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Matrix Diagonalization and Applications to Differential Equations

Linear Algebra Fundamentals → Matrix Exponential and Applications

This advanced learning path guides university students in mathematics and engineering through the theory and applications of matrix diagonalization. Starting from eigenvalues and eigenvectors, it covers diagonalizability, powers of matrices, orthogonal diagonalization, the spectral theorem, and culminates in solving systems of linear differential equations.