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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.

168,742 papers · 148 categories

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48 results for Benjamini-Schramm convergence

It is shown that under mild conditions, Benjamini-Schramm convergence of lattices in locally compact groups is equivalent to spectral convergence. Next both notions are extended to the relative case and are then expressed in terms of relative L2-theory.

2018-05-18abs ↗pdf ↗

We study Betti numbers of sequences of Riemannian manifolds which Benjamini-Schramm converge to their universal covers. Using the Price inequalities we developed elsewhere, we derive two distinct convergence results. First, under a negative Ricci curvature assumption and no assumption on sign of the sectional curvature…

2019-09-12abs ↗pdf ↗

Random translation surfaces converge to a Poisson plane as genus grows.

problem Understanding the geometric behavior of high genus translation surfaces.
method Proving convergence of random translation surfaces to a Poisson plane using statistical local geometric properties.
result The radius-rr neighborhood of a random point in an MSV-distributed random translation surface converges in distribution to the radius rr neighborhood of the root in a Poisson translation plane.

Study on hyperbolic polyhedra and their volume, proving finiteness of arithmetic groups.

problem Finiteness of arithmetic maximal reflection groups in hyperbolic polyhedra.
method Observation of volume distribution and recent work with M. Fraczyk and S. Hurtado.
result Proof of finiteness of arithmetic maximal reflection groups.

We construct hyperbolic integer homology 3-spheres where the injectivity radius is arbitrarily large for nearly all points of the manifold. As a consequence, there exists a sequence of closed hyperbolic 3-manifolds which Benjamini-Schramm converge to H^3 whose normalized Ray-Singer analytic torsions do not converge to …

2013-04-01abs ↗pdf ↗

We study the convergence of volume-normalized Betti numbers in Benjamini-Schramm convergent sequences of non-positively curved manifolds with finite volume. In particular, we show that if XX is an irreducible symmetric space of noncompact type, XH3X \neq \mathbb H^3, and (Mn)(M_n) is any Benjamini-Schramm convergent sequ…

2018-11-06abs ↗pdf ↗

Quantum mixing for eigenfunctions on hyperbolic surfaces converging to the hyperbolic plane.

problem Mixing of quantum eigenfunctions on converging hyperbolic surfaces.
method Duhamel formula for hyperbolic wave equation, exponential mixing of geodesic flow.
result Quantum mixing for eigenfunctions in large spectral windows.

Random hyperbolic surfaces with punctures converge to the Brownian sphere.

problem Understanding the geometry of random hyperbolic surfaces with punctures.
method Rescaling and encoding via plane trees with continuous labels.
result Rescaled random hyperbolic surfaces converge to the Brownian sphere.

We prove that for certain sequences of hyperbolic three--manifolds with cusps which converge to hyperbolic three--space in a weak ("Benjamini-Schramm") sense and certain coefficient systems the regularized analytic torsion approximates the L2L^2-torsion of the universal cover under an additional hypothesis. We also pro…

2012-12-13abs ↗pdf ↗

We discuss the geometry of some arithmetic orbifolds locally isometric to a product of real hyperbolic spaces of dimension two and three, and prove that certain sequences of non-uniform orbifolds are convergent to this space in a geometric ("Benjamini--Schramm") sense for hyperbolic three--space and a product of hyperb…

2013-11-21abs ↗pdf ↗

The paper studies random covers of torus knot complements and their statistical properties.

problem Understanding the statistical behavior of finite covers of torus knot complements.
method Asymptotic subgroup growth analysis and Benjamini-Schramm limit theorems.
result Determination of the linear growth rate of Betti numbers for random covers of torus knot complements.

Linear upper bounds are provided for the size of the torsion homology of negatively curved manifolds of finite volume in all dimensions d3d\ne 3. This extends a classical theorem by Gromov. In dimension 33, as opposed to the Betti numbers, the size of torsion homology is unbounded in terms of the volume. Moreover, the…

2016-12-14abs ↗pdf ↗

We show that there exist hyperbolic knots in the 3-sphere such that the set of points of large injectivity radius in the complement take up the bulk of the volume. More precisely, given a finite volume hyperbolic manifold, for any bound R>0 on injectivity radius, consider the set of points with injectivity radius at le…

2016-10-25abs ↗pdf ↗

Random harmonic maps into spheres converge to a specific metric under strong convergence of representations.

problem Understanding the behavior of harmonic maps into spheres under representation convergence.
method Introduced renormalized energy and harmonic representatives, proving convergence to a rescaled hyperbolic metric.
result Renormalized energies and harmonic representatives converge to a specific metric under strong convergence of representations.

