Blumenthal's Zero–one Law
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In the mathematical theory of probability, Blumenthal's
zero–one law In probability theory, a zero–one law is a result that states that an event must have probability 0 or 1 and no intermediate value. Sometimes, the statement is that the limit of certain probabilities must be 0 or 1. It may refer to: * Borel–C ...
, named after Robert McCallum Blumenthal, is a statement about the nature of the beginnings of right continuous Feller process. Loosely, it states that any right continuous Feller process on [0,\infty) starting from deterministic point has also deterministic initial movement.


Statement

Suppose that X=(X_t:t\geq 0) is an adapted right continuous Feller process on a
probability space In probability theory, a probability space or a probability triple (\Omega, \mathcal, P) is a mathematical construct that provides a formal model of a random process or "experiment". For example, one can define a probability space which models t ...
(\Omega,\mathcal,\_,\mathbb) such that X_0 is constant with probability one. Let \mathcal^X_t:=\sigma(X_s; s\leq t), \mathcal^X_:=\bigcap_\mathcal^X_s. Then any event in the
germ Germ or germs may refer to: Science * Germ (microorganism), an informal word for a pathogen * Germ cell, cell that gives rise to the gametes of an organism that reproduces sexually * Germ layer, a primary layer of cells that forms during embry ...
sigma algebra Sigma (; uppercase Σ, lowercase σ, lowercase in word-final position ς; grc-gre, σίγμα) is the eighteenth letter of the Greek alphabet. In the system of Greek numerals, it has a value of 200. In general mathematics, uppercase Σ is used as ...
\Lambda \in \mathcal^X_ has either \mathbb(\Lambda)=0 or \mathbb(\Lambda)=1.


Generalization

Suppose that X=(X_t:t\geq 0) is an adapted
stochastic process In probability theory and related fields, a stochastic () or random process is a mathematical object usually defined as a family of random variables. Stochastic processes are widely used as mathematical models of systems and phenomena that appea ...
on a
probability space In probability theory, a probability space or a probability triple (\Omega, \mathcal, P) is a mathematical construct that provides a formal model of a random process or "experiment". For example, one can define a probability space which models t ...
(\Omega,\mathcal,\_,\mathbb) such that X_0 is constant with probability one. If X has
Markov property In probability theory and statistics, the term Markov property refers to the memoryless property of a stochastic process. It is named after the Russian mathematician Andrey Markov. The term strong Markov property is similar to the Markov propert ...
with respect to the filtration \_ then any event \Lambda \in \mathcal^X_ has either \mathbb(\Lambda)=0 or \mathbb(\Lambda)=1. Note that every right continuous Feller process on a
probability space In probability theory, a probability space or a probability triple (\Omega, \mathcal, P) is a mathematical construct that provides a formal model of a random process or "experiment". For example, one can define a probability space which models t ...
(\Omega,\mathcal,\_,\mathbb) has strong Markov property with respect to the filtration \_.


References

{{DEFAULTSORT:Blumenthal's zero-one law Probability theory