Bethe $M$-layer construction for the percolation problem
One way to perform field theory computations for the bond percolation problem is through the Kasteleyn and Fortuin mapping to the n+1 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mrow> <mml:mi>n</mml:mi> <mml:mo>+</mml:mo> <mml:mn>1</mml:mn> </mml:mrow> </mml:math> states Potts model in the limit of n \to 0 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mrow> <mml:mi>n</mml:mi> <mml:mo>→</mml:mo> <mml:mn>0</mml:mn> </mml:mrow> </mml:math> . In this paper, we show that it is possible to recover the \epsilon <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mi>ϵ</mml:mi> </mml:math> -expansion for critical exponents in finite dimension directly using the M <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mi>M</mml:mi> </mml:math> -layer expansion, without the need to perform any analytical continuation. Moreover, we also show explicitly that the critical exponents for site and bond percolation are the same. This computation provides a reference for applications of the M <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mi>M</mml:mi> </mml:math> -layer method to systems where the underlying field theory is unknown or disputed.
Authors
- Marco Tarzia (ORCID: https://orcid.org/0000-0001-8113-7049)
- Maria Chiara Angelini (ORCID: https://orcid.org/0000-0002-6277-359X)
- Tommaso Rizzo (ORCID: https://orcid.org/0000-0001-5902-0565)
- Saverio Palazzi (ORCID: https://orcid.org/0009-0001-6442-094X)
Institutions
- Institut Universitaire de France (FR)
- Laboratoire de Physique Théorique de la Matière Condensée (FR)
- Institute for Complex Systems (IT)
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma I (IT)
- Sapienza University of Rome (IT)
Publication Details
- Journal
- SciPost Physics
- Published
- 2025-01-23
- DOI
- https://doi.org/10.21468/scipostphys.18.1.030
- Citations
- 3
- Primary Topic
- Random Matrices and Applications
- Type
- article
- Field-Weighted Citation Impact
- 7.89