Simple fixed point results for order-preserving self-maps and applications to nonlinear Markov operators

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作者
Takashi Kamihigashi
John Stachurski
机构
[1] Kobe University,RIEB (Research Institute for Economics and Business Administration)
[2] Australian National University,Research School of Economics
关键词
fixed point; order-preserving self-map; contraction; nonlinear Markov operator; global stability;
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摘要
Consider a preordered metric space (X,d,⪯). Suppose that d(x,y)≤d(x′,y′) if x′⪯x⪯y⪯y′. We say that a self-map T on X is asymptotically contractive if d(Tix,Tiy)→0 as i↑∞ for all x,y∈X. We show that an order-preserving self-map T on X has a globally stable fixed point if and only if T is asymptotically contractive and there exist x,x∗∈X such that Tix⪯x∗ for all i∈N and x∗⪯Tx∗. We establish this and other fixed point results for more general spaces where d consists of a collection of distance measures. We apply our results to order-preserving nonlinear Markov operators on the space of probability distribution functions on ℝ.
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