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Related lectures (29)
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Diagonalisation: Theorem and Demonstration
Explores diagonalization conditions, bases by eigenvectors, and generalization of concepts.
Algebraic Multiplicity, Geometric Multiplicity
Explores algebraic and geometric multiplicities of eigenvalues in linear algebra.
Symmetric Matrices and Eigenvectors
Covers the concept of symmetric matrices, orthogonal bases, and eigenvectors.
Eigenvalues and Eigenvectors of Markov Chains
Explores eigenvalues and eigenvectors of Markov chains, focusing on convergence rates and matrix properties.
Diagonalization of Matrices: Theory and Examples
Covers the theory and examples of diagonalizing matrices, focusing on eigenvalues, eigenvectors, and linear independence.
Eigenvalues and Eigenvectors
Explores eigenvalues, eigenvectors, and methods for solving linear systems with a focus on rounding errors and preconditioning matrices.
Linear Algebra: Eigenvalues and Eigenvectors
Explores eigenvalues, eigenvectors, diagonalization, and spectral theorem in linear algebra.
Eigenvalues and Eigenvectors: Understanding Matrix Properties
Explores eigenvalues and eigenvectors, demonstrating their importance in linear algebra and their application in solving systems of equations.
Vibratory Mechanics: Pulsation and Eigenvectors
Covers the analysis of a 4th order beam under simple supports.
Eigenvalues and Fibonacci Sequence
Covers eigenvalues, eigenvectors, and the Fibonacci sequence, exploring their mathematical properties and practical applications.