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48 results for Riesz potential

Embeds LCK manifolds with potential into Hopf manifolds using Riesz-Schauder theorem.

problem Embedding LCK manifolds with potential into Hopf manifolds.
method Functional-analytic proof based on Riesz-Schauder theorem and Montel theorem; alternative argument for complex surfaces.
result Embeds LCK manifolds with potential into Hopf manifolds for dimensions at least 3.

Study centers of convex polyhedrons that are independent of parameters.

problem Characterize centers of convex polyhedrons that are independent of parameters.
method Investigate centers defined by Riesz potential and Poisson's integral, providing necessary and sufficient conditions for independence.
result Necessary and sufficient condition for existence of centers independent of parameters.

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 ↗

Study on minimal energy problems for Riesz kernels on manifolds.

problem Minimal energy problems for strongly singular Riesz kernels on manifolds.
method Formulation of natural regularization using Hadamard's partie finie integral operator and analysis of measures with finite energy in Sobolev space.
result The minimal energy problem admits a unique solution and is related to discrete minimal energy problems.

In this paper we study the problem of deriving further Sobolev inequalities from a given Sobolev inequality. We use several different methods, including Bessel potentials and Riesz transforms. We apply the results to the Ricci flow to extend the author's results on the W1,2W^{1,2} Sobolev inequality along the Ricci flow …

2007-09-04abs ↗pdf ↗

Study on smooth solutions of a nonlinear sigma model with gravitino fields.

problem Analyzing smooth solutions of a modified nonlinear sigma model.
method Geometric setup, Euler-Lagrange equations, Rivière's regularity theory, Riesz potential theory.
result Smoothness of weak solutions proven using advanced mathematical theories.

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 ↗

We generalize the Riesz potential of a compact domain in Rm\mathbb{R}^{m} by introducing a renormalization of the rαmr^{α-m}-potential for α0α\le0. This can be considered as generalization of the dual mixed volumes of convex bodies as introduced by Lutwak. We then study the points where the extreme values of the (renorm…

2010-08-16abs ↗pdf ↗

Uniform boundedness of Riesz transforms on Riemannian manifolds is established with a dichotomy.

problem Establishing uniform boundedness of Riesz transforms on Riemannian manifolds.
method Constructing a complete Riemannian manifold MM to demonstrate the dichotomy.
result A dichotomy concerning uniform boundedness of Riesz transforms on Riemannian manifolds.

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.

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.

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 ↗

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.

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.

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 ↗

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 ↗

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.

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.

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.

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.

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 ↗

We give new estimates for a critical elliptic system introduced by Rivière-Struwe in \cite{riviere_struwe} (see also the work of Rupflin \cite{rupflin} and Schikorra \cite{schikorra_frames}), which generalises PDE solved by harmonic (and almost harmonic) maps from a Euclidean ball $B_1 \In \R^n$ into Riemannian manifol…

2011-12-06abs ↗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.

Researchers study Riesz transforms on complex groups, proving boundedness results.

problem Analyzing Riesz transforms on solvable extensions of stratified groups.
method Proving boundedness of Riesz transforms using large-time bounds for heat kernel derivatives.
result Weak type (1,1) and LpL^p-boundedness for p(1,2]p \in (1,2], and H1oL1H^1 o L^1 boundedness of Riesz transforms.

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.

Improved AutoDML estimator for causal inference using outcome-adapted shared covariate representation.

problem Efficiency in estimating treatment or policy effects in causal inference.
method Outcome-adapted AutoDML estimator that uses a shared covariate representation that is predictive of the outcome but not the Riesz representer.
result Outcome-adapted AutoDML estimator is asymptotically more efficient than baseline AutoDML.

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 ↗