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Related lectures (10)
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Linear Algebra: Matrix Representation of Linear Applications
Explores matrix representation of linear applications, emphasizing eigenvalues and bases.
Orthogonal Diagonalization
Explores orthogonal diagonalization of symmetric matrices using orthonormal bases and the Gram-Schmidt method.
Homogeneous Linear Second-Order Differential Equations
Covers the solution of homogeneous linear second-order differential equations with constant coefficients and explores various cases of real and complex roots.
Characteristic Polynomial: Selections and Equations
Discusses characteristic polynomials, real roots selections, and tick equations.
Untitled
Diagonalisation of Symmetric Matrix by Orthogonal Matrix
Covers the method of diagonalizing a symmetric matrix using an orthogonal matrix.
Eigenvalues and Eigenvectors
Covers eigenvalues and eigenvectors of a matrix, including the characteristic equation and polynomial.
Eigenvalues and Matrix Equations: A Comprehensive Analysis
Examines conditions for the existence of invertible matrices satisfying specific matrix equations involving eigenvalues.
Polynomials: Legendre and Gauss
Explores Legendre polynomials properties and their use in numerical integration.
Real Vector Spaces: Structure and Endomorphisms
Covers the structure of real vector spaces and endomorphisms.
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