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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.

169,291 papers · 148 categories

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68136203271 · May 202619922001200920182026
48 results for asymptotic kernels

Study Szegő kernel on non-compact CR manifolds with specific conditions.

problem Analyzing Szegő kernel on non-compact CR manifolds.
method Establish Szegő kernel asymptotic expansions on non-compact strictly pseudoconvex CR manifolds with transversal CR R\mathbb{R}-action under natural geometric conditions.
result Szegő kernel asymptotic expansions established on non-compact CR manifolds.

Study on kernel tests for high-dimensional data, focusing on MMD and CLT.

problem Asymptotic behavior of kernel two-sample tests in high dimensions and large samples.
method Maximum mean discrepancy (MMD) with isotropic kernels, deriving asymptotic expansions and CLT.
result Interplay between moment discrepancy and dimension-and-sample orders in kernel tests.

Study asymptotics of Poisson kernel and Green's functions for fractional conformal Laplacian.

problem Asymptotics of Poisson kernel and Green's functions for fractional conformal Laplacian.
method Sharp expansions derived for the Poisson kernel and Green's functions near singularities.
result Sharp expansions of the Green's functions solve the first part of Kim-Musso-Wei's conjecture.

Study reproducing kernels on complex Kepler manifolds.

problem Complex geometry of generalized Kepler manifolds.
method Introduce Hilbert spaces of holomorphic functions and find asymptotic expansions of reproducing kernels.
result Complete asymptotic expansions of reproducing kernels found for Kähler potentials.

Study on symplectic manifolds, focusing on Bergman kernels and their asymptotic behavior.

problem Asymptotic behavior of Bergman kernels on symplectic manifolds of bounded geometry.
method Establish off-diagonal exponential estimates, full asymptotic expansions, and Berezin-Toeplitz quantization.
result Improved remainder estimates for the asymptotic expansion of Bergman kernels.

Study asymptotics of extension and orthogonal Bergman kernels for high tensor powers of positive line bundles.

problem Asymptotic behavior of Bergman kernels for high tensor powers of positive line bundles.
method Analyzing the Schwartz kernel of the Ohsawa-Takegoshi extension operator and orthogonal Bergman projector, proving exponential estimates and asymptotic expansions.
result Explicit asymptotic expansions for the Ohsawa-Takegoshi extension operator and orthogonal Bergman projector.

Study on symplectic manifolds finds asymptotic expansions for Bergman kernels.

problem Analyzing asymptotic expansions of Bergman kernels on symplectic manifolds.
method Established asymptotic expansions for renormalized Bochner Laplacians on high tensor powers of positive line bundles.
result Full off-diagonal asymptotic expansion for generalized Bergman kernels.

Optimal kernel improves estimation accuracy in modal statistical methods.

problem Estimation accuracy of kernel-based modal statistical methods depends on the kernel used.
method The study theoretically shows an optimal kernel that minimizes asymptotic error criterion.
result An optimal kernel minimizes the error criterion when using an optimal bandwidth.

Optimal Biweight kernel and computationally efficient Epanechnikov kernel for modal linear regression.

problem Finding the best kernel for modal linear regression.
method Refined analysis of asymptotic statistical behavior and IRLS algorithm convergence.
result Biweight kernel minimizes asymptotic mean squared error, Epanechnikov kernel guarantees IRLS convergence.

Study shows quantum behavior near infinity in metric asymptotics.

problem Quantum behavior of metrics near infinity on quasi-projective manifolds.
method Analysis of Bergman kernel function near smooth divisor at infinity of Cheng-Yau metric.
result Quantum phenomenon observed for points very close to the divisor at infinity.

The paper analyzes heat kernel asymptotics for real powers of Laplacians on manifolds.

problem Analyzing the small-time behavior of heat kernels for real powers of Laplacians.
method Analyzes asymptotics on the diagonal and away from it, proving non-triviality and non-locality of coefficients.
result Logarithmic terms appear only if the manifold dimension is odd and the power is rational with even denominator.

The Bergman-Szegő kernel is analyzed for weakly pseudoconvex CR manifolds of finite type.

problem Analyzing the Bergman-Szegő kernel for specific CR manifolds.
method Constructing a parametrix for the Szegő kernel, extending earlier results.
result Extending Fefferman's boundary asymptotics to weakly pseudoconvex domains in \(\mathbb{C}^{2}\).

In this paper we study the small time asymptotics for the heat kernel on a sub-Riemannian manifold, using a perturbative approach. We then explicitly compute, in the case of a 3D contact structure, the first two coefficients of the small time asymptotics expansion of the heat kernel on the diagonal, expressing them in …

2011-05-06abs ↗pdf ↗

Study on manifolds with kinks and Gaussian kernel behavior.

problem Understanding the asymptotic behavior of graph Laplacian on manifolds with singularities.
method Introduced manifolds with kinks, derived asymptotic behavior of Graph Laplacian with Gaussian kernel, and validated results numerically.
result Asymptotic behavior of the Graph Laplacian is determined by the inward sector of the tangent space.

