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.

168,742 papers · 148 categories

Trend · papers per month

0111 · Feb 201519922001200920172026
8 results for Aristotelian

Study Godbillon-Vey invariants in non-Lorentzian spacetimes and fluid dynamics.

problem Characterizing and measuring the local spin of spatial leaves in non-Lorentzian spacetimes.
method Relating intrinsic torsion to Godbillon-Vey class, using geometric structures to model fluid dynamics.
result Godbillon-Vey class represents an obstruction to steady flow of fluid and new conservation laws.

The paper classifies intrinsic torsion in various spacetime structures.

problem Classifying intrinsic torsion in different spacetime structures.
method Review and classification of intrinsic torsion in galilean, Carrollian, Aristotelian, and Bargmannian spacetime structures.
result Found 16 classes for Aristotelian structures and 27 for Bargmannian structures.

We classify simply-connected homogeneous (D+1D+1)-dimensional spacetimes for kinematical and aristotelian Lie groups with DD-dimensional space isotropy for all D0D\geq 0. Besides well-known spacetimes like Minkowski and (anti) de Sitter we find several new classes of geometries, some of which exist only for D=1,2D=1,2. Th…

2018-09-04abs ↗pdf ↗

We classify N=1N{=}1 d=4d=4 kinematical and aristotelian Lie superalgebras with spatial isotropy, but not necessarily parity nor time-reversal invariance. Employing a quaternionic formalism which makes rotational covariance manifest and simplifies many of the calculations, we find a list of 4343 isomorphism classes of Li…

2019-08-29abs ↗pdf ↗

Starting from the Fermat's principle of least action, which governs classical and quantum mechanics and from the theory of exterior differential forms, which governs the geometry of curved manifolds, we show how to derive the equations governing neural networks in an intrinsic, coordinate invariant way, where the loss …

2018-11-01abs ↗pdf ↗