Maximal Independent Stochastic Processes
Bell, C. B.
Ann. Math. Statist., Tome 32 (1961) no. 4, p. 704-708 / Harvested from Project Euclid
This paper concerns the following problem posed by R. Pyke (1958). What is the cardinality, $M_k$, of the maximal family of stochastically independent random variables defined on a given space $\Omega$, of cardinality ${\bar{\bar{\Omega}}} = k$? Since maximality is sought, the investigation is limited to two-valued, nontrivial (tvnt) random variables; and the $\sigma$-algebra of measurable subsets of $\Omega$ is taken to be that generated by the family of random variables. With these restrictions the problem is essentially one of cardinality. The results are summarized in the table below. Theorem 1 follows from the fact that stochastic independence entails the non-vanishing of certain finite intersections of elementary sets. Theorem 2 is a result of Kakutani, Kodaira and Oxtoby [4, 5, 6]. Theorem 3 is a consequence of a set theoretic result of Tarski [11], and a theorem of Banach [1, 2, 10, 11], which results were used in proofs of Theorem 2. Theorem 4 follows from a construction and a lemma of Marczewski [9]. The paper is divided into five sections. Section 1 introduces the notation and terminology. Section 2 discusses two types of independence. Sections 3, 4, and 5 treat, respectively, the finite, non-countable and countable cases.
Publié le : 1961-09-14
Classification: 
@article{1177704965,
     author = {Bell, C. B.},
     title = {Maximal Independent Stochastic Processes},
     journal = {Ann. Math. Statist.},
     volume = {32},
     number = {4},
     year = {1961},
     pages = { 704-708},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1177704965}
}
Bell, C. B. Maximal Independent Stochastic Processes. Ann. Math. Statist., Tome 32 (1961) no. 4, pp.  704-708. http://gdmltest.u-ga.fr/item/1177704965/