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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.

169,341 papers · 148 categories

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48 results for symmetric chain complexes

Defines twisted Blanchfield pairings for chain complexes and proves their properties.

problem Defining and analyzing twisted Blanchfield pairings for chain complexes.
method Defines twisted Blanchfield pairings for symmetric triad of chain complexes over a group ring, proving sesquilinearity, hermitian, and nonsingularity under certain conditions.
result Proves the twisted Blanchfield pairing is sesquilinear, hermitian, and nonsingular under certain conditions.

Reduces identity testing of reversible Markov chains to simpler symmetric chain tests.

problem Testing identity of reversible Markov chains from a single trajectory.
method Using lumping-congruent Markov embeddings, the problem is simplified to testing symmetric chains over a larger state space.
result Achieves state-of-the-art sample complexity for identity testing.

New mapping class group actions on Hochschild complexes for modular categories.

problem Understanding actions of mapping class groups on Hochschild complexes of modular categories.
method Construction of a symmetric monoidal functor with excision property.
result Homotopy coherent projective action of mapping class groups on Hochschild complexes.

We define an algebraic group comprising symmetric chain complexes which captures the first two stages of the Cochran-Orr-Teichner solvable filtration of the knot concordance group in a single invariant. To achieve this we impose additional structure on each chain complex which puts extra control on the fundamental grou…

2012-03-20abs ↗pdf ↗

We define an algebraic group comprising symmetric chain complexes which captures the first two stages of the Cochran-Orr-Teichner solvable filtration of the knot concordance group in a single obstruction. To achieve this we impose additional structure on each chain complex which puts extra control on the fundamental gr…

2011-09-04abs ↗pdf ↗

We refine the Whitehead torsion of a chain equivalence of finite chain complexes in an additive category $\bA$ from an element of $\widetilde{K}^{iso}_1(\bA)$ to an element of the absolute group $K_1^{iso}(\bA)$. We apply this invariant to symmetric Poincaré complexes and identify it in terms of more traditional invari…

2005-02-16abs ↗pdf ↗

Constructs a support-preserving homotopy for differential forms with boundary decay estimates.

problem Non-uniqueness of chain homotopies in de Rham complexes with boundary decay properties.
method Constructs a specific chain homotopy with desirable support propagation and boundary decay estimates.
result Obtains a support-preserving right inverse of the divergence operator with optimal decay estimates.

The paper bounds generalization errors for deep neural networks with Markov datasets.

problem Bounding generalization errors for deep learning with Markov datasets.
method Developed new symmetrization inequalities for Markov chains, using spectral gap of the infinitesimal generator.
result Derived upper bounds on generalization errors for deep neural networks with Markov datasets.

Paper introduces a diagnostic for approximate inference methods.

problem Estimating errors in probabilistic inference algorithms, especially for approximate methods.
method Repeatedly simulate datasets from the prior and perform inference on each, estimating a symmetric KL-divergence.
result A diagnostic for approximate inference methods can be estimated using symmetric KL-divergence.

In this paper we present a new theory of calculus over kk-dimensional domains in a smooth nn-manifold, unifying the discrete, exterior, and continuum theories. The calculus begins at a single point and is extended to chains of finitely many points by linearity, or superposition. It converges to the smooth continuum w…

2006-01-09abs ↗pdf ↗

New method adds user constraints to Markov chains for better data reduction.

problem No systematic framework to impose user-defined constraints on Markov chains.
method Path entropy maximization to derive transition probabilities with user constraints.
result Improved nonlinear dimensionality reduction with user-prescribed constraints.

In this paper, we introduce the notion of Reidemeister torsion for quasi-isomorphisms of based chain complexes over a field. We call a chain map a quasi-isomorphism if its induced homomorphism between homology is an isomorphism. Our notion of torsion generalizes the torsion of acyclic based chain complexes, and is a ch…

2006-08-18abs ↗pdf ↗

Fix an integer N>1. To each diagram of a link colored by 1,...,N, we associate a chain complex of graded matrix factorizations. We prove that the homotopy type of this chain complex is invariant under Reidemeister moves. When every component of the link is colored by 1, this chain complex is isomorphic to the chain com…

