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Material Type: Assignment; Class: Numerical Linear Algebra; Subject: Mathematics; University: Illinois Institute of Technology; Term: Fall 2006;
Typology: Assignments
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etA^ =
k=
Ak^ tk k!
Use randn and expm to deal with normally distributed random numbers and matrix exponentials, respectively.
(i) z is an eigenvalue of A + δA for some δA with ‖δA‖ 2 ≤ ε; (ii) There exists a vector u ∈ Cm^ with ‖(A − zI)u‖ 2 ≤ ε and ‖u‖ 2 = 1; (iii) σm(zI − A) ≤ ε; (iv) ‖(zI − A)−^1 ‖ 2 ≥ ε−^1.
The matrix (zI − A)−^1 in (iv) is known as the resolvent of A at z; if z is an eigenvalue of A, we use the convention ‖(zI − A)−^1 ‖ 2 = ∞. In (iii), σm denotes the smallest singular value of A.
(a) Using an SVD algorithm built into MATLAB together with MATLAB’s contour com- mand, generate a plot of the boundaries of the 2-norm ε-pseudospectra of A for ε = 10 −^1 , 10 −^2 ,... , 10 −^8. (b) Produce a semilogy plot of ‖etA‖ 2 against t for 0 ≤ t ≤ 50. What is the initial growth rate of the curve before the eventual decay sets in? Can you relate this to your plot of pseudospectra? (Compare to the previous problem.)