74 research outputs found
Chiral phase transition in the linear sigma model within Hartree factorization in the Tsallis nonextensive statistics
We studied chiral phase transition in the linear sigma model within the
Tsallis nonextensive statistics in the case of small deviation from the
Boltzmann-Gibbs (BG) statistics. The statistics has two parameters: the
temperature and the entropic parameter . The normalized -expectation
value and the physical temperature \Tph were employed in this study. The
normalized -expectation value was expanded as a series of the value ,
where the absolute value is the measure of the deviation from the BG
statistics. We applied the Hartree factorization and the free particle
approximation, and obtained the equations for the condensate, the sigma mass,
and the pion mass. The physical temperature dependences of these quantities
were obtained numerically. We found following facts. The condensate at is
smaller than that at for . The sigma mass at is lighter than
that at for at low physical temperature, and the sigma mass at
is heavier than that at for at high physical temperature. The pion
mass at is heavier than that at for . The difference between the
pion masses at different values of is small for \Tph \le 200 MeV. That is
to say, the condensate and the sigma mass are affected by the Tsallis
nonextensive statistics of small , and the pion mass is also affected by
the statistics of small except for \Tph \le 200 MeV.Comment: 9 pages, 6 figure
Thermodynamic relations and fluctuations in the Tsallis statistics
The thermodynamic relations in the Tsallis statistics were studied with
physical quantities. An additive entropic variable related to the Tsallis
entropy was introduced by assuming the form of the first law of the
thermodynamics. The fluctuations in the Tsallis statistics were derived with
physical quantities with the help of the introduced entropic variable. It was
shown that the mean squares of the fluctuations of the physical quantities in
the Tsallis statistics are the same as those in the conventional statistics.
The mean square of the fluctuation of the Tsallis entropy and the mean square
of the fluctuation of the Tsallis temperature were also derived. The mean
square of the relative fluctuation of the Tsallis entropy and the mean square
of the relative fluctuation of the Tsallis temperature are represented with
heat capacities. It was shown that these fluctuations of the Tsallis quantities
have the -dependent terms in the Tsallis statistics of the entropic
parameter .Comment: 10 page
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