Non-Markovian Optimal Prediction

Details Non-Markovian Optimal Prediction Non-Markovian Optimal Prediction

2001-01-03

arxiv.org/abs/math/0101022v1

Mathematics

Numerical Analysis

17 pages, includes 1 figure

Scientific paper

Optimal prediction methods compensate for a lack of resolution in the numerical solution of complex problems through the use of prior statistical information. We know from previous work that in the presence of strong underresolution a good approximation needs a non-Markovian "memory", determined by an equation for the "orthogonal", i.e., unresolved, dynamics. We present a simple approximation of the orthogonal dynamics, which involves an ansatz and a Monte-Carlo evaluation of autocorrelations. The analysis provides a new understanding of the fluctuation-dissipation formulas of statistical physics. An example is given.

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