Monotone likelihood ratio: Difference between revisions

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In [[mathematics]], the '''Parry–Daniels map''' is a [[function (mathematics)|function]] studied in the context of [[dynamical systems]]. Typical questions concern the existence of an [[invariant measure|invariant]] or [[ergodic (adjective)|ergodic measure]] for the map.
 
It is named after the [[England|English]] [[mathematician]] [[Bill Parry (mathematician)|Bill Parry]] and the [[UK|British]] [[statistician]] [[Henry Daniels]], who independently studied the map in papers published in 1962.
 
==Definition==
 
Given an [[integer]] ''n''&nbsp;≥&nbsp;1, let Σ denote the ''n''-[[dimension]]al [[simplex]] in '''R'''<sup>''n''+1</sup> given by
 
:<math>\Sigma := \{ x = (x_0, x_1, \dots, x_n) \in \mathbb{R}^{n + 1} | 0 \leq x_i \leq 1 \mbox{ for each } i \mbox{ and } x_0 + x_1 + \dots + x_n = 1 \}.</math>
 
Let ''&pi;'' be a [[permutation]] such that
 
:<math>x_{\pi(0)} \leq x_{\pi (1)} \leq \dots \leq x_{\pi (n)}.</math>
 
Then the '''Parry–Daniels map'''
 
: <math>T_{\pi} : \Sigma \to \Sigma</math>
 
is defined by
 
:<math>T_\pi (x_0, x_1, \dots, x_n) := \left( \frac{x_{\pi (0)}}{x_{\pi (n)}} , \frac{x_{\pi (1)} - x_{\pi (0)}}{x_{\pi (n)}}, \dots, \frac{x_{\pi (n)} - x_{\pi (n - 1)}}{x_{\pi (n)}} \right).</math>
 
{{DEFAULTSORT:Parry-Daniels map}}
[[Category:Dynamical systems]]
 
 
{{mathanalysis-stub}}

Revision as of 19:22, 26 January 2014

In mathematics, the Parry–Daniels map is a function studied in the context of dynamical systems. Typical questions concern the existence of an invariant or ergodic measure for the map.

It is named after the English mathematician Bill Parry and the British statistician Henry Daniels, who independently studied the map in papers published in 1962.

Definition

Given an integer n ≥ 1, let Σ denote the n-dimensional simplex in Rn+1 given by

Σ:={x=(x0,x1,,xn)n+1|0xi1 for each i and x0+x1++xn=1}.

Let π be a permutation such that

xπ(0)xπ(1)xπ(n).

Then the Parry–Daniels map

Tπ:ΣΣ

is defined by

Tπ(x0,x1,,xn):=(xπ(0)xπ(n),xπ(1)xπ(0)xπ(n),,xπ(n)xπ(n1)xπ(n)).


Template:Mathanalysis-stub