Proves quantitative Einstein relation with explicit quenched algebraic rate for reversible diffusions in random environments.
Callen and Theodore A
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A kernel-based data-driven optimization method computes optimal perturbations to control the spectrum of transfer operators in high-dimensional dynamical systems.
Derives exact expressions for vacuum electromagnetic field correlations between linearly and circularly moving points in frequency space, including self-correlations and finite-temperature effects, with small-parameter approximations.
citing papers explorer
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Quantitative Einstein relation for reversible diffusions in a random environment
Proves quantitative Einstein relation with explicit quenched algebraic rate for reversible diffusions in random environments.
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Data-driven methods for computation of optimal linear response in high-dimensional dynamical systems
A kernel-based data-driven optimization method computes optimal perturbations to control the spectrum of transfer operators in high-dimensional dynamical systems.
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Vacuum electromagnetic field correlations between two moving points
Derives exact expressions for vacuum electromagnetic field correlations between linearly and circularly moving points in frequency space, including self-correlations and finite-temperature effects, with small-parameter approximations.