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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.

168,695 papers · 148 categories

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48 results for symmetry sets

In this paper the generic bifurcations of the Minkowski symmetry set for 1-parameter families of plane curves are classified and the necessary and sufficient geometric criteria for each type are given. The Minkowski symmetry set is an analogue of the standard Euclidean symmetry set, and is defined to be the locus of ce…

2019-11-04abs ↗pdf ↗

The investigation of 3D euclidean symmetry sets (SS) and medial axis is an important area, due in particular to their various important applications. The pre-symmetry set of a surface M in 3-space (resp. smooth closed curve in 2D) is the set of pairs of points which contribute to the symmetry set, that is, the closure …

2005-05-05abs ↗pdf ↗

Study on geodesics in a specific sub-Riemannian structure with two types of behavior.

problem Symmetries and geodesics in a sub-Riemannian structure with growth vector (4,7).
method Symmetry reduction to analyze geodesics.
result Existence of two distinct types of geodesics: those that avoid the fixed point set and those that are contained within it.

Develops non-parametric tests for group symmetry in data.

problem Lack of statistical tests for group symmetry in data.
method Formulates and implements non-parametric tests for distributional symmetry under specified groups.
result Develops tests for conditional invariance/equivariance and applies them to real-world data.

The generalized Feix--Kaledin construction shows that c-projective 2n2n-manifolds with curvature of type (1,1)(1,1) are precisely the submanifolds of quaternionic 4n4n-manifolds which are fixed points set of a special type of quaternionic S1S^1 action vv. In this paper, we consider this construction in the presence of in…

2018-01-22abs ↗pdf ↗

Invariant kernels reduce rank and improve generalization across dimensions.

problem Symmetry in high-dimensional data impacts kernel matrix rank and learning algorithms.
method Compute invariant polynomial kernel ranks under various groups acting on data.
result Symmetry decreases kernel rank, making it independent of data dimension.

Study spectral settings of generalized Laplacians on homogeneous spaces.

problem Understanding the spectral properties of generalized Laplacians on compact homogeneous spaces.
method Investigates the generic spectral configuration of operators on GG-invariant metrics on M=G/KM=G/K.
result The spectral setting depends on GG-isometries and hidden symmetries.

Study connects symmetries in dynamical systems to phase plane representations.

problem Understanding symmetries in dynamical systems and their phase plane realizations.
method Analysis of symmetries in differential equations and phase plane representations, establishing correspondence and lifting conditions.
result Every symmetry generator in one formulation corresponds uniquely to a generator in the other, with a lifting condition to solve.

Study on symmetry defects of complete intersections in complex space.

problem Characterizing symmetry defects of complete intersections.
method Analyzing midpoints of chords connecting points in complete intersections.
result Symmetry defect of complete intersections is an algebraic variety.

We fully develop the concept of causal symmetry introduced in Class. Quant. Grav. 20 (2003) L139. A causal symmetry is a transformation of a Lorentzian manifold (V,g) which maps every future-directed vector onto a future-directed vector. We prove that the set of all causal symmetries is not a group under the usual comp…

2003-08-28abs ↗pdf ↗

The Regge symmetry is a set of remarkable relations between two tetrahedra whose edge lengths are related in a simple fashion. It was first discovered as a consequence of an asymptotic formula in mathematical physics. Here we give a simple geometric proof of Regge symmetries in Euclidean, spherical, and hyperbolic geom…

2019-03-12abs ↗pdf ↗

This work extends PAC-Bayesian learning guarantees to non-compact symmetries and non-invariant data.

problem Lack of theoretical guarantees explaining the benefits of symmetries in machine learning models.
method Adapting and tightening PAC-Bayes bounds for non-compact symmetries and non-invariant data distributions.
result Theoretical evidence that symmetric models are preferable for symmetric data, beyond compact groups and invariant distributions.

Study of symmetries in 2D Yang-Mills theory, including orbifolds and higher forms.

problem Understanding symmetries and anomalies in 2D Yang-Mills theory.
method Combining continuum methods, topological defects, and higher gauge theory.
result Unified description of higher and lower form gauge fields, identifying spontaneous symmetry breaking.

The paper simplifies symmetries in complex geometric structures.

problem Redundancy in conditions for symmetry reduction in polysymplectic and polycosymplectic structures.
method Exploring and proving necessary and sufficient conditions for polycosymplectic reduction.
result A one-to-one relationship between polycosymplectic reduction and the reduction of a larger polysymplectic manifold.

