3. Let W be a subspace of R" of dimension k < n. Use the Fundamental Theorem of Linear Algebra to prove that W is equivalent to the null space of some matrix. Note that this implies that W is an intersection of hyperplanes in R" that also intersect the origin. Hint: You may assume the existence of a basis for a given finite dimensional subspace. For example, if V is a subspace of Rm of dimension d, then there erists vectors {v;}1 in V such that they form a basis for V.
3. Let W be a subspace of R" of dimension k < n. Use the Fundamental Theorem of Linear Algebra to prove that W is equivalent to the null space of some matrix. Note that this implies that W is an intersection of hyperplanes in R" that also intersect the origin. Hint: You may assume the existence of a basis for a given finite dimensional subspace. For example, if V is a subspace of Rm of dimension d, then there erists vectors {v;}1 in V such that they form a basis for V.
Elementary Linear Algebra (MindTap Course List)
8th Edition
ISBN:9781305658004
Author:Ron Larson
Publisher:Ron Larson
Chapter5: Inner Product Spaces
Section5.2: Inner Product Spaces
Problem 101E: Consider the vectors u=(6,2,4) and v=(1,2,0) from Example 10. Without using Theorem 5.9, show that...
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please provide complete handwritten solution for Q 3
![2. Let u e R™ and v e Rn be two non-zero vectors, in other words at least one component of the
vectors is non-zero. Let A = uv' E R™Xn.
(a) Suppose ||u||, = 1 and ||v|l2 = 1. Show that the Frobenius norm of A is equal to 1.
(b) Consider the case where m = 3 and n = 2, i.e.,
-E) --(:)
u =
U2
v =
V2
To help simplify your work in the following subproblems you may assume ui 70 and vi # 0.
i. Derive a basis for the range of A using Gaussian elimination. What is the rank of A?
ii. Derive a basis for the null space of A using Gaussian elimination.
(c) Now consider the general case where m and n are any positive integers.
To help simplify your work in the following subproblems you may assume u1 # 0 and vi 7 0.
i. Generalize your work from b.i to derive a basis for the range of A. What is the rank of A?
ii. Generalize your work from b.ii to derive a basis for the null space of A.
3. Let W be a subspace of R" of dimension k < n. Use the Fundamental Theorem of Linear
Algebra to prove that W is equivalent to the null space of some matrix. Note that this implies that W
is an intersection of hyperplanes in R" that also intersect the origin.
Hint: You may assume the existence of a basis for a given finite dimensional subspace. For example,
if V is a subspace of Rm of dimension d, then there exists vectors {v;}-1 in V such that they form a
basis for V.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F53407bc7-7f82-4aeb-be2b-09429e968753%2Ffaf3942a-66b5-45f7-8c06-968d1a431146%2F1fjowg_processed.jpeg&w=3840&q=75)
Transcribed Image Text:2. Let u e R™ and v e Rn be two non-zero vectors, in other words at least one component of the
vectors is non-zero. Let A = uv' E R™Xn.
(a) Suppose ||u||, = 1 and ||v|l2 = 1. Show that the Frobenius norm of A is equal to 1.
(b) Consider the case where m = 3 and n = 2, i.e.,
-E) --(:)
u =
U2
v =
V2
To help simplify your work in the following subproblems you may assume ui 70 and vi # 0.
i. Derive a basis for the range of A using Gaussian elimination. What is the rank of A?
ii. Derive a basis for the null space of A using Gaussian elimination.
(c) Now consider the general case where m and n are any positive integers.
To help simplify your work in the following subproblems you may assume u1 # 0 and vi 7 0.
i. Generalize your work from b.i to derive a basis for the range of A. What is the rank of A?
ii. Generalize your work from b.ii to derive a basis for the null space of A.
3. Let W be a subspace of R" of dimension k < n. Use the Fundamental Theorem of Linear
Algebra to prove that W is equivalent to the null space of some matrix. Note that this implies that W
is an intersection of hyperplanes in R" that also intersect the origin.
Hint: You may assume the existence of a basis for a given finite dimensional subspace. For example,
if V is a subspace of Rm of dimension d, then there exists vectors {v;}-1 in V such that they form a
basis for V.
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