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Extreme physical information

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Extreme physical information (EPI) is a principle, first described and formulated in 1998 [3] by B. Roy Frieden, Emeritus Professor of Optical Sciences at the University of Arizona, that states, the precipitation of scientific laws can be derived through Fisher information, taking the form of differential equations and probability distribution functions.

Introduction

Physicist John Archibald Wheeler stated that: All things physical are information-theoretic in origin and this is a participatory universe... Observer participancy gives rise to information; and information gives rise to physics. By using Fisher information, in particular the loss I - J incurred during observation, the EPI principle provides a powerful new approach for deriving laws governing many aspects of nature and human society. EPI can be seen as an extension of information theory that encompasses much theoretical physics and chemistry. Examples include the Schrödinger wave equation and the Maxwell-Boltzmann distribution law. EPI has been used to derive a number of fundamental laws of physics [1][2], biology [4], the biophysics of cancer growth [5], chemistry [5], and economics [7]. EPI can also be seen as a game against nature, first proposed by Charles S. Peirce. The approach does require prior knowledge of an appropriate invariance principle or data.

Some critics regard the theory as vague and ill-defined. For example, the location of the extremum may depend on the coordinate system used to model the physical objects.

EPI principle

The EPI principle builds on the well known idea that the observation of a "source" phenomenon is never completely accurate. That is, information present in the source is inevitably lost when observing the source. Moreover, the random errors that contaminate the observations are presumed to define the probability distribution function of the source phenomenon. That is, "the physics lies in the fluctuations." The information loss is postulated to be an extreme value. Thus, if the Fisher information in the data is [\mathcal], and the Fisher information in the source is [\mathcal], the EPI principle states that:

[\mathcal-\mathcal=\mathrm ]

The extremum for most situations is a minimum, meaning that there is a comforting tendency for any observation to describe its source faithfully.

References

[1]. Frieden, B.R. & Hughes, R.J. - Spectral 1/f noise derived from extremized physical information, Phys. Rev. E 49, 2644, 1994

[2]. Frieden, B.R. & Soffer, B.H. - Lagrangians of physics and the game of Fisher-information transfer, Phys. Rev. E 52, 2274, 1995

[3]. Frieden, B. Roy - Science from Fisher Information: A Unification , 1st Ed. Cambridge University Press, ISBN 052163167X, pp328, 1998

[4]. Frieden, B.R., & Plastino, A. & Soffer, B.H. - Population genetics from an information perspective, J. Theor. Biol. 208, 49-64, 2001

[5]. Frieden, B.R. & Gatenby, R.A. - Information dynamics in carcinogenesis and tumor growth, Mutat. Res. 568, 259, 2004

[6]. Frieden, B. Roy - Science from Fisher Information: A Unification , 2nd Ed. Cambridge University Press, ISBN 0521009111, pp502, 2004

[7]. Hawkins, R.J. & Frieden, B.R. & D'Anna, J.L. - Ab initio yield curve dynamics, Phys. Lett. A 344, 317, 2005

[8]. Frieden, B.R. & Gatenby, R.A. - Power laws of complex systems from extreme physical information, Phys. Rev. E 72, 036101, 2005

[9]. Frieden, B.R. & Gatenby, R.A. eds. - Exploratory Data Analysis Using Fisher Information, Springer-Verlag (in press), 2006

Books

External links

Recent papers using EPI

Cancer Research 62, 3675-3684, July 1, 2002
http://cancerres.aacrjournals.org/cgi/content/full/62/13/3675
Phs. Rev. E 62, 7462-7465, 2000
http://prola.aps.org/abstract/PRE/v62/i5/p7462_1subj: statistical mechanics
http://scitation.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=JCPSA6000119000018009401000001&idtype=cvips&gifs=yes
Subj: The Euler equation of density functional theory is derived using EPI.
Plasma Phys. Control. Fusion 38, 1849-1878, 1996
http://ej.iop.org/links/q80/fVFo+Bx3KRlwd6qcdU2Saw/p61101.pdf
http://pos.sissa.it/archive/conferences/025/063/FNDA2006_063.pdf
Subj: Diagnosis of plasma shape within the tokamak fusion machine using reconstructions based upon EPI.
Presented at 6th International Conference on Complex Systems (ICCS) June, 2006
Boston, MA Full paper is in Frieden and Gatenby, 2006
http://necsi.org/community/wiki/index.php/ICCS06/235
Subj: Encryption, secure transmission using EPI, in particular game aspect.
Ecological Modeling 174, 25-35, 2004 - CW 2003
http://zp9vv3zm2k.scholar.serialssolutions.com/sid=google&auinit=BD&aulast=Fath&atitle=Exergy+and+Fisher+Information+as+ecological+indices&id=doi:10.1016/j.ecolmodel.2003.12.045
Subj: monitoring of the environment for species diversity
http://isce.edu/ISCE_Group_Site/web-content/ISCE%20Events/Christchurch_2005/Papers/Yolles.pdf
Subj: Information-based approaches to knowledge management.
Intelligent Computing: Theory and Applications II, Priddy, K. L. ed, Volume 5421, pp. 48-57, Orlando, FL, 2004
http://spiedl.aip.org/getpdf/servlet/GetPDFServlet?filetype=pdf&id=PSISDG005421000001000048000001&idtype=cvips&prog=normal
  • Ménard,Michel. & Eboueya, Michel. - "Extreme physical information and objective function in fuzzy clustering",
  • Fuzzy Sets and Systems 128(3): 285-303, 2002
    http://www.sciencedirect.com/science?_ob=MImg&_imagekey=B6V05-45SR1TJ-1-1&_cdi=5637&_user=56761&_orig=na&_coverDate=06%2F162F2002&_sk=998719996&view=c&wchp=dGLbVlz-zSkWb&md5=4280259595b947a7b560f634f47de5c4&ie=/sdarticle.pdf
    extreme physical information for fuzzy clustering (invited paper)", IJCC, 2 (4): 1-63, 2004
    http://www.yangsky.us/ijcc/pdf/ijcc241.pdf

    Further helpful reading

     


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