Study continuity of Bergman kernels on degenerating varieties.
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.
Trend · papers per month
Study Bergman kernel metrics on degenerating hyperelliptic surfaces.
A wild bootstrap method for nonparametric hypothesis tests based on kernel distribution embeddings is proposed. This bootstrap method is used to construct provably consistent tests that apply to random processes, for which the naive permutation-based bootstrap fails. It applies to a large group of kernel tests based on…
The paper solves heat kernel asymptotics on non-degenerate CR manifolds.
Study on stability of 3D sessile drops, identifying degenerate kernel.
High-dimensional U-statistics show surprising phase transitions, impacting kernel-based tests.
We treat the Witten operator on the de Rham complex with semiclassical heat kernel methods to derive the Poincaré-Hopf theorem and degenerate generalizations of it. Thereby, we see how the semiclassical asymptotics of the Witten heat kernel are related to approaches using the Thom form of Mathai and Quillen.
Manifolds with fibered cusps are a class of complete noncompact Riemannian manifolds including all locally symmetric spaces of rank one. We study the spectrum of the Hodge Laplacian with coefficients in a flat bundle on a closed manifold undergoing degeneration to a manifold with fibered cusps. We obtain precise asympt…
The paper explores unique properties of Kähler manifolds without shared CR-submanifolds.
New approach to Carrollian geometry using -bundles.
We calculate the second coefficient of the asymptotic expansion of the Bergman kernel of the Hodge-Dolbeault operator associated to high powers of a Hermitian line bundle with non-degenerate curvature, using the method of formal power series developed by Ma and Marinescu.
Deep Gaussian processes can have non-degenerate and non-Gaussian limits.
Study gaps and clusters in eigenvalues of magnetic Laplacian on manifolds.
We establish the existence of the asymptotic expansion of the Bergman kernel associated to the spin-c Dirac operators acting on high tensor powers of line bundles with non-degenerate mixed curvature (negative and positive eigenvalues) by extending the paper " On the asymptotic expansion of Bergman kernel " (math.DG/040…
There are two parts of this paper. First, we discovered an explicit formula for the complex Hessian of the weighted log-Bergman kernel on a parallelogram domain, and utilised this formula to give a new proof about the strict convexity of the Mabuchi functional along a smooth geodesic. Second, when a C^{1,1}-geodesic co…
Paper analyzes soft tree ensembles using NTK, finding only leaf count matters.
New method for spectral and Bergman kernels under local spectral gap condition.
Study small eigenvalues of Riemann surfaces degenerating with Kähler metrics.
In this paper we investigate the small time heat kernel asymptotics on the cut locus on a class of surfaces of revolution, which are the simplest 2-dimensional Riemannian manifolds different from the sphere with non trivial cut-conjugate locus. We determine the degeneracy of the exponential map near a cut-conjugate poi…
A new data-adaptive prior stabilizes kernel learning in operators.
Study Bergman and spectral kernels for non-compact complex manifolds.
Let be a compact complex manifold of complex dimension and let be a one-parameter family of Hermitian forms on that are smooth and positive definite for each fixed and that somehow degenerates to a Hermitian pseudometric for tending to . In this paper under rather general a…
The conormal lift of a link in is a Legendrian submanifold in the unit cotangent bundle of with contact structure equal to the kernel of the Liouville form. Knot contact homology, a topological link invariant of , is defined as the Legendrian homology of , the homology of a di…
The paper studies hanging chains and surfaces in degenerate geometries.
Let be a given real valued function. We assume that $\pr\ddbarφ$ is non-degenerate of constant signature on . When , it is well-known that the Bergman kernel for forms with respect to the -th weight , , admits a full asymptotic expansi…
Deep learning (DL) is one of the most prominent branches of machine learning. Due to the immense computational cost of DL workloads, industry and academia have developed DL libraries with highly-specialized kernels for each workload/architecture, leading to numerous, complex code-bases that strive for performance, yet …
We study the spectrum and heat kernel of the Hodge Laplacian with coefficients in a flat bundle on a closed manifold degenerating to a manifold with wedge singularities. Provided the Hodge Laplacians in the fibers of the wedge have an appropriate spectral gap, we give uniform constructions of the resolvent and heat ker…
We obtain a vanishing theorem for the half-kernel of a transverse ${\rm Spin}\sp c$ Dirac operator on a compact manifold endowed with a transversely almost complex Riemannian foliation twisted by a sufficiently large power of a line bundle, whose curvature vanishes along the leaves and is transversely non-degenerate at…
Paper develops efficient incomplete U-statistics for degenerate cases.
Wide neural networks converge to Gaussian processes, improving generalization.
Permutation-valued features arise in a variety of applications, either in a direct way when preferences are elicited over a collection of items, or an indirect way in which numerical ratings are converted to a ranking. To date, there has been relatively limited study of regression, classification, and testing problems …
Let be a compact connected orientable CR manifold of dimension with non-degenerate Levi curvature. Assume that admits a connected compact Lie group action . Under certain natural assumptions about the group action , we show that the -invariant Szegö kernel for forms is a comp…
The Bergman kernels of holomorphic vector bundles are studied to extend the Fubini-Study map.
The abstract presents a new theorem using Ross-Witt Nyström correspondence and Berndtsson's theorem.
We propose a Hodge theory for the spaces featuring at the second step either in the Frölicher spectral sequence of an arbitrary compact complex manifold or in the spectral sequence associated with a pair of complementary regular holomorphic foliations on such a manifold. The main idea is to …
New method for MMD with unequal sample sizes improves test power.
Improved estimation of higher order integrals using shrinkage techniques.
A new test statistic speeds up MMD while maintaining power.
This paper explains robust overfitting in wide DNNs using adversarial training and NTK theory.
In this paper we study the asymptotic behaviour of the spectral function corresponding to the lower part of the spectrum of the Kodaira Laplacian on high tensor powers of a holomorphic line bundle. This implies a full asymptotic expansion of this function on the set where the curvature of the line bundle is non-degener…
A family of maximum mean discrepancy (MMD) kernel two-sample tests is introduced. Members of the test family are called Block-tests or B-tests, since the test statistic is an average over MMDs computed on subsets of the samples. The choice of block size allows control over the tradeoff between test power and computatio…
Paper develops methods for analyzing forms with synchronized singularities.
We obtain a vanishing theorem for the kernel of a Dirac operator on a Clifford module twisted by a sufficiently large power of a line bundle, whose curvature is non-degenerate at any point of the base manifold. In particular, if the base manifold is almost complex, we prove a vanishing theorem for the kernel of a $\spi…
Geometric theory connects machine learning classifiers to differential geometry.
This article contains a detailed study, in the toric case, of the test configuration geodesic rays defined by Phong-Sturm. We show that the `Bergman approximations' of Phong-Sturm converge in C^1 to the geodesic ray and that the geodesic ray itself is C^{1,1} and no better. The \kahler metrics associated to the geodesi…
Bayesian deep neural networks converge to processes with α-stable marginals under infinite variance weights.
In this paper we define a new convergence called "asymptotically conic convergence" in which a smooth family of Riemannian metrics on a fixed compact manifold degenerate to a metric with isolated conic singularity. Our results are: convergence of the spectrum of the geometric Laplacians and uniform convergence of the c…
Proves stable degeneration preserves symplectic forms and confirms Kaledin's conjecture.