Partial Differential Equations: Analytical and Numerical Methods

| 1. | Let Compute, by hand, the eigenvalues and eigenvectors of A, and use them to solve Ax = b for x (use the "spectral method"). |
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| 2. | Repeat Exercise 1 for |
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| 3. | Repeat Exercise 1 for ![]() |
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| 4. | Repeat Exercise 1 for ![]() |
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| 5. | Let A ? R n n be symmetric, and suppose the eigenvalues and (orthonormal) eigenvectors of A are already known. How many arithmetic operations are required to solve Ax = b using the spectral method? |
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| 6. | A symmetric matrix A ? R n n is called positive definite if Use the spectral theorem to show that A is positive definite if and only if all of the eigenvalues of A are positive. |
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| 7. | Let L be the n n matrix defined by the condition that ![]() where h = 1/( n + 1). For example, with n = 5, ![]()
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