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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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3570104139 · Jun 202019922001200920172026
48 results for maximal

Study finds Hilbert square of real surfaces can be maximal even when the surface has disconnected real locus.

problem Exploring conditions for maximality of Hilbert square of real surfaces.
method Analyzing Hilbert square of maximal real surfaces and examining specific examples.
result Hilbert square can be maximal even for surfaces with disconnected real locus.

Study examines maximal domains of radial harmonic functions across different curvature types.

problem Understanding maximal domains of radial harmonic functions in various curvature settings.
method Analysis of harmonic spaces with positive, zero, and negative curvature.
result Characterization of maximal domains for radial harmonic functions in different curvature contexts.

We shall investigate maximal surfaces in Minkowski 3-space with singularities. Although the plane is the only complete maximal surface without singular points, there are many other complete maximal surfaces with singularities and we show that they satisfy an Osserman-type inequality.

2003-07-23abs ↗pdf ↗

The paper explores reflection principles for lightlike line segments on maximal surfaces.

problem Reflection property does not hold for lightlike line segments on maximal surfaces.
method Analyzes reflection properties for lightlike line segments connecting shrinking singularities.
result Shows a kind of reflection principle for lightlike line segments on maximal surfaces.

The study finds that maximizing median returns is the only viable strategy in portfolio selection.

problem Difficulties in studying optimal portfolio strategies due to discontinuity and time inconsistency in maximizing median and quantile returns.
method Used intra-personal equilibrium approach to analyze portfolio selection under median and quantile maximization.
result Median maximization is the only viable strategy, with no investment in risky assets for other quantiles.

Study of large group actions on surfaces, focusing on Hurwitz and handlebody groups.

problem Characterizing and understanding group actions on surfaces, especially maximal handlebody and Hurwitz groups.
method Analyzing various group actions, comparing Hurwitz and handlebody groups, and examining bounding actions.
result Relationship between Hurwitz groups and maximal handlebody groups, and insights into geometric bounding actions.

We study homologically maximizing timelike geodesics in conformally flat tori. A causal geodesic γγ in such a torus is said to be homologically maximizing if one (hence every) lift of γγ to the universal cover is arclength maximizing. First we prove a compactness result for homologically maximizing timelike geodesics…

2010-03-11abs ↗pdf ↗

New guarantees for adaptive combinatorial maximization with various objectives.

problem Maximizing under cardinality constraints and minimum cost coverage in adaptive settings.
method Bayesian approach with comprehensive approximation guarantees for various utility functions.
result Maximal gain ratio is a new parameter that provides stronger approximation guarantees than greedy policies.

Fast algorithms developed for adaptive and fully adaptive submodular maximization problems.

problem Maximizing submodular functions subject to constraints in linear time.
method Developed linear-time algorithms for two submodular maximization problems: adaptive and fully adaptive.
result Achieved (11/eε)(1-1/e-ε) approximation ratio for adaptive submodular maximization and $ rac{1-1/e-ε}{4-2/e-2ε}$ for fully adaptive submodular maximization.

We show that a positive braid knot has maximal topological 4-genus exactly if it has maximal signature invariant. As an application, we determine all positive braid knots with maximal topological 4-genus and compute the topological 4-genus for all positive braid knots with up to 12 crossings.

2015-11-12abs ↗pdf ↗

The geometry and topology of complete nonorientable maximal surfaces with lightlike singularities in the Lorentz-Minkowski 3-space are studied. Some topological congruence formulae for surfaces of this kind are obtained. As a consequence, some existence and uniqueness results for maximal Moebius strips and maximal Klei…

2009-05-13abs ↗pdf ↗

Differentially private algorithms for submodular maximization under various constraints.

problem Maximizing decomposable submodular functions under constraints while preserving privacy.
method Designing differentially private algorithms for both monotone and non-monotone decomposable submodular maximization under general matroid constraints.
result Improved utility guarantees and competitive performance compared to non-private algorithms.

