During the last two decades, functional renormalization group (FRG) emerged as a versatile class of methodologies which can be used in a variety of cases, ranging from statistical mechanics models and interacting field theories to condensed matter strongly interacting systems. The development of FRG techniques from one hand had a methodological side – aimed at testing different ways to handle with approximations of the functional equations – and from the other concurred to define FRG as a method to be seriously considered to face new and poorly/not yet understood problems. Both directions, i.e. improve and test known techniques and proposed refinements against well known problems and concretely deal with non-testbed problems, have motivated the work done during the PhD. This thesis aims at present, provide details and put in perspective results obtained during my PhD in the last three years. Many of such results have been published, in a more synthetic way, in peer review journals, others are going to appear online soon. Some others will probably remain only in this thesis, but together with the published material will be instrumental to delineate a path leading to a deeper understanding and a (hopefully) clearer presentation of potentialities and issues of the FRG method.
Application of functional renormalization group approach to spin systems and long range models / Defenu, Nicolò. - (2016 Oct 18).
Application of functional renormalization group approach to spin systems and long range models
Defenu, Nicolò
2016-10-18
Abstract
During the last two decades, functional renormalization group (FRG) emerged as a versatile class of methodologies which can be used in a variety of cases, ranging from statistical mechanics models and interacting field theories to condensed matter strongly interacting systems. The development of FRG techniques from one hand had a methodological side – aimed at testing different ways to handle with approximations of the functional equations – and from the other concurred to define FRG as a method to be seriously considered to face new and poorly/not yet understood problems. Both directions, i.e. improve and test known techniques and proposed refinements against well known problems and concretely deal with non-testbed problems, have motivated the work done during the PhD. This thesis aims at present, provide details and put in perspective results obtained during my PhD in the last three years. Many of such results have been published, in a more synthetic way, in peer review journals, others are going to appear online soon. Some others will probably remain only in this thesis, but together with the published material will be instrumental to delineate a path leading to a deeper understanding and a (hopefully) clearer presentation of potentialities and issues of the FRG method.File | Dimensione | Formato | |
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