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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.

169,042 papers · 148 categories

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133267400533 · Jun 202019922001200920172026
48 results for linear algebra operators

Conditions for exponentiating Lie algebras on complete locally convex spaces are established.

problem Conditions for exponentiating Lie algebras of linear operators on complete locally convex spaces.
method Focus on equicontinuous case, establishing necessary conditions for exponentiation to compact Lie groups.
result Necessary conditions for exponentiation to compact Lie groups are established.

Study Nijenhuis operators and their linearization problem using left-symmetric algebras.

problem Linearization of Nijenhuis operators.
method Study points of scalar type, use left-symmetric algebras, classify 2D algebras.
result Complete classification of 2D real left-symmetric algebras.

CoLA automates efficient numerical linear algebra for complex matrix structures.

problem Efficiently solving large-scale linear algebra problems with complex matrix structures.
method Combining linear operator abstraction with compositional dispatch rules.
result Automatic and efficient numerical algorithms for various linear algebra operations.

The paper characterizes vector bundles and differential operators using Lie algebras and their symbols.

problem Characterizing vector bundles and differential operators using algebraic methods.
method Lie-algebraic characterization of vector bundles and differential operators.
result The Lie algebras P(E,M)\mathcal{P}(E,M) and S(P(E,M))\mathcal{S}(\mathcal{P}(E,M)) characterize vector bundles and their smooth sections.

Solves a challenging case of Nijenhuis operator linearization in 2D.

problem Linearization of Nijenhuis operators around a point of scalar type in 2D.
method Analyzes left-symmetric algebra \(\mathfrak{b}_{1, \alpha}\) and relates it to vector field linearization.
result Completes the solution of the linearization problem for Nijenhuis operators in 2D.

Classifies 3D non-degenerate left-symmetric algebras.

problem Classifying left-symmetric algebras in 3D.
method Using Nijenhuis geometry and algebraic independence of coefficients in characteristic polynomial.
result Classification of differentially non-degenerate LSA in dimension 3.

This paper uses supervised learning to predict optimal chunk-size for parallel linear algebra operations.

problem Finding the optimal chunk-size for parallel linear algebra operations.
method The paper uses supervised learning models (logistic regression, neural networks, decision trees) to predict the optimal chunk-size for multiple linear algebra operations.
result The custom decision tree model outperforms classical decision trees and other models in predicting optimal chunk-size for linear algebra operations.

Results on characterization of manifolds in terms of certain Lie algebras growing on them, especially Lie algebras of differential operators, are reviewed and extended. In particular, we prove that a smooth (real-analytic, Stein) manifold is characterized by the corresponding Lie algebra of linear differential operator…

2003-10-14abs ↗pdf ↗

Let ΔΔ be a linear differential operator acting on the space of densities of a given weight $\lo$ on a manifold MM. One can consider a pencil of operators $\hPi(Δ)=\{Δ_ł\}$ passing through the operator ΔΔ such that any ΔłΔ_ł is a linear differential operator acting on densities of weight łł. This pencil can be iden…

2013-01-28abs ↗pdf ↗

We relate canonical algebraic curvature tensors that are built from a self-adjoint (RASR^S_A) or skew adjoint (RAΛR^Λ_A) linear operator A. Several authors have proven that any algebraic curvature tensor RR may be expressed as a sum of RASR^S_A, or as a sum of RAΛR^Λ_A. This motivates our interest in relating them as well…

2015-10-09abs ↗pdf ↗

Defines a new algebra for singular foliations, extending Schwartz kernels.

problem Extending Schwartz kernel operators to singular foliations.
method Defines convolution algebra of transverse distributions, proves representation as operators on spaces of functions.
result Generalizes Schwartz kernel operators to singular foliations.

The paper makes inference methods available for Gaussian models with banded precision.

problem Efficient inference for Gaussian models with banded precision.
method Develops linear algebra operators for banded matrices within automatic differentiation frameworks.
result The operators enable efficient variational inference and gradient-based sampling for Gaussian models with banded precision.

The Killing operator on a Riemannian manifold is a linear differential operator on vector fields whose kernel provides the infinitesimal Riemannian symmetries. The Killing operator is best understood in terms of its prolongation, which entails some simple tensor identities. These simple identities can be viewed as aris…

2010-06-08abs ↗pdf ↗

We give a criterion of (micro-)kroneckerity of the linear Poisson pencil on g\frak{g}^* related to an algebraic Nijenhuis operator N:ggN:\frak{g}\to \frak{g} on a finite-dimensional Lie algebra g\frak{g}. As an application we get a series of examples of completely integrable systems on semisimple Lie algebras related t…

2005-04-16abs ↗pdf ↗

This paper encloses a complete and explicit description of the derivations of the Lie algebra D(M) of all linear differential operators of a smooth manifold M, of its Lie subalgebra D^1(M) of all linear first-order differential operators of M, and of the Poisson algebra S(M)=Pol(T*M) of all polynomial functions on T*M,…

2003-12-08abs ↗pdf ↗

Classifies local boundary conditions for Dirac-type operators on manifolds.

problem Determining all local smooth boundary conditions for Dirac-type operators.
method Combining general theory of boundary value problems for Dirac operators and pointwise considerations.
result Classification of local self-adjoint regular boundary conditions for Dirac spinors in dimensions 3 and 4.

