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3570105140 · Jun 202019922001200920172026
48 results for Riesz kernels

Let MM be a complete non-compact Riemannian manifold. In this paper, we derive sufficient conditions on metric perturbation for stability of LpL^p-boundedness of the Riesz transform, p(2,)p\in (2,\infty). We also provide counter-examples regarding in-stability for LpL^p-boundedness of Riesz transform.

2018-08-06abs ↗pdf ↗

One considers the class of complete non-compact Riemannian manifolds whose heat kernel satisfies Gaussian estimates from above and below. One shows that the Riesz transform is LpL^p bounded on such a manifold, for pp ranging in an open interval above 2, if and only if the gradient of the heat kernel satisfies a certai…

2004-11-17abs ↗pdf ↗

In this paper we prove mixed norm estimates for Riesz transforms related to Laplace--Beltrami operators on compact Riemannian symmetric spaces of rank one. These operators are closely related to the Riesz transforms for Jacobi polynomials expansions. The key point is to obtain sharp estimates for the kernel of the Jaco…

2013-08-29abs ↗pdf ↗

The paper proves boundedness of a Riesz transform on weighted manifolds.

problem Establishing \(L^p\)-boundedness of the covariant Riesz transform on differential forms.
method Heat-kernel criterion, volume doubling, heat kernel estimates, curvature control, gradient bounds.
result The covariant Riesz transform is \(L^p\)-bounded for \(p>2\) on weighted Riemannian manifolds.

The goal of this article is twofold: in a first part, we prove Gaussian estimates for the heat kernel of Schr{ö}dinger operators delta + V whose potential V is "small at infinity" in an integral sense. In a second part, we prove sharp boundedness result for the associated Riesz transform with potential d(delta+V) --1/2…

2015-03-02abs ↗pdf ↗

Kernel balancing weights are generalized as KRRR, providing better confidence intervals for treatment effects.

problem Lack of generalization error, correct feature specification, and limited to average effects.
method Interpreting kernel balancing weights as KRRR, relaxing feature specification, and extending Gaussian approximation.
result KRRR provides strong generalization properties and justifies confidence sets for causal functions.

Unified framework for estimating density ratios in causal inference.

problem Estimating density ratios for causal inference is challenging due to instability and curse of dimensionality.
method Bregman-Riesz regression unifies three methods: Bregman divergences, probabilistic classification, and Riesz loss.
result Unified framework improves density ratio estimation in causal inference.

Unified framework for debiased machine learning using Riesz representer and Bregman divergence.

problem Estimating causal and structural parameters in machine learning.
method Generalized Riesz regression for fitting Riesz representer via Bregman divergence minimization.
result Automatic covariate balancing and Neyman orthogonality properties for debiased estimation.

We study minimal energy problems for strongly singular Riesz kernels on a manifold. Based on the spatial energy of harmonic double layer potentials, we are motivated to formulate the natural regularization of such problems by switching to Hadamard's partie finie integral operator which defines a strongly elliptic pseud…

2016-02-27abs ↗pdf ↗

In this paper, we show the equivalence between the boundedness of the Riesz transform dΔ1/2dΔ^{-1/2} on LpL^p, p(2,p0)p\in (2,p_0), and the equality Hp=LpH^p=L^p, p(2,p0)p\in(2,p_0), in the class of manifold whose measure is doubling and for which the scaled Poincaré inequalities hold. Here, HpH^p is a Hardy space of exact 11-forms, …

2013-08-27abs ↗pdf ↗

Let (M,g)(M^\circ, g) be an asymptotically conic manifold, in the sense that MM^\circ compactifies to a manifold with boundary MM in such a way that gg becomes a scattering metric on MM. A special case of particular interest is that of asymptotically Euclidean manifolds, where M=Sn1\partial M = S^{n-1} and the induced me…

2007-03-12abs ↗pdf ↗

Estimates for covariant derivatives and Riesz transforms on differential forms.

problem Bounding covariant derivatives and Riesz transforms on differential forms.
method Use Bismut derivative formula to prove heat kernel bounds and Riesz transform boundedness.
result Formulate and prove conjecture on boundedness of covariant local Riesz-transforms in L^p.

Let MM be a smooth Riemannian manifold which is the union of a compact part and a finite number of Euclidean ends, $\RR^n \setminus B(0,R)$ for some R>0R > 0, each of which carries the standard metric. Our main result is that the Riesz transform on MM is bounded from Lp(M)Lp(M;TM)L^p(M) \to L^p(M; T^*M) for 1<p<n1 < p < n and unbou…

2004-11-30abs ↗pdf ↗

Using hyperbolic form convolution with doubly isometry-invariant kernels, the explicit expression of the inverse of the de Rham laplacian acting on m-forms in the Poincaré space is found. Also, by means of some estimates for hyperbolic singular integrals, we obtain L^p-estimates for the Riesz transforms passing from th…

2004-11-25abs ↗pdf ↗

Riesz regression connects to density ratio estimation for causal inference.

problem Estimating average treatment effects in causal inference.
method Riesz regression as a signed density ratio and least-squares importance fitting.
result Riesz regression and DRE are equivalent, allowing transfer of DRE results.

