Functional Large Deviations in Burgers Particle Systems Mikhail Lifshits and Zhan Shi
We consider a one-dimensional system of sticky particles with discrete white noise type initial data, and describe functional large deviations for the state of the system at any given time. For specific functionals such as maximal particle mass, particle speed, rarefaction interval, momentum, energy, etc, our results extend those of Ryan and provide many further examples.
Functional Large Deviations in Burgers Particle Systems Mikhail ...
discrete white noise type initial data, and describe functional large deviations for ... tion interval, momentum, energy, etc, our results extend those of. Ryan and ...
We investigate small deviation properties of Gaussian random fields in the space Lq(RN ,µ) where µ is an arbitrary finite compactly supported Borel measure. Of special interest are hereby âthinâ measures µ, i.e., those which are singular with
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Curse of Dimensionality in Approximation of Random Fields. Mikhail Lifshits and Ekaterina Tulyakova. Consider a random field of tensor product type X(t),t â [0 ...
Large Data with Self-Adjusting Computation. Yan Chen. Max Planck ...... they can be quite complex and difficult to design, analyze, and implement even for ...
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avenues for the importance of marginal transaction costs in accounting for real exchange rate persistence: through (a) generating persistence in individual real exchange rate components, and (b) accentuating it by the aggregation of heterogeneous com
