Kennedy, Maurice (1954) Ergodic theorems for a certain class of Markoff processes. Dissertation (Ph.D.), California Institute of Technology. http://resolver.caltech.edu/CaltechETD:etd-01072004-100602
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A system, whose state may be described by a point t in a bounded set in Euclidean space, is considered. At every unit interval of time, attractions [...] towards certain points [...] are applied with probabilities [...], where t is the state of the system. Given the initial probability distribution [...] for the state of the system, the problem is to obtain limiting theorems for the distribution at the nth unit of time as [...]. Subject to certain conditions on [...] and [...] such convergence theorems are obtained. Some particular properties for the case, where the attractions are toward the vertices of a simplex, are discussed. Finally the one-dimensional learning model is considered.
|Item Type:||Thesis (Dissertation (Ph.D.))|
|Degree Grantor:||California Institute of Technology|
|Division:||Physics, Mathematics and Astronomy|
|Thesis Availability:||Public (worldwide access)|
|Defense Date:||1 January 1954|
|Default Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Imported from ETD-db|
|Deposited On:||08 Jan 2004|
|Last Modified:||26 Dec 2012 02:27|
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