CITY UNIVERSITY LONDON. BEng Degree in Computer Systems Engineering Part II BSc Degree in Computer Systems Engineering Part III PART 2 EXAMINATION


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1 No: CITY UNIVERSITY LONDON BEng Degree in Computer Systems Engineering Part II BSc Degree in Computer Systems Engineering Part III PART 2 EXAMINATION ENGINEERING MATHEMATICS 2 (resit) EX2005 Date: August 2004 Time: 3 hours Attempt Five out of EIGHT questions
2 Question 1 (a) Using Venn diagrams (or otherwise) show that: P (A B C) = P (A) + P (B) + P (C) P (A B) P (A C) P (B C) + P (A B C) where A, B and C are any three events in a sample space S. (b) Define what is the conditional probability of an event A given an event B. Show that for two events A and B P (A B) = P (B A)P (A) P (B A)P (A) + P (B A)P (A) which is known as the total probability formula. (c) In answering a question on a multiplechoice test a student either knows the answer or guesses. Let p be the probability that (s)he knows the answer and 1 p the probability that (s)he guesses. Assume that a student who guesses at the answer will be correct with probability 1/m, where m is the number of multiplechoice alternatives. What is the conditional probability that a student knew the answer to a question given that (s)he answered it correctly? Question 2 (a) Explain what is the mean and what is the variance of a continuous random variable X. Suppose that X has a probability density function f X (x) = kx for 0 x 1 and f X (x) = 0 otherwise. Find: (i) The value of k; (ii) the mean of X; (iii) the variance of X, and (iv) the probability that X > 0.5. (b) A discrete random variable X is called Poisson with parameter λ > 0 if its probability mass function is given by: p X (k) = P [X = k] = e λ λ k k! (k = 0, 1, 2,...) (i) Show that p X (k) defined above has the correct properties of a probability mass function. (ii) Show that the mean value of X is E(X) = λ. Hint: The Taylor series expansion of e x is e x = 1 + x + x2 + x = x i 2! 3! i=0. i! Question 3 (a) In a university, a total of 1232 students have taken a course in Spanish, 879 have taken a course in French and 114 have taken a course in Russian. Further, 103 have taken courses in both Spanish and French, 23 have taken courses in both Spanish and Russian, and 14 in both French and Russian. (i) If 2092 students have taken at least one of Spanish, French and Russian, how many students have taken a course in all three languages? 2 of 7
3 (ii) Use a Venn diagram to illustrate all different subsets of students described above. [4 marks] (b) Use a truth table to prove that the following statements are logically equivalent: p (q r) (p q) (p r) Question 4 (a) Let A = {1, 2, 3, 4} be a set and define the relations on A by: R = {(1, 2), (1, 1), (1, 3), (2, 4), (3, 2)} S = {(1, 4), (1, 3), (2, 3), (3, 1), (4, 1)} (i) Define the composite relation S R using the arrow diagram representations of R and S. (ii) Define the matrix representations of S and R and use them to define the composition S R. (b) Let R be the set of real numbers, A = R R and define the relation R on A: (a, b)r(c, d) if and only if a 2 + b 2 = c 2 + d 2 (i) Show that R is an equivalence relation. [4 marks] (ii) Give a geometric interpretation of the elements in each equivalence class and define the set of all equivalence classes A\R. Question 5 (a) Using Laplace transforms (or otherwise) solve the following differential equation: subject to the initial conditions: d 2 y(t) dt dy(t) dt + y(t) = e t y(0) = 1 and dy(0) dt = 1 Check your solution by substituting into the differential equation and by verifying that the initial conditions are satisfied. A table of Laplace transforms is provided at the end of the paper. (b) Show from first principles (i.e. without reference to the table of Laplace transforms) that: L(cos ωt) = 3 of 7 s s 2 + ω 2