We introduce a spectrum of monotone coarse invariants for metric measure spaces called Poincaré profiles. The two extremes of this spectrum determine the growth of the space, and the separation profile as defined by Benjamini--Schramm--Timár. In this paper we focus on properties of the Poincaré profiles of groups with …

2017-07-07abs ↗pdf ↗

Randomly glued tetrahedra form connected 3-manifolds with a single boundary.

problem Understanding the properties of random three-manifolds formed by truncated tetrahedra.
method Asymptotic analysis of random glued manifolds, proving laws of large numbers, and bounding various topological and geometric properties.
result The random manifolds are connected, have a single boundary component, and admit a unique hyperbolic metric with a uniform spectral gap.

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.

This is an intuitive survey of extrinsic and intrinsic notions of convergence of manifolds complete with pictures of key examples and a discussion of the properties associated with each notion. We begin with a description of three extrinsic notions which have been applied to study sequences of submanifolds in Euclidean…

2010-06-02abs ↗pdf ↗

The abstract discusses convergence properties of Lipschitz functions and sets defined by equations.

problem Convergence of Lipschitz functions and sets defined by equations.
method Painlevé-Kuratowski convergence applied to Lipschitz functions and sets defined by equations.
result Generalizations and reverses of classical theorems on convergence of functions and sets.

Establishes geometric convergence of iterative optimization algorithms.

problem Analyzes convergence of iterative optimization algorithms under general assumptions.
method General framework for iterative optimization algorithms, proving asymptotic geometric convergence and providing convergence rates.
result Asymptotic geometric convergence of iterative optimization algorithms with exact rate.

New quasi-Newton method guarantees global superlinear convergence.

problem Global convergence and superlinear convergence of quasi-Newton methods.
method Hybrid proximal extragradient method with online learning for Hessian approximation.
result First globally convergent quasi-Newton method with explicit superlinear convergence rate.

We investigate finite-time decoupled convergence in nonlinear two-time-scale stochastic approximation.

problem Achieving decoupled convergence in nonlinear two-time-scale stochastic approximation.
method Nested local linearity assumption, suitable step size selection, convergence analysis of matrix cross term, fourth-order moment convergence rates.
result Finite-time decoupled convergence rates can be achieved in nonlinear two-time-scale stochastic approximation with proper step size selection.

The article introduces a new convergence concept for Lorentzian spaces and applies it to generalized cones.

problem Stability of curvature bounds in generalized Lorentzian cones.
method Introduces \ell-convergence for Lorentzian pre-length spaces, applies it to generalized cones, and proves stability of curvature bounds.
result Sharp timelike curvature and curvature-dimension bounds for generalized cones are established.

Study shows gap between uniform convergence and test error in random feature models.

problem Understanding the gap between uniform convergence and test error in random feature models.
method Analytical expressions for uniform convergence over norm balls, interpolators, and minimum norm interpolator risk derived and proved.
result Uniform convergence over interpolators still gives a non-trivial bound of test error even when classical uniform convergence is vacuous.

The paper examines convergence of distances in Lipschitz structures on manifolds.

problem Convergence of distances in Lipschitz vector fields and norms on manifolds.
method Analysis of convergence of distances associated to converging structures of Lipschitz vector fields and norms.
result Under mild controllability assumption, distances converge locally uniformly to the limit Carnot-Carathéodory distance.

New approach to geometric quantization for symplectic manifolds.

problem Quantization of symplectic manifolds with non-singular Lagrangian fibrations.
method Using spectral convergence of metric measure spaces, the authors develop a new geometric quantization approach.
result Spectral and quantum Hilbert space convergence results for Kähler and almost Kähler quantizations.

We introduce a natural definition of LpL^p-convergence of maps, p1p \ge 1, in the case where the domain is a convergent sequence of measured metric space with respect to the measured Gromov-Hausdorff topology and the target is a Gromov-Hausdorff convergent sequence. With the LpL^p-convergence, we establish a theory of …

2005-05-20abs ↗pdf ↗

DCDC calculates convergence rates for Markov chains using neural networks.

problem Computing precise convergence rates for Markov chains is hard.
method Developed a neural network-based algorithm (DCDC) to bound convergence rates in Wasserstein distance.
result Demonstrated effective convergence bounds for real-world Markov chains.

Study utility maximization with costs, proving convergence and strategies.

problem Utility maximization with proportional transaction costs.
method Extended weak convergence theory and Meyer--Zheng topology.
result Prove convergence of utility maximization problems and optimal trading strategies.