Source: Ann. Probab. Volume 33, Number 5
(2005), 1782-1803.
This paper elucidates the connection between stationary symmetric α-stable processes with 0<α<2 and nonsingular flows on measure spaces by describing a new and unique decomposition of stationary stable processes into those corresponding to positive flows and those corresponding to null flows. We show that necessary and sufficient for a stationary stable process to be ergodic is that its positive component vanishes.
References
Aaronson, J. (1997). An Introduction to Infinite Ergodic Theory. Amer. Math. Soc., Providence, RI.
Bretagnolle, J., Dacunha-Castelle, D. and Krivine, J. (1966). Lois stables et espaces $L^p$. Ann. Inst. H. Poincaré Sect. B 2 231--259.
Mathematical Reviews (MathSciNet):
MR203757
Cambanis, S., Hardin, C., Jr. and Weron, A. (1987). Ergodic properties of stationary stable processes. Stochastic Process. Appl. 24 1--18.
Mathematical Reviews (MathSciNet):
MR883599
Gross, A. (1994). Some mixing conditions for stationary symmetric stable stochastic processes. Stochastic Process. Appl. 51 277--295.
Gross, A. and Robertson, J. (1993). Ergodic properties of random measures on stationary sequences of sets. Stochastic Process. Appl. 46 249--265.
Krengel, U. (1967). Classification of states for operators. Proc. Fifth Berkeley Symp. Math. Statist. Probab. 2 415--429. Univ. California Press, Berkeley.
Mathematical Reviews (MathSciNet):
MR241601
Krengel, U. (1985). Ergodic Theorems. de Gruyter, Berlin.
Mathematical Reviews (MathSciNet):
MR797411
Kuelbs, J. (1973). A representation theorem for symmetric stable processes and stable measures on H. Z. Wahrsch. Verw. Gebiete 26 259--271.
Mathematical Reviews (MathSciNet):
MR420770
Maruyama, G. (1949). The harmonic analysis of stationary processes. Mem. Fac. Sci. Kyushu Univ. Ser. A 4 45--106. Doctoral thesis.
Mathematical Reviews (MathSciNet):
MR32127
Meyn, S. and Tweedie, R. (1993). Markov Chains and Stochastic Stability. Springer, London.
Mikosch, T. and Samorodnitsky, G. (2000). Ruin probability with claims modeled by a stationary ergodic stable process. Ann. Probab. 28 1814--1851.
Pipiras, V. and Taqqu, M. S. (2004). Stable stationary processes related to cyclic flows. Ann. Probab. 32 2222--2260.
Podgórski, K. (1992). A note on ergodic symmetric stable processes. Stochastic Process. Appl. 43 355--362.
Resnick, S. and Samorodnitsky, G. (2004). Point processes associated with stationary stable processes. Stochastic Process. Appl. 114 191--210.
Resnick, S., Samorodnitsky, G. and Xue, F. (1999). How misleading can sample ACF's of stable MA's be? (Very!). Ann. Appl. Probab. 9 797--817.
Resnick, S., Samorodnitsky, G. and Xue, F. (2000). Growth rates of sample covariances of stationary symmetric $\alpha$-stable processes associated with null recurrent Markov chains. Stochastic Process. Appl. 85 321--339.
Rosiński, J. (1995). On the structure of stationary stable processes. Ann. Probab. 23 1163--1187.
Rosiński, J. and Samorodnitsky, G. (1996). Classes of mixing stable processes. Bernoulli 2 365--377.
Rosiński, J. and Zak, T. (1997). The equivalence of ergodicity and weak mixing for infinitely divisible processes. J. Theoret. Probab. 10 73--86.
Samorodnitsky, G. (2004). Extreme value theory, ergodic theory, and the boundary between short memory and long memory for stationary stable processes. Ann. Probab. 32 1438--1468.
Samorodnitsky, G. (2004). Maxima of continuous time stationary stable processes. Adv. in Appl. Probab. 36 805--823.
Samorodnitsky, G. and Taqqu, M. (1994). Stable Non-Gaussian Random Processes. Chapman and Hall, New York.
Schilder, M. (1970). Some structure theorems for the symmetric stable laws. Ann. Math. Statist. 41 412--421.
Mathematical Reviews (MathSciNet):
MR254915
Schreiber, M. (1972). Quelques remarques sur les caractéristiques des espaces $L^p$, $0\leq p <1$. Ann. Inst. H. Poincaré 8 83--92.
Mathematical Reviews (MathSciNet):
MR312200
Sharpe, M. (1988). General Theory of Markov Processes. Academic Press, Boston.
Mathematical Reviews (MathSciNet):
MR958914
Surgailis, D., Rosiński, J., Mandrekar, V. and Cambanis, S. (1993). Stable mixed moving averages. Probab. Theory Related Fields 97 543--558.