Strong Law of Large Numbers for Iterates of Some Random-Valued Functions

نویسندگان

چکیده

Abstract Assume $$ (\Omega , {\mathscr {A}}, P) ( Ω , A P ) is a probability space, X compact metric space with the \sigma σ -algebra {B}} B of all its Borel subsets and f: \times \Omega \rightarrow f : X × → \otimes {A}} ⊗ -measurable contractive in mean. We consider sequence iterates f defined on ^{{\mathbb {N}}}$$ N by $$f^0(x, \omega ) = x$$ 0 x ω = f^n(x, f\big (f^{n-1}(x, ), _n\big )$$ n - 1 for $$n \in {\mathbb {N}}$$ ∈ weak limit $$\pi π . show that if $$\psi :X {R}}$$ ψ R continuous, then every x $$\left( \frac{1}{n}\sum _{k=1}^n \psi \big (f^k(x,\cdot )\big )\right) _{n ∑ k · converges almost surely to $$\int _X\psi d\pi ∫ d In fact, we are focusing case where complete separable.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

MARCINKIEWICZ-TYPE STRONG LAW OF LARGE NUMBERS FOR DOUBLE ARRAYS OF NEGATIVELY DEPENDENT RANDOM VARIABLES

In the following work we present a proof for the strong law of large numbers for pairwise negatively dependent random variables which relaxes the usual assumption of pairwise independence. Let be a double sequence of pairwise negatively dependent random variables. If for all non-negative real numbers t and , for 1 < p < 2, then we prove that (1). In addition, it also converges to 0 in ....

متن کامل

A Note on the Strong Law of Large Numbers

Petrov (1996) proved the connection between general moment conditions and the applicability of the strong law of large numbers to a sequence of pairwise independent and identically distributed random variables. This note examines this connection to a sequence of pairwise negative quadrant dependent (NQD) and identically distributed random variables. As a consequence of the main theorem ...

متن کامل

marcinkiewicz-type strong law of large numbers for double arrays of negatively dependent random variables

in the following work we present a proof for the strong law of large numbers for pairwise negatively dependent random variables which relaxes the usual assumption of pairwise independence. let be a double sequence of pairwise negatively dependent random variables. if for all non-negative real numbers t and , for 1 < p < 2, then we prove that (1). in addition, it also converges to 0 in . the res...

متن کامل

Laws of Large Numbers for Random Linear

The computational solution of large scale linear programming problems contains various difficulties. One of the difficulties is to ensure numerical stability. There is another difficulty of a different nature, namely the original data, contains errors as well. In this paper, we show that the effect of the random errors in the original data has a diminishing tendency for the optimal value as the...

متن کامل

the strong law of large numbers for pairwise negatively dependent random variables

in this paper, strong laws of large numbers (slln) are obtained for the sums ƒ°=nii x1, undercertain conditions, where {x ,n . 1} n is a sequence of pairwise negatively dependent random variables.

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Results in Mathematics

سال: 2022

ISSN: ['1420-9012', '1422-6383']

DOI: https://doi.org/10.1007/s00025-021-01586-0