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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.

168,695 papers · 148 categories

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83165248330 · Jun 202019922001200920172026
48 results for expansion property

Study local expansions of continuous-time processes using Ito signature properties.

problem Analyzing local expansions of continuous-time processes and their moments.
method Using the Ito signature, a basis of iterated integrals, to conduct expansions of the process' characteristic function.
result Explicit coefficients and stochastic representations for asymptotics as time shrinks or diverges.

Develops AMITE for analyzing neural network nonlinearities.

problem Addressing difficulties in verification, explainability, and security in neural network analysis.
method Analytically modified integral transform expansion (AMITE) for neural network nonlinearities.
result First to provide six mutually exclusive desired expansion properties.

The paper studies geometric properties of group equivariant operators and their Riemannian structure.

problem Understanding the geometric structure of group equivariant operators.
method Endowing the space of group equivariant non-expansive operators with a Riemannian manifold structure and using gradient descent methods.
result Gradient descent methods can be applied to minimize cost functions on the space of group equivariant non-expansive operators.

We give a detailed and easily accessible proof of Gromov's Topological Overlap Theorem. Let XX be a finite simplicial complex or, more generally, a finite polyhedral cell complex of dimension dd. Informally, the theorem states that if XX has sufficiently strong higher-dimensional expansion properties (which generali…

2015-06-15abs ↗pdf ↗

In graph theory there are intimate connections between the expansion properties of a graph and the spectrum of its Laplacian. In this paper we define a notion of combinatorial expansion for simplicial complexes of general dimension, and prove that similar connections exist between the combinatorial expansion of a compl…

2012-07-03abs ↗pdf ↗

The paper studies dynamical properties in semigroups modulo ideals.

problem Analyzing shadowing, expansivity, and stability in semigroups with ideals.
method Investigates shadowing, expansivity, and stability properties in uniform transformation semigroups modulo an ideal.
result Establishes that if a semigroup exhibits shadowing and expansivity modulo an ideal, it is also topologically stable modulo that ideal.

Study verifies asymptotic expansion for Reshetikhin-Turaev invariants of fundamental shadow link pairs.

problem Verifying the asymptotic expansion conjecture for Reshetikhin-Turaev invariants of fundamental shadow link pairs.
method Using logarithmic holonomies of meridians and hyperbolic cone structures, the study verifies the conjecture for pairs where MLM\setminus L is homeomorphic to a fundamental shadow link complement.
result The asymptotic expansion conjecture is true for pairs (M,L)(M,L) with sufficiently small cone angles and MLM\setminus L homeomorphic to a fundamental shadow link complement.

TaylorPODA uses Taylor expansions to improve feature attributions for opaque models.

problem Lack of systematic framework for quantifying feature contributions in opaque models.
method Taylor expansion framework with postulates (precision, federation, zero-discrepancy, adaptation).
result TaylorPODA achieves competitive results and provides principled explanations.

In the planar limit of the 't Hooft expansion, the Wilson-loop average in 3d Chern-Simons theory (i.e. the HOMFLY polynomial) depends in a very simple way on representation (the Young diagram), so that the (knot-dependent) Ooguri-Vafa partition function becomes a trivial KP tau-function. We study higher genus correctio…

2013-03-05abs ↗pdf ↗

This paper provides details of the construction, properties and some applications of the ambient metric associated to a conformal class of metrics on a smooth manifold. Existence and uniqueness of formal expansions defining such metrics are considered. Equivalence with the expansions of associated Poincare metrics is e…

2007-10-04abs ↗pdf ↗

By analyzing the affine Taylor expansion of a non-degenerate plane curve, we obtain characterizations of classes of such curves via curvature properties of the gravity curve. The proof is based on an analysis of the degree parity and leading coefficients of polynomials occurring in the expansion.

2011-10-29abs ↗pdf ↗

We study the Berezin-Toeplitz quantization on symplectic manifolds making use of the full off-diagonal asymptotic expansion of the Bergman kernel. We give also a characterization of Toeplitz operators in terms of their asymptotic expansion. The semi-classical limit properties of the Berezin-Toeplitz quantization for no…

2008-06-14abs ↗pdf ↗

In this work we present a new local to global criterion for proving a form of high dimensional expansion, which we term cosystolic expansion. Applying this criterion on Ramanujan complexes, yields for every dimension, an infinite family of bounded degree complexes with the topological overlapping property. This answer …

2015-10-03abs ↗pdf ↗

We study resurgence properties of partition function of SU(2) Chern-Simons theory (WRT invariant) on closed three-manifolds. We check explicitly that in various examples Borel transforms of asymptotic expansions posses expected analytic properties. In examples that we study we observe that contribution of irreducible f…

2016-05-24abs ↗pdf ↗

Non-negative curvature affects Markov chains' mixing and expansion properties.

problem Understanding the behavior of Markov chains with non-negative curvature.
method Analyzing conductance, displacement, and cutoff phenomenon in sparse Markov chains.
result Non-negatively curved Markov chains exhibit specific, non-standard behavior in terms of mixing and expansion.

The differential expansion is one of the key structures reflecting group theory properties of colored knot polynomials, which also becomes an important tool for evaluation of non-trivial Racah matrices. This makes highly desirable its extension from knots to links, which, however, requires knowledge of the 6j6j-symbols…

2017-09-26abs ↗pdf ↗

Characterizes convex cocompact actions in projective space with dynamical properties.

problem Understanding convex cocompact group actions in projective space.
method Dynamical characterization and expansion property analysis.
result Equivalence of convex cocompactness to an expansion property in different Grassmannians.

