1992
DOI: 10.1007/bf00182945
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On a problem of A. Pleijel

Abstract: In 1955, Arne Pleijel proposed the following problem which remains unsolved to this day: Given a closed plane convex curve C and a point x(2) at a fixed distance )~ above the plane, as the point x(2) varies, characterize the point for which the conical surface with vertex x(2) and base C attains its minimum, and determine the limits as 2 ~ 0 and 2 ~ oo of this minimum point. The purpose of this paper is to solve the cases where 2 approach its extremities and in the course of the solution, we obtain an interest… Show more

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Cited by 1 publication
(2 citation statements)
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(7 reference statements)
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“…In his paper "On a problem of A. Pleijel " B. N. Cheng [1] locates the limiting point as h → 0 and as h → ∞ implicitly via a special boundary parametrization and the radius-of-curvature function ρ of ∂K. Using variational arguments he shows that the unique point x * (h) approaches the origin of the polar coordinate parametrization of ∂K whose support function λ(φ) is characterized by Furthermore, he shows that these characterizations are sufficient to determine the limiting points, if the domain is strictly convex.…”
Section: K Xmentioning
confidence: 99%
See 1 more Smart Citation
“…In his paper "On a problem of A. Pleijel " B. N. Cheng [1] locates the limiting point as h → 0 and as h → ∞ implicitly via a special boundary parametrization and the radius-of-curvature function ρ of ∂K. Using variational arguments he shows that the unique point x * (h) approaches the origin of the polar coordinate parametrization of ∂K whose support function λ(φ) is characterized by Furthermore, he shows that these characterizations are sufficient to determine the limiting points, if the domain is strictly convex.…”
Section: K Xmentioning
confidence: 99%
“…The results about the location of the optimal point in the limits h → ∞ and h → 0 presented here give the more or less explicit algebraic coordinates of the optimal apex. A complete (but implicit) characterization of this point was given by B. Cheng in [1]. …”
mentioning
confidence: 99%