In mathematics, particularly, in
analysis
Analysis (: analyses) is the process of breaking a complex topic or substance into smaller parts in order to gain a better understanding of it. The technique has been applied in the study of mathematics and logic since before Aristotle (38 ...
, Carleman's condition gives a sufficient condition for the determinacy of the
moment problem
In mathematics, a moment problem arises as the result of trying to invert the mapping that takes a measure \mu to the sequence of moments
:m_n = \int_^\infty x^n \,d\mu(x)\,.
More generally, one may consider
:m_n = \int_^\infty M_n(x) \,d\mu( ...
. That is, if a
measure satisfies Carleman's condition, there is no other measure
having the same
moments as
The condition was discovered by
Torsten Carleman in 1922.
Hamburger moment problem
For the
Hamburger moment problem In mathematics, the Hamburger moment problem, named after Hans Ludwig Hamburger, is formulated as follows: given a sequence , does there exist a positive Borel measure (for instance, the measure determined by the cumulative distribution function o ...
(the moment problem on the whole real line), the theorem states the following:
Let
be a
measure on
such that all the moments
are finite. If
then the moment problem for
is ''determinate''; that is,
is the only measure on
with
as its sequence of moments.
Stieltjes moment problem
For the
Stieltjes moment problem In mathematics, the Stieltjes moment problem, named after Thomas Joannes Stieltjes, seeks necessary and sufficient conditions for a sequence (''m''0, ''m''1, ''m''2, ...) to be of the form
:m_n = \int_0^\infty x^n\,d\mu(x)
for some measure ''&m ...
, the sufficient condition for determinacy is
Generalized Carleman's condition
In, Nasiraee et al. showed that, despite previous assumptions,
[S. S. Shamai, “Capacity of a pulse amplitude modulated direct detection photon channel,” IEE Proceedings I (Communications, Speech and Vision), vol. 137, no. 6, pp. 424–430, Dec. 1990.] when the integrand is an arbitrary function, Carleman's condition is not sufficient, as demonstrated by a counter-example. In fact, the example violates the bijection, i.e. determinacy, property in the probability sum theorem. When the integrand is an arbitrary function, they further establish a sufficient condition for the determinacy of the moment problem, referred to as the ''generalized Carleman's condition''.
Notes
References
* {{Cite book , first=N. I. , last=Akhiezer , title=The Classical Moment Problem and Some Related Questions in Analysis , publisher=Oliver & Boyd , year=1965
* Chapter 3.3, Durrett, Richard. ''Probability: Theory and Examples''. 5th ed. Cambridge Series in Statistical and Probabilistic Mathematics 49. Cambridge ; New York, NY: Cambridge University Press, 2019.
Mathematical analysis
Moments (mathematics)
Probability theory
Theorems in approximation theory