Concept

Detailed balance

Related lectures (30)

Stochastic Processes: Time Reversal

Explores time reversal in stationary Markov chains and the concept of detailed balance conditions.

Markov Chains: Reversibility and Irreducibility

Explores reversibility and irreducibility in Markov chains, along with optimal decision-making policies.

Entropy in Thermodynamics

Explores entropy in thermodynamics, including Gibbs equations, ideal gases, and entropy balance in closed systems.

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Energy Balance: Current and Entropy Source

Explores energy balance, current, entropy source, stress tensor, affinity in reactions, and continuity equation in thermodynamics.

Inventory Management

Covers the (s,s)-inventory model, stationary Markov chains, time reversal property, and detailed balance condition.

Effective Dynamics for Stochastic Differential Equations

Explores effective dynamics for non-reversible stochastic differential equations, covering molecular dynamics, bottlenecks, coarse-graining, and free-energy connection.

Statistical Physics: Systems Isolation

Explores statistical physics concepts in isolated systems, focusing on entropy and disorder.

Second Law of Thermodynamics, Maximum Efficiency Theorem

Explores the second law of thermodynamics, reversible transformations, Carnot cycle, and maximum efficiency theorem.

Gibbs Sampling: Simulated Annealing

Covers the concept of Gibbs sampling and its application in simulated annealing.

Continuous-Time Markov Chains: Reversible Chains

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Semiotics: Reversibility

Explores the concept of reversibility in semiotics, analyzing the transition from utopias to dystopias through sign systems.

Pair Correlation Function and Macroscopic Properties

Explores the link between pair correlation function and physical observables, providing insights into particle interactions in liquids.

Chemical Kinetics: Basic Concepts

Covers the basic concepts of chemical kinetics and related theories.

Entropy and Clausius-Kelvin Prohibitions

Discusses entropy, isentropic transformations, and the Clausius-Kelvin prohibitions, as well as the Carnot cycle and the efficiency of machines with two heat sources.

Monte Carlo Simulations

Covers the theory and practical aspects of Monte Carlo simulations in molecular dynamics, including ensemble averages and Metropolis algorithm.

Quantum Mechanics: Stochastic Aspects

Delves into the statistical aspects of quantum mechanics and its relation to stochastic processes, focusing on quantum optics and Markov jump processes.

Modeling Building Energy Systems: Flows and Heat Exchange

Discusses modeling energy systems in buildings, focusing on air flows, heat exchange, and energy optimization strategies.

Inelastic Collisions: Soft Impact

Explores inelastic collisions, particularly soft impacts with momentum conservation but kinetic energy dissipation.