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arXiv research

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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48 results for bounded domain

Establishes a lower bound for Kähler hyperbolicity modulus in hyperconvex domains and bounded strongly pseudoconvex domains.

problem Kähler hyperbolicity modulus for simply-connected Kähler hyperbolic manifolds
method Computes the Kähler hyperbolicity modulus for bounded symmetric domains
result Establishes a lower bound for the Kähler hyperbolicity modulus in terms of the boundary behavior of the gradient length of a plurisubharmonic function

Study holomorphic isometric embeddings between symmetric domains, focusing on total geodesy.

problem Holomorphic isometric embeddings between bounded symmetric domains.
method Analyzing total geodesy in reducible bounded symmetric domains with the same rank.
result Total geodesy of holomorphic isometric embeddings in reducible domains with the same rank.

Introduces spectral-domain Wasserstein distance and Gelbrich bound for elliptical processes.

problem Estimating distances and bounds for elliptical stochastic processes.
method Defines spectral-domain W2\mathcal{W}_2 Wasserstein distance and Gelbrich bound.
result Develops new spectral-domain bounds for non-elliptical processes.

No isometric holomorphic maps between Teichmüller spaces and bounded domains.

problem Holomorphic isometries between Teichmüller spaces and bounded symmetric domains.
method Analyzing intrinsic metrics and properties of Teichmüller spaces and bounded symmetric domains.
result No isometric holomorphic maps exist in dimensions two or more.

Willmore-type inequalities for bounded domains in manifolds with curvature bounds.

problem Establishing inequalities for bounded domains in manifolds with curvature bounds.
method Using asymptotic or integral Ricci curvature bounds to establish inequalities.
result Recovering a recent inequality of Jin-Yin.

Paper investigates nonexistence of solutions for elliptic inequalities with potential in bounded domains.

problem Effect of potential behavior at domain boundaries on nonexistence of nonnegative solutions.
method Investigates elliptic differential inequalities with a potential in bounded domains.
result Nonexistence of nonnegative solutions due to potential behavior at domain boundaries.

Rigidity theorem for Bergman metric on Hartogs domains over bounded homogeneous domains.

problem Proving rigidity of Bergman metric on Hartogs domains.
method Combining explicit formula for Bergman kernel and structural invariants of bounded homogeneous base.
result Conditions for Bergman metric to be Kähler-Einstein, homogeneous, and biholomorphic to Bn+m\mathbb B^{n+m} are equivalent.

Proves well-posedness for elliptic problems on domains with singular points.

problem Elliptic boundary value problems on domains with singular points.
method Conformal changes of metric, differential geometry of manifolds with boundary and bounded geometry.
result Proves well-posedness and regularity results for elliptic boundary value problems.

Characterizes Kähler-hyperbolicity of bounded symmetric domains based on rank and genus.

problem Understanding the Kähler-hyperbolicity of bounded symmetric domains.
method Defines Kähler-hyperbolicity length by rank and genus, and characterizes it through a special Bergman potential.
result Establishes a unique constant for Kähler-hyperbolicity based on gradient length of a Bergman potential.

Paper tackles open set domain adaptation with theoretical bounds and algorithms.

problem Improving model performance on target domain with unknown classes.
method Theoretical investigation and regularization of open set difference, leading to DAOD algorithm.
result Proposed learning bound and algorithm show superior performance compared to existing methods.

The study proves the existence of complete Kähler metrics with negative holomorphic bisectional curvature in specific domains.

problem Proving the existence of complete Kähler metrics with negative holomorphic bisectional curvature in certain domains.
method Analyzing bounded domains in Cn\mathbb{C}^n with specific curvature properties.
result Strictly pseudoconvex bounded domains and domains with squeezing function tending to 1 at boundary points admit complete Kähler metrics with negative holomorphic bisectional curvature everywhere.

Bounded symmetric domains are biholomorphic to tube domains over Finsler symmetric cones.

problem Characterizing biholomorphic mappings between tube domains and bounded symmetric domains.
method Analyzing properties of Finsler symmetric cones and unital JB-algebras.
result Tube domains over Finsler symmetric cones are biholomorphic to bounded symmetric domains.

We give a necessary complex geometric condition for a bounded smooth convex domain in Cn, endowed with the Kobayashi distance, to be Gromov hyperbolic. More precisely, we prove that if a smooth bounded convex domain contains an analytic disk in its boundary, then the domain is not Gromov hyperbolic for the Kobayashi di…

2013-12-02abs ↗pdf ↗

The study sets lower bounds for eigenvalue sums of Laplacian on bounded domains and spheres.

problem Establishing lower bounds for eigenvalue sums of the Laplacian.
method Extending known results on eigenvalues of Laplacian for bounded domains, spheres, and surfaces.
result Improved lower bounds for eigenvalue sums, connecting to conjectures and extending known results.

