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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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52105157209 · Jun 202019922001200920172026
48 results for expansion dimension

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 ↗

Study of conformally compact metrics and Lovelock tensors in even dimensions.

problem Understanding conformally compact metrics satisfying Lovelock equations.
method Polyhomogeneous expansions and formal solutions to singular Yamabe-(2q) problem.
result Identification of a boundary obstruction in even dimensions that generalizes the ambient obstruction tensor.

Projection pursuit model improves Gaussian process regression for high-dimensional data.

problem Scalability issues with traditional Gaussian process models in high dimensions.
method Additive Gaussian process regression with dimension expansion and gradient descent.
result The proposed method approximates more complex functions and outperforms traditional models.

The study proves an expansion theorem for scalar-flat asymptotically conical Kähler metrics.

problem Proving an expansion theorem for scalar-flat asymptotically conical Kähler metrics.
method Using weak decay conditions and the standard Kähler metric of the metric cone, the expansion theorem is proven.
result Each scalar-flat AC Kähler metric admits an expansion with a main term given by the standard Kähler metric of the metric cone and a leading error term of O(r^{2-2n}).

Let XX be a compact connected strongly pseudoconvex CR manifold of dimension 2n+1,n12n+1, n \ge 1 with a transversal CR S1S^1 action on XX. We establish an asymptotic expansion for the mm-th Fourier component of the Szegő kernel function as mm\rightarrow\infty, where the expansion involves a contribution in terms of a d…

2016-10-14abs ↗pdf ↗

We investigate the analogy between the large N expansion in normal matrix models and the asymptotic expansion of the determinant of the Hilb map, appearing in the study of critical metrics on complex manifolds via projective embeddings. This analogy helps to understand the geometric meaning of the expansion of matrix m…

2013-09-27abs ↗pdf ↗

Solutions near infinity to special Lagrangian equations are asymptotic to quadratic polynomials with logarithmic terms.

problem Solving special Lagrangian equations near infinity with specific conditions.
method Modified Kelvin transforms to characterize remainders in asymptotic expansions.
result Remainders in asymptotic expansions are characterized by a single smooth function in even dimensions and Cn1,αC^{n-1,α} in odd dimensions.

In the previous article we derived a detailed asymptotic expansion of the heat trace for the Laplace-Beltrami operator on functions on manifolds with conic singularities. In this article we investigate how the terms in the expansion reflect the geometry of the manifold. Since the general expansion contains a logarithmi…

2017-10-15abs ↗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 ↗

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…

2019-12-08abs ↗pdf ↗

Multivariate splines linked to infinitely-wide neural networks with improved numerical performance.

problem Understanding the relationship between multivariate splines and neural networks.
method Showed multivariate splines can be represented as random features in infinitely-wide neural networks with a homogeneous activation function.
result The function space of multivariate splines is a Sobolev space on a Euclidean ball with explicit norm bounds on derivatives.

Study on harmonic maps from surfaces to homogeneous spaces, focusing on bubble formation and geometric constraints.

problem Understanding the behavior of harmonic maps from surfaces to homogeneous spaces, especially in the presence of bubbles.
method Refined asymptotic expansions and obstruction relations for sequences developing a single bubble, geometric constraints for weakly conformal maps.
result New geometric constraints on the tangent planes of the limit map and bubble, depending on the dimensionality.

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.

We consider first order expansions of convex penalized estimators in high-dimensional regression problems with random designs. Our setting includes linear regression and logistic regression as special cases. For a given penalty function hh and the corresponding penalized estimator β^\hatβ, we construct a quantity ηη,…

2019-10-12abs ↗pdf ↗

Paper proves existence of ambient manifolds for null hypersurfaces solving Einstein equations.

problem Analyzing transverse expansion of metrics at null hypersurfaces.
method Covariant approach proving existence of ambient manifolds given asymptotic expansion and constraint equations.
result Existence of ambient manifolds solving Einstein equations to infinite order at null hypersurfaces.

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 ↗

Paper introduces a new method for efficient portfolio risk quantification.

problem Efficiently quantify risk in large portfolios with many trades and few dominant risk factors.
method Combines Fourier-cosine series with tensor decomposition techniques for dimension reduction.
result Achieves relative errors below 0.1% with significant runtime improvement.

Efficient method for high-dimensional American option pricing and hedging.

problem High-dimensional American option pricing and hedging.
method Gradient-enhanced sparse Hermite polynomial expansions combined with least squares Monte Carlo.
result Outperforms state-of-the-art methods in high dimensions with comparable computational cost.

