Difference between revisions of "Compatible distributions"
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''projective system of probability measures, consistent system of probability measures, consistent system of distributions'' | ''projective system of probability measures, consistent system of probability measures, consistent system of distributions'' | ||
− | A concept in probability theory and measure theory. For the most common and most important case of a product of spaces, see the article [[Measure|Measure]]. A more general construction is given below. Let | + | A concept in probability theory and measure theory. For the most common and most important case of a product of spaces, see the article [[Measure|Measure]]. A more general construction is given below. Let $ I $ |
+ | be an index set with a pre-order relation $ \leq $ | ||
+ | filtering to the right; suppose one is given a projective system of sets: For every $ i \in I $ | ||
+ | there is a set $ X _ {i} $ | ||
+ | and for every pair of indices $ i \leq j $ | ||
+ | there is a mapping $ \pi _ {ij} $ | ||
+ | of $ X _ {j} $ | ||
+ | into $ X _ {i} $ | ||
+ | such that $ \pi _ {ik} = \pi _ {ij} \circ \pi _ {jk} $ | ||
+ | for $ i \leq j \leq k $; | ||
+ | let $ \pi _ {ii} $ | ||
+ | be the identity mapping on $ X _ {i} $ | ||
+ | for every $ i \in I $. | ||
+ | It is further assumed that for each $ i \in I $ | ||
+ | there is a $ \sigma $- | ||
+ | algebra $ S _ {i} $ | ||
+ | of subsets of $ X _ {i} $ | ||
+ | such that for $ i \leq j $ | ||
+ | the mapping $ \pi _ {ij} $ | ||
+ | of $ ( X _ {j} , S _ {j} ) $ | ||
+ | into $ ( X _ {i} , S _ {i} ) $ | ||
+ | is measurable. Finally, let $ \mu _ {i} $ | ||
+ | be a given distribution (or, more generally, a measure) on $ S _ {i} $, | ||
+ | for every $ i \in I $. | ||
+ | The system of distributions (measures) $ \{ \mu _ {i} \} $ | ||
+ | is called compatible (or consistent, or a projective system of distributions (measures)) if $ \mu _ {i} = \mu _ {j} \pi _ {ij} ^ {-} 1 $ | ||
+ | whenever $ i \leq j $. | ||
+ | Under certain additional conditions on the projective limit $ X = \lim\limits _ \leftarrow ( X _ {i} , \pi _ {ij} ) $, | ||
+ | there is a measure $ \mu $( | ||
+ | the projective limit of the projective system $ \{ \mu _ {i} \} $) | ||
+ | such that if $ \pi _ {i} $ | ||
+ | is the canonical projection of $ X $ | ||
+ | to $ X _ {i} $, | ||
+ | then $ \mu _ {i} = \mu \pi _ {i} ^ {-} 1 $ | ||
+ | for all $ i \in I $. | ||
====References==== | ====References==== | ||
<table><TR><TD valign="top">[1]</TD> <TD valign="top"> A.N. Kolmogorov, "Foundations of the theory of probability" , Chelsea, reprint (1950) (Translated from Russian)</TD></TR><TR><TD valign="top">[2]</TD> <TD valign="top"> S. Bochner, "Harmonic analysis and the theory of probability" , Univ. California Press (1955)</TD></TR><TR><TD valign="top">[3]</TD> <TD valign="top"> M. Metivier, "Limites projectives de measures. Martingales. Applications" ''Ann. Mat. Pura Appl.'' , '''63''' (1963) pp. 225–352</TD></TR><TR><TD valign="top">[4]</TD> <TD valign="top"> N. Bourbaki, "Elements of mathematics. Integration" , Addison-Wesley (1975) pp. Chapt.6;7;8 (Translated from French)</TD></TR></table> | <table><TR><TD valign="top">[1]</TD> <TD valign="top"> A.N. Kolmogorov, "Foundations of the theory of probability" , Chelsea, reprint (1950) (Translated from Russian)</TD></TR><TR><TD valign="top">[2]</TD> <TD valign="top"> S. Bochner, "Harmonic analysis and the theory of probability" , Univ. California Press (1955)</TD></TR><TR><TD valign="top">[3]</TD> <TD valign="top"> M. Metivier, "Limites projectives de measures. Martingales. Applications" ''Ann. Mat. Pura Appl.'' , '''63''' (1963) pp. 225–352</TD></TR><TR><TD valign="top">[4]</TD> <TD valign="top"> N. Bourbaki, "Elements of mathematics. Integration" , Addison-Wesley (1975) pp. Chapt.6;7;8 (Translated from French)</TD></TR></table> | ||
− | |||
− | |||
====Comments==== | ====Comments==== | ||
− | A partial order or pre-order relation | + | A partial order or pre-order relation $ \leq $ |
+ | on $ I $ | ||
+ | is said to filter to the right if for every $ i , j \in I $ | ||
+ | there is a $ k \in I $ | ||
+ | such that $ i \leq k $ | ||
+ | and $ j \leq k $. | ||
+ | The projective limit measure exists if, for instance, the $ X _ {i} $ | ||
