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In this paper, we prove the Smulian s theorem on Frechet differentiability of norm,and present some of its geometric results concerning the Gateaux and Frechet differentiability of norm and properties of the allied space and its dual such…

Functional Analysis · Mathematics 2009-01-31 A. Assadi , Hadi Haghshenas , H. Hosseini Guive

We establish finite-sample error bounds in expectation for transformed Fr\'echet means in Hadamard spaces under minimal assumptions. Transformed Fr\'echet means provide a unifying framework encompassing classical and robust notions of…

Statistics Theory · Mathematics 2025-11-11 Christof Schötz

This paper introduces specular differentiation, which generalizes G\^ateaux and Fr\'echet differentiation in normed vector spaces. We investigate its fundamental theoretical properties and establish weak forms of the Mean Value Theorem and…

Optimization and Control · Mathematics 2026-05-27 Kiyuob Jung

The aim of this paper is to to show the admissibility of some class of Frechet spaces (see Definition 2.3). In particular, this generalizes the main results of [3]. As an application, we show the admissibility of a large class modular…

Functional Analysis · Mathematics 2021-12-02 Maciej Ciesielski , Grzegorz Lewicki

The aim of this article is to present the category of bounded Frechet manifolds in respect to which we will review the geometry of Frechet manifolds with a stronger accent on its metric aspect. An inverse function theorem in the sense of…

Differential Geometry · Mathematics 2011-11-09 Olaf Müller

Fr\'echet means are indispensable for nonparametric statistics on non-Euclidean spaces. For suitable random variables, in some sense, they "sense" topological and geometric structure. In particular, smeariness seems to indicate the presence…

Statistics Theory · Mathematics 2021-03-02 Do Tran , Benjamin Eltzner , Stephan Huckemann

We develop a discrete counterpart of the De Giorgi-Nash-Moser theory, which provides uniform H\"older-norm bounds on continuous piecewise affine finite element approximations of second-order linear elliptic problems of the form $-\nabla…

Numerical Analysis · Mathematics 2021-03-26 Lars Diening , Toni Scharle , Endre Süli

A local normal form theorem for smooth equivariant maps between Fr\'echet manifolds is established. Moreover, an elliptic version of this theorem is obtained. The proof these normal form results is inspired by the Lyapunov-Schmidt reduction…

Symplectic Geometry · Mathematics 2019-09-04 Tobias Diez

In this paper we present full characterizations of multifunctions admitting a measurable by seminorm selector in Frechet spaces.

Functional Analysis · Mathematics 2022-06-22 Sokol Bush Kaliaj

Inspired by a recent article on Fr\'echet spaces of ordinary Dirichlet series $\sum a_n n^{-s}$ due to J.~Bonet, we study topological and geometrical properties of certain scales of Fr\'echet spaces of general Dirichlet spaces $\sum a_n…

Functional Analysis · Mathematics 2020-12-16 Andreas Defant , Tomas Fernandez-Vidal , Ingo Schoolmann , Pablo Sevilla-Peris

We provide a convergence result for sequences of random variables taking values in a metric space that satisfy a stochastic quasi-Fej\'er monotonicity condition, in the context of a (local) compactness assumption. Our result is quantitative…

Optimization and Control · Mathematics 2026-02-27 Morenikeji Neri , Nicholas Pischke , Thomas Powell

Fr\'echet means, conceptually appealing, generalize the Euclidean expectation to general metric spaces. We explore how well Fr\'echet means can be estimated from independent and identically distributed samples and uncover a fundamental…

Statistics Theory · Mathematics 2024-02-20 Shayan Hundrieser , Benjamin Eltzner , Stephan F. Huckemann

The Fr\'echet mean generalizes the concept of a mean to a metric space setting. In this work we consider equivariant estimation of Fr\'echet means for parametric models on metric spaces that are Riemannian manifolds. The geometry and…

Statistics Theory · Mathematics 2021-04-09 Andrew McCormack , Peter Hoff

Fr\'echet means are a popular type of average for non-Euclidean datasets, defined as those points which minimise the average squared distance to a set of data points. We consider the behaviour of sample Fr\'echet means on normed spaces…

Probability · Mathematics 2026-03-18 Roan Talbut , Andrew McCormack , Anthea Monod

We study the continuity regularity of functions in the complex Sobolev spaces. As applications, we obtain Hermitian generalizations of a recent result due Guedj-Guenancia-Zeriahi on the diameters of Kaehler metrics.

Complex Variables · Mathematics 2024-06-25 Duc-Viet Vu

We study transversality for Lipschitz-Fredholm maps in the context of bounded Fr\'{e}chet manifolds. We show that the set of all Lipschitz-Fredholm maps of a fixed index between Fr\'{e}chet spaces has the transverse stability property. We…

Differential Geometry · Mathematics 2016-04-01 Kaveh Eftekharinasab

A suitable measure for the similarity of shapes represented by parameterized curves or surfaces is the Fr\'echet distance. Whereas efficient algorithms are known for computing the Fr\'echet distance of polygonal curves, the same problem for…

Computational Geometry · Computer Science 2007-05-23 Helmut Alt , Maike Buchin

We provide in a unified way quantitative forms of strong convergence results for numerous iterative procedures which satisfy a general type of Fejer monotonicity where the convergence uses the compactness of the underlying set. These…

Logic · Mathematics 2015-08-25 Ulrick Kohlenbach , Laurentiu Leustean , Adriana Nicolae

We prove an implicit function theorem for Keller C^k_c-maps from arbitrary real or complex topological vector spaces to Frechet spaces, imposing only a certain metric estimate on the partial differentials. As a tool, we show the…

Functional Analysis · Mathematics 2007-05-23 Helge Glockner

In this article, we study the consistency of the template estimation with the Fr\'echet mean in quotient spaces. The Fr\'echet mean in quotient spaces is often used when the observations are deformed or transformed by a group action. We…

Statistics Theory · Mathematics 2017-04-27 Loïc Devilliers , Stéphanie Allassonnière , Alain Trouvé , Xavier Pennec