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Sample problems for a university-level mathematics exam, covering topics such as vector spaces, linear operators, and eigenvalues. Students are asked to determine if certain subsets of a vector space are vector subspaces, find the matrix of a linear operator relative to a given basis, find bases for the image and null-space of a linear operator, and find eigenvalues and eigenvectors of a matrix. The document also includes a bonus problem involving the fibonacci sequence.
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Problem 1 (20 pts.) Let P 2 be the vector space of all polynomials (with real coefficients) of degree at most 2. Determine which of the following subsets of P 2 are vector subspaces. Briefly explain.
(i) The set S 1 of polynomials p(x) ∈ P 2 such that p(0) = 0. (ii) The set S 2 of polynomials p(x) ∈ P 2 such that p(0) = 0 and p(1) = 0. (iii) The set S 3 of polynomials p(x) ∈ P 2 such that p(0) = 0 or p(1) = 0. (iv) The set S 4 of polynomials p(x) ∈ P 2 such that (p(0))^2 + 2(p(1))^2 + (p(2))^2 = 0.
Problem 2 (20 pts.) Let L be the linear operator on R^2 given by
x y
x y
Find the matrix of the operator L relative to the basis v 1 = (1, 1), v 2 = (1, −1).
Problem 3 (30 pts.) Consider a linear operator f : R^3 → R^3 , f (x) = Ax, where
(i) Find a basis for the image of f. (ii) Find a basis for the null-space of f.
Problem 4 (30 pts.) Let B =
(i) Find all eigenvalues of the matrix B. (ii) For each eigenvalue of B, find an associated eigenvector. (iii) Is there a basis for R^3 consisting of eigenvectors of B?
Bonus Problem 5 (25 pts.) Let f 1 , f 2 , f 3 ,... be the Fibonacci numbers defined by
f 1 = f 2 = 1, fn = fn− 1 + fn− 2 for n ≥ 3. Find lim n→∞
fn+ fn