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Information temperature as a measure of complexity of random symbolic sequences

Author

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  • Usatenko, Oleg V.
  • Pritula, Galyna M.

Abstract

To advance the characterization of random symbolic sequences using macroscopic parameters, we propose the concept of specific information capacity, defined as the sensitivity of entropy to variations in information temperature for binary, stationary, ergodic sequences. We show that the complexity of a random sequence reaches its maximum when this specific information capacity approaches its maximum. Additionally, we discuss the potential of information temperature as an indicator of the cognitive or informational activity of a text-generating agent—whether human or artificial.

Suggested Citation

  • Usatenko, Oleg V. & Pritula, Galyna M., 2026. "Information temperature as a measure of complexity of random symbolic sequences," Chaos, Solitons & Fractals, Elsevier, vol. 202(P1).
    • Handle: RePEc:eee:chsofr:v:202:y:2026:i:p1:s0960077925014651
    DOI: 10.1016/j.chaos.2025.117452
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    References listed on IDEAS

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