New preprint https://arxiv.org/abs/2511.06957

A #perspective discussing Moreau-Yosida (MY) techniques in #densityfunctionaltheory.
MY regularisation has enabled to import tools from #convexanalysis into #dft
providing a new mathematical understanding of the most important atomistic simulation approach
and new robust algorithms for Kohn-Sham #dft.

Thanks to my co-authors from the #hylleraas centre and #oslomet for insightful discussions.

#condensedmatter #quantumchemistry #numericalanalysis #dftk

Perspective on Moreau-Yosida Regularization in Density-Functional Theory

Within density-functional theory, Moreau-Yosida regularization enables both a reformulation of the theory and a mathematically well-defined definition of the Kohn-Sham approach. It is further employed in density-potential inversion schemes and, through the choice of topology for the density and potential space, can be directly linked to classical field theories. This perspective collects various appearances of the regularization technique within density-functional theory alongside possibilities for their future development.

arXiv.org

New publication https://doi.org/10.1103/PhysRevB.111.205143

New algorithm for the #inverseproblem of Kohn-Sham #densityfunctionaltheory (#dft), i.e. to find the #potential from the #density.

Outcome of a fun collaboration of @herbst with the group of Andre Laestadius at #oslomet to derive first mathematical error bounds for this problem

#condensedmatter #planewave #numericalanalysis #convexanalysis #dftk

Sun Jan 29, 11AM ET, I will have a live Twitter/YouTube/LinkedIn/Facebook discussion with Dr. Robert Schapire of Microsoft (at Princeton before), a Gödel and Kanellakis Awardee (https://en.wikipedia.org/wiki/Robert_Schapire) on pioneering #Adaboost, #convexanalysis,#ML,#gametheory,#NationalAcademy
Robert Schapire - Wikipedia

#convexanalysis
#recession cone of a set { A} is a cone containing all vectors such that { A} recedes in that direction. That is, the set extends outward in all the directions given by the recession cone
#convexanalysis
#recession cone of a set { A} is a cone containing all vectors such that { A} recedes in that direction. That is, the set extends outward in all the directions given by the recession cone

#convexanalysis

https://mathtod.online/@yoriyuki/632406

$p=(p_1,\ldots,p_n)$ は $p_i$ がすべて0以上で $p_i$ たちの総和が $1$ のとき「単体に含まれる」と言うことにする。

$a_k=(a_{1k},\ldots,a_{nk})$ は単体に含まれるとし、$f_{ik},g_k\in\mathbb R^N$ は
$$
g_k = \sum_{i=1}^n a_{ik}f_{ik}
\tag{$*$}
$$を満たしていると仮定する。

点列 $f_{ik}, g_k$ は $k\to\infty$ でそれぞれ $c_i,d$ に収束すると仮定する。

単体はコンパクトである。ゆえに単体内の点列 $a_k$ は単体内のある点 $b=(b_1,\ldots,b_n)$ に収束する部分列 $a_{k_\nu}$ を持つ。このとき($*$)の部分列の収束先として、$$
d = \sum_{i=1}^n b_i c_i
$$も成立している。 q.e.d.

yoriyuki on mathtod.online

$f_1(x), \ldots, f_n(x)$で張られるConvex hullがあったとして、その中に$g(x)$が入っているとする。$f_1(x), \ldots, f_n(x)$が$c_1, \ldots, c_n$に、$g(x)$が$d$に収束する時、$d$は$c_1, \ldots, c_n$のconvex hullに入っているか。 成り立ちそうなんだけれど、どう証明していいかわからない。

mathtod.online