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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.

168,657 papers · 148 categories

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162324486648 · Jun 202019922001200920172026
48 results for Equivariant Mapping Class Group

Study the relationship between orbit braid group and equivariant mapping class group on surfaces.

problem Understanding the relationship between mapping class groups and braid groups with group actions.
method Using the fibration F0GMightarrowF(M/G,n)\mathcal{F}_{0}^{G}M ightarrow F(M/G,n) and exact sequence.
result The conclusion is closely connected with the braid group of the quotient space.

Paper shows mapping class group-equivariant Teichmüller space deformation to Thurston spine.

problem Mapping Teichmüller space to Thurston spine.
method Equivariant deformation retraction of Teichmüller space onto a cell complex.
result Thurston spine contains points corresponding to hyperbolic surfaces with shortest geodesics forming polygons.

This paper contains two main results. The first is the existence of an equivariant Weil-Petersson geodesic in Teichmueller space for any choice of pseudo-Anosov mapping class. As a consequence one obtains a classification of the elements of the mapping class group as Weil-Petersson isometries which is parallel to the T…

2002-08-01abs ↗pdf ↗

Nontrivial boundary Dehn twist found on K3#K3 manifold.

problem Proving nontriviality of a Dehn twist on a specific 4-manifold.
method Algebraic criterion and equivariant topological K-theory to show non-isotopy.
result Boundary Dehn twist is nontrivial in the smooth mapping class group.

Unified method for CNNs to approximate equivariant maps across various groups.

problem Limited universal approximation theorems for CNNs with specific groups and settings.
method Unified approach to derive universal approximation theorems for equivariant maps by CNNs in diverse settings.
result Ability to handle non-linear equivariant maps between infinite-dimensional spaces for non-compact groups.

The paper characterizes equivariant immersions in hyperbolic space.

problem Characterizing equivariant immersions in hyperbolic space.
method Analyzes the Gauss map of equivariant immersions in hyperbolic space.
result Provides two characterizations of equivariant immersions: one in terms of the Maslov class and another for compact MM in terms of Hamiltonian symplectomorphisms.

In this paper, we introduce the classification of equivariant principal bundles over the 2-sphere. Isotropy representations provide tools for understanding the classification of equivariant principal bundles. We consider a ΓΓ-equivariant principal GG-bundle over S2S^2 with structural group GG a compact connected Lie…

2019-02-17abs ↗pdf ↗

We show a non-existence result for some class of equivariant maps between sphere bundles over tori. The notion of equivariant KO-degree is used in the proof. As an application to Seiberg-Witten theory, for a connected closed oriented spin 4-manifold with indefinite intersection form, we have a new bound of the second B…

2005-02-24abs ↗pdf ↗

A spine is constructed for a non-orientable surface's decorated Teichmüller space.

problem Constructing a spine for a non-orientable surface's decorated Teichmüller space.
method Building on Harer's work, constructing a spine and computing its dimension, showing equivariance with the pure mapping class group.
result A spine is constructed with minimal dimension for a punctured non-orientable surface.

Survey discusses new ideas in geometric group theory and their applications.

problem Understanding geodesic metric spaces and their equivariant wall structures.
method Introduces and highlights the impact of injective metric spaces and cubical approximation theorem.
result Rich equivariant wall structures in various geodesic metric spaces.

Study surjectivity of Kirwan map for generalized hyperkähler reduction.

problem Establishing surjectivity of Kirwan map for a specific class of Hamiltonian manifolds.
method Defined a close analogue of hyperkähler reduction for manifolds with equivariant functions under semi-linear GG-actions.
result Surjectivity of Kirwan map proved for the defined class of manifolds.

We construct a covering of Culler-Vogtmann Outer space by the Teichmuller spaces of punctured surfaces. By considering the equivariant homology for the action of Out(F_n) on this covering, we construct a spectral sequence converging to the homology of Out(F_n) that has E^1 terms given by the homology of mapping class g…

2003-10-21abs ↗pdf ↗

Let GG be a compact connected Lie group acting on a stable complex manifold MM with equivariant vector bundle EE. Besides, suppose φφ is an equivariant map from MM to the Lie algebra g\mathfrak{g}. We can define some equivalence relation on the triples (M,E,φ)(M, E, φ) such that the set of equivalence classes form an …

2012-06-23abs ↗pdf ↗

Given a compact manifold MM and gC(M,U(l;C))g\in C^{\infty}(M,U(l;\mathbb{C})) we construct a Chern character Ch(g)\mathrm{Ch}^-(g) which lives in the odd part of the equivariant (entire) cyclic Chen-normalized bar complex C(ΩT(M×T))\underline{\mathscr{C}}(Ω_{\mathbb{T}}(M\times \mathbb{T})) of MM, and which is mapped to the odd Bismut-C…

2018-05-18abs ↗pdf ↗

We construct a new equivariant cohomology theory for a certain class of differential vertex algebras, which we call the chiral equivariant cohomology. A principal example of a differential vertex algebra in this class is the chiral de Rham complex of Malikov-Schechtman-Vaintrob of a manifold with a group action. The ma…

2005-01-06abs ↗pdf ↗

Equivariant neural networks use symmetry to interpret complex data.

problem Interpreting and understanding the behavior of equivariant neural networks.
method Decompose layers into simple representations and analyze nonlinear activation functions.
result Equivariant neural networks can be interpreted using a filtration generalizing Fourier series.

