Chebyshev–Markov–Stieltjes Inequalities
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mathematical analysis Analysis is the branch of mathematics dealing with continuous functions, limit (mathematics), limits, and related theories, such as Derivative, differentiation, Integral, integration, measure (mathematics), measure, infinite sequences, series (m ...
, the Chebyshev–Markov–Stieltjes
inequalities Inequality may refer to: Economics * Attention inequality, unequal distribution of attention across users, groups of people, issues in etc. in attention economy * Economic inequality, difference in economic well-being between population groups * ...
are inequalities related to the
problem of moments In mathematics, a moment problem arises as the result of trying to invert the mapping that takes a measure ''μ'' to the sequences of moments :m_n = \int_^\infty x^n \,d\mu(x)\,. More generally, one may consider :m_n = \int_^\infty M_n(x) ...
that were formulated in the 1880s by
Pafnuty Chebyshev Pafnuty Lvovich Chebyshev ( rus, Пафну́тий Льво́вич Чебышёв, p=pɐfˈnutʲɪj ˈlʲvovʲɪtɕ tɕɪbɨˈʂof) ( – ) was a Russian mathematician and considered to be the founding father of Russian mathematics. Chebyshe ...
and proved independently by Andrey Markov and (somewhat later) by Thomas Jan Stieltjes. Informally, they provide sharp bounds on a
measure Measure may refer to: * Measurement, the assignment of a number to a characteristic of an object or event Law * Ballot measure, proposed legislation in the United States * Church of England Measure, legislation of the Church of England * Mea ...
from above and from below in terms of its first moments.


Formulation

Given ''m''0,...,''m''2''m''-1 ∈ R, consider the collection C of measures ''μ'' on R such that : \int x^k d\mu(x) = m_k for ''k'' = 0,1,...,2''m'' − 1 (and in particular the integral is defined and finite). Let ''P''0,''P''1, ...,''P''''m'' be the first ''m'' + 1
orthogonal polynomials In mathematics, an orthogonal polynomial sequence is a family of polynomials such that any two different polynomials in the sequence are orthogonal to each other under some inner product. The most widely used orthogonal polynomials are the class ...
with respect to ''μ'' ∈ C, and let ''ξ''1,...''ξ''''m'' be the zeros of ''P''''m''. It is not hard to see that the polynomials ''P''0,''P''1, ...,''P''''m''-1 and the numbers ''ξ''1,...''ξ''''m'' are the same for every ''μ'' ∈ C, and therefore are determined uniquely by ''m''0,...,''m''2''m''-1. Denote :\rho_(z) = 1 \Big/ \sum_^ , P_k(z), ^2. Theorem For ''j'' = 1,2,...,''m'', and any ''μ'' ∈ C, :\mu(-\infty, \xi_j] \leq \rho_(\xi_1) + \cdots + \rho_(\xi_j) \leq \mu(-\infty,\xi_).


References

{{DEFAULTSORT:Chebyshev-Markov-Stieltjes inequalities Theorems in analysis Inequalities