Chapter 3: Q29E (page 143)
Find a basis of the subspace of defined by the equation
Short Answer
The basis of the subspace V of defined by the equation is .
Chapter 3: Q29E (page 143)
Find a basis of the subspace of defined by the equation
The basis of the subspace V of defined by the equation is .
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Let A and B be two matrices of the same size, with , both in reduced row-echelon form. Show that. Hint: Focus on the first column in which the two matrices differ, say, the kth columnsandof A and B, respectively. Explain why at least one of the columnsandfails to contain a leading 1. Thus, reversing the roles of matrices A and B if necessary, we can assume thatdoes not contain a leading 1. We can write as a linear combination of preceding columns and use this representation to construct a vector in the kernel of A. Show that this vector fails to be in the kernel of B. Use Exercises 86 and 87 as a guide.
Question: Consider three linearly independent vectorsin . Are the vectorslinearly independent as well? How can you tell?
Consider linearly independent vectors in a subspaceV of and vectors that span V. Show that there is a basis ofV that consists of all the and some of the . Hint: Find a basis of the image of the matrix
In Exercises 21 through 25, find the reduced row-echelon form of the given matrix A. Then find a basis of the image of A and a basis of the kernel of A.
24.
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