The study computes Bergman kernels and point process asymptotics on Kähler manifolds.

problem Computing asymptotics of Bergman kernels and point process distributions on Kähler manifolds.
method Equivariant and partial Bergman kernels, determinantal point processes, asymptotic analysis.
result The distribution of linear statistics converges to a centered normal variable with specific variances.

We consider second-order elliptic partial differential operators acting on sections of vector bundles over a compact Riemannian manifold without boundary, working without the assumption of Laplace-like principal part NμNμ-\N^μ\N_μ. Our objective is to obtain information on the asymptotic expansions of the corresponding r…

1999-05-03abs ↗pdf ↗

Uniform heat kernel and diffusion bridge asymptotics for sub-Riemannian geometry.

problem Analyzing sub-Riemannian heat kernels and their derivatives on incomplete manifolds.
method Localized asymptotic analysis, focusing on minimizing geodesics and the non-abnormal cut locus.
result Uniform bounds and expansions for heat kernels and their derivatives on compacts, including the diffusion bridge measure.

We prove an exponential estimate for the asymptotics of Bergman kernels of a positive line bundle under hypotheses of bounded geometry. We give further Bergman kernel proofs of complex geometry results, such as separation of points, existence of local coordinates and holomorphic convexity by sections of positive line b…

2013-10-14abs ↗pdf ↗

The paper solves heat kernel asymptotics on non-degenerate CR manifolds.

problem Existence of small-time asymptotics for the heat kernel of the Kohn Laplacian on CR manifolds.
method Analytic methods and spectral theory for CR manifolds.
result Established small-time asymptotics for the heat kernel and analytic torsion on non-degenerate CR manifolds.

We consider the heat kernel (and the zeta function) associated with Laplace type operators acting on a general irreducible rank 1 locally symmetric space X. The set of Minakshisundaram- Pleijel coefficients {A_k(X)}_{k=0}^{\infty} in the short-time asymptotic expansion of the heat kernel is calculated explicitly.

1998-04-23abs ↗pdf ↗

Study the heat kernel on quaternionic anti-de Sitter spaces and related spaces.

problem Understanding the heat kernel on quaternionic anti-de Sitter spaces and related spaces.
method Detailed study of the geometry, derivation of the horizontal Laplacian and subelliptic heat kernel formulas, derivation of small time asymptotics.
result Explicit formulas for the horizontal Laplacian and subelliptic heat kernel of the quaternionic anti-de Sitter fibration.

We show that under very general assumptions the partial Bergman kernel function of sections vanishing along an analytic hypersurface has exponential decay in a neighborhood of the vanishing locus. Considering an ample line bundle, we obtain a uniform estimate of the Bergman kernel function associated to a singular metr…

2016-01-03abs ↗pdf ↗

The study examines Bergman kernels on complex manifolds with boundary and their asymptotic expansions.

problem Analyzing Bergman kernels on complex manifolds with boundary and their asymptotic behavior.
method Establishing asymptotic expansions of partial Bergman kernels for high-frequency Fourier modes on R\mathbb{R}-symmetric complex manifolds with boundary.
result Established R\mathbb{R}-equivariant extension results for biholomorphic maps between weakly pseudoconvex domains.

Study integral kernels on complex symmetric spaces and their Dyson Brownian Motion applications.

problem Analysis of integral kernels on complex symmetric spaces.
method Simple new method of alternating sum formulas to construct WW-invariant kernels and their asymptotic behavior.
result Obtained asymptotic behavior of integral kernels and applied to Dyson Brownian Motion.

We consider a general Hermitian holomorphic line bundle LL on a compact complex manifold MM and let pq{\Box}^q_p be the Kodaira Laplacian on (0,q)(0,q) forms with values in LpL^p. The main result is a complete asymptotic expansion for the semi-classically scaled heat kernel exp(upq/p)(x,x)\exp(-u{\Box}^q_p/p)(x,x) along the diagonal…

2014-06-01abs ↗pdf ↗

The study shows inner-product kernels behave similarly to binary kernels in high dimensions.

problem Understanding the behavior of inner-product kernels in high-dimensional data.
method Investigation of eigenspectrum under binary mixture model using random matrix theory.
result The eigenspectrum of inner-product kernels is asymptotically equivalent to binary kernels.

The paper analyzes how re-weighting helps in reducing variance in high-dimensional kernel methods under covariate shifts.

problem The challenge of high-dimensional kernel methods under covariate shifts and the role of re-weighting.
method Derives asymptotic expansion of high-dimensional kernels under covariate shifts, analyzes bias-variance decomposition, and characterizes the regularized kernel.
result Re-weighting helps in decreasing variance and can be seen as a data-dependent regularization.