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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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1122 · Oct 202519922001200920172026
32 results for m-dependence

Homotopy equivalences of 3-manifolds have a bounded power.

problem Understanding the behavior of self-homotopy equivalences of 3-manifolds.
method Proving the existence of a constant AMA_M for every self-homotopy equivalence ff of a 3-manifold MM such that fkf^k is homotopic to a homeomorphism for some integer kk.
result There exists a constant AMA_M depending only on the manifold MM such that for every self-homotopy equivalence ff of MM, there is an integer kk with 1kAM1 \leq k \leq A_M for which fkf^k is homotopic to a homeomorphism.

We develop a coreset for robust geometric median, reducing size dependency on outliers.

problem Robust geometric median problem in Euclidean space with outliers.
method Construction of a compact coreset with size dependency on mm eliminated.
result Elimination of O(m)O(m) dependency in coreset size, achieving O(ε2min{ε2,d})O(\varepsilon^{-2} \cdot \min\{\varepsilon^{-2}, d\}) size.

Each Morita--Mumford--Miller (MMM) class e_n assigns to each genus g >= 2 surface bundle S_g -> E^{2n+2} -> M^{2n} an integer e_n^#(E -> M) := <e_n,[M]> in Z. We prove that when n is odd the number e_n^#(E -> M) depends only on the diffeomorphism type of E, not on g, M, or the map E -> M. More generally, we prove that …

2011-03-01abs ↗pdf ↗

We prove that for every P there is a bound B depending only on P so that the mapping torus of every P--small irreducible train-track map can be obtained by surgery from one of B mapping tori. We show that given an integer P>0 there is a bound MM depending only on P, so that there exists a presentation of the fundament…

2012-09-25abs ↗pdf ↗

We generalize the Toda lattice hierarchy by considering N+M dependent variables. We construct roots and logarithms of the Lax operator which are uniquely defined operators with coefficients that are εε-series of differential polynomials in the dependent variables, and we use them to provide a Lax pair definition of th…

2006-04-11abs ↗pdf ↗

Paper improves generalization bounds for multi-kernel learning with mixed datasets.

problem Improving generalization for multi-kernel learning with mixed Markov chain datasets.
method Developed novel generalization bounds with O(logm)O(\sqrt{\log m}) and O(1/n)O(1/\sqrt{n}) dependencies.
result Added terms compensate for dependency among samples in mixed datasets.

We study the conditions under which an almost Hermitian structure (G,J)(G,J) of general natural lift type on the cotangent bundle TMT^*M of a Riemannian manifold (M,g)(M,g) is K\" ahlerian. First, we obtain the algebraic conditions under which the manifold (TM,G,J)(T^*M,G,J) is almost Hermitian. Next we get the integrability condi…

2008-10-08abs ↗pdf ↗

We use some natural lifts defined on the cotangent bundle T*M of a Riemannian manifold (M,g) in order to construct an almost Hermitian structure (G,J) of diagonal type. The obtained almost complex structure J on T*M is integrable if and only if the base manifold has constant sectional curvature and the coefficients as …

2004-05-14abs ↗pdf ↗

We study the curve diffusion flow for closed curves immersed in the Minkowski plane M\mathcal{M}, which is equivalent to the Euclidean plane endowed with a closed, symmetric, convex curve called an indicatrix that scales the length of a vector in M\mathcal{M} depending on its length. The indiactrix $\partial\mathcal{…

2017-06-07abs ↗pdf ↗

A new Poisson bracket defined on Poisson structures with applications to fixed points and cohomology.

problem Defining a Poisson bracket on the space of Poisson structures.
method Constructing a Poisson bracket on P(M)\mathcal{P}(M) depending on a volume form, and defining invariant of Poisson structures.
result Invariant of Poisson structures detects unimodularity and related Poisson bracket for symplectic structures.

A new algorithm estimates mean under varying user data sizes with local differential privacy.

problem Mean estimation with user-level local differential privacy under varying data sizes.
method Distribution-aware mean estimation algorithm for users with varying data sizes.
result Upper and lower bounds on the worst-case risk for mean estimation are derived.

Proofs show finite subgroups of homeomorphism groups are almost nilpotent.

problem Finite subgroups of homeomorphism groups of compact topological manifolds.
method Finite group theoretic results provide a general strategy for proving Jordan-type theorems.
result Proof of the revised Ghys conjecture about nilpotent normal subgroups.

ALEXP improves model selection in linear bandits with exponential regret improvement.

problem Model selection in linear bandits is challenging due to balancing exploration and exploitation.
method ALEXP uses online learning with favorable bias-variance trade-off to emulate full-information feedback.
result ALEXP achieves an exponentially improved (logM\log M) regret dependence on the number of models MM.

