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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.

169,341 papers · 148 categories

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9192837 · May 202619922001200920182026
48 results for G-invariant spectrum

New technique shows non-orbifold singularities are undetectable by G-invariant spectrum.

problem Detecting non-orbifold singularities using the G-invariant spectrum.
method Generalized Sunada-Pesce-Sutton technique to the G-invariant setting.
result Found an isospectral pair of spaces, one orbifold and one with non-orbifold singularities.

Formula for Lichnerowicz Laplacian on invariant metrics, deducing stability of Einstein manifolds.

problem Stability of Einstein manifolds in homogeneous spaces.
method Formula for Lichnerowicz Laplacian, computation of spectra, analysis of scalar curvature.
result Deduction of GG-stability and critical point types of Einstein metrics.

We study quantum moment maps of GG-invariant star products, which are a quantum analogue of the moment map for classical Hamiltonian systems. Introducing an integral representation, we show that any quantum moment map for a GG-invariant star product is differentiable. This property gives us a new method for the class…

2002-10-03abs ↗pdf ↗

Let O be a nilpotent orbit in g^C where G is a compact, simple group and g=Lie(G). It is known that O carries a unique G-invariant hyperKähler metric admitting a hyperKähler potential compatible with the Kirillov-Kostant-Souriau symplectic form. In this work, the hyperKähler potential is explicitly calculated when O is…

2004-06-01abs ↗pdf ↗

We consider the equivariant Yamabe problem, i.e. the Yamabe problem on the space of G-invariant metrics for a compact Lie group G. The G-Yamabe invariant is analogously defined as the supremum of the constant scalar curvatures of unit volume G-invariant metrics minimizing the total scalar curvature functional in their …

2006-04-18abs ↗pdf ↗

This paper classifies GG-invariant shallow neural networks.

problem Designing optimal GG-invariant neural architectures for GG-invariant target functions.
method Proving theorems about the classification and morphisms of GG-invariant single-hidden-layer neural networks.
result Classification of GG-invariant shallow neural networks and characterization of morphisms.

The study proves a generic multiplicity one theorem for GG-invariant minimal hypersurfaces.

problem Proving a generic multiplicity one theorem for GG-invariant minimal hypersurfaces.
method Equivariant min-max theory and analysis of GG-homology classes.
result Shows a generic multiplicity one theorem for GG-invariant minimal hypersurfaces.

Compact Lie groups can be realized as automorphism groups of Riemannian manifolds.

problem Realizing compact Lie groups as automorphism groups of Riemannian manifolds.
method Analyzing invariant metrics and their automorphism groups.
result The space of GG-invariant metrics whose automorphism groups preserve GG-orbits is dense GδG_δ in the space of all GG-invariant metrics.

Ricci flow on certain homogeneous spaces creates metrics with positive curvature.

problem Finding metrics with positive Ricci curvature on specific homogeneous spaces.
method Normalized Ricci flow on simply connected homogeneous spaces with two equivalent isotropy summands.
result Every G-invariant metric evolves to one with positive Ricci curvature under Ricci flow.

The paper proves the existence of GG-invariant minimal hypersurfaces on certain Riemannian manifolds.

problem Existence of GG-invariant minimal hypersurfaces on specific Riemannian manifolds.
method Adapted Almgren-Pitts min-max theory to a GG-equivariant version.
result Existence of nontrivial closed smooth embedded GG-invariant minimal hypersurfaces.

Study analyzes spectral properties on specific geometric spaces.

problem Investigates spectral analysis on standard locally homogeneous spaces.
method Uses branching laws and invariant differential operators on spherical homogeneous spaces.
result Proves essential self-adjointness and infinite point spectrum for certain spaces.

The paper studies Randers and (α,β)(α,β) equigeodesics on compact homogeneous manifolds.

problem Characterizing equigeodesics on compact homogeneous manifolds.
method Analyzing different types of equigeodesics (Riemannian, Finsler, Randers, (α,β)(α,β)) on compact homogeneous manifolds.
result Randers and (α,β)(α,β) equigeodesics are equivalent on compact homogeneous manifolds, and a criterion is found.

Classifies reversible Finsler metrics with positive curvature.

problem Classifying homogeneous reversible Finsler metrics with positive flag curvature.
method Classification based on G-invariant metrics and curvature properties.
result Exceptions exist where homogeneous Finsler metrics with positive flag curvature are not known.

