2023
DOI: 10.5802/jep.250
|View full text |Cite
|
Sign up to set email alerts
|

On the polygonal Faber-Krahn inequality

Beniamin Bogosel,
Dorin Bucur

Abstract: It has been conjectured by Pólya and Szegö seventy years ago that the planar set which minimizes the first eigenvalue of the Dirichlet-Laplace operator among polygons with n sides and fixed area is the regular polygon. Despite its apparent simplicity, this result has only been proved for triangles and quadrilaterals. In this paper we prove that for each n ⩾ 5 the proof of the conjecture can be reduced to a finite number of certified numerical computations. Moreover, the local minimality of the regular polygon … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 52 publications
0
1
0
Order By: Relevance
“…They provide increased accuracy for numerical approximations, as evidenced for instance in [20,21,27,28], where both strong and weak forms of shape derivatives have been used and methodically compared for various numerical applications. Moreover, the weak form can be employed to study optimality conditions for shape optimization problems involving domains with low smoothness such as polygons [29,30]. In particular, shape optimization problems on polygons, polyhedrons and in general domains with corners and edges often appear in applications.…”
Section: Introductionmentioning
confidence: 99%
“…They provide increased accuracy for numerical approximations, as evidenced for instance in [20,21,27,28], where both strong and weak forms of shape derivatives have been used and methodically compared for various numerical applications. Moreover, the weak form can be employed to study optimality conditions for shape optimization problems involving domains with low smoothness such as polygons [29,30]. In particular, shape optimization problems on polygons, polyhedrons and in general domains with corners and edges often appear in applications.…”
Section: Introductionmentioning
confidence: 99%