M340L Exam 2 Practice Problems (1) True/False. Please mark a T or F beside each question. No explanation is necessary (although in some cases a short calculation/drawing may be useful!) (a) If A is any matrix then its row space equals its column space. (b) If A and B are both n × n matrices then det(A + B) = det(A) + det(B). (c) If A is a 3 × 3 matrix with det(A) = 0 then the columns of A are linearly dependent. (d) If a 5 × 4 matrix A has rank r = 3 then its null space is one-dimensional. (e) If two matrices are row equivalent, then their null spaces are the same. (f) If a vector space V is 5 dimensional, then every collection of 4 vectors is linearly independent. (2) Suppose A is the matrix 1 0 A= 2 0 3 0 4 2 2 0 3 0 5 3 . 1 1 (a) Calculate det A. (b) What is the rank of 5A? (c) What is the rank of A3 ? (d) Suppose the matrix B is obtained from A by switching row 1 and row 2. What is det B? 1 2 x1 x 2 (3) Suppose H is the subset of R4 consisting of all vectors ~x = satisfying x3 x4 x1 + x2 + x3 + 2x4 = 0, x2 + x3 = 0. (a) H is a subspace of R4 . Briefly describe how we knew that (HINT: think null spaces!). (b) What is the dimension of H? Find a basis. (4) Suppose A is the 4 × 5 matrix given 1 0 A= 2 0 below. 2 1 6 4 0 1 4 1 −1 1 2 1 11 4 −7 1 (a) Find a basis for Col(A). What is the dimension of Col(A)? (b) Find a basis for Row(A). What is the dimension of Row(A)? (c) What is the dimension of N ul(A)? 3 (5) Suppose B = {~b1 , ~b2 , ~b3 } and C = {~c1 , ~c2 , ~c3 } are both bases for a 3 dimensional vector space V . Suppose ~c1 = 2~b1 − ~b2 + ~b3 , ~c2 = 3~b2 + ~b3 , ~c3 = 4~b1 + 2~b3 . (a) Find the change-of-coordinates matrix from C to B. 1 (b) If [~x]C = 2, find [~x]B . 3 (6) Short answer. (a) Suppose V is a vector space with dim V = 3, and suppose {~v1 , ~v2 } are vectors in V . What are the possibilities for the dimension of Span{~v1 , ~v2 , ~v1 + ~v2 }? " (b) Consider the subset H of R2 # x1 given by all vectors ~x = satisfying x1 ≥ 0. Is H x2 a subspace of R2 ? # 0.5 0.25 (c) Find a nonzero steady state vector for the stochastic matrix A = . 0.5 0.75 " (d) Use determinants to find the area of the parallelogram with vertices (−1, 0), (1, 1), (−1, 2), (1, 3). (e) Recall that P3 is the vector space of all polynomials p(t) with real coefficients of degree at most 3. Define a linear transformation T : P3 → R3 by p(0) T (p) = p(1) 0 . Find a basis for the kernel of T .
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