Let G=NAG = N \rtimes A, where NN is a stratified group and A=RA = \mathbb{R} acts on NN via automorphic dilations. Homogeneous sub-Laplacians on NN and AA can be lifted to left-invariant operators on GG and their sum is a sub-Laplacian ΔΔ on GG. Here we prove weak type (1,1)(1,1), LpL^p-boundedness for p(1,2]p \in (1,2]

2018-04-11abs ↗pdf ↗

The object of our investigation is a point that gives the maximum value of a potential with a strictly decreasing radially symmetric kernel. It defines a center of a body in Rm. When we choose the Riesz kernel or the Poisson kernel as the kernel, such centers are called a radial center or an illuminating center, respec…

2016-03-09abs ↗pdf ↗

Let (X,d,μ)(X,d,μ) be a RCD(K,N)RCD^\ast(K, N) space with KRK\in \mathbb{R} and N[1,]N\in [1,\infty]. For N[1,)N\in [1,\infty), we derive the upper and lower bounds of the heat kernel on (X,d,μ)(X,d,μ) by applying the parabolic Harnack inequality and the comparison principle, and then sharp bounds for its gradient, which are also sharp in t…

2014-07-20abs ↗pdf ↗

Develops a direct debiased machine learning framework using Bregman divergence.

problem Reduces bias in machine learning estimates of causal effects or structural models.
method Neyman targeted estimation and generalized Riesz regression using Bregman divergence.
result Improves estimation of parameters of interest in causal models.

Let (X,d,μ)(X,d,μ) be a doubling metric measure space endowed with a Dirichlet form $\E$ deriving from a "carré du champ". Assume that $(X,d,μ,\E)$ supports a scale-invariant L2L^2-Poincaré inequality. In this article, we study the following properties of harmonic functions, heat kernels and Riesz transforms for $p\in (2,\i…

2017-03-06abs ↗pdf ↗

Gradient boosting estimates Riesz representer for causal inference.

problem Estimating causal quantities using traditional methods is challenging and prone to variance issues.
method Gradient boosting algorithm to directly estimate Riesz representer.
result Gradient boosting performs similarly or better than traditional methods in estimating causal quantities.

We show a perturbation result for the boundedness of the Riesz transform : if MM and M0M_0 are complete Riemannian manifolds satisfying a Sobolev inequality of dimension nn, which are isometric outside a compact set, and if the Riesz transform on M0M_0 is bounded on LqL^q, then for all $\frac{n}{n-2}, the Riesz trans…

2011-05-30abs ↗pdf ↗

Python package automates causal parameter estimation using Riesz regression.

problem Efficient estimation of causal and structural parameters.
method Automatic DML and generalized Riesz regression framework.
result Automatic construction of balancing link functions for generalized Riesz regression.

We investigate the LpL^p-boundness of the Riesz transform on Riemannian manifolds whose Ricci curvature has quadratic decay. Two criteria for the LpL^p-unboundness of the Riesz transform are given. We recover known results about manifolds that are Euclidean or conical at infinity.

2014-03-25abs ↗pdf ↗

On an asymptotically conic manifold (M,g)(M,g), we analyze the asymptotics of the integral kernel of the resolvent Rq(k):=(Δq+k2)1R_q(k):=(Δ_q+k^2)^{-1} of the Hodge Laplacian ΔqΔ_q on qq-forms as the spectral parameter kk approaches zero, assuming that 0 is not a resonance. The first application we give is an LpL^p Sobolev estimate…

2013-10-17abs ↗pdf ↗

Study LpL^p boundedness of Riesz transform on differential forms for certain manifolds.

problem Investigate LpL^p-boundedness of the covariant Riesz transform on differential forms.
method Analyze LpL^p-boundedness on weighted Riemannian manifolds under curvature-dimension and lower bound conditions.
result Derive Calderón-Zygmund inequality for 1<p21<p\leq2 under curvature-dimension condition.

A reverse Riesz estimate and spectral gap imply a Poincaré inequality.

problem Establishing a Poincaré inequality using a reverse Riesz estimate and spectral gap.
method Combining a reverse Riesz estimate and spectral gap condition to prove a Poincaré inequality.
result A Poincaré inequality is derived from a reverse Riesz estimate and spectral gap condition.

Two approaches to directly estimating Riesz representer are shown to be numerically equivalent under certain conditions.

problem Estimating Riesz representer in semiparametric statistics.
method Two distinct optimization problems solved by automatic debiased machine learning and sieve methods for conditional moment models.
result Numerical equivalence of estimators under specific regularization schemes, but not for others.

The study bounds Riesz transforms on manifolds with controlled curvature.

problem Bounding Riesz transforms on manifolds with controlled curvature.
method Established LpL^p-boundedness of local covariant Riesz transforms for differential forms.
result Calderón-Zygmund estimates for manifolds with bounded Riemannian curvature.

We show that balls, circles and 2-spheres can be identified by generalized Riesz energy among compact submanifolds of the Euclidean space that are either closed or with codimension 0, where the Riesz energy is defined as the double integral of some power of the distance between pairs of points. As a consequence, we obt…

2017-07-08abs ↗pdf ↗

There is an interesting potential theory associated to each degenerate elliptic, fully nonlinear equation f(D2u)=0f(D^2u) = 0. These include all the potential theories attached to calibrated geometries. This paper begins the study of tangents to the subsolutions in these theories, a topic inspired by the results of Kiselman …

2014-08-25abs ↗pdf ↗

We analyze the resolvent R(k)=(P+k2)1R(k)=(P+k^2)^{-1} of Schrödinger operators P=Δ+VP=Δ+V with short range potential VV on asymptotically conic manifolds (M,g)(M,g) (this setting includes asymptotically Euclidean manifolds) near k=0k=0. We make the assumption that the dimension is greater or equal to 3 and that PP has no L2L^2 null …

2007-01-18abs ↗pdf ↗

ScoreMatchingRiesz improves debiased machine learning and policy effects estimation.

problem Improving debiased machine learning and policy effects estimation.
method Score matching and Riesz representer estimation.
result Estimates policy path for continuous treatments, improving interpretability.