2009-07-03abs ↗pdf ↗

We give a new proof of the Morse Homology Theorem by constructing a chain complex associated to a Morse-Bott-Smale function that reduces to the Morse-Smale-Witten chain complex when the function is Morse-Smale and to the chain complex of smooth singular NN-cube chains when the function is constant. We show that the ho…

2006-12-12abs ↗pdf ↗

Estimates covariance matrices using Markov chain Monte Carlo with improved sample complexity.

problem Complexity of covariance matrix estimation for Gibbs distributions.
method Uses Markov chain Monte Carlo with conditions on the chain's spectral gap and Poincaré inequality.
result Achieves similar sample complexity as i.i.d. samples with better query complexity.

Study nonparametric estimator for Markov chain transition matrices in offline setting.

problem Estimating transition matrices of finite controlled Markov chains from logged data.
method Developed sample complexity bounds and conditions for minimaxity.
result Achieving certain statistical risk requires balancing mixing properties and sample size.

Link Floer homology is split into snake complexes and local systems.

problem Classifying link Floer complexes over specific rings.
method Classifying isomorphism and chain homotopy equivalence classes of free chain complexes over a specific ring, then applying these results to link Floer complexes.
result Link Floer complexes split uniquely into snake complexes and local systems.

Let MM be a closed connected manifold, ff be a Morse map from MM to a circle, vv be a gradient-like vector field satisfying the transversality condition. The Novikov construction associates to these data a chain complex C=C(f,v)C_*=C_*(f,v). There is a chain homotopy equivalence between CC_* and completed simplicial cha…

2001-04-28abs ↗pdf ↗

Estimates Markov chain parameters from a single long sequence, analyzing complexity based on mixing properties.

problem Estimating parameters of a discrete-state Markov chain kernel from a single long sequence of observations.
method Characterizes minimax sample complexity in finite and countably infinite cases, focusing on mixing properties.
result Sample complexity is governed by mixing properties, with finite-sample estimators available for finite-state cases.

Review of sigma models on flag manifolds, linking to spin chains and integrable theories.

problem Understanding phase transitions and anomalies in spin chains and sigma models.
method Analyzing topological angles, discrete 't Hooft anomalies, and integrable models.
result Gapless phases in certain spin chains can be explained by discrete anomalies in continuum theories.

A new approach uses circuit topology to study complex polymer interactions.

problem Understanding structural phase transitions in entangled polymer systems.
method Braided circuit topology framework for multiple-chain systems.
result Circuit topological motif fractions are effective order parameters for structural transitions.

Study hypothesis testing for noisy Markov chain samples.

problem Hypothesis testing between two discrete distributions via noisy Markov chain samples.
method Derive instance-dependent minimax rates and analyze spectral properties of the Markov chain.
result Wide statistical window in sample complexity for different initial distributions.

Complete integrability proven for Poisson-Nijenhuis systems on compact hermitian symmetric spaces.

problem Proving complete integrability for a specific class of Poisson-Nijenhuis systems.
method Defined a class of Poisson-Nijenhuis systems on compact hermitian symmetric spaces, determined their spectrum, and introduced an abelian algebra of collective Hamiltonians.
result Proved complete integrability with respect to both Poisson structures.

A method for learning with autoregressive chain-of-thoughts.

problem Learning prompt-to-answer mappings from sequence-to-next-token generators.
method Iterating a fixed, time-invariant generator for multiple steps to generate a chain-of-thought, then taking the final token as the answer.
result Universal representability and computationally tractable chain-of-thought learning for a simple base class.

Let f:MRf:M \rightarrow \mathbb{R} be a Morse-Bott function on a finite dimensional closed smooth manifold MM. Choosing an appropriate Riemannian metric on MM and Morse-Smale functions fj:CjRf_j:C_j \rightarrow \mathbb{R} on the critical submanifolds CjC_j, one can construct a Morse chain complex whose boundary operator is…

2011-10-20abs ↗pdf ↗

We analyze a functor from cyclic operads to chain complexes first considered by Getzler and Kapranov and also Markl. This functor is a generalization of the graph homology considered by Kontsevich, which was defined for the three operads Comm, Assoc, and Lie. More specifically we show that these chain complexes have a …

2002-08-12abs ↗pdf ↗