Eigenvalues and eigenvectors

Let's imagine an arbitrary real n×n matrix, A. It is very possible that when we apply this matrix to some vector, they are scaled by a constant value. If this is the case, we say that the nonzero -dimensional vector is an eigenvector of A, and it corresponds to an eigenvalue λ. We write this as follows:

Note: The zero vector (0) cannot be an eigenvector of A, since A0 = 0 = λ0 for all λ.

Let's consider again a matrix A that has an eigenvector x and a corresponding eigenvalue λ. Then, the following rules will apply: ...

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