eek 12: Part 1: This exercise will ask you to explore the equality Null(AT) = (Col(A))+. Pick a vector u in Rª and a vector v such that u and v are orthogonal; then find a vector w which is orthogonal to both u and v. Finally, find a vector z which is orthogonal to u, v, w. For the last two steps, you should realize that you are solving a system of linear equations, and if write them down that the system is represented by AT where the columns of A are the vectors you are trying to be orthogonal to. Now, verify with computations that the set {u, v, w, z} is linearly independent. If any of the vectors u, v, w, z are scalars of the standard basis [u v w z] and compute without you vectors e1, €2, e3, e4 then start over. Set the matrix P calculations the vectors P-lu, P-lv, P¯lw, and P-lz.
eek 12: Part 1: This exercise will ask you to explore the equality Null(AT) = (Col(A))+. Pick a vector u in Rª and a vector v such that u and v are orthogonal; then find a vector w which is orthogonal to both u and v. Finally, find a vector z which is orthogonal to u, v, w. For the last two steps, you should realize that you are solving a system of linear equations, and if write them down that the system is represented by AT where the columns of A are the vectors you are trying to be orthogonal to. Now, verify with computations that the set {u, v, w, z} is linearly independent. If any of the vectors u, v, w, z are scalars of the standard basis [u v w z] and compute without you vectors e1, €2, e3, e4 then start over. Set the matrix P calculations the vectors P-lu, P-lv, P¯lw, and P-lz.
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter2: Systems Of Linear Equations
Section2.4: Applications
Problem 17EQ
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