In this note, we study deformations of a non-uniform real hyperbolic lattice in quaternionic hyperbolic spaces. Specially we show that the representations of the fundamental group of the figure eight knot complement into PU(2,1) cannot be deformed in out of PU(2,1) up to conjugacy.
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.
Trend · papers per month
The study finds that certain hyperbolic manifolds contain subgroups isomorphic to surface groups.
Study on Čech cohomology of Morse boundaries in hyperbolic manifolds.
Study complex hyperbolic lattices and their relation to strict hyperbolization.
Non-uniform lattices in PU(n,1) cannot geometrically act on CAT(0) cube complexes.
Proves spectral gap bounds for Teichmüller geodesics on flat surfaces.
New hyperbolic groups found with specific subgroup properties.
We discuss the geometry of some arithmetic orbifolds locally isometric to a product of real hyperbolic spaces of dimension two and three, and prove that certain sequences of non-uniform orbifolds are convergent to this space in a geometric ("Benjamini--Schramm") sense for hyperbolic three--space and a product of hyperb…
Study on curvature properties and Shafarevich conjecture for complex hyperbolic manifolds.
We prove that the semistability growth of hyperbolic groups is linear, which implies that hyperbolic groups which are sci (simply connected at infinity) have linear sci growth. Based on the linearity of the end-depth of finitely presented groups we show that the linear sci is preserved under amalgamated products over f…
The fundamental group of a Riemannian manifold with -pinched negative curvature, , cannot be the fundamental group of a quasicompact Kähler manifold. The proof also implies that a non-uniform lattice in cannot be the fundamental group of a quasicompact Kähler manifold. We also construct examples …
We study representations of lattices of PU(m,1) into PU(n,1). We show that if a representation is reductive and if m is at least 2, then there exists a finite energy harmonic equivariant map from complex hyperbolic m-space to complex hyperbolic n-space. This allows us to give a differential geometric proof of rigidity …
The paper proves conditions for non-uniform expansion in partially hyperbolic systems.
Suppose that all hyperbolic groups are residually finite. The following statements follow: In relatively hyperbolic groups with peripheral structures consisting of finitely generated nilpotent subgroups, quasiconvex subgroups are separable; Geometrically finite subgroups of non-uniform lattices in rank one symmetric sp…
We construct arithmetic Kleinian groups that are profinitely rigid in the absolute sense: each is distinguished from all other finitely generated, residually finite groups by its set of finite quotients. The Bianchi group with is rigid in this sense. Other examples include th…
Bounds on homology of hyperbolic orbifolds using simplicial models.
Study jigsaw constructions of hyperbolic lattices and answer questions on arithmeticity and pseudomodularity.
For a relatively hyperbolic group, we construct a model for the universal space among -spaces with isotropy on the family VC of virtually cyclic subgroups of . We provide a recipe for identifying the maximal infinite virtually cyclic subgroups of Coxeter groups which are lattices in $O^+(n,1)= \iso(\mathbb H^…
The study finds non-uniform lattices with thin Hitchin representations in specific Lie groups.
New approach to adversarial robustness with non-uniform perturbations.
This work studies the robustness certification problem of neural network models, which aims to find certified adversary-free regions as large as possible around data points. In contrast to the existing approaches that seek regions bounded uniformly along all input features, we consider non-uniform bounds and use it to …
New method upsamples sparse, non-uniform point clouds more accurately.
New approach finds minima of geodesic lengths for non-uniform fillings.
New method uses graphene transistors for efficient non-uniform random number generation.
Study shows how non-uniform scaling affects persistence diagrams.
Unified framework for non-uniform materials evolving over time.
New rigidity theorem for product of lattices.
As for the theory of maximal representations, we introduce the volume of a Zimmer's cocycle $Γ\times X \rightarrow \mbox{PO}^\circ(n, 1)$, where is a torsion-free (non-)uniform lattice in $\mbox{PO}^\circ(n, 1)$, with , and is a suitable standard Borel probability -space. Our numerical invariant ex…
We apply stochastic average gradient (SAG) algorithms for training conditional random fields (CRFs). We describe a practical implementation that uses structure in the CRF gradient to reduce the memory requirement of this linearly-convergent stochastic gradient method, propose a non-uniform sampling scheme that substant…
We study primal-dual type stochastic optimization algorithms with non-uniform sampling. Our main theoretical contribution in this paper is to present a convergence analysis of Stochastic Primal Dual Coordinate (SPDC) Method with arbitrary sampling. Based on this theoretical framework, we propose Optimality Violation-ba…
New method detects communities in complex hypergraphs, matching theoretical limits.
We present a novel method for neural network quantization that emulates a non-uniform -quantile quantizer, which adapts to the distribution of the quantized parameters. Our approach provides a novel alternative to the existing uniform quantization techniques for neural networks. We suggest to compare the results as …
New lattices in higher rank contain a fixed 3-manifold group with increasing systole.
Sharp threshold for exact recovery in non-uniform hypergraph stochastic block model.
We prove that if is a non-uniform lattice in a rank-one semi-simple Lie group $\ne Isom(\H^2_\R)$ then is quasi-isometrically co-Hopf. This means that every quasi-isometric embedding is coarsely onto and thus is a quasi-isometry.
Improved sampling accuracy in SG-MCMC methods via non-uniform gradient subsampling.
A groupoid called material groupoid is naturally associated to any simple body . The material distribution is introduced due to the (possible) lack of differentiability of the material groupoid. Thus, the inclusion of these new objects in the theory of material bodies opens th…
We construct a three-point compact finite difference scheme on a non-uniform mesh for the time-fractional Black-Scholes equation. We show that for special graded meshes used in finance, the Tavella-Randall and the quadratic meshes the numerical solution has a fourth-order accuracy in space. Numerical experiments are di…
The null distance for Lorentzian manifolds was recently introduced by Sormani and Vega. Under mild assumptions on the time function of the spacetime, the null distance gives rise to an intrinsic, conformally invariant metric that induces the manifold topology. We show when warped products of low regularity and globally…
We study the effectiveness of non-uniform randomized feature selection in decision tree classification. We experimentally evaluate two feature selection methodologies, based on information extracted from the provided dataset: \emph{leverage scores-based} and \emph{norm-based} feature selection. Experimenta…
Improved matrix completion for non-uniformly sampled data.
New loss function equivalence reveals PER's uniform sampling can be improved.
Convolutional Neural Networks (CNN) has become more popular choice for various tasks such as computer vision, speech recognition and natural language processing. Thanks to their large computational capability and throughput, GPUs ,which are not power efficient and therefore does not suit low power systems such as mobil…
Proof shows volumes of certain geometric representations are always integers.
Two algorithms converge to dictionary learning with geometric rate for non-uniform data.
Spectral algorithm recovers community structure in sparse hypergraphs.
The paper proves Zimmer's conjecture for non-uniform lattices by controlling mass escape and Lyapunov exponents.
Validates conformal prediction for network data under non-uniform sampling.