Study of geometric analysis on asymmetric metric spaces, including heat flow and Sobolev spaces.
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Generalizes Thurston's asymmetric metric to flat metrics.
New metrics for Anosov representations defined from Thurston's asymmetric metrics.
We highlight several analogies between the Finsler (infinitesimal) properties of Teichmüller's metric and Thurston's asymmetric metric on Teichmüller space. Thurston defined his asymmetric metric in analogy with Teichmüllers' metric, as a solution to an extremal problem, which consists, in the case of the asymmetric me…
This paper studies gradient flows in asymmetric metric spaces and proves existence results.
Extends metric to Margulis spacetimes for convex properties.
We quantitatively relate the Patterson-Sullivant currents and generic stretching factors for free group automorphisms to the asymmetric Lipschitz metric on Outer space and to Guirardel's intersection number.
Paper proves rigidity theorems for geodesically reversible Finsler metrics.
New asymmetric metric on Teichmüller space for surfaces.
In the asymmetric setting, Hilbert's fourth problem asks to construct and study all (non-reversible) projective Finsler metrics: Finsler metrics defined on open, convex subsets of real projective -space for which geodesics lie on projective lines. While asymmetric norms and Funk metrics provide many examples of esse…
In this work we describe horofunction compactifications of metric spaces and finite dimensional real vector spaces through asymmetric metrics and asymmetric polyhedral norms by means of nonstandard methods, that is, ultrapowers of the spaces at hand. The polyhedral compactifications of the vector spaces carry the struc…
The paper tackles multi-player information asymmetry bandits in metric spaces.
We initiate the rigorous study of classification in quasi-metric spaces. These are point sets endowed with a distance function that is non-negative and also satisfies the triangle inequality, but is asymmetric. We develop and refine a learning algorithm for quasi-metrics based on sample compression and nearest neighbor…
New metric on geodesic currents connects different surface genera.
The paper describes geometric properties of Teichmüller space metrics.
New metrics derived from Hölder distortion on Hitchin components.
The paper studies curves in Finsler-like spaces and their properties.
We study the action of the elements of the mapping class group of a surface of finite type on the Teichmüller space of that surface equipped with Thurston's asymmetric metric. We classify such actions as elliptic, parabolic, hyperbolic and pseudo-hyperbolic, depending on whether the translation distance of such an elem…
Study on earthquake metric on Teichmüller space, proving properties and new completions.
On a convex body in a Euclidean space, we introduce a new variational formulation for its Funk metric, a Finsler metric compatible with the tautological Finsler structure of the convex body. We generalize the metric on Teichmuller spaces with the Weil-Petersson distance function. A set of similarities the resulting met…
The arc metric is an asymmetric metric on the Teichm{ü}ller space T(S) of a surface S with nonempty boundary. In this paper we study the relation between Thurston's compactification and the horofunction compactification of T(S) endowed with the arc metric. We prove that there is a natural homeomorphism between the two …
The aim of this paper is to relate Thurston's metric on Teichmüller space to several ideas initiated by T. Sorvali on isomorphisms between Fuchsian groups. In particular, this will give a new formula for Thurston's asymmetric metric for surfaces with punctures. We also update some results of Sorvali on boundary isomorp…
The Teichmüller space of a surface is equipped with Thurston's asymmetric metric. Stretch lines are oriented geodesics for this metric on . We give the asymptotic behavior of the lengths of the measured geodesic laminations as one follows a stretch line in the positive direction.
Random walks on free groups reveal asymmetric expansion factors.
New separation concepts for Anosov representations help bound Thurston asymmetric metric.
The paper defines a metric on Euclidean triangles and polygons, proving properties and completeness.
New insights into currents of Hitchin representations with combinatorial restrictions.
We introduce an asymmetric distance function, which we call the `left Hausdorff distance function', on the space of geodesic laminations on a closed hyperbolic surface of genus at least 2. This distance is an asymmetric version of the Hausdorff distance between compact subsets of a metric space. We prove a rigidity res…
We show that the length function of a measured geodesic lamination is convex in Thurston's shear coordinates over Teichmüller space and strictly convex for generic laminations. We give some consequences of this result in the context of Thurston's asymmetric metric on Teichmüller space.
The article confirms two quasi-alternating surgeries for 9 asymmetric L-space knots.
Characterizes isometries between non-reversible Finsler manifolds.
Generatability in metric spaces studied with novel novelty parameters.
New infinite family of knots found with unique properties.
We study the geometry of hyperbolic cone surfaces, possibly with cusps or geodesic boundaries. We prove that any hyperbolic cone structure on a surface of non-exceptional type is determined up to isotopy by the geodesic lengths of a finite specific homotopy classes of non-peripheral simple closed curves. As an applicat…
A new method uses asymmetric Shapley values to assess gene importance in clinical prediction models.
We construct the first examples of asymmetric L-space knots in . More specifically, we exhibit a construction of hyperbolic knots in with both (i) a surgery that may be realized as a surgery on a strongly invertible link such that the result of the surgery is the double branched cover of an alternating link …
Let be a complete hyperbolic surface of infinite type with geodesic boundary which admits a countable pair of pants decomposition. As an application of the Basmajian identity for complete bordered hyperbolic surfaces of infinite type with limit sets of 1-dimensional measure zero, we define an asymmetric metric …
We study the asymmetry of the Lipschitz metric d on Outer space. We introduce an (asymmetric) Finsler norm that induces d. There is an Out(F_n)-invariant potential Ψon Outer space such that when the Lipschitz norm is corrected by the derivative of Ψ, the resulting norm is quasisymmetric. As an application, we give new …
For a finitely generated group , we introduce an asymmetric pseudometric on projectivized deformation spaces of -trees, using stretching factors of -equivariant Lipschitz maps, that generalizes the Lipschitz metric on Outer space and is an analogue of the Thurston metric on Teichmüller space. We show that in t…
The paper extends Lipschitz metric isometries between Outer Spaces of virtually free groups.
New framework improves differential privacy for asymmetric datasets.
The paper explores families of Finsler metrics and their properties.
The nearest neighbor method together with the dynamic time warping (DTW) distance is one of the most popular approaches in time series classification. This method suffers from high storage and computation requirements for large training sets. As a solution to both drawbacks, this article extends learning vector quantiz…
Online Active Learning (OAL) aims to manage unlabeled datastream by selectively querying the label of data. OAL is applicable to many real-world problems, such as anomaly detection in health-care and finance. In these problems, there are two key challenges: the query budget is often limited; the ratio between classes i…
In 1986 William P. Thurston introduced the celebrated (asymmetric) Lipschitz distance on the Teichmueller space of a (closed or punctured) surface. In this paper we extend his work to the Teichmueller space of a surface with boundary endowed the arc distance. In this new setting we construct a large family of geodesics…
Extends multidimensional scaling to analyze three-way asymmetric proximities.
New asymmetric kernel methods improve feature learning.
Maps between acute triangles with minimal stretch found and studied.