Compute A^n by repeated matrix multiplication for 2x2 and 3x3 matrices
Matrix powers are computed by repeated multiplication. A^n means multiply A by itself n times. For diagonalizable matrices, you can use eigenvalues for faster computation, but repeated multiplication works for any square matrix.
Matrix power A^n is just multiplying A by itself n times. A^0 is the identity matrix, A^1 is A itself, A^2 is A×A, and so on. This is used in Markov chains, recurrence relations, and many other applications.
Any matrix to the 0 power is identity matrix I.
A^n = A multiplied n times in sequence.
Only square matrices can be raised to powers.
For diagonal D, D^n just powers each diagonal entry.
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