Unified classification of equivariant principal bundles using higher homotopy theory.
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Following Hopkins and Singer, we give a definition for the differential equivariant K-theory of a smooth manifold acted upon by a finite group. The ring structure for differential equivariant K-theory is developed explicitly. We also construct a pushforward map which parallels the topological pushforward in equivariant…
Study of equivariant movie moves for involutive links.
We construct for an equivariant cohomology theory for proper equivariant CW-complexes an equivariant Chern character, provided that certain conditions about the coefficients are satisfied. These conditions are fulfilled if the coefficients of the equivariant cohomology theory possess a Mackey structure. Such a structur…
We compute the equivariant complex K-theory ring of a cohomogeneity-one action of a compact Lie group at the level of generators and relations and derive a characterization of K-theoretic equivariant formality for these actions. Less explicit expressions survive for a range of equivariant cohomology theories including …
Generalizes Floer homotopy via Morse-Bott theory.
Extended equivariant BV formalism to manifolds with boundaries.
New framework for conformal equivariant cycles in KK-theory.
Lin and Sjamaar have used symplectic Hodge theory to obtain canonical equivariant extensions for Hamiltonian actions on closed symplectic manifolds that have the strong Lefschetz property. Here we obtain canonical equivariant extensions much more generally by means of classical Hodge theory.
Equivariant neural networks improve performance and generalization in complex scalar field theory tasks.
In this paper we introduce exotic twisted -equivariant K-theory of loop space depending on the (typically non-flat) holonomy line bundle on induced from a gerbe with connection on . We also define exotic twisted -equivariant Chern character that maps the exotic tw…
Equivalence proven between equivariant K-theory and K-homology for certain matrix group actions.
Develops a theory for equivariant networks with partial domain symmetry.
We provide several results on the existence of metrics of non-negative sectional curvature on vector bundles over certain cohomogeneity one manifolds and homogeneous spaces up to suitable stabilization. Beside explicit constructions of the metrics, this is achieved by identifying equivariant structures upon these vecto…
In this paper, for a compact Lie group action,we prove the anomaly formula and the functoriality of the equivariant Bismut-Cheeger eta forms with perturbation operators when the equivariant family index vanishes. In order to prove them, we extend the Melrose-Piazza spectral section and its main properties to the equiva…
Equivariant neural networks use symmetry to interpret complex data.
Constructs 2-vector bundles and 2K-theory for Lie groupoids and 2-equivariant settings.
The paper develops methods for calculating equivariant homology from Morse functions.
Study symmetries in equivariant Khovanov homology.
Equivariant neural networks improve performance and generalization in lattice field theory tasks.
Computes immersions of -projective spaces using K-theory.
Non-Abelian actions are resolved using equivariant K-theory and delocalized cohomology.
L-CNNs maintain gauge symmetry on non-Abelian lattice theories.
Program connects birational invariants with G-equivariant ones using Gromov-Witten theory.
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…
The study proves a generic multiplicity one theorem for -invariant minimal hypersurfaces.
Machine learning uses invariant theory to restrict function classes.
This is a survey on the equivariant cohomology of Lie group actions on manifolds, from the point of view of de Rham theory. Emphasis is put on the notion of equivariant formality, as well as on applications to ordinary cohomology and to fixed points.
New invariants for 3-manifolds derived from equivariant Cerf theory.
Paper uses algebraic methods to prove an equivariant Poincaré-Hopf theorem.
We investigate an equivariant generalization of Morse theory for a general class of integrable models. In particular, we derive equivariant versions of the classical Poincaré-Hopf and Gauss-Bonnet-Chern theorems and present the corresponding path integral generalizations. Our approach is based on equivariant cohomology…
Paper extends index theorem to odd-dimensional manifolds with even-dimensional boundaries.
We compute the equivariant -theory for a simply connected Lie group (acting on itself by conjugation). We prove that is isomorphic to the algebra of Grothendieck differentials on the representation ring. We also study a special example of a non-simply connected Lie group , namely PSU(3),…
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…
Category theory enhances understanding of group-equivariant neural networks.
Universal MLPs with a single hidden layer can learn any function.
A bound on knot unknotting using equivariant signature.
The purpose of this paper is to construct and study equivariant Khovanov homology - a version of Khovanov homology theory for periodic links. Since our construction works regardless of the characteristic of the coefficient ring it generalizes a previous construction by Chbili. We establish invariance under equivariant …
New invariants from Seiberg-Witten theory for 3-spheres with involution.
In this paper, we first establish a K-theory version of the equivariant family index theorem for a circle action, then use it to prove several rigidity and vanishing theorems on the equivariant K-theory level.
In this paper, we develop a theory about the relationship between -invariant/equivariant functions and deep neural networks for finite group . Especially, for a given -invariant/equivariant function, we construct its universal approximator by deep neural network whose layers equip -actions and each affine t…
The objective of this paper is to clarify the relationships between the quantum D-module and equivariant Floer theory. Equivariant Floer theory was introduced by Givental in his paper ``Homological Geometry''. He conjectured that the quantum D-module of a symplectic manifold is isomorphic to the equivariant Floer cohom…
Goresky, Kottwitz and MacPherson have recently shown that the computation of the equivariant cohomology ring of a G-manifold can be reduced to a computation in graph theory. This opens up the possibility that many of the fundamental theorems in equivariant de Rham theory may, on closer inspection, turn out simply to be…
Equivariant T-duality connects bundles with twists.
There are fundamental open problems in the precise global nature of RR-field tadpole cancellation conditions in string theory. Moreover, the non-perturbative lift as M5/MO5-anomaly cancellation in M-theory had been based on indirect plausibility arguments,lacking a microscopic underpinning in M-brane charge quantizatio…
L-CNNs preserve gauge symmetry in lattice simulations.
L-CNNs preserve gauge symmetry in neural networks.
Generalizes Molino's theory for Riemannian foliations.