show all work. T T T + + = g( x, y); 0 x 1; 0 y ; 0 z x y z with the following conditions on Τ(x,y,z) : T(0, y, z) = f ( y, z); T(1, y, z) = 0; T T ( x,0, z) = 0; ( x,, z) = 0; y y T( x, y,0) = 0; T( x, y,) = 0 Set up the finite difference equations to approximate the solution of the above problem. Explain how the resulting finite difference equations should be solved.

Name Fall 006 Qualifying Exam: Mathematics 3. The following equation describes linearized subsonic D compressible flow. β φ xx + φyy = 0 Here β = M 1 where M is the free stream Mach number, a constant. Apply separation of variables to solve for φ( x, y) given the following conditions: lim φ = 0 y x Here hland, V are constants. 4. Solve the following ODE h φy(,0) x = π V l sin π x l with 4 4 0 1 Show all work.

Name Fall 005 Qualifying Exam: Mathematics This portion of the qualifying exam is closed book. You may have a calculator. Work 3 of the 5 problems. Be very clear which 3 you want graded (see below). It is not acceptable to work all 4 problems and hope that the graders pick out the best worked three. I want problems #, #, and # graded. Be sure to put your name on all papers handed in, including this cover sheet. 1. Given: with the data y = a + bsin x + csin x x, radians y 1 6.3-0. 3 0. 4 3.4 Set up the normal equations to find the values for a, b, and c that result in a least-squares fit of the equation to the data. Solve the resulting equations for a, b, and c. Show all work. You may use a calculator only for simple arithmetic calculations.. Given: 4 A = 0 4 0 0 1 Find the eigenvalues and eigenvectors of A. Show all work. You may use a calculator only for simple arithmetic calculations. 3. Solve the following ordinary differential equation: with the condition: y = 0 when x = π sin (y x) dx + [cos(y x) sin(y x)] dy = 0

Name Fall 005 Qualifying Exam: Mathematics 4. A redundantly driven mechanical system can be modeled as an underdetermined linear system where A is an m n matrix and m < n Ax = b Since such a system of linear equations can have infinitely many solutions of x, an optimal solution can be obtained based on a specific application need. A commonly considered optimal solution is the one that x has a minimum Euclidean norm. Show that the minimumnorm solution to the given linear system is x = A ( AA where the super script T and -1 represent the transpose and inversion of the matrix, respectively. Also indicate the rank condition of A under which such a solution exists. T T ) 1 b

Name Fall 005 Qualifying Exam: Mathematics 5. A rectangular metal bar is used to carry very large electrical currents. The bar has a cross-sectional dimensions W x H and is very long. The bar is initially at a uniform temperature of T i. At time t = 0 a large current is allowed to flow through the bar resulting in a uniform volumetric energy generation The bottom of the bar rest on insulating material while the remaining three sides are subjected to natural convection cooling. Since the bar is very long all heat transfer may be treated as two dimensional. The first-law formulation for the problem yields the following PDE: The thermal diffusivity α, and thermal conductivity κ may be treated as constants. The boundary conditions are as follows (refer to figure): The heat transfer coefficient h, and ambient temperature T, may also be treated as constants. Develop a solution by what ever means you choose. You may not have sufficient time to work out all the details, but be clear on your method.

NAME: Spring 005 Qualifying Examination Subject: Mathematics This portion of the qualifying exam is closed book. You are not allowed to use a calculator for the Mathematics Examination. Work 3 of the 4 problems. Be very clear which 3 you want graded (see below). It is not acceptable to work all 4 problems and hope that the graders pick out the best worked three. I want problems #, #, and # graded. Be sure to put your name on all papers handed in, including this cover sheet. -------------------------------------------------------------------------------------------------------------------- Problem 1: Solve the following partial differential equation by the method of Separation of Variables and obtain a general solution for a separation constant of zero. 3 U U U + = 0 3 U = U(x,y) x x x y -------------------------------------------------------------------------------------------------------------------- Problem : Given: 6 10 6 1 Ax = b; A = 0 8 1 ; b = 0 0 0 1 Find: a. The eigenvalues and eigenvectors of A. b. A -1 c. x Show all work. Perform all operations by hand (do not use a calculator). -------------------------------------------------------------------------------------------------------------------- Problem 3: Determine which, if any, of the following differential equations are exact. Solve any that are exact, subject to the given boundary conditions: 4 dx + x 1 dy = 0 with y(1) = 8 cos πx cos πy dx = sin πx sin πy dy with y(3/) = ½ sin ωy dx + ω cos ωy dy = 0 with y(0) = π/ω --------------------------------------------------------------------------------------------------------------------

NAME: Spring 005 Problem 4: Given: T t T = k( T ) ; x x 0 x 1; 0 < t with and k( T ) = 5 + 0. 05T T ( x,0) = 5 T (0, t) = 5 T (1, t) = x ( 00 T (1, t) ) Set up the appropriate equations for solving the above system using finite differences. Outline the solution procedure.

