Source: Adv. in Appl. Probab. Volume 42, Number 3
(2010), 855-877.
We develop classification results for max-stable processes, based on their
spectral representations. The structure of max-linear isometries and minimal
spectral representations play important roles. We propose a general
classification strategy for measurable max-stable processes based on the notion
of co-spectral functions. In particular, we discuss the spectrally
continuous-discrete, the conservative-dissipative, and the positive-null
decompositions. For stationary max-stable processes, the latter two
decompositions arise from connections to nonsingular flows and are closely
related to the classification of stationary sum-stable processes. The interplay
between the introduced decompositions of max-stable processes is further
explored. As an example, the Brown-Resnick stationary processes, driven by
fractional Brownian motions, are shown to be dissipative.
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