Diagonalization is the process of transforming a square matrix into a diagonal form, where all the entries outside the main diagonal are zero. This process is important because it simplifies many matrix operations, such as exponentiation and finding eigenvalues. A matrix is diagonalizable if it has enough eigenvectors to form a complete basis, making it easier to analyze and compute various linear transformations.
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