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Vector Spaces and Linear Transformations → Applications to Markov Chains and Dynamical Systems
A comprehensive advanced learning path covering the theory of eigenvalues, eigenvectors, and diagonalization, including the spectral theorem and applications to systems of differential equations and linear transformations. Designed for university students in mathematics and applied sciences.
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13 steps · 3 stages. Click any step to inspect it and see it on the Path Map.
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