For continuous phase transitions characterized by power-law divergences, Fisher renormalization prescribes how to obtain the critical exponents for a system under constraint from their ideal counterparts. In statistical mechanics, such ideal behaviour at phase transitions is frequently modified by multiplicative logarithmic corrections. Here, Fisher renormalization for the exponents of these logarithms is developed in a general manner. As for the leading exponents, Fisher renormalization at the logarithmic level is seen to be involutory and the renormalized exponents obey the same scaling relations as their ideal analogues. The scheme is tested in lattice animals and the Yang–Lee problem at their upper critical dimensions, where predictions for logarithmic corrections are made.
|Journal of Statistical Mechanics: Theory and Experiment
|Published - 31 Oct 2008
Bibliographical noteThe full text is also available from: http://de.arxiv.org/abs/0810.2719
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