Research
On-device research index

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.

169,291 papers · 148 categories

Trend · papers per month

3978117156 · Jun 202019922001200920182026
48 results for mixed symmetry tensors

Differential forms and symmetric tensors show contrasting singular behaviors in a specific geometric setting.

problem Exploring differential forms and symmetric tensors on a specific geometric setting.
method Analyzing differential forms and symmetric tensors on the quadrant C2C_2 with subset diffeology.
result Symmetric tensors exhibit singularities that accumulate, while differential forms are smooth.

Method improves deep learning models for datasets with mixed approximate symmetries.

problem Improving deep learning models for datasets with mixed approximate symmetries.
method Regularizer-based approach to build models for datasets with mixed approximate symmetries.
result Our method achieves better accuracy than prior approaches while discovering the approximate symmetry levels correctly.

Develops SymGCP for tensor decompositions with general symmetry.

problem Handling symmetry in tensor decompositions for better model accuracy.
method Introduces SymGCP, a generalized CP decomposition that accounts for any subset of tensor modes' symmetry.
result SymGCP enables efficient and scalable tensor decomposition with improved model robustness and accuracy.

Researchers prove injectivity and stability for mixed ray transform on simple manifolds.

problem Injectivity and stability of mixed ray transform for tensor fields.
method Analyzing tensor fields on 3D compact simple Riemannian manifolds with boundary.
result Injectivity and stability estimates for normal operator on generic 3D simple manifolds.

The paper develops tensor learning methods exploiting symmetries of tensor functions.

problem Efficiently handling tensors in various scientific contexts.
method Equivariant machine learning architectures exploiting orthogonal, Lorentz, and symplectic symmetries.
result Equivariant models outperform non-equivariant baselines in time series analysis.

We consider generators of algebraic curvature tensors R which can be constructed by a Young symmetrization of product tensors U*w or w*U, where U and w are covariant tensors of order 3 and 1. We assume that U belongs to a class of the infinite set S of irreducible symmetry classes characterized by the partition (2,1). …

2004-11-02abs ↗pdf ↗

Study of quantum spaces on Kähler manifolds with T-symmetry converging to a mixed polarization.

problem Quantum spaces on Kähler manifolds with T-symmetry and their convergence.
method Construction of a one-parameter family of Kähler structures and study of quantum spaces.
result Quantum spaces corresponding to different polarizations converge to a mixed polarization as the parameter goes to infinity.

This work takes place over a conformally flat spin manifold (M,g). We prove existence and uniqueness of the conformally equivariant quantization valued in spinor differential operators, and provide an explicit formula for it when restricted to first order operators. The Poisson algebra of symbols is realized as a space…

2012-08-20abs ↗pdf ↗

The study characterizes symmetries in Kaehler manifolds.

problem Understanding symmetries in Kaehler manifolds.
method Analyzing specific types of Kaehler manifolds: constant holomorphic sectional curvature, semisymmetric, and holomorphically pseudosymmetric.
result Characterization results and geometric interpretation of the complex Tachibana tensor.

The paper explores symmetries in Kähler manifolds using Ricci tensor properties.

problem Investigating symmetries in Kähler manifolds involving Ricci tensor.
method Analyzing properties of Kähler-Einstein spaces and their generalizations.
result Clarified the geometric role of holomorphic Ricci pseudosymmetry and established new criteria for Kähler manifolds to be Einstein.

Local invertibility of higher order tensor transforms on compact manifolds.

problem Invertibility of higher order tensor transforms on compact manifolds.
method Local invertibility of transverse and mixed ray transforms of tensors on compact Riemannian manifolds.
result Local invertibility of transverse and mixed ray transforms of tensors for specific dimensions.

Solves Christoffel-Minkowski problem and Hessian equations with radial symmetry.

problem Christoffel-Minkowski problem and Hessian equations under rotational symmetries.
method Constructing explicit convex solutions to mixed Monge-Ampère equations on \(\mathbb{R}^n\) under radial symmetry.
result Explicit representation formula for the support function of the resulting convex body.

Study extends geodesic ray transform results to orientable surfaces.

problem Characterize and stabilize mixed and transverse ray transforms on surfaces.
method Algebraic arguments applied to various geometries and ray transforms.
result Characterization of kernel and stability for mixed and transverse ray transforms on orientable surfaces.

RotEqNet preserves rotation symmetry in fluid systems using high-order tensors.

problem Lack of rotational symmetry in machine learning models for fluid systems.
method Introduces RotEqNet, a network that guarantees rotation-equivariance for high-order tensors.
result RotEqNet reduces errors and maintains rotation-equivariance in fluid systems.

Paper proposes a new tensor model for mixed memberships and provides error bounds.

problem Estimating mixed memberships in higher-order multiway data.
method Tensor mixed-membership blockmodel, higher-order orthogonal iteration algorithm (HOOI), simplex corner-finding algorithm.
result Consistency of estimation procedure with error bounds under specific conditions.

