The paper develops quantitative estimates for holomorphic sections over bounded domains.
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This paper develops a Carleman type estimate for immersed surface in Euclidean space at infinity. With this estimate, we obtain an unique continuation property for harmonic functions on immersed surfaces vanishing at infinity, which leads to rigidity results in geometry.
Study finds solutions to inequality decay to zero on warped cylinders.
In this article we introduce an approach for studying the geodesic X-ray transform and related geometric inverse problems by using Carleman estimates. The main result states that on compact negatively curved manifolds (resp. nonpositively curved simple or Anosov manifolds), the geodesic vector field satisfies a Carlema…
The study sharpens local Bernstein estimates for Laplace eigenfunctions on compact manifolds.
In the paper arXiv:1411.4887 [math.AP] it is shown that the set of Riemannian metrics which do not admit global limiting Carleman weights is open and dense, by studying the conformally invariant Weyl and Cotton tensors. In the paper arXiv:1011.2507 [math.DG] it is shown that the set of Riemannian metrics which do not a…
In this article we consider the anisotropic Calderon problem and related inverse problems. The approach is based on limiting Carleman weights, introduced in Kenig-Sjoestrand-Uhlmann (Ann. of Math. 2007) in the Euclidean case. We characterize those Riemannian manifolds which admit limiting Carleman weights, and give a c…
Research proves unique continuation for Einstein-vacuum equations on aAdS spacetimes.
Let be a (local) Denjoy-Carleman class of Beurling or Roumieu type, where the weight sequence is log-convex and has moderate growth. We prove that the groups , , ${\operatorname{Diff}}{\mathcal{S}}{}_…
The paper proves new inequalities on the unit ball in higher dimensions.
New uncertainty principle for Schrödinger equations on hyperbolic manifolds.
Let be an open Riemann surface. In this paper we prove that every continuous function , , defined on a divergent Jordan arc can be approximated in the Carleman sense by conformal minimal immersions; thus providing a new generalization of Carleman's theor…
Quantifies polynomial approximation rates for smooth functions under various distributions.
New method forecasts stock option prices accurately.
We prove that any compact Cauchy horizon with constant non-zero surface gravity in a smooth vacuum spacetime is a smooth Killing horizon. The novelty here is that the Killing vector field is shown to exist on both sides of the horizon. This generalises classical results by Moncrief and Isenberg, by dropping the assumpt…
For a complex Lie group with a real form , we prove that any Hamiltionian automorphism of a coadjoint orbit of whose connected components are simply connected, may be approximated by holomorphic -invariant symplectic automorphism of the corresponding coadjoint or…
In this note we prove that a generic Riemannian manifold of dimension does not admit any nontrivial local conformal diffeomorphisms. This is a conformal analog of a result of Sunada concerning local isometries, and makes precise the principle that generic manifolds in high dimensions do not have conformal symm…
Researchers transform equations and define integral operators on a ball.
Paper reveals how minimal surfaces' volumes can deduce their Riemannian structure.
We prove that smooth asymptotically flat solutions to the Einstein vacuum equations which are assumed to be periodic in time, are in fact stationary in a neighborhood of infinity. Our result applies under physically relevant regularity assumptions purely at the level of the initial data. In particular, our work removes…
We give a simple proof of weak Unique Continuation Property for perturbed Dirac operators, using the Carleman inequality. We apply the result to a class of perturbations of the Seiberg-Witten monopole equations that arise in Floer theory.
The paper develops theory for holomorphic null curves in SL2(C).
We establish Carleman inequalities for the weighted laplacian associated to an expanding gradient Ricci soliton. As a consequence, a unique continuation at infinity is proved for asymptotically Ricci flat Ricci expanders. The obstruction at infinity is a symmetric 2-tensor defined on the link of the corresponding asymp…
We prove uniqueness results for a Calderon type inverse problem for the Hodge Laplacian acting on graded forms on certain manifolds in three dimensions. In particular, we show that partial measurements of the relative-to-absolute or absolute-to-relative boundary value maps uniquely determine a zeroth order potential. T…
The paper extends spectral estimates to hyperbolic surfaces with hyperbolic ends.
