Top Qs
Timeline
Chat
Perspective

Ajtai–Komlós–Tusnády theorem

From Wikipedia, the free encyclopedia

Remove ads

The Ajtai–Komlós–Tusnády theorem (also known as the AKT optimal matching theorem) is a result in probabilistic combinatorics. Given two random, distinct sets of points and in the unit square , the theorem gives then upper and lower bounds for the minimal total distance needed to match the points in one set to those in the other.

The theorem was proven in 1984 by the Hungarian mathematicians Miklós Ajtai, János Komlós, and Gábor Tusnády.[1][2]

Remove ads

Statement

Summarize
Perspective

Let and be two independent random vectors, uniformly distributed over (i.e., ). Let denote the symmetric group, and the Euclidean norm on .

Then,

where are real constants.

Remarks

  • The notation means
    see Landau notation.
  • The theorem implies that
with high probability.
Remove ads

Bibliography

  • Bobkov, Sergey; Ledoux, Michel (2019). "A simple Fourier analytic proof of the AKT optimal matching theorem". Annals of Applied Probability. 31 (6). arXiv:1909.06193. doi:10.1214/20-AAP1656.
  • Ajtai, M.; Komlós, János; Tusnády, G. (1984). "On optimal matchings". Combinatorica. 4: 259–264. doi:10.1007/BF02579135.
  • Talagrand, Michel (1994). "Matching theorems and empirical discrepancy computations using majorizing measures". Journal of the American Mathematical Society. 7: 455–537. doi:10.1090/S0894-0347-1994-1227476-X.
Remove ads

References

Loading related searches...

Wikiwand - on

Seamless Wikipedia browsing. On steroids.

Remove ads