Chapter 3: Q39E (page 164)
If are two bases of , then there exists a linear transformation T from such that .
Short Answer
The above statement is true.
If are two bases of , then there exists a linear transformation T from such that .
Chapter 3: Q39E (page 164)
If are two bases of , then there exists a linear transformation T from such that .
The above statement is true.
If are two bases of , then there exists a linear transformation T from such that .
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inR3.
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.
In Exercises 1 through 20, find the redundant column vectors of the given matrix A “by inspection.” Then find a basis of the image of A and a basis of the kernel of A.
17.
How many cubics can you fit through nine distinct points?. Describe all possible scenarios, and give an example in each case.
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.
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