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Fisher's information measure in a Tsallis' nonextensive setting and its application to diffusive process

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  • Pennini, F.
  • Plastino, A.

Abstract

Fisher's information measures, as adapted to a nonextensive (Tsallis) environment, are discussed. For systems of particles that are in a general state of motion a lower bound to these information measures is derived with the help of a recently established upper bound to the entropy increase. This lower bound to the information measure is the basis for a variational principle devised to determine unknown probability distributions. In the important instance of diffusion process we show that trying to ascertain which is the probability distribution that maximizes Fisher's information sheds some light on the meaning of Tsallis' q-parameter. We discuss applications to cosmological models that seem to suggest that a non-extensive thermostatistics with q = −1 provides an adequate scenario for discussing gravitation.

Suggested Citation

  • Pennini, F. & Plastino, A., 1997. "Fisher's information measure in a Tsallis' nonextensive setting and its application to diffusive process," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 247(1), pages 559-569.
    • Handle: RePEc:eee:phsmap:v:247:y:1997:i:1:p:559-569
    DOI: 10.1016/S0378-4371(97)00395-6
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    References listed on IDEAS

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    1. Hassan, S.A. & Kuperman, M.N. & Wio, H.S. & Zanette, D.H., 1994. "Evolution of reaction-diffusion patterns in infinite and bounded domains," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 206(3), pages 380-400.
    2. James Verdier & Rebecca Dodge & Lisa Chimento & Joel Menges & Moira Forbes, "undated". "Using Data Strategically in Medicaid Managed Care," Mathematica Policy Research Reports a9627d6381e448088b25fe89d, Mathematica Policy Research.
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