Generalized Pauli principle for particles with distinguishable traits
Dan Liu, Jared Vanasse, Gerhard Muller, Michael Karbach

TL;DR
This paper develops a generalized Pauli principle describing particles with distinguishable internal traits, enabling exact statistical analysis of complex spin systems and revealing how species can merge or split based on their internal structure.
Contribution
It introduces a generalized Pauli principle for particles with internal traits, allowing for exact statistical mechanics analysis and understanding of species merging and splitting.
Findings
Particles are free of interaction energies at high densities.
Species merging leads to effectively indistinguishable particles with modified exclusion statistics.
Functional relations govern concentrations of original species in merged systems.
Abstract
The s=3/2 Ising spin chain with uniform nearest-neighbor coupling, quadratic single-site potential, and magnetic field is shown to be equivalent to a system of 17 species of particles with internal structure. The same set of particles (with different energies) is shown to generate the spectrum of the s=1/2 Ising chain with dimerized nearest-neighbor coupling. The particles are free of interaction energies even at high densities. The mutual exclusion statistics of particles from all species is determined by their internal structure and encoded in a generalized Pauli principle. The exact statistical mechanical analysis can be performed for thermodynamically open or closed systems and with arbitrary energies assigned to all particle species. Special circumstances make it possible to merge two or more species into a single species. All traits that distinguish the original species become…
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