4 Indicate clearly the region of convergence of the transform, i.e. the range of values of s for which your result is valid. Hint: Write cos ωt = 1 2 (ejωt + e jωt ) and apply the definition of the transform. (c) Consider the function f(t) = t sin ωt (t 0), f(t) = 0 (t < 0). Show by direct differentiation that f (t) = 2ω cos ωt ω 2 f(t) By using the properties of Laplace transforms of derivatives, show that L(t sin ωt) = 2ωs (s 2 + ω 2 ) 2 In your derivation you will need to use the Laplace transform of the function cos ωt you obtained in part (b). Question 6 (a) On the linear space R[0, 2π] (real valuedfunctions defined on the interval [0, 2π]) define the inner product of two functions f and g as: f, g = 2π 0 f(x)g(x)dx A set S of functions in R[0, 2π] is said to be orthonormal if: (i) f, g = 0 for any two functions f and g in S such that f g, and (ii) f, f = 1 for every function in f in S. Prove that the set of functions: S = { 1 2π, cos x π, } sin x π is orthonormal. [8 marks] (b) Consider the periodic function f(t) with period T = 2π, defined as f(t) = t 2 in the interval π < t π. The Fourier series expansion of f(t) is of the form: f(t) = a a n cos nt + where the a n s and b n s are unspecified coefficients. b n sin nt Show that f(t) is an even function and, as a result, b n = 0 for all n > 0 in the Fourier series expansion of f(t). Calculate the a n s (n 0) in closed form and hence show that: f(t) = π ( 1) n cos(nt) n 2 [2 marks] Hint: You need to integrate by parts (twice). [8 marks] 4 of 7
5 Show that: ( 1) n+1 Hint: Set t = 0 in your Fourier series expansion. n 2 = = π2 12 [2 marks] Question 7 (a) Define the following terms of linearalgebra: A subspace of a vector space V. Direct sum of two subspaces. Linear independence of a list of vectors. Linear span of a list of vectors. Basis of a vector space V. Range and Kernel of a linear transformation. Give simple examples to illustrate your definitions. (b) Show that: (i) The intersection of two subspaces of a vector space V is a subspace of V. (ii) A list of vectors containing two identical vectors is linearly dependent. (c) Let S 2 2 denote the set of 2 2 symmetric matrices with real entries. (A matrix A is called symmetric if A = A T where A T is the transpose of A). For a fixed 2 2 symmetric matrix A define the transformation Π A : S 2 2 S 2 2 which maps 2 2 symmetric matrices X to 2 2 symmetric matrices Y according to the rule Y = AXA T. Show that Π A is a linear transformation. If ( A = ) find the Range and Kernel of Π A, and hence verify the ranknullity theorem. [8 marks] Question 8 (a) We wish to perform the following three elementary operations on the rows of a 3 3 matrix A: Multiply the first row by 2. Interchange the first and third rows. Add twice the second row to the third row. 5 of 7
6 Write down the three elementary matrices by which A must be premultiplied to perform each operation. If the three operations must be performed in sequence, find the overall transformation matrix and its inverse. (b) The matrix inversion lemma states that for four matrices A, B, C and D of compatible dimensions the following identity holds, provided the indicated inverses exist: (A BD 1 C) 1 = A 1 + A 1 B(D CA 1 B) 1 CA 1 By multiplying the matrix in the righthandside of the above equation by A BD 1 C (either from the left or the right) show that this identity is valid. What are the computational advantages of using this identity when A = I n, B is a column vector and C is a row vector (and hence D is a scalar)? (c) Give sufficient and necessary conditions for the linear system of equations Ax = b, where A R m n and x is the vector of unknowns, to have: (i) At least one solution, and (ii) Exactly one solution. [4 marks] (d) Find all solutions of the system of equations: x y = z 3 Explain clearly why your result is consistent with the conditions you gave in part (c) above. 6 of 7
7 Table of Laplace Transforms f(t) F (s) f(t) F (s) s δ(t) 1 cos ωt s 2 +ω 2 ω 1 1/s sin ωt s 2 +ω 2 t 1/s 2 s cosh at s 2 a 2 t 2 2/s 3 a sinh at s 2 a 2 t n n! e at s a cos ωt s n+1 (s a) 2 +ω 2 e at 1 e at ω sin ωt s a (s a) 2 +ω 2 te at 1 t n 1 e at (n 1)! (s+a) 2 (s+a) n External Examiners: Prof. P.M. Taylor, Prof. M. Cripps Internal Examiner: Dr G. Halikias 7 of 7
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