Exam 4: Subspaces
Exam 1: Systems of Linear Equations57 Questions
Exam 2: Euclidean Space48 Questions
Exam 3: Matrices76 Questions
Exam 4: Subspaces60 Questions
Exam 5: Determinants48 Questions
Exam 6: Eigenvalues and Eigenvectors75 Questions
Exam 7: Vector Spaces45 Questions
Exam 8: Orthogonality75 Questions
Exam 9: Linear Transformations60 Questions
Exam 10: Inner Product Spaces45 Questions
Exam 11: Additional Topics and Applications75 Questions
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If B is a basis for a given subspace, and u is in span (B) with
, then
.


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If B is a basis, then
for all scalars
,
and all vectors
,
in span (B).





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Let A be an
matrix, and B an
matrix. Then the null space of B is a subspace of the null space of AB.


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By forming matrix columns, find a basis for the given subspace S and give the dimension of S, where


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If
,
, and
are subspaces of Rn, then their intersection
is also a subspace of Rn.




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By forming matrix rows, find a basis for the given subspace S and give the dimension of S, where


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If B is a basis for a given subspace, and u and v are vectors in span (B) such that
, then
.


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Find the change of basis matrix from the standard basis to B, and then convert x to the coordinate vector with respect to B. 

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The null space of an
matrix A is a subspace of Rn if and only if A is invertible.

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Convert the coordinate vector
from the given basis B to the standard basis.



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