The paper studies differential operator invariants and equivalence under Lie pseudogroups.

problem Understanding invariants and equivalence of differential operators under Lie pseudogroups.
method Analysis of invariants, use of n-invariants, and application of local symplectomorphisms as an example.
result Normal forms and solutions to equivalence problems for differential operators.

Abstract: A new approach to technical indicators without lag.

problem Defining classical technical indicators as bounded operators for lag-free trading.
method Using linear algebra to redefine technical indicators as bounded operators in l(N)l^\infty(\mathbb{N}) space.
result Demonstrated the no-lag versions of technical indicators are simpler and more effective.

Graph neural networks improve AMG convergence for sparse systems.

problem Efficiently constructing algebraic multigrid prolongation operators for sparse linear systems.
method Train a graph neural network to learn prolongation operators from matrix classes, using an unsupervised loss function.
result Improved convergence rates compared to classical AMG methods.

Analytic Lie rack structures on Leibniz algebras are characterized and rigid Lie algebras are identified.

problem Characterizing and identifying rigid Lie algebras with analytic Lie rack structures.
method Analytic Lie rack structures are defined and characterized using multilinear equations and cohomological interpretations.
result Simple Lie algebras are conjectured to be rigid as left Leibniz algebras.

Results on derivations and automorphisms of some quantum and classical Poisson algebras, as well as characterizations of manifolds by the Lie structure of such algebras, are revisited and extended. We prove in particular somehow unexpected fact that the algebras of linear differential operators acting on smooth section…

2005-10-03abs ↗pdf ↗

Study Poisson cohomology and linearize Lie algebra structures.

problem Linearize Poisson structures on sl2(C)\mathfrak{sl}_2(\mathbb{C}).
method Calculate Poisson cohomology, construct homotopy operators, develop Nash-Moser method.
result Show that Poisson structures linearizable at zero are flat.

Deep learning framework for kernel methods using RKHM and Perron-Frobenius operators.

problem Kernel methods in deep learning with potential overfitting issues.
method Combining RKHM and Perron-Frobenius operator to derive a new Rademacher bound and analyze deep kernel methods.
result Theoretical interpretation of benign overfitting and milder dependency on output dimension.

The Murphy operators in the Hecke algebra H_n of type A are explicit commuting elements, whose symmetric functions are central in H_n. In [Skein theory and the Murphy operators, J. Knot Theory Ramif. 11 (2002), 475-492] I defined geometrically a homomorphism from the Homfly skein C of the annulus to the centre of each …

2001-11-08abs ↗pdf ↗

We propose a tensor neural network (tt-NN) framework that offers an exciting new paradigm for designing neural networks with multidimensional (tensor) data. Our network architecture is based on the tt-product (Kilmer and Martin, 2011), an algebraic formulation to multiply tensors via circulant convolution. In this $t…

2018-11-15abs ↗pdf ↗

Efficient kernel methods for large datasets using GPU acceleration.

problem Handling large-scale nonparametric learning problems efficiently.
method Preconditioned gradient solver, GPU acceleration, parallelization, out-of-core linear algebra, numerical precision optimization.
result Dramatic speedups on datasets with billions of points, maintaining state-of-the-art performance.

We prove that the extended Toda hierarchy of \cite{CDZ} admits nonabelian Lie algebra of infinitesimal symmetries isomorphic to the half of the Virasoro algebra. The generators LmL_m, m1m\geq -1 of the Lie algebra act by linear differential operators onto the tau function of the hierarchy. We also prove that the tau fu…

2003-08-15abs ↗pdf ↗

We explore differential and algebraic operations on the exterior product of spinor representations and their twists that give rise to cohomology, the spin cohomology. A linear differential operator dd is introduced which is associated to a connection \nabla and a parallel spinor ζζ, ζ=0\nablaζ=0, and the algebraic o…

2004-10-22abs ↗pdf ↗

On contact manifolds we describe a notion of (contact) finite-type for linear partial differential operators satisfying a natural condition on their leading terms. A large class of linear differential operators are of finite-type in this sense, and for any such operator we construct a partial connection on a (finite ra…

2009-10-28abs ↗pdf ↗

Let F be a smooth real manifold with a linear connection in the tangent bundle. How can we extend the coefficients of the connection to bi-differential operators that incorporate the original structure at zero order? Take a constant mapping of F to a point. Suppose that the point belongs to another manifold M^n. Consid…

2007-03-28abs ↗pdf ↗

The paper classifies Lie algebras with special operators.

problem Classifying 3D Lie algebras with regular semisimple algebraic Nijenhuis operators.
method Described all Nijenhuis eigenbases for each 3D Lie algebra.
result Different answers in real and complex cases, some Lie algebras admit operators, others do not.