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Learning with Boltzmann–Gibbs Statistical Mechanics

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Introduction to Nonextensive Statistical Mechanics
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where \(x/\sigma \in{\mathbb R}^D\), \(D \ge 1\) being the dimension of the full space of microscopic states (called Gibbs \(\Gamma\) phase-space} for classical Hamiltonian systems). Typically x carries physical units. The constant \(\sigma\) carries the same physical units as x, so that \(x/\sigma\) is a dimensionless quantity (we adopt from now on the notation \([x]=[\sigma]\), hence \([x/\sigma]=1\)). For example, if we are dealing with an isolated classical N-body Hamiltonian system of point masses interacting among them in d dimensions, we may use \(\sigma=\hbar^{Nd}\). This standard choice comes of course from the fact that, at a sufficiently small scale, Newtonian mechanics becomes incorrect and we must rely on quantum mechanics. In this case, \(D=2dN\), where each of the d pairs of components of momentum and position of each of the N particles has been taken into account (we recall that \([momentum][position]=[\hbar]\)).

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Tsallis, C. (2009). Learning with Boltzmann–Gibbs Statistical Mechanics. In: Introduction to Nonextensive Statistical Mechanics. Springer, New York, NY. https://doi.org/10.1007/978-0-387-85359-8_2

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