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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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25.0%50.0%75.0%100.0% · Jun 199319922001200920172026
48 results for direct limits

This paper is devoted to the framework of direct limit of anchored Banach bundles over a convenient manifold which is a direct limit of Banach manifold. In particular we give a criterion of integrability for distributions on such convenient manifolds which are locally direct limits of particular sequences of Banach anc…

2014-08-16abs ↗pdf ↗

We study direct limits (G,K)=lim(Gn,Kn)(G,K) = \varinjlim (G_n,K_n) of compact Gelfand pairs. First, we develop a criterion for a direct limit representation to be a multiplicity--free discrete direct sum of irreducible representations. Then we look at direct limits G/K=limGn/KnG/K = \varinjlim G_n/K_n of compact riemannian symmetric spaces, …

2008-01-25abs ↗pdf ↗

If G1,...,GnG_1,...,G_n are limit groups and SG1×...×GnS\subset G_1\times...\times G_n is of type $\FP_n(\mathbb Q)$ then SS contains a subgroup of finite index that is itself a direct product of at most nn limit groups. This settles a question of Sela.

2007-04-30abs ↗pdf ↗

Paper confirms Thom's conjecture for nonlinear evolutions on manifolds.

problem Thom's gradient conjecture for nonlinear evolution equations.
method Extending and settling the conjecture in infinite dimensional problems using Łojasiewicz, L. Simon, and Kurdyka-Mostowski-Parusinski's foundational works.
result Uniqueness of the limiting direction and characterization of convergence rates for both classical and infinite dimensional settings.

We study direct limits (G,K)=lim(Gn,Kn)(G,K) = \varinjlim (G_n,K_n) of Gelfand pairs of the form Gn=NnKnG_n = N_n\rtimes K_n with NnN_n nilpotent, in other words pairs (Gn,Kn)(G_n,K_n) for which Gn/KnG_n/K_n is a commutative nilmanifold. First, we extend the criterion of \cite{W3} for a direct limit representation to be multiplicity free. Then w…

2008-01-25abs ↗pdf ↗

New stochastic gradient descent with random search directions improves efficiency and convergence.

problem Efficiency and convergence of stochastic gradient descent methods.
method Developed a new class of stochastic gradient descent algorithms with random search directions.
result Established almost sure convergence and provided Lp\mathbb{L}^p rates of convergence.

We analyze the information-theoretic limits for the recovery of node labels in several network models. This includes the Stochastic Block Model, the Exponential Random Graph Model, the Latent Space Model, the Directed Preferential Attachment Model, and the Directed Small-world Model. For the Stochastic Block Model, the…

2018-02-16abs ↗pdf ↗

Novel algorithm for decentralized optimization in time-varying networks with delays.

problem Decentralized optimization in networks with communication delays.
method DT-GO algorithm, applicable to general directed graphs, converges to same complexity as centralized SGD.
result Algorithm DT-GO achieves convergence rates for convex and non-convex objectives, similar to centralized SGD.

Study relaxes identification assumptions for natural direct effects in non-randomized settings.

problem Identifying causal direct effects under unmeasured confounding.
method Developed relaxed conditions for identifying natural direct effects in non-randomized settings.
result Identified natural direct effect under unmeasured confounding conditions.

Study on mapping class groups of non-orientable surfaces, proving some conjectures and refuting others.

problem Analogies between Fuchsian groups and mapping class groups of non-orientable surfaces.
method Analyzing limit sets, foliations, and geometric properties.
result Established parts of a conjecture about the limit set and provided evidence for and against the analogy.

We prove that iterated spaces of directions of a limit of a noncollapsing sequence of manifolds with lower curvature bound are topologically spheres. As an application we show that for any finite dimensional Alexandrov space XnX^n with n5n\ge 5 there exists an Alexandrov space YY homeomorphic to XX which can not be o…

2001-09-11abs ↗pdf ↗

Veech groups uniformize Teichmüller geodesic curves in Riemann moduli space. Recently, examples of infinitely generated Veech groups have been given. We show that these can even have infinitely many cusps and infinitely many infinite ends. We further show that examples exist for which each direction of an infinite end …

2004-10-06abs ↗pdf ↗

The paper generalizes the Hausdorff dimension of limit sets for self-joinings of hyperbolic groups.

problem Calculating the Hausdorff dimension of limit sets for self-joinings of hyperbolic groups.
method The paper generalizes a classical result by considering self-joinings of convex cocompact groups and proving new inequalities for the Hausdorff dimension of directional limit sets.
result For k3k \leq 3, the paper establishes bounds on the Hausdorff dimension of directional limit sets for self-joinings of convex cocompact groups.

