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Related lectures (22)

Quantum Eigenfunctions

Covers quantum eigenfunctions and the importance of A and B commuting for the same set of eigenfunctions.

Measurement of Observable Eigenvalues

Covers the measurement of observable eigenvalues and the importance of complete orthonormal sets.

Quantum Mechanics: Hilbert Space and Operators

Covers the fundamental concepts of quantum mechanics, focusing on Hilbert spaces and operators.

Quantum Field Theory: Loop Corrections and Counter Terms

Explores loop corrections and counter terms in quantum field theory, showcasing how divergences are handled and predictions are extracted from loop calculations.

Quantum Perturbation Theory

Introduces quantum perturbation theory and its systematic approach to solving perturbed quantum systems.

Linear Systems: Convergence and Methods

Explores linear systems, convergence, and solving methods with a focus on CPU time and memory requirements.

Central Potentials in Quantum Physics

Explores central potentials in quantum physics, focusing on commutation relations and diagonalization processes.

Numerical Methods: Runge-Kutta Approximation

Covers the Runge-Kutta method for approximating solutions of differential equations.

Discrete-Time Markov Chains: Absorbing Chains Examples

Explores examples of absorbing chains in discrete-time Markov chains, focusing on transition probabilities.

Separation of Variables

Explores the concept of separation of variables in quantum mechanics and its application in solving differential equations.

Goldstone Bosons: Higgs Mechanism

Explores Goldstone bosons and the Higgs mechanism, revealing how spontaneous symmetry breaking generates mass for gauge bosons.

Bethe Free Entropy

Covers the computation of Bethe free entropy and the interpretation of messages between variables and factors.

Effective Field Theory: Testing Weak Interactions

Explores effective field theory for testing weak interactions and parity violation through forward-backward asymmetry.

Stochastic Processes: Definitions and Examples

Covers stochastic processes in continuous time, including probability functions and stock processes.

Renormalization and Beta Function

Explores renormalization, beta function implications, and perturbation theory in quantum field theory.

Stochastic Models for Communications: Continuous-Time Stochastic Processes - Stationarity

Explores the concept of stationarity in continuous-time stochastic processes and its implications.

Quantum Chemistry: Fundamentals of Quantum Mechanics

Covers the fundamentals of quantum mechanics and the behavior of particles at the quantum level.

Spectral Expansion: Eisenstein Series

Covers the spectral expansion of Eisenstein series and the properties of hyperbolic surfaces.

Quantum Field Theory: Fermions and Grassmann Numbers

Explores quantum field theory, focusing on fermions and Grassmann numbers in the path integral formalism.

Stochastic Models: Absorbing Markov Chains Examples

Covers examples of absorbing Markov chains in discrete time.

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