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A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,341 papers · 148 categories

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59119178237 · Jun 202019922001200920182026
48 results for Carleman weights

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…

2008-03-25abs ↗pdf ↗

In this note we prove that a generic Riemannian manifold of dimension 3\geq 3 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…

2010-11-10abs ↗pdf ↗

Let C[M]C^{[M]} be a (local) Denjoy-Carleman class of Beurling or Roumieu type, where the weight sequence M=(Mk)M=(M_k) is log-convex and has moderate growth. We prove that the groups DiffB[M](Rn){\operatorname{Diff}}\mathcal{B}^{[M]}(\mathbb{R}^n), DiffW[M],p(Rn){\operatorname{Diff}}W^{[M],p}(\mathbb{R}^n), ${\operatorname{Diff}}{\mathcal{S}}{}_…

2014-04-28abs ↗pdf ↗

Approximates symplectic automorphisms of coadjoint orbits using Hamiltonian Carleman methods.

problem Approximating symplectic automorphisms of coadjoint orbits.
method Hamiltonian Carleman approximation for coadjoint orbits of complex Lie groups.
result Established the Hamiltonian density property for closed coadjoint orbits of all complex Lie groups.

The paper develops quantitative estimates for holomorphic sections over bounded domains.

problem Establishing precise inequalities for holomorphic sections over bounded domains.
method Develops Sobolev-type inequalities and applies them to holomorphic sections of Hermitian vector bundles.
result Quantitative Carleman-type estimates for holomorphic sections are derived, improving on previous non-quantitative results.

Paper approximates continuous functions on Jordan arcs using conformal minimal immersions.

problem Approximating continuous functions on Jordan arcs using minimal immersions.
method Conformal minimal immersions and directed holomorphic curves.
result Continuous functions on Jordan arcs can be approximated by conformal minimal immersions.

New uncertainty principle for Schrödinger equations on hyperbolic manifolds.

problem Uncertainty principle for Schrödinger equations on hyperbolic manifolds.
method General strategy of Escauriaza-Kenig-Ponce-Vega, new Carleman estimates, logarithmic convexity, new mollifier and weight function.
result Similar rigidity phenomenon as in Euclidean space persists in hyperbolic geometry.

Quantifies polynomial approximation rates for smooth functions under various distributions.

problem Approximating smooth functions with polynomials under different distributional constraints.
method Develops a quantitative analogue of Carleman's theorem using complex analysis.
result Establishes superexponential rates of approximation for certain function classes over general distributions.

We prove the exponential law A(E×F,G)A(E,A(F,G))\mathcal A(E \times F, G) \cong \mathcal A(E,\mathcal A(F,G)) (bornological isomorphism) for the following classes A\mathcal A of test functions: B\mathcal B (globally bounded derivatives), W,pW^{\infty,p} (globally pp-integrable derivatives), S\mathcal S (Schwartz space), D\mathcal D

2014-11-03abs ↗pdf ↗

The study sharpens local Bernstein estimates for Laplace eigenfunctions on compact manifolds.

problem Understanding local growth properties of Laplace eigenfunctions on compact Riemannian manifolds.
method Refined Donnelly-Fefferman method based on L2L^{2}--Carleman estimates, combined with elliptic regularity and patching of local Carleman estimates.
result Almost sharp local LpL^{p}--Bernstein inequalities for p[1,]p\in[1,\infty].

Extends Killing vector fields to beyond compact Cauchy horizons.

problem Proves existence of Killing vector fields beyond compact Cauchy horizons.
method New unique continuation theorem for wave equations through smooth compact lightlike hypersurfaces; novel Carleman type estimate.
result Killing vector field exists on both sides of the horizon.

Research proves unique continuation for Einstein-vacuum equations on aAdS spacetimes.

problem Establishing rigorous mathematical statements for AdS/CFT correspondence.
method Novel Carleman estimates and unique continuation results for wave equations on aAdS spacetimes.
result Proved a unique continuation result for the Einstein-vacuum equations from aAdS conformal boundaries.

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.

2002-03-18abs ↗pdf ↗

The paper develops theory for holomorphic null curves in SL2(C).

problem Developing theory for holomorphic null curves in SL2(C).
method Establish Runge, Mergelyan, Mittag-Leffler, and Carleman type theorems for holomorphic null immersions.
result Proves every open Riemann surface admits a proper holomorphic null embedding into SL2(C).

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…

2013-10-17abs ↗pdf ↗

Geometric theory developed for ultradifferentiable functions and their wavefront sets.

problem Developing a geometric theory for ultradifferentiable functions.
method Using Dyn'kin's Theorem and Bony's Theorem, the ultradifferentiable wavefront set is defined and its properties are proven.
result Microlocal elliptic regularity theorem for ultradifferentiable vector bundles is proven.

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…

2009-04-02abs ↗pdf ↗

We consider Calderon's inverse problem with partial data in dimensions n3n \geq 3. 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…

2012-11-05abs ↗pdf ↗

Empower efficient representation of distributions through moment-preserving methods.

problem Representing high-dimensional probability measures efficiently and accurately.
method Empower efficient representation of distributions through moment-preserving methods.
result Empowers efficient and accurate representation of high-dimensional probability measures.

The paper extends spectral estimates to hyperbolic surfaces with hyperbolic ends.

problem Proving a necessary condition for observability of the heat semigroup on manifolds.
method Propagation of smallness estimates of Carleman and Logunov-Malinnikova type.
result Established spectral estimates for surfaces with hyperbolic ends, proving the thickness condition is necessary.

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,)…

2012-11-12abs ↗pdf ↗

A new weighted MCC measure improves classifier performance evaluation.

problem Lack of measures sensitive to observation weights in multiclass classification.
method Proposes weighted versions of Pearson-Matthews Correlation Coefficient (MCC) for binary and multiclass classification.
result Weighted MCC values are higher for classifiers that perform better on highly weighted observations.

Develops theory of weightings for Lie groupoids and algebroids.

problem Understanding differential geometry of weightings for Lie groupoids and algebroids.
method Extending work on weighted manifolds, defining weighted submanifolds, and developing theories of linear weightings and multiplicative weightings.
result Characterizes infinitesimally multiplicative weightings for Lie algebroids and classifies multiplicative weightings of Lie groupoids.

The paper extends spin geometry to weighted manifolds and defines a new mass for Ricci flow.

problem Generalizing spin geometry to weighted manifolds and defining a new mass.
method Investigates spectral properties of the weighted Dirac operator and defines a new mass.
result Defines a new mass for weighted asymptotically Euclidean manifolds and shows its monotonicity under Ricci flow.

The study explores weightings on submanifolds and their geometric properties.

problem Understanding weightings on submanifolds and their geometric implications.
method Detailed exploration of weighted normal bundles, weighted deformation spaces, and weighted blow-ups.
result A description of weightings in terms of subbundles of higher tangent bundles, leading to new concepts for Lie algebroids and groupoids.

Defines and proves properties of weighted renormalized volume coefficients.

problem None explicitly stated; focuses on mathematical definitions and proofs.
method Defines weighted renormalized volume coefficients and proves their variational nature and polynomial representation.
result Weighted renormalized volume coefficients are variational and can be expressed as polynomials of specific tensors.

Method measures weight similarity in neural networks using normalization and statistical inference.

problem Quantifying weight similarity in non-convex neural networks.
method Chain normalization rule and hypothesis-training-testing statistical inference.
result Weights of identical neural networks converge to similar local solutions.