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We establish optimal continuity results for the action of the Hessian determinant on spaces of Besov type into the space of distributions on $\mathbb{R}^N$. In particular, inspired by recent work of Brezis and Nguyen on the distributional…

Analysis of PDEs · Mathematics 2014-11-20 Eric Baer , David Jerison

In this paper we give a positive answer to a question raised by Baer-Jerison in connection with hyper-Jacobian determinants and associated minors in fractional Sobolev spaces. Inspired by recent works of Brezis-Nguyen and Baer-Jerison on…

Analysis of PDEs · Mathematics 2018-08-23 Qiang Tu , Chuanxi Wu , Xueting Qiu

In our previous paper on this topic, we introduced the notion of k-Hessian measure associated with a continuous k-convex function in a domain \Om in Euclidean n-space, k=1,...,n, and proved a weak continuity result with respect to local…

Functional Analysis · Mathematics 2007-05-23 Neil S. Trudinger , Xu-Jia Wang

We define distributions on an abstract measure space endowed with a sequence of partitions, and introduce analogues of Besov spaces with negative smoothness in this setting. In particular, we describe these spaces of distributions using…

Analysis of PDEs · Mathematics 2025-11-27 Mateus Marra , Pedro Morelli , Daniel Smania

It is shown that inner functions in weak Besov spaces are precisely the exponential Blaschke products.

Classical Analysis and ODEs · Mathematics 2018-10-01 Janne Gröhn , Artur Nicolau

We establish the weak Banach-Saks property for function spaces arising as the optimal domain of an operator.

Functional Analysis · Mathematics 2015-12-18 Guillermo P. Curbera , Werner J. Ricker

This work is the continuation of the recent paper \cite{D2} devoted to the density-dependent incompressible Euler equations. Here we concentrate on the well-posedness issue in Besov spaces of type $B^s_{\infty,r}$ embedded in the set of…

Analysis of PDEs · Mathematics 2013-05-07 Raphaël Danchin , Francesco Fanelli

Our main purpose in this paper is to investigate a supercritical Sobolev-type inequality for the $k$-Hessian operator acting on $\Phi^{k}_{0,\mathrm{rad}}(B)$, the space of radially symmetric $k$-admissible functions on the unit ball…

Analysis of PDEs · Mathematics 2024-04-01 José Francisco de Oliveira , Pedro Ubilla

We identify the wave maps type nonlinearities of incompressible Hookean elastodynamics equations in Lagerangian coordinates, and iterate them in the adapted $U^2$-type spaces to prove the small data global well-posedness in the critical…

Analysis of PDEs · Mathematics 2024-09-23 Zexian Zhang , Yi Zhou

H-distributions associated to weakly convergent sequences in Sobolev spaces are determined. It is shown that a weakly convergent sequence $(u_n)$ in $W^{-k,p}( \R^d)$ has the property that $\theta u_n$ converges strongly in $W^{-k,p}(\R^d)$…

Analysis of PDEs · Mathematics 2016-09-20 Jelena Aleksic , Stevan Pilipovic , Ivana Vojnovic

In this paper we establish weak continuity results for the distribution Jacobian minors in fractional sobolev spaces, which can be seen as a extension of recent work of Brezis and Nguyen on the distributional Jacobian determinant. Then we…

Analysis of PDEs · Mathematics 2018-04-04 Qiang Tu , Chuanxi Wu

Previous results on Hessian measures by Trudinger and Wang are extended to the subelliptic case. Specifically we prove the weak continuity of the 2-Hessian operator, with respect to local L1 convergence, for a system of m vector fields of…

Analysis of PDEs · Mathematics 2007-05-23 Neil S Trudinger

The purpose of this paper is to characterize the homogeneous Besov space in the Dunkl setting. We utilize a new discrete reproducing formula, that is, the building blocks are differences of the Dunkl-Poisson kernel which involves both the…

Classical Analysis and ODEs · Mathematics 2025-01-22 Mengmeng Dou , Jiashu Zhang

Recent work has attempted to directly approximate the `function-space' or predictive posterior distribution of Bayesian models, without approximating the posterior distribution over the parameters. This is appealing in e.g. Bayesian neural…

Machine Learning · Statistics 2020-11-19 David R. Burt , Sebastian W. Ober , Adrià Garriga-Alonso , Mark van der Wilk

We introduce Besov spaces with variable smoothness and integrability by using the continuous version of Calder\`on reproducing formula. We show that our space is well-defined, i.e., independent of the choice of basis functions. We…

Functional Analysis · Mathematics 2017-11-27 Douadi Drihem

We propose an algorithm for Bayesian functional optimisation - that is, finding the function to optimise a process - guided by experimenter beliefs and intuitions regarding the expected characteristics (length-scale, smoothness, cyclicity…

Machine Learning · Computer Science 2020-09-09 Alistair Shilton , Sunil Gupta , Santu Rana , Svetha Venkatesh

We prove upper and lower bounds for a variational functional for convex functions satisfying certain boundary conditions on a sector of the unit ball in two dimensions. The functional contains two terms: The full Hessian and its…

Analysis of PDEs · Mathematics 2024-02-06 Peter Gladbach , Heiner Olbermann

This paper develops a theory of Besov spaces $\dot{\mathbf{B}}^{\sigma}_{p,q} (N)$ and Triebel-Lizorkin spaces $\dot{\mathbf{F}}^{\sigma}_{p,q} (N)$ on an arbitrary homogeneous group $N$ for the full range of parameters $p, q \in (0,…

Functional Analysis · Mathematics 2025-01-16 Guorong Hu , David Rottensteiner , Michael Ruzhansky , Jordy Timo van Velthoven

We continue the study of the space $BV^\alpha(\mathbb R^n)$ of functions with bounded fractional variation in $\mathbb R^n$ and of the distributional fractional Sobolev space $S^{\alpha,p}(\mathbb R^n)$, with $p\in [1,+\infty]$ and…

Functional Analysis · Mathematics 2023-09-07 Elia Bruè , Mattia Calzi , Giovanni E. Comi , Giorgio Stefani

We here construct (large) local and small global-in-time regular unique solutions to the fractional Euler alignment system in the whole space ${\mathbb R}^d$, in the case where the deviation of the initial density from a constant is…

Analysis of PDEs · Mathematics 2018-06-01 Raphaël Danchin , Piotr B. Mucha , Jan Peszek , Bartosz Wróblewski
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