The Atiyah conjecture predicts that the L2-Betti numbers of a finite CW-complex with torsion-free fundamental group are integers. We show that the Atiyah conjecture holds (with an additional technical condition) for direct and inverse limits of directed systems of groups for which it is true. As a corollary it holds fo…

2000-01-18abs ↗pdf ↗

Direct proof of Alexander polynomial scaling for L-shaped representations.

problem Proving scaling property of Alexander polynomials for specific representations.
method Direct use of Reshetikhin-Turaev formalism to compute R-matrices.
result Normalized Alexander polynomial for one-hook representations scales with qRq^{|R|}.

Study uses deep learning to predict asset prices, finds complex target processes lead to meaningless predictions.

problem Complexity of successful price prediction models hinders understanding.
method Deep learning models for high-frequency price prediction, focusing on volatility and directional prediction.
result Inadequately defined target price process renders predictions meaningless.

We use adiabatic limits to study foliated manifolds. The Bott connection naturally shows up as the adiabatic limit of Levi-Civita connections. As an application, we then construct certain natural elliptic operators associated to the foliation and present a direct geometric proof of a vanshing theorem of Connes[Co], whi…

1999-12-29abs ↗pdf ↗

This paper deals with Prym eigenforms which are introduced previously by McMullen. We prove several results on the directional flow on those surfaces, related to complete periodicity (introduced by Calta). More precisely we show that any homological direction is algebraically periodic, and any direction of a regular cl…

2013-01-04abs ↗pdf ↗

Graph autoencoders (AE) and variational autoencoders (VAE) recently emerged as powerful node embedding methods. In particular, graph AE and VAE were successfully leveraged to tackle the challenging link prediction problem, aiming at figuring out whether some pairs of nodes from a graph are connected by unobserved edges…

2019-05-23abs ↗pdf ↗

Fix a translation surface XX, and consider the measures on XX coming from averaging the uniform measures on all the saddle connections of length at most RR. Then as RR\to\infty, the weak limit of these measures exists and is equal to the Lebesgue measure on XX. We also show that any weak limit of a subsequence of …

2017-05-30abs ↗pdf ↗

Analyzes SGD dynamics in two-layer networks, bridging different regimes.

problem Understanding SGD dynamics in high-dimensional and mean-field settings.
method Rigorous analysis via deterministic low-dimensional description of sufficient statistics.
result Infinite-width dynamics remains close to a low-dimensional subspace.

We study local (n+1n+1)-webs of codimension 1 on a manifold of dimension n.n. We give a complete description of their possible Lie algebras of infinitesimal diffeomorphisms. More precisely we show that these Lie algebras are direct products of sub-algebras which are isomorphic to sl(2),\frak{sl}(2), to the non-commutative 2…

2017-01-19abs ↗pdf ↗

DPA aligns LLMs with multi-objective rewards for diverse user preferences.

problem Fine-grained control over LLMs for diverse user needs.
method Integrates multi-objective reward modeling and directional preference control.
result DPA offers better performance trade-offs and intuitive user control over LLM generation.

We discuss asymptotic behavior of the eigenvalue distribution of the differential form Laplacian on a Riemannian foliated manifold when the metric on the ambient manifold is blown up in directions normal to the leaves (in the adiabatic limit). Motivated by analogies with semiclassical spectral asymptotics, we use ideas…

2010-06-25abs ↗pdf ↗

A new method for identifying causal directions in complex systems.

problem Identifying causal relationships in nonlinear systems with limited data.
method Sequential edge orientation approach using pairwise additive noise model.
result The method can recover true causal DAGs under nonlinear additive noise models.

Study on nodal components of random band-limited functions on surfaces, finding a universal law.

problem Distribution of tangencies of nodal components to a vector field on surfaces.
method Analysis of random band-limited functions on smooth compact Riemannian surfaces with vector fields.
result The distribution of tangencies to a vector field on nodal components of random band-limited functions on surfaces follows a universal deterministic law.