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Asymptotic shape optimization for Riesz means of the Dirichlet Laplacian over convex domains

For $Ω\subset \mathbb{R}^n$, a convex and bounded domain, we study the spectrum of $-Δ_Ω$ the Dirichlet Laplacian on $Ω$. For $Λ\geq0$ and $γ\geq 0$ let $Ω_{Λ, γ}(\mathcal{A})$ denote any extremal set of the shape optimization problem $$ \sup\{ \mathrm{Tr}(-Δ_Ω-Λ)_-^γ: Ω\in \mathcal{A}, |Ω|=1\}, $$ where $\mathcal{A}$ is an admissible family of convex domains in $\mathbb{R}^n$. If $γ\geq 1$ and $\{Λ_j\}_{j\geq1}$ is a positive sequence tending to infinity we prove that $\{Ω_{Λ_j, γ}(\mathcal{A})\}_{j\geq1}$ is a bounded sequence, and hence contains a convergent subsequence. Under an additional assumption on $\mathcal{A}$ we characterize the possible limits of such subsequences as minimizers of the perimeter among domains in $\mathcal{A}$ of unit measure. For instance if $\mathcal{A}$ is the set of all convex polygons with no more than $m$ faces, then $Ω_{Λ, γ}$ converges, up to rotation and translation, to the regular $m$-gon. This is a revised version of the paper published in the Journal of Spectral Theory (2019) which has been updated in accordance with an erratum published in 2021. The results of the paper remain unchanged, but the proofs of Theorem 2.4 and Corollary 5.3 have been amended.