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We introduce and investigate a new sort of stochastic differential inclusions on manifolds, given in terms of mean derivatives of a stochastic process, introduced by Nelson for the needs of the so called stochastic mechanics. This class of stochastic inclusions is ideologically the closest one to ordinary differential inclusions. For inclusions with forward mean derivatives on manifolds we prove some results on the existence of solutions.
We give an overview of the ideas central to some recent developments in the ergodic theory of the stochastically forced Navier Stokes equations and other dissipative stochastic partial differential equations. Since our desire is to make the core ideas clear, we will mostly work with a specific example : the stochastically forced Navier Stokes equations. To further clarify ideas, we will also examine in detail a toy problem. A few general theorems are given. Spatial regularity, ergodicity, exponential...
We show that, if a certain Sobolev inequality holds, then a scale-invariant elliptic
Harnack inequality suffices to imply its a priori stronger parabolic counterpart. Neither
the relative Sobolev inequality nor the elliptic Harnack inequality alone suffices to
imply the parabolic Harnack inequality in question; both are necessary conditions. As an
application, we show the equivalence between parabolic Harnack inequality for on
, (i.e., for ) and elliptic Harnack inequality for on .
We establish optimal uniform upper estimates on heat kernels whose
generators satisfy a logarithmic Sobolev inequality (or entropy-energy
inequality) with the optimal constant of the Euclidean space.
Off-diagonals estimates may also be obtained with however a smaller d
istance involving harmonic functions. In the last part, we apply these
methods to study some heat kernel decays for diffusion operators of
the type Laplacian minus the gradient of a smooth potential with
a given growth at infinity....
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