Stochastic Theory of Coarse-Grained Deterministic Systems: Martingales and Markov Approximations
Many works have been devoted to show that Thermodynamics and Statistical Physics can be rigorously deduced from an exact underlying classical Hamiltonian dynamics, and to resolve the related paradoxes. In particular, the concept of equilibrium state and the derivation of Master Equations should resu...
Guardado en:
| Autores principales: | , |
|---|---|
| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2021
|
| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/75310 |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares: Stochastic Theory of Coarse-Grained Deterministic Systems: Martingales and Markov Approximations
- Discrete Deterministic and Stochastic Dynamical Systems with Delay - Applications
- Long-Term Behavior of Coarse-Grained Rockfill Material and Their Constitutive Modeling
- Stochastic and Deterministic Methods of Computing Graded Bedload Transport
- Theory of Control Stochastic Systems with Unsolved Derivatives
- Data-driven Coarse-grained Modeling of Non-equilibrium Systems
- The Impact of Stochastic and Deterministic Sounds on Visual, Tactile and Proprioceptive Modalities