The study constructs symplectic solvmanifolds satisfying the hard-Lefschetz condition.

problem Developing an analogue of Hodge theory for symplectic manifolds.
method Analyzing specific Lie algebras and their associated Lie groups, exploiting connections with Kneser graphs.
result Examples of almost-Kähler solvmanifolds satisfying the hard-Lefschetz condition are constructed.

Let MM be a compact hypersurface with boundary M=D1D2\partial M=\partial D_1 \cup \partial D_2, D1Π1\partial D_1 \subset Π_1, D2Π2\partial D_2 \subset Π_2, Π1Π_1 and Π2Π_2 two parallel hyperplanes in Rn+1\mathbb{R}^{n+1} (n2n \geq 2). Suppose that MM is contained in the slab determined by these hyperplanes and that the mean cu…

2016-01-12abs ↗pdf ↗

Study characteristic classes for manifold bundles, focusing on fiber families.

problem Understanding characteristic classes for families of bundles.
method Construction of relative Sullivan models and explicit cocycle representatives for characteristic classes.
result Tools for computing the rational cohomology ring of Baut(ξ)Baut(ξ) and subring of generalized Miller-Morita-Mumford classes.

Embed-KCPD segments text without labels, outperforming baselines.

problem Unsupervised text segmentation is challenging due to lack of boundary labels.
method Embed-KCPD represents sentences as embeddings and estimates boundaries via penalized KCPD.
result Embed-KCPD outperforms strong unsupervised baselines across benchmarks.

Paper generalizes Gaussian universality and CGMT to dependent data, impacting data augmentation in high-dimensional logistic regression.

problem Limitation of Gaussian universality and CGMT in handling dependent data.
method Generalizes Gaussian universality and CGMT to dependent data (block dependence, m-dependence, mixing). Establishes a novel CGMT framework.
result Gaussian universality holds for high-dimensional logistic regression under various types of dependence.

The paper studies how knots and links behave under connected sum operations.

problem How isotopy classes of knots and links change under connected sum operations.
method Defined a new link σf and used it to analyze the behavior of knots and links under connected sum.
result The isotopy class of σf depends on the original link f, providing new insights into higher-dimensional link theory.

We prove a new version of isoperimetric inequality: Given a positive real mm, a Banach space BB, a closed subset YY of metric space XX and a continuous map f:YBf:Y \rightarrow B with f(Y)f(Y) compact infFHCm+1(F(X))c(m)HCm(f(Y))m+1m,\inf_FHC_{m+1}(F(X))\leq c(m)HC_m(f(Y))^{\frac{m+1}{m}}, where HCmHC_m denotes the mm-dimensional Hausdorff content,…

2019-05-16abs ↗pdf ↗

We prove that if MM is a CW-complex and M1M^1 is its 1-skeleton then the crossed module Π2(M,M1)Π_2(M,M^1) depends only on the homotopy type of MM as a space, up to free products, in the category of crossed modules, with Π2(D2,S1)Π_2(D^2,S^1). From this it follows that, if GG is a finite crossed module and MM is finite, then th…

2008-01-25abs ↗pdf ↗

To better understand the spatial structure of large panels of economic and financial time series and provide a guideline for constructing semiparametric models, this paper first considers estimating a large spatial covariance matrix of the generalized mm-dependent and ββ-mixing time series (with JJ variables and TT

2011-06-20abs ↗pdf ↗

A new method for estimating joint value functions in multi-scene reinforcement learning.

problem High variance in samples for policy gradient computations in multi-scene environments.
method Sparse attention mechanism over multiple value function hypotheses to approximate the true joint value function.
result Significant improvements in reward scores and enhanced navigation efficiency across OpenAI ProcGen environments.

Let MnM_n be the topological moduli space of all parallel n-cables of long framed oriented knots in 3-space. We construct in a combinatorial way for each natural number n>1n>1 a 1-cocycle RnR_n which represents a non trivial class in H1(Mn;Z[x1,x2,...,x11,x21,...])H^1(M_n; \mathbb{Z} [x_1,x_2,...,x_1^{-1},x_2^{-1},...]), where the number of variabl…

2017-09-28abs ↗pdf ↗

New guarantees for uniquely identifying transport maps and vector fields from finite measure-valued data.

problem Unique recovery of transport maps and vector fields from finite measure-valued data.
method Use of Whitney and Takens embedding theorems to establish conditions for unique identification.
result New metric for comparing diffeomorphisms and analogous results in infinitesimal settings.