Tridiagonal matrix

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Related lectures (30)

Advanced Analysis II: Matrix Diagonalization

Covers matrix diagonalization, compact sets, continuity of functions, and the Mandelbrot set.

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Explores the generation of stochastic processes, including Gaussian processes, Markov processes, Poisson processes, and circulant embedding.

Uncertainty Principle

Explores the uncertainty principle in quantum mechanics, covering compatible observables, system states, and mathematical representations of uncertainty.

Jacobi Method: Convergence Conditions

Explores the Jacobi method for linear systems, emphasizing convergence conditions and matrix properties.

Correlation Functions & Spectra

Covers correlation functions, Franck-Condon transitions, Born-Oppenheimer approximation, and spectra.

Eigenvalue Problems: Methods and Applications

Explores eigenvalue problems, iterative methods, convergence properties, and applications in computational physics.

Bose-Hubbard model and density matrix formalism

Covers the Bose-Hubbard model and density matrix formalism.

Wigner-Eckart Theorem

Explores the Wigner-Eckart theorem and its applications in quantum physics.

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Introduces the Jacobi method for solving linear systems and determining convergence.

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Covers matrix elements, operators, paths with conditions, and time evolution in quantum mechanics.

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