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June 5, 2026Infinite Dimensional Analysis Quantum Probability and Related Topics0 citations

Linear Fractional Free Stable Motions and Selfsimilar Free Stable Processes

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MMMakoto MaejimaNSNoriyoshi Sakuma

Key Points

  • This research aims to study linear fractional stable motion and selfsimilar stable processes in the context of free probability.
  • Analyzed the properties of linear fractional stable motion and selfsimilar stable processes.
  • Focused on processes with stationary increments.
  • Utilized concepts from classical and free probability theory.
  • Identified key characteristics of linear fractional stable motion.
  • Established connections between selfsimilar stable processes and free probability.
  • Highlighted the significance of stationary increments in these processes.

Abstract

In classical probability theory, selfsimilar stable processes were well studied in the 1980s. Among others, the so-called linear fractional stable motion is a typical example of selfsimilar stable processes, including the well-known fractional Brownian motion as a special case. In this paper, the linear fractional stable motion and selfsimilar stable processes with stationary increments are studied within the framework of free probability.

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Cite This Study

Maejima et al. (2026) studied this question.

synapsesocial.com/papers/6a2269c9763171746d54853dhttps://doi.org/10.1142/s0219025726500104
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