All vectors and subspaces are in R". Note you only have 5 attempts for this question. Check the true statements below: A. If z is orthogonal to 1 and 2 and if W=span(1, 2), then z must be in W. B. For each y and each subspace W, the vectory - projw(y) is orthogonal to W. C. If y is in a subspace W, then the orthogonal projection of y onto w is y itself. D. If a matrix A is such that AT A then the perpendicular complement of the kernel of A is the image of A. E. The orthogonal projection of y onto a subspace W can sometimes depend on the matrix used to compute. F. If ý = 21 + Z2, where ₁ is in a subspace W and Z2 is in W, then zi must be the orthogonal projection of y onto W. G. The closest vector to y in a subspace W is given by the vector - projw(y). H. The columns of a matrix A are perpendicular to the rows of AT. I. If W is a subspace and if is in both W and W, then must be the zero vector.

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter8: Applications Of Trigonometry
Section8.4: The Dot Product
Problem 45E
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All vectors and subspaces are in R". Note you only have 5 attempts for this question.
Check the true statements below:
A. If z is orthogonal to 1 and 2 and if W=span(1, 2), then Z must be in W.
✔B. For each ý and each subspace W, the vector y projw(y) is orthogonal to W.
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C. If y is in a subspace W, then the orthogonal projection of y onto w is y itself.
D. If a matrix A is such that AT = A then the perpendicular complement of the kernel of A is the image of A.
E. The orthogonal projection of y onto a subspace W can sometimes depend on the matrix used to compute.
F. If ý = Z1 + Z2, where ži is in a subspace W and Z2 is in W, then zi must be the orthogonal projection of y onto W.
G. The closest vector to y in a subspace W is given by the vector y-projw(y).
H. The columns of a matrix A are perpendicular to the rows of AT.
I. If W is a subspace and if is in both W and W, then 7 must be the zero vector.
Transcribed Image Text:All vectors and subspaces are in R". Note you only have 5 attempts for this question. Check the true statements below: A. If z is orthogonal to 1 and 2 and if W=span(1, 2), then Z must be in W. ✔B. For each ý and each subspace W, the vector y projw(y) is orthogonal to W. - C. If y is in a subspace W, then the orthogonal projection of y onto w is y itself. D. If a matrix A is such that AT = A then the perpendicular complement of the kernel of A is the image of A. E. The orthogonal projection of y onto a subspace W can sometimes depend on the matrix used to compute. F. If ý = Z1 + Z2, where ži is in a subspace W and Z2 is in W, then zi must be the orthogonal projection of y onto W. G. The closest vector to y in a subspace W is given by the vector y-projw(y). H. The columns of a matrix A are perpendicular to the rows of AT. I. If W is a subspace and if is in both W and W, then 7 must be the zero vector.
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