György Elekes

György Elekes (19 May 1949 – 29 September 2008) was a Hungarian mathematician and computer scientist who specialized in Combinatorial geometry and Combinatorial set theory. He may be best known for his work in the field that would eventually be called Additive Combinatorics. Particularly notable was his "ingenious" application of the Szemerédi–Trotter theorem to improve the best known lower bound for the sum-product problem. He also proved that any polynomial-time algorithm approximating the volume of convex bodies must have a multiplicative error, and the error grows exponentially on the dimension. (See below.)

Life After graduating from the mathematics program at Fazekas Mihály Gimnázium (i.e., "Fazekas Mihály high school" in Budapest, which is known for its excellence, especially in mathematics), Elekes studied mathematics at the Eötvös Loránd University. Upon completing his degree, he joined the faculty in the Department of Analysis at the university. In 1984, he joined the newly forming Department of Computer Science, which was being headed by László Lovász. Elekes was promoted to full professor in 2005. He received the Doctor of Mathematical Sciences title from the Hungarian Academy of Sciences in 2001. His interest later switched to another favorite topic of Erdős, discrete geometry and geometric algorithm theory. In 1986 he proved that if a deterministic polynomial algorithm computes a number V(K) for every convex body K in any Euclidean space given by a separation oracle such that V(K) always at least vol(K), the volume of K, then for every large enough dimension n, there is a convex body in the n-dimensional Euclidean space such that V(K)>20.99nvol(K). That is, any polynomial-time estimator of volume over K must be inaccurate by at least an exponential factor.

Not long before his death he developed new tools in Algebraic geometry and used them to obtain results in Discrete geometry, proving Purdy's Conjecture. Micha Sharir organized, extended and published Elekes's posthumous notes on these methods. Then Nets Katz and Larry Guth used them to solve (apart from a factor of (log n) 1/2 ) the Erdős distinct distances problem, posed in 1946.