Lebesgue's universal covering problem![]() 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. Unsolved problem in mathematics
What is the minimum area of a convex shape that can cover every planar set of diameter one?
Formulation and early researchThe 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 ![]() 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 . Current boundsAfter a sequence of improvements to Sprague's solution, each removing small corners from the solution,[3][4] a 2018 preprint of Philip Gibbs claimed the best upper bound known, a further reduction to area 0.8440935944.[5][6] 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.[7] See also
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