Let G be a finite group. For semi-free G-manifolds which are oriented in the sense of Waner, the homotopy classes of G-equivariant maps into a G-sphere are described in terms of their degrees, and the degrees occurring are characterized in terms of congruences. This is first shown to be a stable problem and then solved…

2020-02-12abs ↗pdf ↗

Group equivariant neural networks simplify complex tasks with group representation theory.

problem Challenging tasks requiring input transformations like rotations.
method Group representation theory, non-commutative harmonic analysis, differential geometry.
result A neural network is group equivariant if and only if it has a convolutional structure.

We present a general theory of Group equivariant Convolutional Neural Networks (G-CNNs) on homogeneous spaces such as Euclidean space and the sphere. Feature maps in these networks represent fields on a homogeneous base space, and layers are equivariant maps between spaces of fields. The theory enables a systematic cla…

2018-11-05abs ↗pdf ↗

EbC learns equivariant embeddings from unlabeled group actions.

problem Learning equivariant embeddings from unlabeled group actions.
method Equivariance by Contrast (EbC) method to learn equivariant embeddings from observation pairs (y,gy)(\mathbf{y}, g \cdot \mathbf{y}).
result High-fidelity equivariance in latent space for diverse groups.

For a compact Lie group acting on a smooth manifold, we define the differential cohomology of a certain quotient stack involving principal bundles with connection. This produces differential equivariant cohomology groups that map to the Cartan-Weil equivariant forms and to Borel's equivariant integral cohomology. We sh…

2016-02-22abs ↗pdf ↗

This work introduces a method for almost equivariance in neural networks using Lie algebra convolutions.

problem Real-world data often does not conform to strict group equivariances, leading to underperformance in models.
method Definition and practical implementation of almost equivariance through Lie algebra convolutions.
result Demonstrated the validity of the approach through benchmarking against fully equivariant settings.

If KK is a compact Lie group and g2g\geq 2 an integer, the space K2gK^{2g} is endowed with the structure of a Hamiltonian space with a Lie group valued moment map ΦΦ. Let ββ be in the centre of KK. The reduction Φ1(β)/KΦ^{-1}(β)/K is homeomorphic to a moduli space of flat connections. When KK is simply connected, a dire…

2003-06-24abs ↗pdf ↗

New framework for equivariant neural networks using Lie group decompositions.

problem Limitations of existing equivariant neural network methods for Lie groups.
method Lie group structure and geometry, decomposition into subgroups and submanifolds.
result Equivariant neural networks for affine transformations outperform previous methods.

We give a classifying theory for LGLG-bundles, where LGLG is the loop group of a compact Lie group GG, and present a calculation for the string class of the universal LGLG-bundle. We show that this class is in fact an equivariant cohomology class and give an equivariant differential form representing it. We then use t…

2010-05-24abs ↗pdf ↗

New algorithm speeds up group equivariant neural networks computations.

problem Challenging computations in group equivariant neural networks.
method Diagrammatic framework based on category theory for matrix multiplication.
result Exponential improvement in time complexity for matrix multiplication.

Let YY be a CW-complex with a single 0-cell, KK its Kan group, a model for the loop space of YY, and let GG be a compact, connected Lie group. We give an explicit finite dimensional construction of generators of the equivariant cohomology of the geometric realization of the cosimplicial manifold $\roman{Hom}(K,G)$

1995-06-14abs ↗pdf ↗

The first author's geometric Hopf invariant of a stable map F:ΣXΣYF:Σ^{\infty}X \to Σ^{\infty}Y is a stable Z2{\mathbb Z}_2-equivariant map h(F):ΣXΣ(YY)h(F):Σ^{\infty}X \to Σ^{\infty}(Y \wedge Y) constructed by an explicit difference construction applied to (FF)ΔXΔYF(F \wedge F)Δ_X - Δ_Y F. The stable Z2{\mathbb Z}_2-equivariant homotopy c…

2016-02-29abs ↗pdf ↗

Normal forms for equivariant maps in infinite dimensions established.

problem Establishing normal forms for equivariant maps in infinite-dimensional manifolds.
method Inspired by Lyapunov-Schmidt reduction and Kuranishi method, uses Slice Theorem for Fréchet manifolds.
result Abstract moduli spaces of equivariant maps are locally modeled on quotient by a compact group.

We show that if G is a discrete subgroup of the group of the isometries of the hyperbolic k-space H^k, and if R is a representation of G into the group of the isometries of H^n, then any R-equivariant map F from H^k to H^n extends to the boundary in a weak sense in the setting of Borel measures. As a consequence of thi…

2004-05-03abs ↗pdf ↗