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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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67135202269 · May 202619922001200920172026
48 results for analytic vs smooth

The study examines flat S1-bundles and their homology groups, focusing on analytic vs smooth conditions.

problem Analyzing the vanishing of the rational Euler class in real analytic flat S1-bundles.
method Using Thurston's theorem and Haefliger's classifying space, the study investigates the homology groups of Diff+δ⁺S1.
result If the rational Euler class vanishes for real analytic flat S1-bundles, it implies the presence of specific torsion classes in Diffω,δ⁺S1.

We study submetries between Alexandrov spaces and show how some of the usual features of Riemannian submersions fail due to the lack of smoothness.

2009-09-25abs ↗pdf ↗

We consider differentiable maps in the setting of Abstract Differential Geometry and we study the conditions that ensure the uniqueness of differentials in this setting. In particular, we prove that smooth maps between smooth manifolds admit a unique differential, coinciding with the usual one. Thus smooth manifolds fo…

2013-11-25abs ↗pdf ↗

We establish a relation between smooth 2-functors defined on the path 2-groupoid of a smooth manifold and differential forms on this manifold. This relation can be understood as a part of a dictionary between fundamental notions from category theory and differential geometry. We show that smooth 2-functors appear in se…

2008-02-05abs ↗pdf ↗

We begin by showing that every real analytic orbifold has a real analytic Riemannian metric. It follows that every reduced real analytic orbifold can be expressed as a quotient of a real analytic manifold by a real analytic almost free action of a compact Lie group. We then extend a well-known result of Nomizu and Ozek…

2012-11-28abs ↗pdf ↗

Call a smooth knot (or smooth link) in the unit sphere in C2\mathbb{C}^2 analytic (respectively, smoothly analytic) if it bounds a complex curve (respectively, a smooth complex curve) in the complex ball. Let KK be a smoothly analytic knot. For a small tubular neighbourhood of KK we give a sharp lower bound for the 4…

2015-04-24abs ↗pdf ↗

This paper introduces TDA and TSI for better business analytics.

problem Nonlinear, multi-scale business datasets under-represented by traditional tools.
method Topological Data Analysis (TDA) and Topological Stability Index (TSI).
result TSI reveals structural variability in business data.

The paper examines statistical properties of IL and LVR in automated market makers.

problem Assessing the performance of automated market makers and their profitability.
method Analysis of random walk properties and statistical integral combined with CFMM mechanics.
result IL and LVR have identical expectation values but different distribution functions for Brownian motion.

Smooth fractal trees via analytic generators, preserving combinatorial and geometric properties.

problem Constructing smooth fractal trees from discrete models.
method Using analytic generator fields to integrate smooth vector fields in an internal state space, generating geometric curves as projections of generator trajectories.
result Analytic generators can represent any discrete tree specification and preserve the asymptotic limit geometry.

We provide tight upper and lower bounds on the complexity of minimizing the average of mm convex functions using gradient and prox oracles of the component functions. We show a significant gap between the complexity of deterministic vs randomized optimization. For smooth functions, we show that accelerated gradient de…

2016-05-25abs ↗pdf ↗

Analytic functions on specific domains are characterized by their smoothness and composites with polynomial curves.

problem Characterizing real analytic functions on closed subanalytic domains.
method Analyzing functions defined on closed uniformly polynomially cuspidal sets in Rn\mathbb{R}^n using composites with polynomial curves.
result Conditions for a function to be real analytic are effectively related to the regularity of the boundary of the domain.

Generalizes Poincaré-Hopf Theorem for piecewise smooth boundaries.

problem Conservation law for vector fields on surfaces with piecewise smooth boundaries.
method Generalization of the Poincaré-Hopf Theorem for real-analytic vector fields on surfaces with piecewise smooth boundaries.
result Conservation law for vector fields on surfaces with piecewise smooth boundaries.

Let NN be a Riemannian manifold and consider a stationary union of three or more C1,μC^{1,μ} hypersurfaces-with-boundary MkM_k in NN with a common boundary ΓΓ. We show that if NN is smooth, then ΓΓ is smooth and each MkM_k is smooth up to ΓΓ (real analytic in the case NN is real analytic). Consequently we strength…

2013-09-24abs ↗pdf ↗

New method renormalizes neural network Gaussian processes to identify learnable vs. unlearnable modes.

problem Separating learnable from unlearnable information in neural networks.
method Wilsonian renormalization applied to Gaussian Process Regression.
result Obtains a universal flow of the ridge parameter that becomes input-dependent.

New bound on partition function proves Kähler-Einstein stability.

problem Proving Kähler-Einstein metrics on complex manifolds.
method Quantitative bound on partition function, connecting probabilistic and quantization approaches.
result Direct analytic proof of Kähler-Einstein stability for uniformly Gibbs stable manifolds.

Study shows how learning and analytical models affect reneging and jockeying in a dual M/M/1 system.

problem How do learning and analytical models affect reneging and jockeying in a dual M/M/1 system?
method Analytical and online trained actor-critic models were used to study reneging and jockeying in a dual M/M/1 system.
result Both analytical and online trained actor-critic models yield the same asymptotic limits for reneging and jockeying, but differ in practical sizes.

Input-dependent smoothing mitigates classical issues but suffers from the curse of dimensionality.

problem Certifiably robust classifiers with input-dependent smoothing suffer from the curse of dimensionality.
method Proposed a theoretical and practical framework for input-dependent smoothing under strict restrictions.
result Input-dependent smoothing mitigates some classical issues but is limited by the curse of dimensionality.

We construct examples of CC^\infty smooth submanifolds in Cn{\Bbb C}^n and Rn{\Bbb R}^n of codimension 2 and 1, which intersect every complex, respectively real, analytic curve in a discrete set. The examples are realized either as compact tori or as properly imbedded Euclidean spaces, and are the graphs of quasianaly…

2004-02-23abs ↗pdf ↗

We extend the holomorphic analytic torsion classes of Bismut and Köhler to arbitrary projective morphisms between smooth algebraic complex varieties. To this end, we propose an axiomatic definition and give a classification of the theories of generalized holomorphic analytic torsion classes for arbitrary projective mor…

2010-11-16abs ↗pdf ↗

Automatic summarization of natural language is a current topic in computer science research and industry, studied for decades because of its usefulness across multiple domains. For example, summarization is necessary to create reviews such as this one. Research and applications have achieved some success in extractive …

2018-12-18abs ↗pdf ↗

Anomaly term vanishes for smooth conical spaces, non-trivial for cones over tori.

problem Analyzing anomaly terms in spaces with conical singularities.
method Proof of vanishing anomaly term for smooth conical spaces; demonstration of non-triviality for cones over tori.
result Anomaly term vanishes for smooth conical spaces, non-trivial for cones over tori.