<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
handle: 2158/1205046
A new class of continuous valuations on the space of convex functions on $\mathbb{R}^n$ is introduced. On smooth convex functions, they are defined for $i=0,\dots,n$ by \begin{equation*} u\mapsto \int_{\mathbb{R}^n} ��(u(x),x,\nabla u(x))\,[\operatorname{D}^2 u(x)]_i\,{\rm d} x \end{equation*} where $��\in C(\mathbb{R}\times\mathbb{R}^n\times\mathbb{R}^n)$ and $[\operatorname{D}^2 u]_i$ is the $i$th elementary symmetric function of the eigenvalues of the Hessian matrix, $\operatorname{D}^2 u$, of $u$. Under suitable assumptions on $��$, these valuations are shown to be invariant under translations and rotations on convex and coercive functions.
30 pages
Mathematics - Functional Analysis, Mathematics - Metric Geometry, 52B45 (26B25, 49Q20, 52A21, 52A41), FOS: Mathematics, Metric Geometry (math.MG), Convex function, valuation, convex body, Functional Analysis (math.FA)
Mathematics - Functional Analysis, Mathematics - Metric Geometry, 52B45 (26B25, 49Q20, 52A21, 52A41), FOS: Mathematics, Metric Geometry (math.MG), Convex function, valuation, convex body, Functional Analysis (math.FA)
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 14 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |