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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.

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48 results for symmetry rank

New rigidity results for manifolds with maximal symmetry rank and positive intermediate Ricci curvature.

problem Understanding the structure of manifolds with maximal symmetry rank and positive intermediate Ricci curvature.
method Recovering stronger topological rigidity results using higher intermediate Ricci curvatures and nontrivial fundamental groups.
result Stronger topological rigidity results for manifolds with maximal symmetry rank and positive intermediate Ricci curvature.

We show that the indices of certain twisted Dirac operators vanish on a SpinSpin-manifold MM of positive sectional curvature if the symmetry rank of MM is 2\geq 2 or if the symmetry rank is one and MM is two connected. We also give examples of simply connected manifolds of positive Ricci curvature which do not admit …

2001-04-26abs ↗pdf ↗

Study manifolds with positive intermediate Ricci curvature and large symmetry rank.

problem Closed, simply connected manifolds with positive 2nd-intermediate Ricci curvature and large symmetry rank.
method New tools for studying isometric actions on closed manifolds with positive kth-intermediate Ricci curvature, including isotropy rank lemma, symmetry rank bound, and connectedness principle.
result Even dimensional manifolds with large symmetry rank must have trivial odd degree integral cohomology and are either spheres or complex projective spaces.

We prove an obstruction at the level of rational cohomology in small degrees to the existence of positively curved metrics with large symmetry rank. The symmetry rank bound is logarithmic in the dimension of the manifold. As an application, we provide evidence for a generalized conjecture of Hopf that says that no symm…

2012-09-20abs ↗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.

We use a local argument to prove if an rr-dimensional torus acts isometrically and effectively on a connected nn-dimensional manifold which has positive kthk^\mathrm{th}-intermediate Ricci curvature at some point, then rn+k2r \leq \lfloor \frac{n+k}{2} \rfloor. This symmetry rank bound generalizes those established by Gr…

2019-01-15abs ↗pdf ↗

In this paper we show that a simply connected 8-dimensional manifold M of positive sectional curvature and symmetry rank 2\geq 2 resembles a rank one symmetric space in several ways. For example, the Euler characteristic of M is equal to the Euler characteristic of S^8, H P^2 or C P^4. And if M is rationally elliptic …

2008-11-06abs ↗pdf ↗

The study examines the stretch factors of outer automorphisms and their latent symmetry.

problem Understanding stretch factors of outer automorphisms in free groups.
method Analyzes the latent symmetry of graphs and uses it to bound stretch factors.
result A precise notion of latent symmetry provides a lower bound on the number of folds required.

Transformers without skip connections collapse token representations to a single direction.

problem Rapid convergence of token representations to a single direction in self-attention-only Transformers.
method Analysis of layer normalization, residual connections, and multi-head attention mechanisms.
result Residual connections prevent rank collapse in real Transformers, while MLPs generate new feature directions.

Researchers classify differential operators between 3-sphere and 2-sphere bundles.

problem Classifying differential symmetry breaking operators between 3-sphere and 2-sphere bundles.
method Constructing and classifying all differential symmetry breaking operators D_{λ,ν}^m.
result Necessary and sufficient conditions for the existence of these operators.

LoRAs enable efficient adaptation of large models; this paper explores processing LoRA weights with machine learning.

problem Efficient processing of low-rank weight decompositions in large finetuned models.
method Developed symmetry-aware invariant and equivariant LoL models to process LoRA weights.
result LoL models can predict CLIP scores, finetuning data attributes, and accuracy on downstream tasks.

A quaternionic Kähler manifold M is called {\it positive} if it has positive scalar curvature. The main purpose of this paper is to prove several connectedness theorems for quaternionic immersions in a quaternionic Kähler manifold, e.g. the Barth-Lefschetz type connectedness theorem for quaternionic submanifolds in a p…

2003-08-14abs ↗pdf ↗

We give a complete classification of intertwining operators (symmetry breaking operators) between spherical principal series representations of G=O(n+1,1) and G'=O(n,1). We construct three meromorphic families of the symmetry breaking operators, and find their distribution kernels and their residues at all poles explic…

2013-10-11abs ↗pdf ↗

Symmetry in loss functions constrains model parameters, leading to specific learning outcomes.

problem Understanding and leveraging symmetries in neural networks to improve learning outcomes.
method Analyzing the impact of loss function symmetries on model parameters and learning behavior.
result Mirror-reflection symmetries in loss functions lead to constraints on model parameters, influencing learning outcomes.

Let M0n\mathcal{M}_{0}^n be the class of closed, simply-connected, non-negatively curved Riemannian manifolds admitting an isometric, effective, isotropy-maximal torus action. We prove that if MM0nM\in \mathcal{M}_{0}^n, then MM is equivariantly diffeomorphic to the free linear quotient by a torus of a product of spheres…

2015-06-29abs ↗pdf ↗

New findings on neural network identifiability using affine symmetries.

problem Identifying all neural networks that produce a given function.
method Examined affine symmetries of nonlinearities and their impact on neural network identifiability.
result Symmetries can be used to find a rich set of networks giving rise to the same function, except for a special case.

We discuss the integrability of rank 2 sub-Riemannian structures on low-dimensional manifolds, and then prove that some structures of that type in dimension 6, 7 and 8 have a lot of symmetry but no integrals polynomial in momenta of low degrees, except for those coming from the Killing fields and the Hamiltonian, thus …

2015-07-11abs ↗pdf ↗

The paper explores Higgs bundles and their moduli spaces on Riemann surfaces.

problem Developing the moduli theory of Higgs bundles and understanding their geometric properties.
method Establishing non-abelian Hodge correspondences and studying Hitchin fibration.
result Computing the Poincaré polynomial of rank 2 moduli space and verifying topological mirror symmetry.

We prove that if a closed, smooth, simply-connected 4-manifold with a circle action admits an almost non-negatively curved sequence of invariant Riemannian metrics, then it also admits a non-negatively curved Riemannian metric invariant with respect to the same action. The same is shown for torus actions of higher rank…

2019-07-15abs ↗pdf ↗

Let GG be a higher-rank semisimple Lie group over a nonarchimedean local field, for example G=PGL(n,QP)G={\rm PGL}(n,Q_P). To any lattice LL in GG there is an associated simplicial complex BLB_L, given by the quotient by LL of the Bruhat-Tits building associated to GG. In this paper prove that the simplicial structure $B_L…

2010-06-18abs ↗pdf ↗

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 ↗

Study of multi-toric geometries with larger compact symmetry groups.

problem Exploring manifolds with special holonomy and toric structures.
method Analyzing manifolds with multi-moment maps and connected non-Abelian symmetry groups.
result Only structures with cohomogeneity-two action of T3imesSU(2)T^{3} imes \mathrm{SU}(2) for Spin(7)\mathrm{Spin}(7)-manifolds.

Paper proposes a method to break symmetries in Bayesian matrix factorization.

problem Symmetries in posterior distribution reduce MCMC sampling efficiency.
method Modification to Gaussian prior mean and covariance to break symmetries.
result Breaking symmetries leads to lower autocorrelation and reconstruction errors.