Extends polydisk theorem to Hartogs domains over symmetric domains.

problem Rigidity phenomena in Riemannian manifolds.
method Extension of polydisk theorem to Hartogs domains over arbitrary symmetric domains.
result Dual of a Hartogs domain over a bounded symmetric domain admits no totally geodesic immersion into any compact Riemannian manifold.

The paper proves rigidity theorems on holomorphic isometries into homogeneous domains.

problem Characterizing and comparing holomorphic isometries into homogeneous bounded domains.
method Two rigidity theorems on holomorphic isometries into homogeneous bounded domains.
result The flat (definite or indefinite) complex Euclidean space is not a relative of a homogeneous bounded domain.

New bounds improve generalization for deep neural networks in domain adaptation.

problem Deriving tight generalization guarantees for deep neural networks in domain adaptation.
method Combining data-dependent PAC-Bayes analysis with importance weighting.
result A simple importance weighting extension provides the tightest estimable bound.

Study automorphic forms on bounded domains, proving spanning results and estimating norms.

problem Understanding automorphic forms on bounded symmetric domains and their norms.
method Proving spanning results for vector-valued Poincaré series and analyzing holomorphic automorphic forms.
result Found different asymptotic behaviors of norms for certain submanifolds.

The study finds lower bounds for the first eigenvalue of the Laplacian in planar domains with magnetic fields.

problem Finding lower bounds for the first eigenvalue of the Laplacian in planar domains with magnetic fields.
method Analyzing the spectrum of the Laplacian with magnetic Neumann boundary conditions, focusing on multiply connected domains with convex curves. Lower bounds are derived based on geometric invariants such as area, perimeter, diameter, and fluxes around inner holes.
result Sharp lower bounds for the first eigenvalue are derived for doubly connected domains and domains with an arbitrary number of holes, and a lower bound is obtained for Aharonov-Bohm operators with an arbitrary number of poles when holes shrink to points.

Sharp lower bounds for magnetic Laplacian eigenvalues on cylinders and domains.

problem Finding the minimum eigenvalue of the magnetic Laplacian.
method Analyzing Riemannian cylinders and planar domains with closed potential 1-forms, establishing sharp lower bounds.
result Sharp lower bounds for the first eigenvalue of the magnetic Laplacian on cylinders and domains.

Sharp HLS inequality on bounded domains with applications to curvature and isoperimetric constants.

problem Sharp Hardy-Littlewood-Sobolev inequality on bounded domains.
method Extension operator and suitable test functions.
result Existence of extremal functions and abstract domains with zero scalar curvature and larger isoperimetric constant.

Let N be a complete Riemannian manifold of dimension n+1 whose Riemannian metric g is conformally equivalent to a metric with non-negative Ricci curvature. The normalized Steklov eigenvalues of a bounded domain in N are bounded above in terms of the isoperimetric ratio of the domain. Consequently, the normalized Steklo…

2011-03-15abs ↗pdf ↗

The paper studies complex Finsler metrics and their equivalence to the Kobayashi metric.

problem Investigating properties and equivalence of complex Finsler metrics.
method Using curvature properties of Bergman metrics and Schwarz lemma, the paper analyzes complex Finsler metrics and their equivalence to the Kobayashi metric.
result Uniform equivalences of the Kobayashi metric and Carathéodory metric on bounded strongly convex domains with smooth boundaries are proven.

Improved analysis of gradual domain adaptation with better generalization bounds.

problem Improving generalization in target domain through intermediate unlabeled domains.
method Analyzed gradual self-training under more general assumptions, proving a new generalization bound.
result Proved a significantly improved generalization bound of ε0 + O(TΔ + T/√n) + ˜O(1/√nT).

Study Kähler-Ricci solitons on bounded domains, proving they are Kähler-Einstein.

problem Characterize Kähler-Ricci solitons on bounded pseudoconvex domains.
method Prove solitons are Kähler-Einstein under suitable assumptions, using Huang and Xiao's resolution of Cheng's conjecture.
result Kähler-Ricci solitons on bounded pseudoconvex domains are Kähler-Einstein.

Lower bounds on average normal curvature for submanifolds in Riemannian domains.

problem Finding bounds on the average normal curvature of submanifolds in Riemannian domains.
method Using an invariant measuring optimal nn-trace convexity under unit-gradient normalization.
result Lower bounds for the average normal curvature expressed in terms of an invariant.

AES learns feasible domains in unbounded spaces with bounded query budget.

problem Learning feasible domains in unbounded input spaces with limited query budget.
method Active Expansion Sampling (AES) progressively expands knowledge of the input space, switching between learning decision boundaries and searching for new feasible domains.
result AES has a misclassification loss guarantee within the explored region, independent of iterations or labeled samples.