On extremal problems associated with random chords on a circle

Abstract Inspired by the work of Karamata, we consider an extremization problem associated with the probability of intersecting two random chords inside a circle of radius , where the endpoints of the chords are drawn according to a given probability distribution on . We show that, for , the problem is degenerated in the sense that any continuous measure is an extremizer, and that, for sufficiently close to 1, the desired maximal value is strictly below the one for by a polynomial factor in . Finally, we prove, by considering the auxiliary problem of drawing a single random chord, that the desired maximum is for . Connections with other variational problems and energy minimization problems are also presented.

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Publication Details

Journal
Mathematika
Published
2025-09-01
DOI
https://doi.org/10.1112/mtk.70024
Primary Topic
Analytic and geometric function theory
Type
article
Field-Weighted Citation Impact
0.00
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article

On extremal problems associated with random chords on a circle

João P. G. Ramos, Cynthia Bortolotto
Mathematika
Analytic and geometric function theory
article

On extremal problems associated with random chords on a circle

João P. G. Ramos, Cynthia Bortolotto
article en

Abstract

Abstract Inspired by the work of Karamata, we consider an extremization problem associated with the probability of intersecting two random chords inside a circle of radius , where the endpoints of the chords are drawn according to a given probability distribution on . We show that, for , the problem is degenerated in the sense that any continuous measure is an extremizer, and that, for sufficiently close to 1, the desired maximal value is strictly below the one for by a polynomial factor in . Finally, we prove, by considering the auxiliary problem of drawing a single random chord, that the desired maximum is for . Connections with other variational problems and energy minimization problems are also presented.

MathematikaVol. 71(4)
ETH Zurich (CH), École Polytechnique Fédérale de Lausanne (CH)
Openalex Percentile: Top 71%
Analytic and geometric function theory
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