516 research outputs found
Subelliptic Li-Yau estimates on three dimensional model spaces
We describe three elementary models in three dimensional subelliptic geometry
which correspond to the three models of the Riemannian geometry (spheres,
Euclidean spaces and Hyperbolic spaces) which are respectively the SU(2),
Heisenberg and SL(2) groups. On those models, we prove parabolic Li-Yau
inequalities on positive solutions of the heat equation. We use for that the
techniques that we adapt to those elementary model spaces. The
important feature developed here is that although the usual notion of Ricci
curvature is meaningless (or more precisely leads to bounds of the form
for the Ricci curvature), we describe a parameter which plays
the same role as the lower bound on the Ricci curvature, and from which one
deduces the same kind of results as one does in Riemannian geometry, like heat
kernel upper bounds, Sobolev inequalities and diameter estimates
Testing surface area with arbitrary accuracy
Recently, Kothari et al.\ gave an algorithm for testing the surface area of
an arbitrary set . Specifically, they gave a randomized
algorithm such that if 's surface area is less than then the algorithm
will accept with high probability, and if the algorithm accepts with high
probability then there is some perturbation of with surface area at most
. Here, is a dimension-dependent constant which is
strictly larger than 1 if , and grows to as .
We give an improved analysis of Kothari et al.'s algorithm. In doing so, we
replace the constant with for arbitrary. We
also extend the algorithm to more general measures on Riemannian manifolds.Comment: 5 page
Log-Harnack Inequality for Stochastic Differential Equations in Hilbert Spaces and its Consequences
A logarithmic type Harnack inequality is established for the semigroup of
solutions to a stochastic differential equation in Hilbert spaces with
non-additive noise. As applications, the strong Feller property as well as the
entropy-cost inequality for the semigroup are derived with respect to the
corresponding distance (cost function)
Dimension dependent hypercontractivity for Gaussian kernels
We derive sharp, local and dimension dependent hypercontractive bounds on the
Markov kernel of a large class of diffusion semigroups. Unlike the dimension
free ones, they capture refined properties of Markov kernels, such as trace
estimates. They imply classical bounds on the Ornstein-Uhlenbeck semigroup and
a dimensional and refined (transportation) Talagrand inequality when applied to
the Hamilton-Jacobi equation. Hypercontractive bounds on the Ornstein-Uhlenbeck
semigroup driven by a non-diffusive L\'evy semigroup are also investigated.
Curvature-dimension criteria are the main tool in the analysis.Comment: 24 page
String effects and the distribution of the glue in mesons at finite temperature
The distribution of the gluon action density in mesonic systems is
investigated at finite temperature. The simulations are performed in quenched
QCD for two temperatures below the deconfinment phase. Unlike the gluonic
profiles displayed at T=0, the action density iso-surfaces display a
prolate-spheroid like shape. The curved width profile of the flux-tube is found
to be consistent with the prediction of the free Bosonic string model at large
distances.Comment: 14 pages,10 figure
Sharp estimates on the first eigenvalue of the p-Laplacian with negative Ricci lower bound
We complete the picture of sharp eigenvalue estimates for the p-Laplacian on
a compact manifold by providing sharp estimates on the first nonzero eigenvalue
of the nonlinear operator when the Ricci curvature is bounded from
below by a negative constant. We assume that the boundary of the manifold is
convex, and put Neumann boundary conditions on it. The proof is based on a
refined gradient comparison technique and a careful analysis of the underlying
model spaces.Comment: Sign mistake fixed in the proof of the gradient comparison theorem
(theorem 5.1 pag 10), and some minor improvements aroun
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