Consider the matrix A and the vector b. A = 2 1 3 2 -1 1 b = a) Are the columns of the matrix A linearly independent? Are the columns of the matrix A orthogonal? b) Compute the rank of the matrix A. c) Compute the null space of the matrix A and of the matrix AT.

Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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Consider the matrix A and the vector b.
A =
2
b =
a) Are the columns of the matrix A linearly independent? Are the columns of the matrix A
orthogonal?
b) Compute the rank of the matrix A.
c) Compute the null space of the matrix A and of the matrix AT.
d) Compute the solution(s) of the set of linear equations Ax = b. If no solution exists, explain
why and compute the least-squares solution.
e) Compute an orthonormal basis of the column space of the matrix A (e.g. using the Gramm-
Schmidt procedure).
Transcribed Image Text:Consider the matrix A and the vector b. A = 2 b = a) Are the columns of the matrix A linearly independent? Are the columns of the matrix A orthogonal? b) Compute the rank of the matrix A. c) Compute the null space of the matrix A and of the matrix AT. d) Compute the solution(s) of the set of linear equations Ax = b. If no solution exists, explain why and compute the least-squares solution. e) Compute an orthonormal basis of the column space of the matrix A (e.g. using the Gramm- Schmidt procedure).
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