| Extreme Physical Information |
Article Index for Extreme |
Website Links For Extreme |
Information AboutExtreme Physical Information |
| CATEGORIES ABOUT EXTREME PHYSICAL INFORMATION | |
| estimation theory | |
| information theory | |
|
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 Frieden, B.R. & Hughes, R.J., ''Spectral 1/f Noise derived from extremized physical information'', ''Phys. Rev. E'' 49, 2644, 1994Frieden, B.R. & Soffer, B.H., ''Lagrangians of physics and the game of Fisher-information transfer'', ''Phys. Rev. E'' '''52,''' 2274, 1995, Biology Frieden, B.R., & Plastino, A. & Soffer, B.H., ''Population genetics from an information perspective'', ''J. Theor. Biol.'' '''208,''' 49-64, 2001, the Biophysics of Cancer growth Frieden, B.R. & Gatenby, R.A. - ''Information dynamics in carcinogenesis and tumor growth'', ''Mutat. Res.'' '''568,''' 259, 2004, Chemistry , and Economics Hawkins, R.J. & Frieden, B.R. & D'Anna, J.L. - ''Ab initio yield curve dynamics'', ''Phys. Lett. A'' '''344,''' 317, 2005. 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. 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 , and the Fisher information in the source is , the EPI principle states that: : The extremum for most situations is a minimum, meaning that there is a comforting tendency for any observation to describe its source faithfully. REFERENCES
BOOKS
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
: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 SEE ALSO EXTERNAL LINKS
|
|
|