Khintchine inequality
In mathematics, the Khintchine inequality, named after Aleksandr Khinchin and spelled in multiple ways in the Latin alphabet, is a theorem from probability, and is also frequently used in analysis. Heuristically, it says that if we pick complex numbers , and add them together each multiplied by a random sign , then the expected value of the sum's modulus, or the modulus it will be closest to on average, will be not too far off from .
Statement
Let be i.i.d. random variables with for , i.e., a sequence with Rademacher distribution. Let and let . Then
for some constants depending only on (see Expected value for notation). The sharp values of the constants were found by Haagerup (Ref. 2; see Ref. 3 for a simpler proof). It is a simple matter to see that when , and when .
Haagerup found that
where and is the Gamma function. One may note in particular that matches exactly the moments of a normal distribution.
Uses in analysis
The uses of this inequality are not limited to applications in probability theory. One example of its use in analysis is the following: if we let be a linear operator between two Lp spaces and , , with bounded norm , then one can use Khintchine's inequality to show that
for some constant depending only on and .[citation needed]
Generalizations
For the case of Rademacher random variables, Pawel Hitczenko showed[1] that the sharpest version is:
where , and and are universal constants independent of .
Here we assume that the are non-negative and non-increasing.
See also
References
- ^ Pawel Hitczenko, "On the Rademacher Series". Probability in Banach Spaces, 9 pp 31-36. ISBN 978-1-4612-0253-0
- Thomas H. Wolff, "Lectures on Harmonic Analysis". American Mathematical Society, University Lecture Series vol. 29, 2003. ISBN 0-8218-3449-5
- Uffe Haagerup, "The best constants in the Khintchine inequality", Studia Math. 70 (1981), no. 3, 231–283 (1982).
- Fedor Nazarov and Anatoliy Podkorytov, "Ball, Haagerup, and distribution functions", Complex analysis, operators, and related topics, 247–267, Oper. Theory Adv. Appl., 113, Birkhäuser, Basel, 2000.