English

Generalised Young Measures and characterisation of gradient Young Measures

Analysis of PDEs 2023-01-06 v1

Abstract

Given a function fC(Rd)f\in C(\mathbb{R}^d) of linear growth, we give a new way of representing accumulation points of \begin{equation} \int_\Omega f(v_i(z))d\mu(z), \end{equation} where μM+(Ω)\mu\in \mathcal{M}^+(\Omega), and (vi)iNL1(Ω,μ)(v_i)_{i\in \mathbb{N}}\subset L^1(\Omega,\mu) is norm bounded. We call such representations "generalised Young Measures". With the help of the new representations, we then characterise these limits when they are generated by gradients, i.e. when vi=Duiv_i = Du_i for uiW1,1(Ω,Rm)u_i\in W^{1,1}(\Omega,\mathbb{R}^m), via a set of integral inequalities.

Keywords

Cite

@article{arxiv.2301.02154,
  title  = {Generalised Young Measures and characterisation of gradient Young Measures},
  author = {Tommaso Seneci},
  journal= {arXiv preprint arXiv:2301.02154},
  year   = {2023}
}