Algorithmic complexity of thermal ratchet motion |
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| Institution: | 1. Dipartimento Interateneo di Fisica, Università deli Studi di Bari “A. Moro”, Via G. Amendola 173, 70126 Bari, Italy;2. Apulia Region Environmental Protection Agency (ARPA Puglia), C.so Trieste 27, 70126 Bari, Italy;3. Istituto Nazionale di Fisica Nucleare (INFN), Sezione di Bari, Via Orabona 4, 70125 Bari, Italy;4. National Research Council of Italy (CNR), Institute of Atmospheric Sciences and Climate (ISAC), Lecce s.p. Lecce-Monteroni km 1.2, 73100 Lecce, Italy;5. Dipartimento di Economia e Finanza, Università degli Studi di Bari, “A. Moro”, Largo Abbazia S. Scolastica (già via C. Rosalba, 53), 70124 Bari, Italy |
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| Abstract: | Thermal ratchets are Brownian models where time-correlated fluctuations coming from a nonequilibrium bath interacting with a spatial asymmetry are sufficient conditions to give rise to transport. The nonequilibrium bath acts as a source of negentropy (physical information). In order to quantitate the transfer of information that occurs in thermal ratchet motion, the Kolmogorov information entropy or algorithmic complexity is investigated. The complexity is measured in terms of the average number of bits per time unit necessary to specify the sequence generated by the system. |
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