Mean field theory is an approach used to analyze many-particle systems by simplifying the interactions between particles into an average effect, rather than considering the specific interactions between each pair of particles. This method allows for the derivation of macroscopic properties from microscopic behaviors by treating each particle as experiencing an average field created by all other particles, rather than tracking their individual interactions. This approach is crucial for understanding phase transitions and critical phenomena in statistical mechanics.
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