In General > s.a. complexity;
correlations [length]; renormalization
group.
* Criticality: The behaviour
of extended systems at a phase transition where scale invariance prevails.
* Critical point: The
set of values of the external parameters of a system at which its behavior
changes abruptly; Usually marks a phase transition, and the critical configuration
has characteristic scaling properties.
* Approaches: The traditional one uses dimensional analysis; Now one
often uses the renormalization group.
Self-Organized Criticality > s.a. complexity.
* Idea: A situation in
which a complex system far from equilibrium organizes itself into a configuration
(statistically) describable by just a few parameters; Emerges from the
dynamics of extended, dissipative systems that evolve through a sequence of
meta-stable states into a critical state, with long range spatial and temporal
correlations; Central questions are, How does this happen? How do we extract
usable information from vast amounts
of data?
* Modeling: 2002, The
phenomenology is seen in many areas, but it is not well understood theoretically;
There are attempts at understanding and
modeling it using energy, statistics and information concepts; A tool that
may be useful is Paczuski's "metric" used to describe correlations between
events in earthquake studies.
* Features: A 1/f noise,
as opposed to white noise; Arises from the cooperative phenomena of many degrees
of freedom, giving rise to simple
phenomena
in complex situations (in this sense, opposite to chaos).
@ General references: Kauffman 93 [in evolution]; Maslov & Zhang PhyA(96)ao [percolation,
transport model]; Jensen 98; Paczuski & Bak cm/99-in;
Alava
cm/03-in
[as a phase transition]; Cessac
et al JSP(04)
[thermodynamic formalism]; Dhar PhyA(06)
[models].
@ Related topics: Bak & Boettcher PhyD(97)cm [and
punctuated equilibrium];
Baiesi & Paczuski PRE(04)cm/03 [metric
for earthquakes]; Stapleton
et al JSP(04)
[sensitivity to initial conditions]; Yang JPA(04)
[origin of power-law distributions].
Examples and Phenomena > s.a. geometric
phase; phase transitions; sigma
models; yang-mills
gauge theory.
* Applications: The central
paradigm is the sand pile; Other common ones are earthquakes (the Earth's crust
may be in a self-organized critical state; & Maya
Paczuski), extinctions, economics, coast lines, language; Many can be classified
as "stick-slip" or "punctuated
equilibrium" phenomena.
@ Matter near criticality: Bernevig et al AP(04)
[spectroscopy]; > entanglement [scaling].
@ In general relativity: Loustó PRD(95)gq/94 [black
holes, effective 2D description]; > s.a. critical
collapse; types of singularities.
@ In quantum gravity: Smolin gq/95 [and
cosmology];
Ansari & Smolin CQG(08)-ht/04
[spin
network evolution and classical spacetime].
@ Geometry, combinatorics: Lise
& Paczuski PRL(02)cm [random
graph]; > s.a. dynamical triangulations [surfaces], networks.
@ Non-equilibrium lattice and
spin systems: Ruelle mp/00;
Ódor 08.
@ Other topics:
Grassberger JSP(95)
[directed percolation];
Ballhausen et al
PLB(04)ht/03 [continuous
dim]; Creutz PhyA(04)
[sand piles]; Paczuski & Hughes PhyA(04)
[solar
activity]; Turcotte & Malamud PhyA(04)
[examples]; Barmatz et al RMP(07)
[in microgravity].
General References
@ Intros, Reviews: Bhattacharjee cm/00-ln;
Tobochnik AJP(01)RL
[and phase transitions]; Brankov et al 02 [finite systems]; Christensen & Moloney 05 [and
complexity].
@ Texts: Ma 76; Stora & Osterwalder ed-86; Stanley 87;
Binney 92; Bak 96; Cardy 96; Zinn-Justin 96; Sornette 00; Amit & Martín-Mayor 05;
Herbut 07.
@ And renormalization group:
Barber PRP(77);
Wilson RMP(83);
Vicari a0709-in [for multi-parameter
4 theories].
@ Field theory techniques: Bagnuls & Bervillier JPS(97)ht,
IJMPA(01)ht;
Zinn-Justin
ht/98;
Folk & Moser JPA(06)
[critical behavior in equilibrium].
@ Related topics: Robledo PhyA(04)
[and Tsallis statistics]; Davatolhagh AJP(06)
[scaling laws, critical exponents]; Zanardi et al a0707 [quantum,
Bures metric
approach].
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Send feedback and suggestions to bombelli at olemiss.edu – Modified
25 may 2008