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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.

168,742 papers · 148 categories

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48 results for reduced module

Joyce observed that the Alexander invariant and the medial quandle of a classical knot are equivalent to each other, as invariants. In the present paper, we discuss the rather complicated extension of Joyce's observation to several different medial quandles and reduced (one-variable) Alexander modules associated with c…

2019-11-24abs ↗pdf ↗

Study on skein modules and character varieties of Seifert manifolds.

problem Characterizing and analyzing skein modules and character varieties of Seifert manifolds.
method Analyzing character varieties and skein modules of Seifert manifolds, computing dimensions and showing their equivalence.
result Finitely generated skein modules and reduced character varieties for certain Seifert manifolds.

Skein modules over 3-manifolds are shown to form line bundles.

problem Understanding the structure of skein modules over 3-manifolds.
method Using the Frobenius morphism, the skein module is mapped to a coherent sheaf over the SL2 character scheme.
result When the character scheme is reduced, the sheaf is a line bundle.

Extending ideas of Hedden-Ni, we show that the module structure on Khovanov homology detects split links. We also prove an analogue for untwisted Heegaard Floer homology of the branched double cover. Technical results proved along the way include two interpretations of the module structure on untwisted Heegaard Floer h…

2019-10-09abs ↗pdf ↗

Study meromorphic open-string vertex algebras and modules over Riemannian manifolds.

problem Characterize meromorphic open-string vertex algebras and their modules over Riemannian manifolds.
method Explicitly determine bases for meromorphic open-string vertex algebras and their modules, using parallel tensors and eigenfunctions of the Laplace-Beltrami operator.
result Every irreducible module of a specific type is completely reducible if every composition factor is generated by eigenfunctions of eigenvalue p(p1)Kp(p-1)K for some pZ+p\in \mathbb{Z}_+.

We calculate the Kauffman bracket skein module (KBSM) of the complement of all two-bridge links. For a two-bridge link, we show that the KBSM of its complement is free over the ring $\BC[t^{\pm 1}]$ and when reducing t=1t=-1, it is isomorphic to the ring of regular functions on the character variety of the link group.

2011-11-01abs ↗pdf ↗

The paper computes groups and modules for wheel graphs using Fibonacci and Chebyshev polynomials.

problem Computing groups and modules for wheel graphs.
method Utilized Fibonacci and Chebyshev polynomials to compute the Reduced Fox Coloring Group and Alexander-Burau-Fox Module.
result Computed groups and modules for wheel graphs using Fibonacci and Chebyshev polynomials.

Let (M,g)(M,g) be a pseudo-Riemannian manifold of signature (p,q)(p,q). We construct mutually quasi-inverse equivalences between the groupoid of bundles of weakly-faithful complex Clifford modules on (M,g)(M,g) and the groupoid of reduced complex Lipschitz structures on (M,g)(M,g). As an application, we show that (M,g)(M,g) admits a …

2017-11-21abs ↗pdf ↗

Develops a new deep learning framework for privacy-preserving text representations.

problem Privacy concerns in deep learning frameworks requiring data pooling to a trusted server.
method Three modules: embedding, randomization, and classifier. Novel LDP protocol reduces privacy impact on accuracy.
result Framework delivers comparable or better performance than non-private and existing LDP protocols.

KM method reduces ConvNet parameters to 9% higher accuracy with minimal additional memory.

problem Expensive memory usage for training ConvNets on embedded devices.
method Kernel Modulation (KM) method that adapts all network parameters for each task.
result KM delivers up to 9% higher accuracy than other parameter-efficient methods.

Dynamic information balancing reduces catastrophic forgetting in modular neural networks.

problem Catastrophic forgetting in neural networks when learning multiple tasks.
method Dynamic Information Balancing (DIB) using reinforcement learning to adaptively route inputs based on module information load.
result DIB combined with EWC regularization outperforms models with similar capacity and EWC regularization.

We generalize our previous work on categorification of Kauffman bracket skein module of surfaces, by extending our homology to tangles in cylinders over surfaces, F x [0,1]. Our homology of 0-tangles and 1-tangles in D^3 coincides (up to normalization) with Khovanov link homology and the reduced Khovanov link homology.…

2004-10-09abs ↗pdf ↗

Aramayona and Leininger have provided a "finite rigid subset" X(Σ)\mathfrak{X}(Σ) of the curve complex C(Σ)\mathscr{C}(Σ) of a surface Σ=ΣgnΣ= Σ^n_g, characterized by the fact that any simplicial injection X(Σ)C(Σ)\mathfrak{X}(Σ) \to \mathscr{C}(Σ) is induced by a unique element of the mapping class group Mod(Σ)\mathrm{Mod}(Σ). In this…

