Conformal Field Theory

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Related lectures (55)

Eigenstate Thermalization Hypothesis Log in to Mediaspace to watch this video

Explores the Eigenstate Thermalization Hypothesis in quantum systems, emphasizing the random matrix theory and the behavior of observables in thermal equilibrium.

Elementary Matrices: Operations and Equivalence Log in to Mediaspace to watch this video

Explores elementary matrices, operations, equivalence, and echelons in matrices.

Linear Algebra: Normal Equations and Symmetric Matrices Log in to Mediaspace to watch this video

Explores normal equations, pseudo-solutions, unique solutions, and symmetric matrices in linear algebra.

Link-Based Ranking: HITS Log in to Mediaspace to watch this video

Covers the HITS algorithm, computing hubs and authorities, convergence, and sample results.

Feature Engineering: Missing Data and Standardization Log in to Mediaspace to watch this video

Covers techniques for handling missing data and standardizing features, as well as transforming input and output data.

Eigenvalues and Eigenvectors Log in to Mediaspace to watch this video

Covers eigenvalues and eigenvectors of a matrix, including the characteristic equation and polynomial.

Spectral Theorem: Eigenvalues and Eigenvectors Log in to Mediaspace to watch this video

Covers the spectral theorem, eigenvalues, eigenvectors, and their importance in linear algebra.

Small Signal Stability in Power Systems Log in to Mediaspace to watch this video

Explores small signal stability in power systems and the impact of excitation control.

Spectral Theorem: Min-Max Criterion Log in to Mediaspace to watch this video

Explores the Spectral Theorem, emphasizing the Min-Max Criterion for symmetric matrices and the properties of positive definite matrices.

Characteristic Polynomial: Eigenvalues and VAPs Log in to Mediaspace to watch this video

Explains the characteristic polynomial, eigenvalues, and VAPs of matrices.

Advanced analysis II Log in to Mediaspace to watch this video

Delves into eigenvectors, eigenvalues, extrema conditions, and saddle points in functions.

Diagonalization of Symmetric Matrices Log in to Mediaspace to watch this video

Explores the diagonalization of symmetric matrices and the importance of Singular Value Decomposition.

Linear Applications and Eigenvalues Log in to Mediaspace to watch this video

Covers linear applications, eigenvalues, eigenvectors, and geometric interpretations of square matrices.

Diagonalization of Matrices: Theory and Examples Log in to Mediaspace to watch this video

Covers the theory and examples of diagonalizing matrices, focusing on eigenvalues, eigenvectors, and linear independence.

Diagonalization of Symmetric Matrices Log in to Mediaspace to watch this video

Covers the diagonalization of symmetric matrices and the spectral theorem.

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