arXiv research

Rescaling expansiveness proven for k*-expansive vector fields.

This paper gives quantitative global estimates between a time dependent flow on a Riemannian manifold $\left( M\right)$ and the flow of a vector field constructed by truncating the formal Magnus expansion for the logarithm of the flow. As a corollary, we also find quantitative estimates between the composition of the …

Researchers calculate the second coefficient in the expansion of a Toeplitz operator.

Detects anomalies in vector fields without distributional assumptions.

Develops geometric Weyl calculus for curved spacetimes.

New self-similarity for Einstein vacuum equations identified.

Let $H_h = h^2 L +V$ where $L$ is a self-adjoint Laplace type operator acting on sections of a vector bundle over a compact Riemannian manifold and $V$ is a symmetric endomorphism field. We derive an asymptotic expansion for the heat kernel of $H_h$ as $h \to 0$. As a consequence we get an asymptotic expansion for the …

New methods show quasinormal modes can be defined using various stationary Killing vectors.

By adapting methods of \cite{AC} we prove a sharp estimate on the expansion modulus of the gradient of the log of the parabolic kernel to the Schördinger operator with convex potential, which improves an earlier work of Brascamp-Lieb. We also include alternate proofs to the improved log-concavity estimate, and to the f…

Study transverse metric expansion on null hypersurfaces, proving uniqueness for Killing horizons.

We describe the first known mean-field study of landing probabilities for random walks on hypergraphs. In particular, we examine clique-expansion and tensor methods and evaluate their mean-field characteristics over a class of random hypergraph models for the purpose of seed-set community expansion. We describe paramet…

Study stability and rigidity of axisymmetric marginally outer trapped surfaces.

Given for instance a finite volume negatively curved Riemannian manifold $M$, we give a precise relation between the logarithmic growth rates of the excursions into cusps neighborhoods of the strong unstable leaves of negatively recurrent unit vectors of $M$ and their linear divergence rates under the geodesic flow. As…

Study on future stability of FLRW spacetime solutions with decelerated expansion.

This book provides a detailed introduction to linear wave equations on Lorentzian manifolds (for vector-bundle valued fields). After a collection of preliminary material in the first chapter one finds in the second chapter the construction of local fundamental solutions together with their Hadamard expansion. The third…

Consider a flat vector bundle F over compact Riemannian manifold M and let f be a self-indexing Morse function on M. Let g be a smooth Euclidean metric on F. Set g_t=exp(-2tf)g and let ρ(t) be the Ray-Singer analytic torsion of F associated to the metric g_t. Assuming that the vector field $grad f$ satisfies the Morse-…

Study of 3D trans-Sasakian manifolds using Newman--Penrose formalism.

We present a regression technique for data-driven problems based on polynomial chaos expansion (PCE). PCE is a popular technique in the field of uncertainty quantification (UQ), where it is typically used to replace a runnable but expensive computational model subject to random inputs with an inexpensive-to-evaluate po…

In the previous article (\cite{S}), we proved that slope stability of a holomorphic vector bundle $E$ over a polarized manifold $(X,L)$ implies Chow stability of $(\mathbb{P}E^*,\mathcal{O}_{\mathbb{P}E^*}(1)\otimes π^* L^k)$ for $k \gg 0$ if the base manifold has no nontrivial holomorphic vector field and admits a con…

BEGIN network models binary data without parametric assumptions.

Topological quantum field theories with gauge group $\textrm{SU}_2$ associate to each surface with marked points $Σ$ and each integer $r>0$ a vector space $V_r (Σ)$ and to each simple closed curve $γ$ in $Σ$ an Hermitian operator $T_r^γ$ acting on that space. We show that the matrix elements of the operators $T_r^γ$ ha…

The paper studies magnetic field effects on surface eigenvalues and spectral properties.

The paper provides non-asymptotic Edgeworth expansions for neural network outputs.

Study Nash equilibrium in mean field portfolio games with random market parameters.

The paper studies the asymptotic expansion of Gaussian integral operators on Riemannian submanifolds.

A new Fourier model improves ODE prediction.

Improved surrogate model for field-valued QoIs using LF and HF simulations.

We propose an efficient distributed online learning protocol for low-latency real-time services. It extends a previously presented protocol to kernelized online learners that represent their models by a support vector expansion. While such learners often achieve higher predictive performance than their linear counterpa…

We study the free energy of the Laughlin state on curved backgrounds, starting from the free field representation. A simple argument, based on the computation of the gravitational effective action from the transformation properties of Green functions under the change of the metric, allows to compute the first three ter…

We show that Chern-Simons gauge theory with appropriate cutoffs is equivalent, term by term in perturbation theory, to a Fermionic theory with a nonlocal interaction term. When an additional cutoff is placed on the Fermi fields, this Fermionic theory gives rise to a convergent perturbation expansion. This leads us to c…

Study on mean field games with singular controls and their applications.

New Ricci curvature means derived from plane curvatures.

We study finite-dimensional integrals in a way that elucidates the mathematical meaning behind the formal manipulations of path integrals occurring in quantum field theory. This involves a proper understanding of how Wick's theorem allows one to evaluate integrals perturbatively, i.e., as a series expansion in a formal…

We conjecture that the Joyce-Song wall-crossing formula for Donaldson-Thomas invariants arises naturally from an asymptotic expansion in the field theoretic work of Gaiotto, Moore and Neitzke. This would also give a new perspective on how the formulae of Joyce-Song and Kontsevich-Soibelman are related. We check the con…

Dropout increases the generalization of neural networks by expanding the weight space.

This work explores functional expansions to handle path dependence in various fields.

Paper transforms torse-forming vector fields into simpler forms.

Recently, the binary expansion testing framework was introduced to test the independence of two continuous random variables by utilizing symmetry statistics that are complete sufficient statistics for dependence. We develop a new test based on an ensemble approach that uses the sum of squared symmetry statistics and di…

Study on neural networks' performance under different normalizations as N grows.

The paper proves that certain modified conformal vector fields are trivial on compact and non-compact manifolds.

Paper tackles high-order inference in structured prediction tasks.

New equations simplify gauge-theoretic Khovanov homology solutions.

The position vector field x is the most elementary and natural geometric object on a Euclidean submanifold $M$. The position vector field plays very important roles in mathematics as well as in physics. Similarly, the tangential component x^T of the position vector field is the most natural vector field tangent to the …

Conformal vector fields on LCP manifolds are orthogonal and Killing.

The paper studies asymptotic expansions of operators related to Bochner-Schrödinger on Riemannian manifolds.

For a submanifold M in a Euclidean space, the tangential component x^T of the position vector field x of M is the most natural vector field tangent to the Euclidean submanifold, called the canonical vector field of M. In this article, first we prove that the canonical vector field of every Euclidean submanifold is alwa…

Study Bergman kernels on Kähler orbifolds with specific properties.

Study on vector fields on Lie groups reveals surprising algebraic coincidences.