We give a simple, direct proof of the backward uniqueness of solutions to a class of second-order geometric evolution equations including the Ricci and cross-curvature flows. The proof, based on a classical argument of Agmon-Nirenberg, uses the logarithmic convexity of a certain energy quantity in the place of Carleman…
We consider Calderon's inverse problem with partial data in dimensions . If the inaccessible part of the boundary satisfies a (conformal) flatness condition in one direction, we show that this problem reduces to the invertibility of a broken geodesic ray transform. In Euclidean space, sets satisfying the flat…
We prove the exponential law (bornological isomorphism) for the following classes of test functions: (globally bounded derivatives), (globally -integrable derivatives), (Schwartz space), …
A systematic geometric theory for the ultradifferentiable (non-quasianalytic and quasianalytic) wavefront set similar to the well-known theory in the classic smooth and analytic setting is developed. In particular an analogue of Bony's Theorem and the invariance of the ultradifferentiable wavefront set under diffeomorp…
In view of A. Andreotti and H. Grauert's vanishing theorem for q-complete domains in C^n, (Théorème de finitude pour la cohomologie des espaces complexes, Bull. Soc. Math. France 90 (1962), 193--259,) we re-prove a vanishing result by J.-P. Sha, (p-convex Riemannian manifolds, Invent. Math. 83 (1986), no. 3, 437--447,)…
In this note we show that on any compact subdomain of a Kähler manifold that admits sufficiently many global holomorphic functions, the products of harmonic functions form a complete set. This gives a positive answer to the linearized anisotropic Calderón problem on a class of complex manifolds that includes compact su…
The strong unique continuation property for Einstein metrics can be concluded from the well-known fact that Einstein metrics are analytic in geodesic normal coordinates. Here we give a proof of the same result that given two Einstein metrics with the same Ricci curvature on a fixed manifold, if they agree to infinite o…
Empower efficient representation of distributions through moment-preserving methods.
By an influential theorem of Boman, a function on an open set in is smooth () if and only if it is arc-smooth, i.e., is smooth for every smooth curve . In this paper we investigate the validity of this result on closed sets. Our main focus is on s…
New estimators outperform maximum likelihood without hyper-parameter estimation.
New estimator reduces kernel mean estimation error.
Dual Bayesian Affine Estimators for Wiener-type state-space models
Enhances gradient estimates for Hermitian Monge-Ampère equations.
Paper proposes robust estimators for GANs under Wasserstein contamination.
New framework converts offline to online estimation using black-box offline estimators.
Proposes variational autoencoder for efficient MMSE estimation.
Paper improves Fisher information estimation methods.
Proposes a robust estimator for RD designs.
SCOPE estimator improves covariance and precision matrix estimation.
We present a multi-task learning approach to jointly estimate the means of multiple independent data sets. The proposed multi-task averaging (MTA) algorithm results in a convex combination of the single-task maximum likelihood estimates. We derive the optimal minimum risk estimator and the minimax estimator, and show t…
We derive an unbiased estimator for expectations over discrete random variables based on sampling without replacement, which reduces variance as it avoids duplicate samples. We show that our estimator can be derived as the Rao-Blackwellization of three different estimators. Combining our estimator with REINFORCE, we ob…
Obtaining more accurate equity value estimates is the starting point for stock selection, value-based indexing in a noisy market, and beating benchmark indices through tactical style rotation. Unfortunately, discounted cash flow, method of comparables, and fundamental analysis typically yield discrepant valuation estim…
The maximum mean discrepancy (MMD) is a kernel-based distance between probability distributions useful in many applications (Gretton et al. 2012), bearing a simple estimator with pleasing computational and statistical properties. Being able to efficiently estimate the variance of this estimator is very helpful to vario…