Published 1989
| Version v1
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Dynamical phase transitions in spin models and automata
Description
Some of the models and methods developed in the study of the dynamics of spin models and automata are described. Special attention is given to the distance method which consists of comparing the time evolution of two configurations. The method is used to obtain the phase boundary between a frozen and a chaotic phase in the case of deterministic models. For stochastic systems the method is used to obtain dynamical phase transitions
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Additional details
Publishing Information
- Imprint Pagination
- 37 p.
- Report number
- CEA-CONF--10034
Conference
- Title
- Summer School on Statistical Mechanics.
- Dates
- 18-30 Jun 1989.
- Place
- Altenberg (Germany, F.R.).
INIS
- Country of Publication
- France
- Country of Input or Organization
- France
- INIS RN
- 22019946
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- AUTOMATION; DYNAMIC PROGRAMMING; FERROMAGNETISM; HAMILTONIAN FUNCTION; INFORMATION THEORY; KINETIC EQUATIONS; MEAN-FIELD THEORY; NEURAL NETWORKS; RANDOM PHASE APPROXIMATION; RANDOMNESS; SPIN; STATISTICAL MECHANICS; STOCHASTIC PROCESSES; TIME DEPENDENCE
- Descriptors DEC
- ANGULAR MOMENTUM; EQUATIONS; FUNCTIONS; MAGNETISM; MECHANICS; PARTICLE PROPERTIES