From the list below, select all TRUE statements. (But do not select any false statements!) If matrix B is a row echelon form of matrix A, then the pivot rows of B form a basis for the row space of A. If His a subspace of a finite-dimensional vector space V, then dim(H) ≤ dim(V). If in a vector space V there exists a set of vectors {V1, V2, V3, V4, V5} that spans V, the Vis 5-dimensional.

Elementary Linear Algebra (MindTap Course List)
8th Edition
ISBN:9781305658004
Author:Ron Larson
Publisher:Ron Larson
Chapter4: Vector Spaces
Section4.6: Rank Of A Matrix And Systems Of Linear Equations
Problem 67E: Let A be an mn matrix where mn whose rank is r. a What is the largest value r can be? b How many...
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31) This is linear algebra ! write neatly, answer only. Show your work!
From the list below, select all TRUE statements. (But do not select any false
statements!)
If matrix B is a row echelon form of matrix A, then the pivot rows of B form a
basis for the row space of A.
If His a subspace of a finite-dimensional vector space V, then
dim (H) ≤ dim(V).
If in a vector space V there exists a set of vectors {V1, V2, V3, V4, V5} that
spans V, the Vis 5-dimensional.
Transcribed Image Text:From the list below, select all TRUE statements. (But do not select any false statements!) If matrix B is a row echelon form of matrix A, then the pivot rows of B form a basis for the row space of A. If His a subspace of a finite-dimensional vector space V, then dim (H) ≤ dim(V). If in a vector space V there exists a set of vectors {V1, V2, V3, V4, V5} that spans V, the Vis 5-dimensional.
For an n x n matrix A, if A has exactly n eigenvalues counting multiplicities,
then A is diagonalizable.
If matrix B is a row echelon form of matrix A, then the pivot columns of B form a
basis for the column space of A.
If a finite set of vectors S spans a vector space V, then some subset of Sis a
basis of V.
A linearly independent set of vectors in a subspace His a basis for H.
For an n x n matrix A, if R" has a basis consisting of eigenvectors of A, then
Transcribed Image Text:For an n x n matrix A, if A has exactly n eigenvalues counting multiplicities, then A is diagonalizable. If matrix B is a row echelon form of matrix A, then the pivot columns of B form a basis for the column space of A. If a finite set of vectors S spans a vector space V, then some subset of Sis a basis of V. A linearly independent set of vectors in a subspace His a basis for H. For an n x n matrix A, if R" has a basis consisting of eigenvectors of A, then
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