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Duality with real-space renormalization and its application to bond percolation
1Department of Systems Science, Graduate School of Informatics, Kyoto University, Yoshida-Honmachi, Kyoto 606-8501, Japan.
We derived exact solutions for bond-percolation thresholds with varying probabilities on square lattices. This new, simpler method uses duality analysis and real-space renormalization, offering broader applicability to other lattice types.
Area of Science:
- Statistical Physics
- Complex Systems
- Materials Science
Background:
- Percolation theory studies the connectivity of random networks.
- Understanding bond-percolation thresholds is crucial for various physical phenomena.
- Inhomogeneous probabilities introduce complexity to standard percolation models.
Purpose of the Study:
- To derive the exact solution for bond-percolation thresholds on a square lattice with inhomogeneous probabilities.
- To present a more straightforward formulation compared to existing methods.
- To develop generic formulas applicable to other lattice structures.
Main Methods:
- The study employs duality analysis, a technique originating from spin-glass theory.
- Real-space renormalization is utilized as a core component of the methodology.
- The approach focuses on a direct derivation of the percolation thresholds.
Main Results:
- Exact solutions for bond-percolation thresholds on inhomogeneous square lattices were obtained.
- A novel, simplified formulation of the problem was established.
- Generic formulas were derived, extending beyond the square lattice.
Conclusions:
- The developed method provides an exact and efficient way to determine bond-percolation thresholds.
- The findings offer a valuable tool for analyzing complex systems with varying connectivity probabilities.
- The generic formulas pave the way for estimating percolation thresholds on diverse lattice types.
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