renormalization group methods in statistical mechanics

Renormalization group methods in statistical mechanics refer to powerful mathematical techniques used to study the behavior of systems consisting of a large number of particles. These methods allow us to understand the collective behavior of these particles, such as phase transitions and critical phenomena, by systematically coarse-graining the system and analyzing its behavior at different length scales. By successively averaging over smaller and smaller regions, we can extract information about the system's behavior at different energy scales, providing valuable insights into its overall properties.

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