What Are Matrix Eigenvalues?
Eigenvalues are special numbers associated with a matrix that provide insights into its properties. They are critical in applications ranging from stability analysis in engineering to quantum mechanics.
In simple terms, if you consider a matrix A and a vector v, and you discover that multiplying A by v results in a vector that is a scalar multiple of v, then that scalar is called an eigenvalue of the matrix A.
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