Ferromagnetic models are harmonic oscillators in statistical mechanics. Beyond their original scope in tackling phase transition and symmetry breaking in theoretical physics, they are nowadays experiencing a renewal applicative interest as they capture the main features of disparate complex phenomena, whose quantitative investigation in the past were forbidden due to data lacking. After a streamlined introduction to these models, suitably embedded on random graphs, aim of the present paper is to show their importance in a plethora of widespread research fields, so to highlight the unifying framework reached by using statistical mechanics as a tool for their investigation. Specifically we will deal with examples stemmed from sociology, chemistry, cybernetics (electronics) and biology (immunology).
Ferromagnetic models for cooperative behavior: Revisiting Universality in complex phenomena / E. Agliari; A. Barra; A. Galluzzi; A. Pizzoferrato; D. Tantari. - ELETTRONICO. - 6:(2014), pp. 73-86. (Intervento presentato al convegno Mathematical Models and Methods for Planet Heart tenutosi a Roma) [10.1007/978-3-319-02657-2_6].
Ferromagnetic models for cooperative behavior: Revisiting Universality in complex phenomena
E. Agliari;D. Tantari
2014
Abstract
Ferromagnetic models are harmonic oscillators in statistical mechanics. Beyond their original scope in tackling phase transition and symmetry breaking in theoretical physics, they are nowadays experiencing a renewal applicative interest as they capture the main features of disparate complex phenomena, whose quantitative investigation in the past were forbidden due to data lacking. After a streamlined introduction to these models, suitably embedded on random graphs, aim of the present paper is to show their importance in a plethora of widespread research fields, so to highlight the unifying framework reached by using statistical mechanics as a tool for their investigation. Specifically we will deal with examples stemmed from sociology, chemistry, cybernetics (electronics) and biology (immunology).File | Dimensione | Formato | |
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