Describes metrics on homogeneous spaces with equivalent isotropy summands.

problem Finding GG-invariant metrics on homogeneous spaces with equivalent isotropy summands.
method One-to-one correspondence between invariant metrics and inner products on tangent spaces, considering isotropy representations.
result Provides a systematic description of such metrics, simplifying the problem of finding GG-invariant Einstein metrics.

The paper generalizes free boundary min-max theory to equivariant settings.

problem Existence of minimal hypersurfaces with free boundary in manifolds with boundary.
method Free boundary min-max theory generalized to equivariant settings.
result Existence of nontrivial smooth almost properly embedded GG-invariant minimal hypersurfaces with free boundary.

Constructing eigenfunctions for finite-time singularities in Lagrangian mean curvature flow

problem Constructing eigenfunctions for finite-time singularities in Lagrangian mean curvature flow
method Constructing eigenfunctions for finite-time singularities in Lagrangian mean curvature flow
result Identifying the lowest eigenfunction with the scaling mode of the special Lagrangian desingularization

The paper studies invariant metrics with positive scalar curvature on 3-manifolds.

problem Classifying GG-invariant 3-manifolds with positive scalar curvature.
method Analyzes the space of GG-invariant Riemannian metrics with positive scalar curvature on closed 3-manifolds.
result The space of GG-invariant PSC metrics is either empty or contractible.

Let MM be a Riemannian manifold with a polar action by the Lie group GG, with section ΣMΣ\subset M and generalized Weyl group WW. We show that restriction to ΣΣ is a surjective map from the set of smooth GG-invariant tensors on MM onto the set of smooth WW-invariant tensors on ΣΣ. Moreover, we show that every s…

2013-08-11abs ↗pdf ↗

Deep neural networks can approximate invariant/equivariant functions with fewer parameters.

problem Approximating functions that respect group symmetries with neural networks.
method Constructing deep neural networks with GG-actions and GG-equivariant/invariant affine transformations.
result Deep neural networks can approximate GG-invariant/equivariant functions with exponentially fewer parameters.

Let GG be a compact connected Lie group and HH a closed subgroup of GG. Suppose the homogeneous space G/HG/H is effective and has dimension 3 or higher. Consider a GG-invariant, symmetric, positive-semidefinite, nonzero (0,2)-tensor field TT on G/HG/H. Assume that HH is a maximal connected Lie subgroup of GG. We p…

2015-04-07abs ↗pdf ↗

On a smooth closed oriented 44-manifold MM with a smooth action of a finite group GG on a Spinc^c structure, GG-monopole invariant is defined by "counting" GG-invariant solutions of Seiberg-Witten equations for any GG-invariant Riemannian metric on MM. We compute GG-monopole invariants on some GG-manifolds. F…

2014-06-17abs ↗pdf ↗

Invariant Kähler metrics on line bundles are derived from the Calabi ansatz.

problem Finding invariant scalar-flat Kähler metrics on line bundles over generalized flag varieties.
method Proved using the Calabi ansatz and uniqueness in each Kähler class.
result Existence of a unique scalar-flat Kähler metric in each Kähler class.

New research shows invariant networks can approximate any continuous function.

problem Can invariant networks approximate any continuous invariant function?
method Considered a general case where GG acts on Rn\mathbb{R}^n by permuting coordinates. Proved two main results: 1) GG-invariant networks are universal with high-order tensors, 2) higher-order tensors are necessary for universality with some groups.
result Invariant networks can approximate any continuous invariant function under certain conditions.

New neural network architectures use signed permutation representations for finite groups, improving performance.

problem Designing and optimizing neural networks for finite groups with signed permutation representations.
method Introduces GG-invariant deep neural networks with densely connected layers and signed permutation representations.
result Signed permutation representations lead to significantly better performance in classification tasks.

In this paper, we characterize the dynamic of every abelian subgroups G\mathcal{G} of GL(nn, K\mathbb{K}), K=R\mathbb{K} = \mathbb{R} or C\mathbb{C}. We show that there exists a G\mathcal{G}-invariant, dense open set UU in Kn\mathbb{K}^{n} saturated by minimal orbits with KnU\mathbb{K}^{n}- U a union of at most nn

2005-01-10abs ↗pdf ↗