New method uses scalar-based models to approximate spherical tensors efficiently.

problem Efficiently approximating spherical tensors with equivariant functions.
method Expressing equivariant functions as the product of a scalar function and a small tensor basis.
result Approximations are fast, simple to implement, and accurate in practical settings.

Study Lie algebras of symmetries for odd-dimensional structures.

problem Understanding Lie algebras of infinitesimal symmetries in almost-cosymplectic-contact structures.
method Analyzing Lie subalgebras of a Lie algebra defined by pairs of 1-forms and functions.
result Described Lie subalgebras generating infinitesimal symmetries of basic tensor fields.

Local invertibility of ray transforms on convex manifolds.

problem Invertibility of ray transforms on compact Riemannian manifolds with strictly convex boundary.
method Local invertibility results for transverse and mixed ray transforms of 1 and 1+1 tensors.
result Local invertibility of ray transforms near boundary points, leading to global results.

Study characterizes kernel of mixed ray transform on simple surfaces.

problem Characterizing the kernel of mixed ray transform on simple surfaces.
method Characterization of the kernel through analysis of mixed ray transform on simple 2D Riemannian manifolds.
result Characterization of the kernel of the mixed ray transform on simple surfaces.

Unsupervised ML method reveals hidden features in reactive-diffusion simulations.

problem Automating interpretation of large model outputs in reactive-diffusion simulations.
method NTFk using Non-negative Tensor Factorization (NTF) coupled with k-means clustering.
result Identifies additive features characterizing mixing behavior.

Algebraic curvature tensors possess generators which can be formed from symmetric or alternating tensors S, A or tensors θwith an irreducible (2,1)-symmetry. In differential geometry examples of curvature formulas are known which contain generators on the basis of S or A realized by differentiable tensor fields in a na…

2005-10-14abs ↗pdf ↗

Study geometric properties and physical applications of mixed quasi-Einstein spacetime.

problem Characterize geometric and physical properties of mixed quasi-Einstein spacetime.
method Analyze geometric conditions and curvature tensors on mixed quasi-Einstein and nearly quasi-Einstein manifolds.
result Establish conditions for specific curvature tensors and spacetime structures.

We show that the symmetry classes of torsion-free covariant derivatives T\nabla T of r-times covariant tensor fields T can be characterized by Littlewood-Richardson products σ[1]σ[1] where σσ is a representation of the symmetric group SrS_r which is connected with the symmetry class of T. If σ=[λ]σ= [λ] is irreducible the…

2003-01-06abs ↗pdf ↗

The study characterizes mixed super quasi-Einstein manifolds with Ricci-Bourguignon solitons.

problem Characterizing mixed super quasi-Einstein manifolds with Ricci-Bourguignon solitons.
method Exploring properties of mixed super quasi-Einstein manifolds, including conformal Ricci pseudosymmetry and Einstein's field equation. Characterizing manifolds that admit Ricci-Bourguignon solitons and providing a detailed eigenvalue problem characterization.
result Characterization of mixed super quasi-Einstein manifolds with Ricci-Bourguignon solitons, including a detailed eigenvalue problem and an example construction.

6D manifolds with special symmetries have limited automorphism groups.

problem Understanding the maximum symmetry groups of 6D manifolds.
method Analyzing almost product structures and their automorphism groups.
result The automorphism group of 6D manifolds with non-degenerate Nijenhuis tensor has a limited dimension, with the maximum being 14.

New neural networks respect symmetries in symmetric tensors, improving efficiency and generalization.

problem Learning from symmetric tensors efficiently and respecting their inherent symmetries.
method Developed two characterizations of linear permutation equivariant functions between symmetric power spaces of R^n.
result These functions are highly data efficient compared to standard MLPs and generalize well to different sizes of symmetric tensors.

We use curvature decompositions to construct generating sets for the space of algebraic curvature tensors and for the space of tensors with the same symmetries as those of a torsion free, Ricci symmetric connection; the latter naturally appear in relative hypersurface theory.

2006-09-27abs ↗pdf ↗

The paper explores symmetries and conserved charges on pre-symplectic manifolds.

problem Analyzing conserved charges on solutions of Hamiltonian field theories.
method Using pre-symplectic structures and Gotay's coisotropic embedding theorem, the paper deals with gauge theories and examples like Electrodynamics and Klein-Gordon theory.
result Emergence of the energy-momentum tensor algebra of conserved currents.

Study Wintgen ideal submanifolds in curved spaces with specific curvature conditions.

problem Characterize Wintgen ideal submanifolds in curved spaces under certain curvature constraints.
method Analyze submanifolds in real space forms R^{n+m}(k) with specific curvature conditions.
result Identify conditions under which submanifolds satisfy given pseudo-symmetry type curvature conditions.