arXiv research

In this paper we investigate the relationship between a general existence of transport maps of optimal couplings with absolutely continuous first marginal and the property of the background measure called essentially non-branching introduced by Rajala-Sturm (Calc.Var.PDE 2014). In particular, it is shown that the quali…

The study presents examples of $CD(0,N)$ spaces with varying dimensions and discusses the limitations of the $CD(0,N)$ condition.

Proposes a new metric space example showing non-constant topological dimension.

The study introduces hyperbolic angles in Lorentzian spaces and characterizes curvature bounds.

We prove that the results regarding the Isoperimetric inequality and Cheeger constant formulated in terms of the Minkowski content, obtained by the authors in previous papers in the framework of essentially non-branching metric measure spaces verifying the local curvature dimension condition, also hold in the stronger …

Uniform bounds on ends for non-branching CD spaces with nonnegative curvature outside a compact set.

Proves sufficiency of countable test plans for BV functions on metric spaces.

We prove that if $(X,\mathsf d,\mathfrak m)$ is an essentially non-branching metric measure space with $\mathfrak m(X)=1$, having Ricci curvature bounded from below by $K$ and dimension bounded from above by $N \in (1,\infty)$, understood as a synthetic condition called Measure-Contraction property, then a sharp isoper…

In this note we prove the Heintze-Karcher inequality in the context of essentially non-branching metric measure spaces satisfying a lower Ricci curvature bound in the sense of Lott-Sturm-Villani. The proof is based on the the needle decomposition technique for metric measure spaces introduced by Cavalletti-Mondino. Mor…

We identify branched coverings (continuous open surjections p:Y->X of Hausdorff spaces with uniformly bounded number of pre-images) with Hilbert C*-modules C(Y) over C(X) and with faithful unital positive conditional expectations E:C(Y)->C(X) topologically of index-finite type. The case of non-branched coverings corres…

Study shows volume constraints lead to isoperimetric constant bounds in specific metric spaces.

We prove that in metric measure spaces where the entropy functional is K-convex along every Wasserstein geodesic any optimal transport between two absolutely continuous measures with finite second moments lives on a non-branching set of geodesics. As a corollary we obtain that in these spaces there exists only one opti…

Motivated by a classical comparison result of J. C. F. Sturm we introduce a curvature-dimension condition CD(k,N) for general metric measure spaces and variable lower curvature bound k. In the case of non-zero constant lower curvature our approach coincides with the celebrated condition that was proposed by K.-T. Sturm…

Timelike curvature and Brunn-Minkowski inequality linked in non-smooth spacetimes.

The paper extends completeness notions to low-regularity spacetimes.

Paper proves Hölder continuity of tangent cones in RCD(K,N) spaces.

In this note we continue the analysis of metric measure space with variable ricci curvature bounds. First, we study $(κ,N)$-convex functions on metric spaces where $κ$ is a lower semi-continuous function, and gradient flow curves in the sense of a new evolution variational inequality that captures the information that …

Klartag recently gave a beautiful alternative proof of the isoperimetric inequalities of Levy-Gromov, Bakry-Ledoux, Bayle and E. Milman on weighted Riemannian manifolds. Klartag's approach is based on a generalization of the localization method (so-called needle decompositions) in convex geometry, inspired also by opti…

We study optimal transportation with the quadratic cost function in geodesic metric spaces satisfying suitable non-branching assumptions. We introduce and study the notions of slope along curves and along geodesics and we apply the latter to prove suitable generalizations of Brenier's theorem of existence of optimal ma…

In this paper we provide a systematic treatment of Willmore surfaces with orientation reversing symmetries and illustrate the theory by (old and new) examples. We apply our theory to isotropic Willmore two-spheres in $S^4$ and derive a necessary condition for such ( possibly branched) isotropic surfaces to descend to (…

Proves metric measure spaces with certain properties are one-dimensional.

Sharp eigenvalue bounds on metric measure spaces extend Cheng's theorem.

We prove a sharp Poincaré inequality for subsets $Ω$ of (essentially non-branching) metric measure spaces satisfying the Measure Contraction Property $\textrm{MCP}(K,N)$, whose diameter is bounded above by $D$. This is achieved by identifying the corresponding one-dimensional model densities and a localization argument…

New sub-Riemannian structures fail synthetic curvature bounds.

The paper examines rigidity of metric constructions in Wasserstein spaces.

We show that for a taut foliation F with one-sided branching of an atoroidal 3-manifold M, one can construct a pair of genuine laminations with solid torus complementary regions which bind every leaf of F in a geodesic lamination. These laminations come from a universal circle, a refinement of the universal circles pro…

Generates samples conditioned on labels using optimal transport.

The paper classifies Finsler surfaces satisfying the T-condition or σT-condition.

The paper develops a new approach to conditional risk measures using modular convex analysis.

Paper constructs solutions to Bogomolny equations with specific boundary and asymptotic conditions.

We extend probabilistic programming to handle conditioning on marginal distributions.

New tests for conditional copulas based on decision trees.

Paper finds necessary condition for logarithmic Minkowski problem in higher dimensions.

This paper introduces a neural operator for probabilistic conditioning.

CSI method learns conditional distributions by estimating flow equations.

New conditional risk measures called conditional generalized quantiles defined and characterized.

A new method for learning conditional distributions using ODEs and neural networks.

Sharp statistical theory for conditional diffusion models.

An analysis is made of reality conditions within the context of noncommutative geometry. We show that if a covariant derivative satisfies a given left Leibniz rule then a right Leibniz rule is equivalent to the reality condition. We show also that the matrix which determines the reality condition must satisfy the Yang-…

New conditions prevent gaps in optimal control problems.

We identify conditional parity as a general notion of non-discrimination in machine learning. In fact, several recently proposed notions of non-discrimination, including a few counterfactual notions, are instances of conditional parity. We show that conditional parity is amenable to statistical analysis by studying ran…

We consider families of strongly consistent multivariate conditional risk measures. We show that under strong consistency these families admit a decomposition into a conditional aggregation function and a univariate conditional risk measure as introduced Hoffmann et al. (2016). Further, in analogy to the univariate cas…

Develops a rigorous theory for conditional mean embeddings.

Proposes a new method for interpreting feature importance and effects in dependent feature models.

New boundary conditions solve Cauchy problem for Dirac operators on spacetimes.

We extend CS divergence to conditional distributions and show its advantages in time series data and sequential decision making.

The Samuelson condition is not satisfied by tangent lines of quadratic curves.

We describe a Groebner basis of relations among conditional probabilities in a discrete probability space, with any set of conditioned-upon events. They may be specialized to the partially-observed random variable case, the purely conditional case, and other special cases. We also investigate the connection to generali…