Maximal and Borel Anosov representations in Sp(4,R)Sp(4,\mathbb{R}) are proven to be Hitchin.

problem Characterizing representations of surface groups into Sp(4,R)Sp(4,\mathbb{R}) that are Borel Anosov and maximal.
method Proving representations are Hitchin if they have maximal Toledo invariant and are Borel Anosov.
result Maximal and Borel Anosov representations in Sp(4,R)Sp(4,\mathbb{R}) are Hitchin.

The study finds a metric that maximizes the second eigenvalue of the Conformal Laplacian.

problem Maximizing the second eigenvalue of the Conformal Laplacian over conformal metrics.
method Analyzes properties of the Conformal Laplacian and constructs metrics to maximize eigenvalues.
result Existence of a metric that maximizes the second eigenvalue of the Conformal Laplacian.

The ultimate goal of a supervised learning algorithm is to produce models constructed on the training data that can generalize well to new examples. In classification, functional margin maximization -- correctly classifying as many training examples as possible with maximal confidence --has been known to construct mode…

2020-01-28abs ↗pdf ↗

Local equivalence found between maximally symmetric rolling and flat Cartan distributions.

problem Establishing local equivalence between maximally symmetric rolling and flat Cartan distributions.
method Using complex parametrisation of su(2), a change of coordinates maps the maximally symmetric rolling (2,3,5)(2,3,5)-distribution to the flat Cartan distribution.
result Local equivalence between maximally symmetric rolling and flat Cartan distributions established.

This paper improves tail dependence analysis by introducing a path-based approach.

problem The classical tail dependence coefficient fails to capture non-exchangeable features of tail dependence.
method The paper introduces a path-based maximal tail dependence approach to capture the most pronounced feature of dependence over all possible paths.
result The paper proves the existence and provides an explicit characterization of the path-based maximal TDC, improving analytical and computational tractability.

Study maximal hypersurfaces in open spacetimes using a maximum principle.

problem Characterize maximal hypersurfaces in open spacetimes.
method Use a generalized maximum principle to analyze hypersurfaces in spatially open Generalized Robertson-Walker spacetimes.
result Provide new uniqueness and non-existence results for complete maximal hypersurfaces in open Robertson-Walker spacetimes.

Researchers classify complete maximal submanifolds in pseudo-hyperbolic space.

problem Classifying complete maximal submanifolds in pseudo-hyperbolic space.
method Full classification through mathematical analysis.
result A complete classification of complete maximal pp-dimensional spacelike submanifolds in Hp,q\mathbf{H}^{p,q}.

In this paper, we use replica analysis to determine the investment strategy that can maximize the net present value for portfolios containing multiple development projects. Replica analysis was developed in statistical mechanical informatics and econophysics to evaluate disordered systems, and here we use it to formula…

2018-10-15abs ↗pdf ↗

Kernel methods linked to feature subspaces and maximal correlation kernels.

problem Understanding kernel methods and their relationship to feature extraction.
method Established a correspondence between feature subspaces and kernels, introduced maximal correlation kernels, and demonstrated their optimality.
result Kernel SVM on maximal correlation kernel achieves minimum prediction error.

Let F\mathbb F be a real closed field. We define the notion of a maximal framing for a representation of the fundamental group of a surface with values in Sp(2n,F){\rm Sp}(2n,\mathbb F). We show that ultralimits of maximal representations in Sp(2n,R){\rm Sp}(2n,\mathbb R) admit such a framing, and that all maximal framed represen…

2015-09-03abs ↗pdf ↗

A geometric framework for metrics of maximal acceleration which is applicable to large proper accelerations is discussed, including a theory of connections associated with the geometry of maximal acceleration. In such a framework it is shown that the uniform bound on the proper maximal acceleration implies an uniform b…

2019-06-28abs ↗pdf ↗

This paper proves a new, more precise version of Cheng's maximal diameter theorem for manifolds with positive Ricci curvature.

problem Proving a more precise version of Cheng's maximal diameter theorem for manifolds with positive Ricci curvature.
method Using a combination of Ricci curvature bounds and Riemannian universal cover properties to establish a quantitative rigidity result.
result If a manifold has positive Ricci curvature and a diameter close to the maximal possible, it is diffeomorphic and bi-Hölder close to the sphere.