5. Consider the matrix 2-1 A = -1 2. -1 -1 2 Taking A to be a 10 by 10 matrix, try the following: (a) What information does Gerschgorin's theorem give you about the eigenvalues of this matrix? (b) Implement the power method to compute an approximation to the eigenvalue of largest absolute value and its corresponding eigenvector. [Note: Use a random initial vector. If you choose something special, like the vector of all 1s, it may turn out to be orthogonal to the eigenvector you are looking for.] Turn in a listing of your code together with the eigenvalue/eigenvector pair that you computed. Once you have a good approximate eigenvalue, look at the error in previous approximations and comment on the rate of convergence of the power method.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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Please answer in MATLAB. Once you have a good approximate eigenvalue, look at the error in previous approximations and comment on the rate of convergence of the power method.

5. Consider the matrix
2-1
A =
-1 2.
-1
-1 2
Taking A to be a 10 by 10 matrix, try the following:
(a) What information does Gerschgorin's theorem give you about the
eigenvalues of this matrix?
(b) Implement the power method to compute an approximation to the
eigenvalue of largest absolute value and its corresponding eigenvector.
[Note: Use a random initial vector. If you choose something special,
like the vector of all 1s, it may turn out to be orthogonal to the
eigenvector you are looking for.] Turn in a listing of your code
together with the eigenvalue/eigenvector pair that you computed.
Once you have a good approximate eigenvalue, look at the error in
previous approximations and comment on the rate of convergence of
the power method.
Transcribed Image Text:5. Consider the matrix 2-1 A = -1 2. -1 -1 2 Taking A to be a 10 by 10 matrix, try the following: (a) What information does Gerschgorin's theorem give you about the eigenvalues of this matrix? (b) Implement the power method to compute an approximation to the eigenvalue of largest absolute value and its corresponding eigenvector. [Note: Use a random initial vector. If you choose something special, like the vector of all 1s, it may turn out to be orthogonal to the eigenvector you are looking for.] Turn in a listing of your code together with the eigenvalue/eigenvector pair that you computed. Once you have a good approximate eigenvalue, look at the error in previous approximations and comment on the rate of convergence of the power method.
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