All vectors are in R". Check the true statements below: A. If I is a line through 0 and if ŷ is the orthogonal projection of y onto L, then ||ŷ|| gives the distance from y to L. B. If y is a linear combination of nonzero vectors from an orthogonal set, then the weights in the linear combination can be computed without row operations on a matrix. C. A matrix with orthonormal columns is an orthogonal matrix. OD. If the vectors in an orthogonal set of nonzero vectors are normalized, then some of the new vectors may not be orthogonal. OE. Not every linearly independent set in R" is an orthogonal set.

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter2: Systems Of Linear Equations
Section2.3: Spanning Sets And Linear Independence
Problem 21EQ
icon
Related questions
Question

Please solve it on paper

All vectors are in R".
Check the true statements below:
A. If L is a line through 0 and if ŷ is the orthogonal projection of y onto L, then ||ŷ|| gives the distance from y to L.
B. If y is a linear combination of nonzero vectors from an orthogonal set, then the weights in the linear combination can be
computed without row operations on a matrix.
C. A matrix with orthonormal columns is an orthogonal matrix.
D. If the vectors in an orthogonal set of nonzero vectors are normalized, then some of the new vectors may not be orthogonal.
E. Not every linearly independent set in R" is an orthogonal set.
Transcribed Image Text:All vectors are in R". Check the true statements below: A. If L is a line through 0 and if ŷ is the orthogonal projection of y onto L, then ||ŷ|| gives the distance from y to L. B. If y is a linear combination of nonzero vectors from an orthogonal set, then the weights in the linear combination can be computed without row operations on a matrix. C. A matrix with orthonormal columns is an orthogonal matrix. D. If the vectors in an orthogonal set of nonzero vectors are normalized, then some of the new vectors may not be orthogonal. E. Not every linearly independent set in R" is an orthogonal set.
Expert Solution
steps

Step by step

Solved in 3 steps with 2 images

Blurred answer