1. If be an Eigen value of a non-singular matria
A show that is an Eigenvalue of Al.
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Thus, a non-singular matrix is also known as a full rank matrix. For a non-square [A] of m × n, where m > n, full rank means only n columns are independent. There are many other ways to describe the rank of a matrix. In linear algebra, it is possible to show that all these are effectively the same.
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