NAME: Fall 004 Qualifying Examination Subject: Mathematics This portion of the qualifying exam is closed book. You are not allowed to use a calculator for the Mathematics Examination. Work 3 of the 4 problems. Be very clear which 3 you want graded (see below). It is not acceptable to work all 4 problems and hope that the graders pick out the best worked three. I want problems #, #, and # graded. Be sure to put your name on all papers handed in, including this cover sheet. -------------------------------------------------------------------------------------------------------------------- Problem 1: Assume the following system of linear equations has more equations than unknowns Ax = b where A is an m n matrix and m > n Such a system may have a unique solution, many solutions or no solutions depending on matrix A and vector b. (1) Find the least-square approximation of x from the system. () State the condition on A under which the least-square approximation exists? (3) Under what condition does the system have a unique solution? No proofs are needed for your answer to () and (3). -------------------------------------------------------------------------------------------------------------------- Problem : Consider the wave equation y( x, t) y( x, t) = c t x in which c is a constant. Put this equation in a finite difference form with all terms of second order accuracy so that the resulting finite difference equations can be solved implicitly. Do not attempt to solve the resulting finite difference equations. -------------------------------------------------------------------------------------------------------------------- Problem 3: Find the general analytical solution of the following ordinary differential equation: π π ( x e ) y + 7( x e ) y 7y = 0 then find the specific solution with the boundary conditions: π π π y( e ) = e and y( 0) = e -------------------------------------------------------------------------------------------------------------------- Problem 4: Find the exact analytical solution for the following partial differential equation: u u t + = xt t x with the following conditions: u x, 0 = u 0, t = ( ) ( ) 0

NAME: Fall 003 Qualifying Examination Subject: Mathematics This portion of the qualifying exam is closed book. You may have a calculator. Work 3 of the 4 problems. Be very clear which 3 you want graded (see below). It is not acceptable to work all 4 problems and hope that the graders pick out the best worked three. I want problems #, #, and # graded. Be sure to put your name on all papers handed in, including this cover sheet. ------------------------------------------------------------------------------------------- Problem 1: Solve the following partial differential equation set by the method of Laplace Transforms: u u u(x,0) = 1 + x = x x t u(0,t) = 1 ----------------------------------------------------------------------------------------------------------- Problem : Expand the function: f ( x) = cos x in a half-range Fourier Cosine Expansion on the interval 0 to π. ----------------------------------------------------------------------------------------------------------- Problem 3: Find the eigenvalues and eigenvectors for the matrix A below. Express the eigenvectors so that they have a magnitude of one. Show all your work. ----------------------------------------------------------------------------------------------------------- Problem 4: u u Consider the parabolic equation = y x subject to the following boundary condition u(0, y) At x = 0: u ( 0, y) + = 1. Develop a nodal equation at x = 0 for the finite difference x formulation of this PDE. You may choose either the explicit or implicit formulation. Your j resulting nodal equation should be of order ( x) accuracy. Please use u 0 for the value of u at x = j 0 and the jth y value. u 1 is the value of u at x = x.

Qualifying Exam Spring 003 Mathematics This portion of the qualifying exam is closed book. You may have a calculator. Work all three problems. Problem 1: Find the general solution of the following second order ordinary differential equation: y dy + + y = sin dx dx d x Problem : Solve the following PDE which corresponds to a rod that is insulated along the lateral surface, whose left end is insulated, and its right end is exposed to convective heat transfer. u 1 u = x k t u (0, t) = 0 x u κ (a, t) = x u(x,0) = T o 0 < x < a, 0 < t h[u(a, t) 0 < x < a T ] 0 < t 1 0 < t Problem 3: 3 Given the function f ( t) = t, -1 t +1 a) Sketch the function over two periods. b) Find the Fourier Series representation of f(t). c) What is the value of f(t) given by the series at t = ±1? What is the mean value of the function over the period?

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