The paper extends a measure preserving property to bi-Lipschitz maps between Moran sets.
arXiv research
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Convexity properties are preserved under radial transformations in hyperbolic and spherical geometries.
Isometries of metric spaces preserve all level sets of . We formulate and prove cases of a conjecture asserting if is a complete Riemannian manifold, then a function preserving at least one level set , with small enough, is an isometry.
This work preserves linear invariants in ensemble filters for non-Gaussian data assimilation.
Classifies geodesic-preserving bijections in Thurston geometries.
Finite rigid sets found in surface curve complexes.
New set class preserves Fourier series terms for planar ovals, leading to isoperimetric inequalities.
Flow preserves volume on flat torus, converging to stable set.
Sharp 3D Alexandrov inequality applied to volume-preserving flows.
New method preserves topology in Hodge decomposition for scalar and vector fields.
Asymmetric expansion preserves convexity in hyperbolic geometry.
In this article we introduce order preserving representations of fundamental groups of surfaces into Lie groups with bi-invariant orders. By relating order preserving representations to weakly maximal representations, introduced in arXiv:1305.2620, we show that order preserving representations into Lie groups of Hermit…
We show that the set of the equivalence classes of multifoliate structures is in one-to-one correspondence with the set of equivalence classes of finite complete projective systems of vector space epimorphisms. After that we give the complete description of all product preserving bundle functors on the categories of mu…
Ricci flow preserves positive sectional curvature on homogeneous spheres
In this article, we study the smooth mapping class group of a surface S relative to a given Cantor set, that is the group of isotopy classes of orientation-preserving smooth diffeomorphisms of S which preserve this Cantor set. When the Cantor set is the standard ternary Cantor set, we prove that the subgroup consisting…
Study reveals failure of uniqueness in dynamical invariants for 3D volume-preserving diffeomorphisms.
This paper speeds up SVC clustering by compressing data while preserving key properties.
Paper improves privacy in SGD with low noise, achieving optimal risk rates.
Cube category simplifies set modeling.
Preserving differential privacy has been well studied under centralized setting. However, it's very challenging to preserve differential privacy under multiparty setting, especially for the vertically partitioned case. In this work, we propose a new framework for differential privacy preserving multiparty learning in t…
The study proves uniqueness of large isoperimetric sets in specific noncompact manifolds.
Maps between circle bundles are studied, proving fiber-preserving and finiteness results for mapping degrees.
Spray-invariant sets maintain geodesics on infinite-dimensional manifolds.
The pure braid group cannot be realized as area-preserving homeomorphisms.
Study flat flow solutions to Mullins-Sekerka and area-preserving curvature flows on planar flat torus.
Method studies equivalence of second order ODEs under specific transformations.
We prove that Dranishnikov's -dimensional resolution is a UV-divider of Chigogidze's -dimensional resolution . This fact implies that preserves -sets. A further development of the concept of UV-dividers permits us to find sufficient conditions for $d_k^{-1}(…
Estimates for VPMCF show ancient MCF solutions and finite-time behavior.
Active learning holds promise of significantly reducing data annotation costs while maintaining reasonable model performance. However, it requires sending data to annotators for labeling. This presents a possible privacy leak when the training set includes sensitive user data. In this paper, we describe an approach for…
New method learns identity-preserving transformations on data manifolds without labels.
The paper studies the stability of volume and area preserving mean curvature flows in Schwarzschild and asymptotic Schwarzschild spaces.
New theorem shows shapes close to balls, flow converges to balls in 2D and 3D.
We prove two rigidity results for automorphism groups of the spaces ML(S) of measured laminations on a closed hyperbolic surface S and PML(S) of projective measured laminations on this surface. The results concern the homeomorphisms of ML(S) that preserve the geometric intersection between laminations and the homeomorp…
New deep learning method preserves orientation in shape matching.
Topologically and geometrically engaging actions have proved to be useful to obtain rigidity results for semisimple Lie group actions. We show that the action of a simple noncompact Lie group on a compact manifold preserving a unimodular rigid geometric structure of algebraic type (e.g. a connection together with a vol…
Surface diffusion and mean curvature flows converge to stable critical sets in flat tori.
We study the provenance of singularity formation under mean curvature flow and volume preserving mean curvature flow in an axially symmetric setting. We prove that if the mean curvature is uniformly bounded on any finite time interval, then no singularities can develop during that time under both mean curvature flow an…
An updated proof of a 1933 theorem of Goeritz, exhibiting a finite set of generators for the group of automorphisms of the 3-sphere that preserve a genus two Heegaard splitting. The group is analyzed via its action on a certain connected 2-complex. (The analogous problem for higher genus Heegaard splittings appears to …
We prove that certain volume preserving actions of Lie groups and their lattices do not preserve rigid geometric structures in the sense of Gromov. The actions considered are the "exotic" examples obtained by Katok and Lewis and the first author, by blowing up closed orbits in the well known actions on homogeneous spac…
Null Lagrangian-preserving surgeries are a generalization of the Garoufalidis and Rozansky null-moves, that these authors introduced to study the Kricker lift of the Kontsevich integral, in the setting of pairs (M,K) composed of a rational homology sphere M and a null-homologous knot K in M. They are defined as replace…
CoreFlow models matrix-valued distributions efficiently, preserving shared low-rank structure.
State-of-the-art subspace clustering methods are based on expressing each data point as a linear combination of other data points while regularizing the matrix of coefficients with , or nuclear norms. regularization is guaranteed to give a subspace-preserving affinity (i.e., there are no conne…
We examine the existence of one parameter groups of diffeomorphisms whose infinitesimal generators annihilate all scalar polynomial curvature invariants through the application of the Lie derivative, known as -preserving diffeomorphisms. Such mappings are a generalization of isometries and appear to be rel…
In the second, fourth and fifth authors' previous work, a duality on generic real analytic cuspidal edges in the Euclidean 3-space preserving their singular set images and first fundamental forms, was given. Here, we call this an `isometric duality'. When the singular set image has no symmetries and d…
In this article, we continue the work in \cite{GL} and study a normalized hypersurface flow in the more general ambient setting of warped product spaces. This flow preserves the volume of the bounded domain enclosed by a graphical hypersurface, and monotonically decreases the hypersurface area. As an application, the i…
The paper uses EVT to improve tail risk measures under ambiguity sets.
Secure Multiparty Computation protects data privacy in Symbolic Regression.
Paper proposes G-CRD to improve GNNs by preserving global graph topology.