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Dynamical mean field theory phase-space extension and critical properties of the finite temperature Mott transition
University of Gothenburg, Gothenburg, Sweden.ORCID iD: 0000-0002-7263-4403
University of Gothenburg, Gothenburg, Sweden.
University of Gothenburg, Gothenburg, Sweden.
University of Gothenburg, Gothenburg, Sweden.
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2011 (English)In: Physical Review B, ISSN 2469-9950, E-ISSN 2469-9969, Vol. 83, no 20, article id 205136Article in journal (Refereed) Published
Abstract [en]

We consider the finite temperature metal-insulator transition in the half filled paramagnetic Hubbard model on the infinite dimensional Bethe lattice. A new method for calculating the Dynamical Mean Field Theory fixpoint surface in the phase diagram is presented and shown to be free from the convergence problems of standard forward recursion. The fixpoint equation is then analyzed using dynamical systems methods. On the fixpoint surface the eigenspectra of its Jacobian is used to characterize the hysteresis boundaries of the first order transition line and its second order critical end point. The critical point is shown to be a cusp catastrophe in the parameter space, opening a pitchfork bifurcation along the first order transition line, while the hysteresis boundaries are shown to be saddle-node bifurcations of two merging fixpoints. Using Landau theory the properties of the critical end point is determined and related to the critical eigenmode of the Jacobian. Our findings provide new insights into basic properties of this intensively studied transition. 

Place, publisher, year, edition, pages
American Physical Society, 2011. Vol. 83, no 20, article id 205136
National Category
Condensed Matter Physics
Identifiers
URN: urn:nbn:se:oru:diva-90043DOI: 10.1103/PhysRevB.83.205136ISI: 000291090100008Scopus ID: 2-s2.0-79961110037OAI: oai:DiVA.org:oru-90043DiVA, id: diva2:1532023
Funder
Swedish Research Council, 2007-5397 2008-4242
Note

Funding Agencies:

University of Gothenburg 

Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX) p2008033

Chalmers Centre for Computational Science and Engineering (C3SE) 001-10-37

Available from: 2021-03-01 Created: 2021-03-01 Last updated: 2021-03-01Bibliographically approved

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Strand, Hugo

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