2016/06/02 by Thomas Kaijser, Kaijser, Thomas
Computer Science · Economics, Econometrics and Finance · Mathematics · #37E05 #37H10 #60B10 #60J05 #Data Management and Algorithms #FOS: Mathematics #Mathematical Dynamics and Fractals #Point processes and geometric inequalities #Probability (math.PR) #Stochastic processes and financial applications #Stochastic processes and statistical mechanics
paper · pdf · doi:10.48550/arxiv.1606.00741
openalex publication_date 2016/06/02 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Let g(x)=x/2 + 17/30 (mod 1), let \ξi, i= 1,2,... be a sequence of\nindependent, identically distributed random variables with uniform distribution\non the interval [0,1/15], define gi(x)=g(x)+ \ξi (mod 1) and, for n=1,2,...,\ndefine gn(x)=gn(gn-1(...(g1(x))...)). For x \∈ [0,1) let \μn,x\ndenote the distribution of gn(x). The purpose of this note is to show that\nthere exists a unique probability measure \μ, such that, for all x \∈ [0,1),\n\μn,x tends to \μ, as n tends to infinity. This contradicts a claim by\nLasota and Mackey from 1987 stating that the process has an asymptotic\nthree-periodicity.\n