Poisson–Dirichlet conjecture for macroscopic loop lengths

Let 1,2,\ell_1,\ell_2,\dots be the loop lengths ordered decreasingly, let m(β)m(\beta) be the long-loop mass, and let uu be the model parameter. Define

ϑ={1,u=0 or u=1,12,u(0,1).\vartheta=\begin{cases}1,&u=0\text{ or }u=1,\frac12,&u\in(0,1). \end{cases}

Write PD[0,m(β)](ϑ)\operatorname{PD}_{[0,m(\beta)]}(\vartheta) for the distribution obtained by multiplying a Poisson–Dirichlet partition with parameter ϑ\vartheta by m(β)m(\beta). Macroscopic-loop Poisson–Dirichlet conjecture. For every kk, the joint distribution of 1,,k\ell_1,\dots,\ell_k converges to the joint distribution of the first kk elements of a random partition with distribution PD[0,m(β)](ϑ)\operatorname{PD}_{[0,m(\beta)]}(\vartheta). This is the paper's proposed universal law for macroscopic loops; the supplied material does not establish it.

Sources & referencesView supporting material

Primary source

Alessandro Barp, Edoardo Gabriele Barp, Francois-Xavier Briol and Daniel Ueltschi, “A numerical study of the 3D random interchange and random loop models”, arXiv:1505.00983 (2015).

Additional references

3 papers in this index state this conjecture (2009–2015). The statement above is taken from the most recent of them; the others are arXiv:1211.4141, arXiv:0904.0473.

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