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On the Chung-Diaconis-Graham random process

  
@article{ECP1237,
	author = {Martin Hildebrand},
	title = {On the Chung-Diaconis-Graham random process},
	journal = {Electron. Commun. Probab.},
	fjournal = {Electronic Communications in Probability},
	volume = {11},
	year = {2006},
	keywords = {Random processes, discrete Fourier analysis},
	abstract = {Chung, Diaconis, and Graham considered random processes of the form $X_{n+1}=2X_n+b_n \pmod p$ where $X_0=0$, $p$ is odd, and $b_n$ for $n=0,1,2,\dots$ are i.i.d. random variables on $\{-1,0,1\}$. If $\Pr(b_n=-1)=\Pr(b_n=1)=\beta$ and $\Pr(b_n=0)=1-2\beta$, they asked which value of $\beta$ makes $X_n$ get close to uniformly distributed  on the integers mod $p$ the slowest.  In this paper, we extend the results of Chung, Diaconis, and Graham in the case $p=2^t-1$ to show that for $0<\beta\le 1/2$, there is no such value of $\beta$.},
	pages = {no. 34, 347-356},
	issn = {1083-589X},
	doi = {10.1214/ECP.v11-1237},    
        url = {http://ecp.ejpecp.org/article/view/1237}}