Authors prove an asymptotic expansion for spectral zeta functions on discrete tori.

problem Proving an asymptotic expansion for spectral zeta functions on discrete tori.
method Inspired by Friedli and Karlsson's work, the authors derive an asymptotic expansion for the spectral zeta function on discrete tori.
result Similar asymptotic expansions hold for m=2 and higher dimensions, equivalent to the Epstein-Riemann conjecture.

New insights into black hole horizons from asymptotic expansions.

problem Understanding the geometry of black hole horizons.
method Proving the asymptotic expansion of spacetime metrics at non-degenerate Killing horizons.
result The full asymptotic expansion of smooth vacuum metrics at non-degenerate Killing horizons is determined by the horizon geometry.

Proves existence of Yamabe metrics on conical manifolds with conical points and links.

problem Existence of Yamabe metrics on singular manifolds with conical points and links.
method Derives a counterpart of Aubin's result, uses conical links and Fourier analysis, adds lower-order correction to standard bubbles.
result Derives asymptotic expansions on the Yamabe quotient for generic type metrics.

New method improves counterfactual distribution learning for high-dimensional outcomes.

problem Counterfactual distribution learning for high-dimensional outcomes with concentrated structure.
method Geometry-adaptive diffusion-guided smoothing estimators combining causal nuisance adjustment and local outcome geometry.
result Geometry-adaptive methods show steeper error decay in semi-synthetic experiments.

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

problem Analyzing transverse expansion of metric on null hypersurfaces.
method Covariant approach, general geometric identities, generalized symmetry generators.
result Transverse expansion of spacetime metric uniquely determined at non-degenerate Killing horizons.

We perform global and local analysis of oscillatory and damped spherically symmetric fundamental solutions for Helmholtz operators (Δ±β2)\big({-}Δ\pmβ^2\big) in dd-dimensional, RR-radius hyperbolic HRd{\mathbf H}_R^d and hyperspherical SRd{\mathbf S}_R^d geometry, which represent Riemannian manifolds with positive constant…

2018-03-19abs ↗pdf ↗

The study quantifies topological expansion properties of complexes and their embeddings.

problem Understanding topological expansion properties of simplicial complexes.
method Quantifying topological expansion through sublinear functions and proving monotonicity under regular maps.
result Proves topological expanders contain graphical expanders and gives lower bounds for specific embeddings.

Let XBX\to B be a proper flat morphism between smooth quasi-projective varieties of relative dimension nn, and LXL\to X a line bundle which is ample on the fibers. We establish formulas for the first two terms in the Knudsen-Mumford expansion for det(πLk)\det (π_* L^k) in terms of Deligne pairings of LL and the relative ca…

2006-12-19abs ↗pdf ↗

This article presents a new definition of Branson's Q-curvature in even-dimensional conformal geometry. We derive the Q-curvature as a coefficient in the asymptotic expansion of the formal solution of a boundary problem at infinity for the Laplacian in the Poincare metric associated to the conformal structure. This giv…

2001-10-24abs ↗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 ↗

Bayesian optimisation algorithm for unknown search spaces with sub-linear regret.

problem Efficient optimisation of expensive black-box functions in unknown search spaces.
method Expands search space over iterations based on a hyperharmonic series, scales to high dimensions.
result Sub-linear regret growth for both algorithms.

In high dimensions, the mean and geometric median are nearly identical.

problem Understanding the relationship between mean and geometric median in high-dimensional spaces.
method Analytical derivation and simulation of the distance between mean and geometric median.
result The distance between mean and geometric median vanishes with dimensionality in high dimensions.

Kernel methods have great promise for learning rich statistical representations of large modern datasets. However, compared to neural networks, kernel methods have been perceived as lacking in scalability and flexibility. We introduce a family of fast, flexible, lightly parametrized and general purpose kernel learning …

2014-12-19abs ↗pdf ↗

General Relativity in 4 dimensions can be equivalently described as a dynamical theory of SO(3)-connections rather than metrics. We introduce the notion of asymptotically hyperbolic connections, and work out an analog of the Fefferman-Graham expansion in the language of connections. As in the metric setup, one can solv…

2015-12-22abs ↗pdf ↗

The paper addresses the expansion of Berezinian and super exterior powers, revealing new insights into supertraces.

problem The breakdown of classical volume elements in supergeometric settings and the need for generalized forms.
method Introduces and analyzes rsr|s-forms, demonstrates the expansion of Ber(E+zA)\mathop{\mathrm{Ber}}(E + z A), and identifies supertraces.
result Intermediate expansions in annular regions encode supertraces of representations on vector spaces.