Lebesgue's universal covering problem

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Short description: Unsolved geometry problem
An equilateral triangle of diameter 1 doesn’t fit inside a circle of diameter 1

Lebesgue's universal covering problem is an unsolved problem in geometry that asks for the convex shape of smallest area that can cover every planar set of diameter one. The diameter of a set by definition is the least upper bound of the distances between all pairs of points in the set. A shape covers a set if it contains a congruent subset. In other words the set may be rotated, translated or reflected to fit inside the shape.

Question, Web Fundamentals.svg Unsolved problem in mathematics:
What is the minimum area of a convex shape that can cover every planar set of diameter one?
(more unsolved problems in mathematics)

Formulation and early research

The problem was posed by Henri Lebesgue in a letter to Gyula Pál in 1914. It was published in a paper by Pál in 1920 along with Pál's analysis.[1] He showed that a cover for all curves of constant width one is also a cover for all sets of diameter one and that a cover can be constructed by taking a regular hexagon with an inscribed circle of diameter one and removing two corners from the hexagon to give a cover of area [math]\displaystyle{ 2-\frac{2}{\sqrt3}\approx 0.84529946. }[/math]

The shape outlined in black is Pál's solution to Lebesgue's universal covering problem. Within it, planar shapes with diameter one have been included: a circle (in blue), a Reuleaux triangle (in red) and a square (in green).

In 1936, Roland Sprague showed that a part of Pál's cover could be removed near one of the other corners while still retaining its property as a cover.[2] This reduced the upper bound on the area to [math]\displaystyle{ a \le 0.844137708436 }[/math].

Current bounds

After a sequence of improvements to Sprague's solution, each removing small corners from the solution,[3] a 2018 preprint of Philip Gibbs claimed the best upper bound known, a further reduction to area 0.8440935944.[4][5]

The best known lower bound for the area was provided by Peter Brass and Mehrbod Sharifi using a combination of three shapes in optimal alignment, proving that the area of an optimal cover is at least 0.832.[6]

See also

  • Moser's worm problem, what is the minimum area of a shape that can cover every unit-length curve?
  • Moving sofa problem, the problem of finding a maximum-area shape that can be rotated and translated through an L-shaped corridor
  • Kakeya set, a set of minimal area that can accommodate every unit-length line segment (with translations allowed, but not rotations)
  • Blaschke selection theorem, which can be used to prove that Lebesgue's universal covering problem has a solution.

References

  1. Pál, J. (1920). "'Über ein elementares Variationsproblem". Danske Mat.-Fys. Meddelelser III 2. 
  2. Sprague, R. (1936). "Über ein elementares Variationsproblem". Matematiska Tidsskrift Ser. B: 96–99. 
  3. Hansen, H. C. (2015). "Small universal covers for sets of unit diameter". Journal of Computational Geometry 6: 288–299. doi:10.20382/jocg.v6i1a12. 
  4. Gibbs, Philip (23 October 2018). "An upper bound for Lebesgue's covering problem". arXiv:1810.10089 [math.MG].
  5. "Amateur mathematician finds smallest universal cover". https://www.quantamagazine.org/amateur-mathematician-finds-smallest-universal-cover-20181115. 
  6. Brass, Peter; Sharifi, Mehrbod (2005). "A lower bound for Lebesgue's universal cover problem". International Journal of Computational Geometry and Applications 15 (5): 537–544. doi:10.1142/S0218195905001828.