+ | are all compact spaces, the $ \pi _ {ij} $ | ||
+ | are all surjective and the family of norms $ \| \mu _ {i} \| $ | ||
+ | is bounded, where $ \| \mu _ {i} \| = \inf \{ {M } : {| \mu _ {i} ( f ) | \leq M \| f \| } \} $, | ||
+ | $ \| f \| = \sup _ {x} | f ( x) | $, | ||
+ | $ f $ | ||
+ | continuous of compact support. It also exists if the $ X _ {i} $ | ||
+ | are compact, $ \pi _ {ij} $ | ||
+ | surjective, and the $ \mu _ {i} $ | ||
+ | are positive measures; then $ \mu $ | ||
+ | is positive and $ \| \mu \| = \| \mu _ {i} \| $ | ||
+ | for all $ i $. | ||
The concept of consistency (compatibility) of distributions (or measures) is of special importance in the construction of stochastic processes (cf. [[Stochastic process|Stochastic process]]; [[Joint distribution|Joint distribution]]). | The concept of consistency (compatibility) of distributions (or measures) is of special importance in the construction of stochastic processes (cf. [[Stochastic process|Stochastic process]]; [[Joint distribution|Joint distribution]]). |
Latest revision as of 17:45, 4 June 2020
projective system of probability measures, consistent system of probability measures, consistent system of distributions
A concept in probability theory and measure theory. For the most common and most important case of a product of spaces, see the article Measure. A more general construction is given below. Let $ I $ be an index set with a pre-order relation $ \leq $ filtering to the right; suppose one is given a projective system of sets: For every $ i \in I $ there is a set $ X _ {i} $ and for every pair of indices $ i \leq j $ there is a mapping $ \pi _ {ij} $ of $ X _ {j} $ into $ X _ {i} $ such that $ \pi _ {ik} = \pi _ {ij} \circ \pi _ {jk} $ for $ i \leq j \leq k $; let $ \pi _ {ii} $ be the identity mapping on $ X _ {i} $ for every $ i \in I $. It is further assumed that for each $ i \in I $ there is a $ \sigma $- algebra $ S _ {i} $ of subsets of $ X _ {i} $ such that for $ i \leq j $ the mapping $ \pi _ {ij} $ of $ ( X _ {j} , S _ {j} ) $ into $ ( X _ {i} , S _ {i} ) $ is measurable. Finally, let $ \mu _ {i} $ be a given distribution (or, more generally, a measure) on $ S _ {i} $, for every $ i \in I $. The system of distributions (measures) $ \{ \mu _ {i} \} $ is called compatible (or consistent, or a projective system of distributions (measures)) if $ \mu _ {i} = \mu _ {j} \pi _ {ij} ^ {-} 1 $ whenever $ i \leq j $. Under certain additional conditions on the projective limit $ X = \lim\limits _ \leftarrow ( X _ {i} , \pi _ {ij} ) $, there is a measure $ \mu $( the projective limit of the projective system $ \{ \mu _ {i} \} $) such that if $ \pi _ {i} $ is the canonical projection of $ X $ to $ X _ {i} $, then $ \mu _ {i} = \mu \pi _ {i} ^ {-} 1 $ for all $ i \in I $.
References
[1] | A.N. Kolmogorov, "Foundations of the theory of probability" , Chelsea, reprint (1950) (Translated from Russian) |
[2] | S. Bochner, "Harmonic analysis and the theory of probability" , Univ. California Press (1955) |
[3] | M. Metivier, "Limites projectives de measures. Martingales. Applications" Ann. Mat. Pura Appl. , 63 (1963) pp. 225–352 |
[4] | N. Bourbaki, "Elements of mathematics. Integration" , Addison-Wesley (1975) pp. Chapt.6;7;8 (Translated from French) |
Comments
A partial order or pre-order relation $ \leq $ on $ I $ is said to filter to the right if for every $ i , j \in I $ there is a $ k \in I $ such that $ i \leq k $ and $ j \leq k $. The projective limit measure exists if, for instance, the $ X _ {i} $ are all compact spaces, the $ \pi _ {ij} $ are all surjective and the family of norms $ \| \mu _ {i} \| $ is bounded, where $ \| \mu _ {i} \| = \inf \{ {M } : {| \mu _ {i} ( f ) | \leq M \| f \| } \} $, $ \| f \| = \sup _ {x} | f ( x) | $, $ f $ continuous of compact support. It also exists if the $ X _ {i} $ are compact, $ \pi _ {ij} $ surjective, and the $ \mu _ {i} $ are positive measures; then $ \mu $ is positive and $ \| \mu \| = \| \mu _ {i} \| $ for all $ i $.
The concept of consistency (compatibility) of distributions (or measures) is of special importance in the construction of stochastic processes (cf. Stochastic process; Joint distribution).
Compatible distributions. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Compatible_distributions&oldid=14474