In a letter to Wacław Sierpiński, motivated by some results of Giuseppe Vitali, TiborRadóobserved that for every covering of a unit interval, one can select a subcovering consisting ofpairwise disjoint intervals with total length at least 1/2 and that this number cannot be improved. He then asked for an analogous statement in the plane. Radó proved that this number is at least 1/9 and conjectured that it is at least 1/4 a constant which cannot be further improved. This assertion was proved for the case of equal squares independently by A. Sokolin, R. Rado, and V. A. Zalgaller. However, in 1973, Miklós Ajtaidisproved Radó's conjecture, by constructing a system of squares of two different sizes for which any subsystem consisting of disjoint squares covers the area at most 1/4 − 1/1728 of the total area covered by the system.
Upper and lower bounds
Problems analogous to Tibor Radó's conjecture but involving other shapes were considered by Richard Rado starting in late 1940s. A typical setting is a finite family of convex figures in the Euclidean spaceRd that are homothetic to a given X, for example, a square as in the original question, a disk, or a d-dimensional cube. Let where S ranges over finite families just described, and for a given family S, I ranges over all subfamilies that are independent, i.e. consist of disjoint sets, and bars denote the total volume. Although the exact value of F is not known for any two-dimensional convex X, much work was devoted to establishing upper and lower bounds in various classes of shapes. By considering only families consisting of sets that are parallel and congruent to X, one similarly defines f, which turned out to be much easier to study. Thus, R. Rado proved that if X is a triangle, f is exactly 1/6 and if X is a centrally symmetrichexagon, f is equal to 1/4. In 2008, Sergey Bereg, Adrian Dumitrescu, and Minghui Jiang established new bounds for various F and f that improve upon earlier results of R. Rado and V. A. Zalgaller. In particular, they proved that and that for any convex planar X.