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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.

168,695 papers · 148 categories

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4285127169 · May 202619922001200920172026
48 results for metriplectic geometry

The paper integrates dissipative and curl forces using geometric methods.

problem Incorporating dissipative forces into curl forces for non-conservative systems.
method Geometric metriplectic approach, Herglotz principle, generalized Euler-Lagrange equation, Galley's method.
result Natural formulations for Lagrangian and Hamiltonian dynamics of non-conservative systems.

A new metriplectic system on contact manifolds is introduced for thermodynamic consistency.

problem Developing a thermodynamically consistent dynamical system on contact manifolds.
method Introducing a metriplectic dynamical system on the one-jet bundle J1NJ^1N.
result The metriplectic system is thermodynamically consistent, with H˙=0\dot{H} = 0 and S˙0\dot{S} \geq 0.

A new framework describes dissipation using a metriplectic 4-bracket.

problem Describing dissipation in a way that preserves energy and entropy.
method Using a metriplectic 4-bracket, a quantity like the Poisson bracket with symmetries motivated by Riemannian curvature.
result The metriplectic 4-bracket dynamics includes all known previous binary bracket theories for dissipation.

In this paper we study the differential systems on Leibniz algebroids. We introduce a class of almost metriplectic manifolds as a special case of Leibniz manifolds. Also, the notion of almost metriplectic algebroid is introduced. These types of algebroids are used in the presentation of associated differential systems.…

2005-08-13abs ↗pdf ↗

Develops neural networks for learning physics of complex systems by enforcing thermodynamics principles.

problem Learning physics of complex systems from incomplete experimental data.
method Integrates port-metriplectic formalism with neural networks to enforce thermodynamics principles.
result Neural networks can learn physics of complex systems by parts, reducing learning burden.

In this note we discuss conditions under which a linear connection on a manifold equipped with both a symmetric (Riemannian) and a skew-symmetric (almost-symplectic or Poisson) tensor field will preserve both structures.

2006-05-10abs ↗pdf ↗

Algorithm learns latent variables for thermodynamically-consistent deep neural networks.

problem Predicting time evolution of large-scale physical systems with thermodynamic consistency.
method Sparse autoencoders and structure-preserving neural networks.
result Method conserves total energy and entropy inequality for both conservative and dissipative systems.

Framework preserves emergent physics in non-equilibrium systems from particle trajectories.

problem Linking short spatiotemporal scales to emergent bulk physics in multiscale systems.
method Metriplectic bracket formalism for structure-preserving coarse-graining.
result Preservation of thermodynamic laws and conservation in machine-learned dynamics.

Although conservative Hamiltonian systems with constraints can be formulated in terms of Dirac structures, a more general framework is necessary to cover also dissipative systems such as gradient and metriplectic systems with constraints. We define Leibniz-Dirac structures which lead to a natural generalization of Dira…

2012-10-03abs ↗pdf ↗

Study surfaces with constant ratio of principal curvatures in Euclidean and isotropic geometries.

problem Characterize surfaces with constant ratio of principal curvatures in different geometries.
method Differential geometry, line geometry, Lie sphere geometry, ordinary differential equations, algebraic geometry.
result Characterized various types of surfaces like rotational, channel, ruled, helical, and translational.

It is shown that Electromagnetism creates geometry different from Riemannian geometry. General geometry including Riemannian geometry as a special case is constructed. It is proven that the most simplest special case of General Geometry is geometry underlying Electromagnetism. Action for electromagnetic field and Maxwe…

2002-05-22abs ↗pdf ↗

We define (p,q)(p,q) hermitian geometry as the target space geometry of the two dimensional (p,q)(p,q) supersymmetric sigma model. This includes generalised Kähler geometry for (2,2)(2,2), generalised hyperkähler geometry for (4,2)(4,2), strong Kähler with torsion geometry for (2,1)(2,1) and strong hyperkähler with torsion geometry f…

2018-10-15abs ↗pdf ↗

Simpler method derived for path geometries on surfaces, characterizing projective path geometries.

problem Characterizing projective path geometries on surfaces.
method Solving the equivalence problem of sub-Riemannian geometry of signature (1,1) on a contact 3-manifold.
result Characterization of projective path geometries in terms of their chains.

The paper extends group constructions to coset geometries, creating new ways to combine geometries.

problem Combining and gluing incidence geometries in a general framework.
method Extending classical group-theoretic constructions to coset geometries.
result Provides a general framework for combining or gluing incidence geometries.

