Hierarchical Mean-Field Theories
classification
❄️ cond-mat.str-el
cond-mat.stat-mech
keywords
competinghierarchicalhmftmean-fieldsystemsapplicationsapproximationbehavior
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We present a systematic and reliable methodology, termed hierarchical mean-field theory (HMFT), to study and predict the behavior of strongly coupled many-particle systems. HMFT is a simple approximation, based upon group theoretical grounds, which deals with competing orders on an equal footing. It is distinctly suitable when the various phases displayed by a system are the result of competing interactions and non-linear couplings of their constituents matter fields. We show applications relevant for systems implemented in optical lattices.
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