Gradient-enhanced GSA uses Poincaré chaos expansions for accurate sensitivity analysis.

problem Accurately estimating Sobol' indices with limited data.
method Integrates sparse, gradient-enhanced regression with Poincaré chaos expansions for derivative-based sensitivity analysis.
result Accurately estimated Sobol' indices using limited data.

New formulas derived for lattice crossing coefficients, improving computation efficiency.

problem Computing coefficients of Catalan states in lattice crossings.
method Using plucking polynomial and Θ_A-state expansion, deriving new properties and formulas.
result Coefficients of Catalan states factor under specific conditions, leading to more efficient computation.

Paper tackles high-order inference in structured prediction tasks.

problem Maximizing a score function on the space of labels in high-order Markov random fields.
method Generative model approach with two-stage convex optimization algorithm.
result Success in general high-order inference problems driven by hyperedge expansion properties.

We consider the asymptotic expansion of the heat kernel of a generalized Laplacian for t0+t\to 0^+ and characterize the coefficients aka_k of this expansion by a natural intertwining property. In particular we will give a closed formula for the infinite order jet of these coefficients on the diagonal in terms of the loc…

2001-05-17abs ↗pdf ↗

Bayesian inference for wide neural networks using Edgeworth expansion.

problem Analyzing the non-Gaussian behavior of wide neural networks in Bayesian inference.
method Proposed a non-Gaussian distribution using multivariate Edgeworth expansion for finite-width neural networks.
result Derived non-Gaussian posterior distribution in Bayesian regression tasks.

Convexity properties are preserved under radial transformations in hyperbolic and spherical geometries.

problem Preserving convexity in hyperbolic and spherical geometries under radial transformations.
method Used Poincaré disk model for hyperbolic geometry and stereographic projection for spherical geometry to prove preservation of convexity under radial expansion and contraction.
result Radial expansion and contraction preserve hyperbolic and spherical convexity, respectively.

We generalize several recent results concerning the asymptotic expansions of Bergman kernels to the framework of geometric quantization and establish an asymptotic symplectic identification property. More precisely, we study the asymptotic expansion of the GG-invariant Bergman kernel of the spin^c Dirac operator assoc…

2006-07-24abs ↗pdf ↗

We consider implied volatilities in asset pricing models, where the discounted underlying is a strict local martingale under the pricing measure. Our main result gives an asymptotic expansion of the right wing of the implied volatility smile and shows that the strict local martingale property can be determined from thi…

2015-08-18abs ↗pdf ↗

Study asymptotic properties of generalized shortfall risk measures for heavy-tailed risks.

problem Understanding risk measures for heavy-tailed risks.
method Derive asymptotic expansions for generalized shortfall risk measures.
result Unified theory for risk measures including distortion and utility-based measures.

We discuss a natural form of Ricci--flow conjugation between two distinct general relativistic data sets given on a compact n3n\geq 3-dimensional manifold ΣΣ. We establish the existence of the relevant entropy functionals for the matter and geometrical variables, their monotonicity properties, and the associated conve…

2010-06-08abs ↗pdf ↗

Connectedness of small clusters in Riemannian and Finsler manifolds proven.

problem Understanding connectedness of small clusters in Riemannian and Finsler manifolds.
method Proved connectedness and small diameter properties for clusters of small volume in both manifolds.
result Clusters in Riemannian manifolds are connected and have small diameter; in Finsler manifolds, they are at most m connected components of small diameter.

Using Laurent expansions of the Kontsevich-Vishik canonical trace of holomorphic families of classical pseudodifferential operators, we define functionals on the space of Riemannian metrics and investigate their conformal properties, thereby giving a unified description of several conformal invariants and anomalies.

2005-08-16abs ↗pdf ↗

We study the variation of a smooth volume form along extremals of a variational problem with nonholonomic constraints and an action-like Lagrangian. We introduce a new invariant describing the interaction of the volume with the dynamics and we study its basic properties. We then show how this invariant, together with c…

2016-02-28abs ↗pdf ↗

Deep ReLU networks show that 4 layers suffice for unique input recovery.

problem Injectivity capacity of deep ReLU networks.
method Developed a program connecting deep ReLU injectivity to an ll-extension of the 0\ell_0 spherical perceptrons, using random duality theory.
result Only 4 layers are needed for unique input recovery, showing expansion saturation effect.

Empirical analysis of many colored knot polynomials, made possible by recent computational advances in Chern-Simons theory, reveals their stability: for any given negative N and any given knot the set of coefficients of the polynomial in r-th symmetric representation does not change with r, if it is large enough. This …

2015-04-27abs ↗pdf ↗

Expander graphs have been a focus of attention in computer science in the last four decades. In recent years a high dimensional theory of expanders is emerging. There are several possible generalizations of the theory of expansion to simplicial complexes, among them stand out coboundary expansion and topological expand…

2014-08-27abs ↗pdf ↗

Fairness constraints improve exact recovery in structured prediction models.

problem Exact recovery of fair binary node labels from noisy observations.
method Analyzed Globerson et al. (2015) model with fairness constraints and improved exact recovery for graphs with poor expansion properties.
result Fairness constraints improve the probability of exact recovery from noisy observations.