Abstract
We show that in any dimension d≥1, the cycle-length process of stationary random stirring (or, random interchange) on the lattice torus converges to the canonical Markovian split-and-merge process with the invariant (and reversible) measure given by the Poisson–Dirichlet law PD(1), as the size of the system grows to infinity. In the case of transient dimensions, d≥3, the problem is motivated by attempts to understand the onset of long range order in quantum Heisenberg models via random loop representations of the latter.
Original language | English |
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Pages (from-to) | 630–653 |
Number of pages | 24 |
Journal | Journal of Statistical Physics |
Volume | 180 |
DOIs | |
Publication status | Published - 1 Feb 2020 |
Keywords
- random interchange process
- split-and-merge
- Poisson-Dirichlet distribution
- quantum Heisenberg model
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Dive into the research topics of 'Split-and-Merge in Stationary Random Stirring on Lattice Torus'. Together they form a unique fingerprint.Profiles
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Professor Balint A Toth
- School of Mathematics - Chair in Probability
- Probability, Analysis and Dynamics
- Probability
Person: Academic , Member, Group lead