Intensive entropic non-triviality measure
We discuss a way of characterizing probability distributions, complementing that provided by the celebrated notion of information measure, with reference to a measure of complexity that we call a "nontriviality measure". Our starting point is the "LMC" measure of complexity advan...
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| Formato: | Capítulo de libro |
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2004
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| Acceso en línea: | Registro en Scopus DOI Handle Registro en la Biblioteca Digital |
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| LEADER | 06445caa a22008897a 4500 | ||
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| 001 | PAPER-4657 | ||
| 003 | AR-BaUEN | ||
| 005 | 20250821091257.0 | ||
| 008 | 190411s2004 xx ||||fo|||| 00| 0 eng|d | ||
| 024 | 7 | |2 scopus |a 2-s2.0-0942277602 | |
| 030 | |a PHYAD | ||
| 040 | |a Scopus |b spa |c AR-BaUEN |d AR-BaUEN | ||
| 100 | 1 | |a Lamberti, Pedro Walter | |
| 245 | 1 | 0 | |a Intensive entropic non-triviality measure |
| 260 | |c 2004 | ||
| 270 | 1 | 0 | |m Rosso, O.A.; Instituto de Cálculo, Fac. de Ciencias Exactas y Naturales, Ciudad Universitaria, Pabellón II, Ciudad de Buenos Aires 1428, Argentina; email: rosso@ic.fcen.uba.ar |
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| 504 | |a Kantz, H., Kurths, J., Meyer-Kress, G., (1998) Nonlinear Analysis of Physiological Data, , Berlin: Springer | ||
| 504 | |a Crutchfield, J.P., Feldman, D.P., Shalizi, C.R., (2000) Phys. Rev. E, 62, p. 2996 | ||
| 504 | |a Binder, P.M., Perry, N., (2000) Phys. Rev. E, 62, p. 2998 | ||
| 504 | |a Rosso, O.A., Martin, M.T., Plastino, A., (2003), unpublished; Kullback, S., Leibler, R.A., (1951) Ann. Math. Stat., 22, p. 79 | ||
| 504 | |a Crutchfield, J.P., Young, K., (1989) Phys. Rev. Lett., 63, p. 105 | ||
| 504 | |a Lin, J., (1991) IEEE Trans. Inform. Theory, 37, p. 1 | ||
| 504 | |a Topsoe, F., preprint, University of Copenhagen, 2002; Grosse, I., Bernaola-Galvan, P., Crapena, P., Román-Roldán, R., Oliver, J., Stanley, H.E., (2002) Phys. Rev. E, 65, p. 41905 | ||
| 504 | |a Lamberti, P.W., Majtley, A.P., (2003) Physica A, 239, p. 81 | ||
| 504 | |a Ott, E., Sauer, T., Yorke, J.A., (1994) Coping with Chaos, , New York: Wiley | ||
| 506 | |2 openaire |e Política editorial | ||
| 520 | 3 | |a We discuss a way of characterizing probability distributions, complementing that provided by the celebrated notion of information measure, with reference to a measure of complexity that we call a "nontriviality measure". Our starting point is the "LMC" measure of complexity advanced by López-Ruiz et al. (Phys. Lett. A 209 (1995) 321) and its analysis by Anteneodo and Plastino (Phys. Lett. A 223 (1997) 348). An improvement of some of their troublesome characteristics is thereby achieved. Basically, we replace the Euclidean distance to equilibrium by the Jensen-Shannon divergence. The resulting measure turns out to be (i) an intensive quantity and (ii) allows one to distinguish between different degrees of periodicity. We apply the "cured" measure to the logistic map so as to clearly exhibit its advantages. © 2004 Elsevier B.V. All rights reserved. |l eng | |
| 536 | |a Detalles de la financiación: ARG-4-G0A-6A, ARG01-005 | ||
| 536 | |a Detalles de la financiación: Consejo Nacional de Investigaciones Científicas y Técnicas, PIP 0029/98 | ||
| 536 | |a Detalles de la financiación: This work was partially supported by CONICET (PIP 0029/98), Argentina and the International Office of BMBF (ARG-4-G0A-6A and ARG01-005), Germany. | ||
| 593 | |a Fac. de Matemat./Astron./Fís., Univ. Nacional de Córdoba, Ciudad Universitaria, Córdoba 5000, Argentina | ||
| 593 | |a Instituto de Física (IFLP), Universidad Nacional de La Plata, Argentina's Natl. Res. Cncl., C.C. 727, La Plata 1900, Argentina | ||
| 593 | |a Instituto de Cálculo, Fac. de Ciencias Exactas y Naturales, Ciudad Universitaria, Pabellón II, Ciudad de Buenos Aires 1428, Argentina | ||
| 690 | 1 | 0 | |a DISEQUILIBRIUM |
| 690 | 1 | 0 | |a DISTANCES IN PROBABILITY SPACE |
| 690 | 1 | 0 | |a DYNAMICAL SYSTEMS |
| 690 | 1 | 0 | |a FRACTALS |
| 690 | 1 | 0 | |a LYAPUNOV METHODS |
| 690 | 1 | 0 | |a MATHEMATICAL MODELS |
| 690 | 1 | 0 | |a METRIC SYSTEM |
| 690 | 1 | 0 | |a PROBABILITY DISTRIBUTIONS |
| 690 | 1 | 0 | |a STATISTICAL METHODS |
| 690 | 1 | 0 | |a UNCERTAIN SYSTEMS |
| 690 | 1 | 0 | |a VECTORS |
| 690 | 1 | 0 | |a DISEQUILIBRIUM |
| 690 | 1 | 0 | |a DISTANCES IN PROBABILITY SPACES |
| 690 | 1 | 0 | |a DYNAMICAL SYSTEMS |
| 690 | 1 | 0 | |a ENTROPY |
| 700 | 1 | |a Martin, M.T. | |
| 700 | 1 | |a Plastino, Angel Luis | |
| 700 | 1 | |a Rosso, O.A. | |
| 773 | 0 | |d 2004 |g v. 334 |h pp. 119-131 |k n. 1-2 |p Phys A Stat Mech Appl |x 03784371 |w (AR-BaUEN)CENRE-280 |t Physica A: Statistical Mechanics and its Applications | |
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| 856 | 4 | 0 | |u https://doi.org/10.1016/j.physa.2003.11.005 |y DOI |
| 856 | 4 | 0 | |u https://hdl.handle.net/20.500.12110/paper_03784371_v334_n1-2_p119_Lamberti |y Handle |
| 856 | 4 | 0 | |u https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03784371_v334_n1-2_p119_Lamberti |y Registro en la Biblioteca Digital |
| 961 | |a paper_03784371_v334_n1-2_p119_Lamberti |b paper |c PE | ||
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