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Martingale-induced local invariance in progressive quenching
Charles Moslonka1, Ken Sekimoto1,2
1Laboratoire Gulliver, UMR CNRS 7083, ESPCI Paris, Université PSL 10 rue Vauquelin, 75005 Paris, France.
Progressive quenching (PQ) reveals a local invariance in magnetization dynamics. This stochastic process maintains a canonical structure, offering new insights into system memory and probability distributions.
Area of Science:
- Statistical Mechanics
- Complex Systems
- Computational Physics
Background:
- Progressive quenching (PQ) is a stochastic process involving sequential fixing of degrees of freedom in globally coupled Ising spin systems.
- Previous work established that the mean equilibrium spin value during PQ follows a martingale process, characterizing system memory.
Purpose of the Study:
- To investigate the implications of the martingale property in PQ on the dynamics of quenched magnetization.
- To explore the evolution of probability distributions under PQ and its connection to canonical statistical mechanics.
Main Methods:
- Analysis of the martingale process associated with the total quenched magnetization in PQ.
- Derivation of local invariance from the martingale property.
- Comparison of PQ with a novel process termed 'recycled quenching'.
Main Results:
- The martingale property in PQ implies a local invariance of the path weight for total quenched magnetization.
- PQ allows the probability distribution of total quenched magnetization to evolve while preserving a constrained canonical structure (path-independent potential and path-counting entropy).
- When PQ starts from equilibrium, its distributions match the limit distributions of recycled quenching.
Conclusions:
- The local invariance is a direct consequence of the martingale property in PQ, independent of other martingale theorems.
- PQ provides a framework for understanding how stochastic processes can maintain aspects of canonical equilibrium during non-equilibrium evolution.
- Recycled quenching offers a complementary perspective on the probability distributions generated by PQ.
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