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. Author manuscript; available in PMC: 2011 Aug 15.
Published in final edited form as: Biochim Biophys Acta. 2008 Oct 1;1788(1):53–63. doi: 10.1016/j.bbamem.2008.09.010

TABLE 1.

Static exponents characterize variables that do not change through time, such as susceptibility, specific heat, and the distribution of correlations. Exponents are taken from (25; 26). Additional exponents and further explanation can be found in the chart in reference (18). Each exponent applies to all systems within the same universality class (e.g. 2-D Ising). An exponent of 0 denotes logarithmic dependence. Dynamic exponents, which are not shown here, characterize the time dependence of variables, and each exponent depends on the details of each system (e.g. 2-D Ising with or without conserved order parameter) (106).

Measured quantity Static Exponent 2-D Ising prediction 3-D Ising prediction Mean field prediction
Specific heat α 0 0.110(5) 0
Order parameter β 1/8 0.325±0.0015 1/2
Susceptibility/Compressibility γ 7/4 1.2405±0.0015 1
Shape of critical isotherm δ 15 4.82(4) 3
Correlation length ν 1 0.630(2) 1/2
Asymptote of correlation function η 1/4 0.32±0.003 0
Line or surface tension μ = (d − 1) ν 1