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This problem set covers various topics in linear algebra, including hermitian matrices, eigenvalues, matrix computations, differential equations, and stability analysis. It includes problems on calculating eigenvalues and eigenvectors, finding matrix exponentials, sketching trajectories, and analyzing the stability of differential equations.
Typology: Exercises
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(modified on April 27, 2009)
Due by Friday, May 1, 2009, by NOON
1. An n × n complex matrix A is called Hermitian if A = A∗, where A∗^ is the conjugate transpose of A. That is, aij = aji for all 1 ≤ i, j ≤ n. When A is real A∗^ = AT^ and the terms “Hermitian” and ”symmetric” mean the same thing. If �u = (u 1 ,... , un) and �v = (v 1 ,... , vn) are column vectors in Rn, then �u�v∗^ = u 1 v¯ 1 + · · ·+ unv¯n and �u�^2 = uu∗.
If A = A∗^ show that all eienvalues of A are real. Furthermore, if A = A∗^ then eigenvectors �u and �v corresponding to different eigenvalues λ and μ are orthogonal. That is, �u�v∗^ = 0.
2. If A and B are n × n matrices, compute At Bt Bt At lim
e e − e e . t → (^0) t^2
3. (a) Let A be a 3 × 3 matrix with eigenvalues λ 1 , λ 2 , λ 3. Show that the nonzero columns of (A − λ 2 I)(A − λ 3 I) are eigenvectors for λ 1.
(b) A 3 × 3 matrix A has characteristic polynomial p(λ) = λ(λ^2 − 1). Find eAt^.
4. (a) For x�^ = 6x + y, y�^ = 4x + 3y show that the origin is an unstable node.
(b) If y = mx is a trajectory, show that m = 1 or m = − 4.
(c) Sketch the trajectories in the (x, y)-plane.
5. Repeat Problem 4 for x�^ = − 3 x + 2y, y�^ = − 3 x + 4y. 6. Consider the differential equation u��^ + p(t)u�^ + q(t)u = 0, where p(t), q(t) are continuous func tions on some interval of t.
(a) Let u(t) = r(t) sin θ(t), u�(t) = r(t) cos θ(t).
Show that
dθ/dt = cos^2 θ + p(t) cos θ sin θ + q(t) sin^2 θ, (1/r)dr/dt = −p(t) cos^2 θ + (1 − q(t)) cos θ sin θ.
(b) Using part (a) discuss that if q(t) > p^2 (t)/ 4 then solutions are oscillatory and if q(t) < 0 then solutions are nonoscillatory.
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