The Markov Memory for Generating Rare Events
arXiv:1610.07685 · doi:10.1103/PhysRevE.95.032101
Abstract
We classify the rare events of structured, memoryful stochastic processes and use this to analyze sequential and parallel generators for these events. Given a stochastic process, we introduce a method to construct a new process whose typical realizations are a given process' rare events. This leads to an expression for the minimum memory required to generate rare events. We then show that the recently discovered classical-quantum ambiguity of simplicity also occurs when comparing the structure of process fluctuations.
10 pages, 5 figures; http://csc.ucdavis.edu/~cmg/compmech/pubs/mmgre.htm
References in corpus (9)
- The large deviation approach to statistical mechanics
- First-order dynamical phase transition in models of glasses: an approach based on ensembles of histories
- Short term fluctuations of wind and solar power systems
- Turbulent-Like Behavior of Seismic Time Series
- Stochastic analysis of different rough surfaces
- Towards Quantifying Complexity with Quantum Mechanics
- The Hidden Fragility of Complex Systems -- Consequences of Change, Changing Consequences
- Permutation approach, high frequency trading and variety of micro patterns in financial time series
- The Ambiguity of Simplicity