Ergodic theorems for a certain class of Markoff processes
NOTE: Text or symbols not renderable in plain ASCII are indicated by [...]. Abstract is included in .pdf document. 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 [...] a...
| Summary: | NOTE: Text or symbols not renderable in plain ASCII are indicated by [...]. Abstract is included in .pdf document.
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. |
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