336 research outputs found

    Gaussian heat kernel upper bounds via Phragm\'en-Lindel\"of theorem

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    We prove that in presence of L2L^2 Gaussian estimates, so-called Davies-Gaffney estimates, on-diagonal upper bounds imply precise off-diagonal Gaussian upper bounds for the kernels of analytic families of operators on metric measure spaces

    Riesz meets Sobolev

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    We show that the LpL^p boundedness, p>2p>2, of the Riesz transform on a complete non-compact Riemannian manifold with upper and lower Gaussian heat kernel estimates is equivalent to a certain form of Sobolev inequality. We also characterize in such terms the heat kernel gradient upper estimate on manifolds with polynomial growth

    Sobolev algebras through heat kernel estimates

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    On a doubling metric measure space (M,d,μ)(M,d,\mu) endowed with a "carr\'e du champ", let L\mathcal{L} be the associated Markov generator and L˙αp(M,L,μ)\dot L^{p}_\alpha(M,\mathcal{L},\mu) the corresponding homogeneous Sobolev space of order 0<α<10<\alpha<1 in LpL^p, 1<p<+∞1<p<+\infty, with norm ∥Lα/2f∥p\left\|\mathcal{L}^{\alpha/2}f\right\|_p. We give sufficient conditions on the heat semigroup (e−tL)t>0(e^{-t\mathcal{L}})_{t>0} for the spaces L˙αp(M,L,μ)∩L∞(M,μ)\dot L^{p}_\alpha(M,\mathcal{L},\mu) \cap L^\infty(M,\mu) to be algebras for the pointwise product. Two approaches are developed, one using paraproducts (relying on extrapolation to prove their boundedness) and a second one through geometrical square functionals (relying on sharp estimates involving oscillations). A chain rule and a paralinearisation result are also given. In comparison with previous results ([29,11]), the main improvements consist in the fact that we neither require any Poincar\'e inequalities nor LpL^p-boundedness of Riesz transforms, but only LpL^p-boundedness of the gradient of the semigroup. As a consequence, in the range p∈(1,2]p\in(1,2], the Sobolev algebra property is shown under Gaussian upper estimates of the heat kernel only.Comment: 62 page

    A new approach to pointwise heat kernel upper bounds on doubling metric measure spaces

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    On doubling metric measure spaces endowed with a strongly local regular Dirichlet form, we show some characterisations of pointwise upper bounds of the heat kernel in terms of global scale-invariant inequalities that correspond respectively to the Nash inequality and to a Gagliardo-Nirenberg type inequality when the volume growth is polynomial. This yields a new proof and a generalisation of the well-known equivalence between classical heat kernel upper bounds and relative Faber-Krahn inequalities or localized Sobolev or Nash inequalities. We are able to treat more general pointwise estimates, where the heat kernel rate of decay is not necessarily governed by the volume growth. A crucial role is played by the finite propagation speed property for the associated wave equation, and our main result holds for an abstract semigroup of operators satisfying the Davies-Gaffney estimates

    Heat kernel generated frames in the setting of Dirichlet spaces

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    Wavelet bases and frames consisting of band limited functions of nearly exponential localization on Rd are a powerful tool in harmonic analysis by making various spaces of functions and distributions more accessible for study and utilization, and providing sparse representation of natural function spaces (e.g. Besov spaces) on Rd. Such frames are also available on the sphere and in more general homogeneous spaces, on the interval and ball. The purpose of this article is to develop band limited well-localized frames in the general setting of Dirichlet spaces with doubling measure and a local scale-invariant Poincar\'e inequality which lead to heat kernels with small time Gaussian bounds and H\"older continuity. As an application of this construction, band limited frames are developed in the context of Lie groups or homogeneous spaces with polynomial volume growth, complete Riemannian manifolds with Ricci curvature bounded from below and satisfying the volume doubling property, and other settings. The new frames are used for decomposition of Besov spaces in this general setting
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