2013-11-29abs ↗pdf ↗

In this work, we investigate the feasibility and effectiveness of employing deep learning algorithms for automatic recognition of the modulation type of received wireless communication signals from subsampled data. Recent work considered a GNU radio-based data set that mimics the imperfections in a real wireless channe…

2019-01-16abs ↗pdf ↗

In arXiv:math/0508510, Rasmussen observed that the Khovanov-Rozansky homology of a link is a finitely generated module over the polynomial ring generated by the components of this link. In the current paper, we study the module structure of the middle HOMFLYPT homology, especially the Betti numbers of this module. For …

2017-03-21abs ↗pdf ↗

We give new obstructions to the module structures arising in Heegaard Floer homology. As a corollary, we characterize the possible modules arising as the Heegaard Floer homology of an integer homology sphere with one-dimensional reduced Floer homology. Up to absolute grading shifts, there are only two. We use this coro…

2015-06-16abs ↗pdf ↗

The paper shows the computation of the noncommutative generalization of the A-polynomial of the trefoil knot. The classical A-polynomial was introduced by Cooper, Culler, Gillet, Long and Shalen, and was generalized to the context of Kauffman bracket skein modules by the author in joint work with Frohman and Lofaro. A …

2000-04-25abs ↗pdf ↗

Study connects knot contact homology to Chern-Simons theory's large N limit.

problem Relate knot contact homology to Chern-Simons theory's large N limit.
method Prove conjecture linking augmentation varieties to Chern-Simons theory's large N limit; characterize HOMFLYPT difference module.
result Classical limit of HOMFLYPT difference module equals degree 0 abelianized knot contact homology.

TEAFormers preserve multi-dimensional time series structures for better forecasting.

problem Traditional Transformers flatten multi-dimensional time series data, losing critical multi-dimensional relationships.
method Tensor-Augmented Transformer (TEAFormer) with Tensor-Augmentation (TEA) module.
result Significant performance enhancements in time series forecasting across benchmarks.

Torsion objects of von Neumann categories describe the phenomen "spectrum near zero" discovered by S. Novikov and M. Shubin. In this paper we classify Hermitian forms on torsion objects of a finite von Neumann category. We prove that any such form can be represented as a discriminant form of a degenerate Hermitian form…

1999-03-23abs ↗pdf ↗

In this paper, we suggest a construction of determinant lines of finitely generated Hilbertian modules over finite von Neumann algebras. Nonzero elements of the determinant lines can be viewed as volume forms on the Hilbertian modules. Using this, we study both L2L^2 combinatorial and L2L^2 analytic torsion invariants …

1996-10-03abs ↗pdf ↗

Express Wavenet reduces neural network parameters to 1% of standard networks.

problem Optical neural networks with high parameter count.
method Wavelet modulation, random shift wavelets, expressway structure.
result Express Wavenet achieves high accuracy with significantly fewer parameters.

Sliced skein algebras and geometric Kauffman bracket study algebraic structures and their properties.

problem Study sliced skein algebras and their properties.
method Quotient of Kauffman bracket skein algebra, center calculation, PI-degree calculation, fully Azumaya point analysis.
result Center and PI-degree calculations for sliced skein algebras, fully Azumaya points, and simple modules.

In this short article we give a geometric meaning of the divisibility of KOKO-theoretical Euler classes for given two spin modules. We are motivated by Furuta's 10/8-inequality for a closed spin 44-manifold. The role of the reducibles is clarified in the monopole equations of Seiberg-Witten theory, as done by Donaldso…

2018-09-11abs ↗pdf ↗

The paper classifies symbols of differential operators on vector bundles.

problem Classifying symbols of linear differential operators on vector bundles.
method Associated tuples of linear operators to non-degenerate symbols and used C. Procesi's results to find rational invariants and equivalence criteria.
result Generators for rational invariants and a criterion for symbol equivalence.

We discuss ways that the ring of coefficients for a TQFT can be reduced if one restricts somewhat the allowed cobordisms. When we apply these methods to a TQFT associated to SO(3) at an odd prime p, we obtain a functor from a somewhat restricted cobordism category to the category of free finitely generated modules over…

2001-05-08abs ↗pdf ↗

The artificial neural network shows powerful ability of inference, but it is still criticized for lack of interpretability and prerequisite needs of big dataset. This paper proposes the Rule-embedded Neural Network (ReNN) to overcome the shortages. ReNN first makes local-based inferences to detect local patterns, and t…

2018-01-30abs ↗pdf ↗