In this paper, we present the point symmetry group of three-dimensional homogeneous Helmholtz equation, when we consider the cylindrical coordinate system. In continuation, we present a complete set of functionally independent invariants of the equation along with the form of the general solution provided by these inva…

2009-08-25abs ↗pdf ↗

Study symmetric linear bandits with hidden symmetry, achieving improved regret bounds.

problem High-dimensional linear bandits with hidden symmetry.
method Model selection within low-dimensional subspaces to learn hidden symmetry.
result Achieved improved regret bounds of O(d02/3T2/3log(d)) O(d_0^{2/3} T^{2/3} \log(d)) and O(d0Tlog(d)) O(d_0\sqrt{T\log(d)} ).

This work relaxes GNN symmetries to approximate automorphisms, improving model performance.

problem Improving graph neural network performance on asymmetric graphs.
method Formalizing approximate symmetries via graph coarsening, introducing a bias-variance formula.
result Best generalization performance achieved by choosing a larger symmetry group than automorphisms but smaller than permutations.

Based on the recent work \cite{PII} we put forward a new type of transformation for Lorentzian manifolds characterized by mapping every causal future-directed vector onto a causal future-directed vector. The set of all such transformations, which we call causal symmetries, has the structure of a submonoid which contain…

2003-03-05abs ↗pdf ↗

Study of 4D flows with nilpotent symmetry, showing immortal solutions and blowdown limits.

problem Understanding 4D generalized Ricci flows with nilpotent symmetry.
method Immortal solutions, type III curvature and diameter estimates, new energy monotonicity.
result Blowdown limits lie in a finite-dimensional family of solutions.

Bayesian framework detects symmetries in chaotic dynamical systems.

problem Detecting symmetries in chaotic attractors for insights into dynamical system structure.
method Bayesian framework using Gibbs posterior constructed from Wasserstein distances.
result Bayesian framework accurately recovers symmetries under high noise and small sample sizes.

We define a new type of transformation for Lorentzian manifolds characterized by mapping every causal future-directed vector onto a causal future-directed vector. The set of all such transformations, which we call causal symmetries, has the structure of a submonoid. Some of their properties are investigated and we give…

2002-11-29abs ↗pdf ↗

Study on MHD equilibria on curved spaces without symmetries.

problem Analyzing MHD equilibria on curved spaces without symmetries.
method Examined MHD equilibria on Riemannian 3-manifolds with various adapted metrics.
result Found that for an open and dense set of adapted metrics, MHD equilibria on compact 3-manifolds without boundary admit no continuous Killing symmetries.

Hidden symmetry of a G'-space X is defined by an extension of the G'-action on X to that of a group G containing G' as a subgroup. In this setting, we study the relationship between the three objects: (A) global analysis on X by using representations of G (hidden symmetry); (B) global analysis on X by using representat…

2016-08-30abs ↗pdf ↗

Study of sub-Riemannian problem on specific Lie groups, revealing symmetries and bounds.

problem Sub-Riemannian problem on solvable, non-nilpotent Lie groups.
method Qualitative phase-space analysis of Hamiltonian system, focusing on vertical component.
result Explicit upper bound for cut time in terms of pendulum period.

Since the foundational work of Chenciner and Montgomery in 2000 there has been a great deal of interest in choreographic solutions of the n-body problem: periodic motions where the n bodies all follow one another at regular intervals along a closed path. The principal approach combines variational methods with symmetry…

2013-05-02abs ↗pdf ↗

New triangulations of octonionic projective plane found with restricted symmetry groups.

problem Finding symmetry groups of 27-vertex triangulations of manifolds like the octonionic projective plane.
method Using Smith and Bredon's results on transformation groups to restrict possible symmetry groups.
result List of 26 subgroups of S27 containing all possible symmetry groups of 27-vertex triangulations of manifolds like the octonionic project plane.

Study examines stability of MOTS in symmetric initial data sets.

problem Stability of marginally outer trapped surfaces in symmetric initial data sets.
method Characterizes instability through vector decomposition and properties of normal and tangent components.
result Characterizes instability of MOTS by the nature of zero sets and divergences.

The symmetries of paths in a manifold MM are classified with respect to a given pointwise proper action of a Lie group GG on MM. Here, paths are embeddings of a compact interval into MM. There are at least two types of symmetries: Firstly, paths that are parts of an integral curve of a fundamental vector field on $…

2015-03-21abs ↗pdf ↗

Study nearly parallel G2-structures with torus symmetry using multi-moment maps.

problem Characterize and construct nearly parallel G2-structures with torus symmetry.
method Use multi-moment map techniques and analyze the geometry of the base spaces.
result Locally, the construction may produce examples with four-torus symmetry.