A geometric transition is a continuous path of geometric structures that changes type, meaning that the model geometry, i.e. the homogeneous space on which the structures are modeled, abruptly changes. In order to rigorously study transitions, one must define a notion of geometric limit at the level of homogeneous spac…

2014-08-18abs ↗pdf ↗

Paper introduces a generalized Bures-Wasserstein geometry for SPD matrices.

problem Understanding the geometry of SPD matrices for machine learning.
method Proposes a generalized Bures-Wasserstein geometry parameterized by a symmetric positive definite matrix.
result The GBW geometry outperforms the BW geometry in machine learning applications.

We show that a car, viewed as a nonholonomic system, provides an example of a flat parabolic geometry of type (SO(2,3),P12)({\bf SO}(2,3),P_{12}), where P12P_{12} is a Borel parabolic subgroup in SO(2,3){\bf SO}(2,3). We discuss the relations of this geometry of a car with the geometry of circles in the plane (a low dimensional Lie sph…

2019-08-03abs ↗pdf ↗

Develops Weyl structures for path geometries, simplifying their study.

problem Complexity in studying path geometries using traditional differential geometry methods.
method Defines distinguished connections and Schouten tensor, proving their dependence on line bundle sections.
result Shows a smaller subclass of Weyl structures for path geometries, with interesting connections to BGG sequences.

The paper extends Ruh-Vilms theorem to hypersurfaces in Weitzenböck geometry.

problem Extending Ruh-Vilms theorem to hypersurfaces in Weitzenböck geometry.
method Extending the Ruh-Vilms theorem to Weitzenböck geometry, considering the flat geometry with torsion.
result The Laplacian of the Gauss map for hypersurfaces in Weitzenböck geometry is related to the mean curvature vector field.

Introduces a new geometry based on difference angles, showing unique properties.

problem Defining angles independently of circles or rotations.
method Axiomatic system for difference angles, defining new geometric constructs.
result Explicit confirmation of the concurrency of the parabolic Miquel configuration.

KT-geometry is the geometry of a Hermitian connection whose torsion is a 3-form. HKT-geometry is the geometry of a hyper-Hermitian connection whose torsion is a 3-form. We identify non-trivial conditions for a reduction theory for these types of geometry.

2002-01-17abs ↗pdf ↗

We classify the 5-dimensional homogeneous geometries in the sense of Thurston. The present paper (part 3 of 3) classifies those in which the linear isotropy representation is nontrivial but reducible. Most of the resulting geometries are products. Some interesting examples include a countably infinite family of inequiv…

2016-05-24abs ↗pdf ↗

New framework for noncommutative Carrollian geometry using Lie-Rinehart pairs.

problem Developing a geometric framework for ultra-relativistic physics in noncommutative settings.
method Using ρ-Lie-Rinehart pairs to generalize Carrollian Lie algebroids to almost commutative geometry.
result Foundational principles of Carrollian geometry hold in almost commutative geometry.

The target space geometry of abelian vector multiplets in N=2{\cal N}= 2 theories in four and five space-time dimensions is called special geometry. It can be elegantly formulated in terms of Hessian geometry. In this review, we introduce Hessian geometry, focussing on aspects that are relevant for the special geometrie…

2019-09-13abs ↗pdf ↗

New geometry based on Siegel upper half-space with volume formula.

problem Developing a new 3D geometry based on Siegel upper half-space.
method Constructing a geometry fibered over Siegel upper half-space and providing a volume formula.
result Volume of Siegel-Seifert closed manifolds is the fiber circle length times base manifold's Euler characteristic.

Develops a new algebraic framework for differential geometry of infinite dimensional spaces.

problem Creating a differential geometry for infinite dimensional spaces without topology or local coordinates.
method Introduces a general algebraic framework for lifted geometry applicable to various infinite dimensional spaces.
result Stokes' Theorem appears as a form of differentiability in the lifted geometry of spaces of submanifolds.

Study of Teichmüller space geometry using infinitesimal and global methods.

problem Understanding the geometry of Teichmüller space and its tangent/cotangent spheres.
method Systematic study of Thurston metric's infinitesimal and global properties.
result Rigidity statements for the Thurston metric analogous to Royden theorem.

The study identifies two sources of invariants in 2--nondegenerate CR geometries.

problem Characterizing fundamental invariants of 2--nondegenerate CR geometries.
method Analyzes the harmonic curvature and the difference in complex structures.
result Nontrivial examples of CR geometries can be obtained as deformations of models.