Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2001-11-06
JETP, 93 (2001), 1119--1136
Physics
Condensed Matter
Disordered Systems and Neural Networks
37 pages, latex-revtex (new version: misprints removed, references added)
Scientific paper
10.1134/1.1427184
The statistical properties of random lattice knots, the topology of which is determined by the algebraic topological Jones-Kauffman invariants was studied by analytical and numerical methods. The Kauffman polynomial invariant of a random knot diagram was represented by a partition function of the Potts model with a random configuration of ferro- and antiferromagnetic bonds, which allowed the probability distribution of the random dense knots on a flat square lattice over topological classes to be studied. A topological class is characterized by the highest power of the Kauffman polynomial invariant and interpreted as the free energy of a q-component Potts spin system for q->infinity. It is shown that the highest power of the Kauffman invariant is correlated with the minimum energy of the corresponding Potts spin system. The probability of the lattice knot distribution over topological classes was studied by the method of transfer matrices, depending on the type of local junctions and the size of the flat knot diagram. The obtained results are compared to the probability distribution of the minimum energy of a Potts system with random ferro- and antiferromagnetic bonds.
Nechaev Sergei
Vasilyev Oleg
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