Spectral Gap and Transience for Ruelle Operators on Countable Markov Shifts

2009 ◽  
Vol 292 (3) ◽  
pp. 637-666 ◽  
Author(s):  
Van Cyr ◽  
Omri Sarig
2013 ◽  
Vol 34 (4) ◽  
pp. 1103-1115 ◽  
Author(s):  
RODRIGO BISSACOT ◽  
RICARDO DOS SANTOS FREIRE

AbstractWe prove that if ${\Sigma }_{\mathbf{A} } ( \mathbb{N} )$ is an irreducible Markov shift space over $ \mathbb{N} $ and $f: {\Sigma }_{\mathbf{A} } ( \mathbb{N} )\rightarrow \mathbb{R} $ is coercive with bounded variation then there exists a maximizing probability measure for $f$, whose support lies on a Markov subshift over a finite alphabet. Furthermore, the support of any maximizing measure is contained in this same compact subshift. To the best of our knowledge, this is the first proof beyond the finitely primitive case in the general irreducible non-compact setting. It is also noteworthy that our technique works for the full shift over positive real sequences.


2008 ◽  
Vol 22 (1/2, September) ◽  
pp. 131-164 ◽  
Author(s):  
Manuel Stadlbauer ◽  
Yuri Kifer ◽  
Manfred Denker

Nonlinearity ◽  
2021 ◽  
Vol 34 (7) ◽  
pp. 4819-4843
Author(s):  
Elmer R Beltrán ◽  
Rodrigo Bissacot ◽  
Eric O Endo

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