Abstract
In the present chapter we develop all the necessary tools to prove the large-N asymptotic expansion for \(\ln Z_N[V]\) up to \(\mathrm {o}(1)\) terms, in the form described in (2.5.5). This asymptotic expansion contains N-dependent functionals of the equilibrium measure whose large-N asymptotic analysis will be carried out in Sections 6.1–6.3. We shall first obtain some a priori bounds on the fluctuations of linear statistics around their means computed versus the N-dependent equilibrium measure \(\mu _{\mathrm {eq}}^{(N)}\). In other words, we consider observables given by integration against products of the centred measure: \( \mathcal{L}_{N}^{(\varvec{\lambda })} = L_{N}^{(\varvec{\lambda })} - \mu _{\mathrm{eq}}^{(N)}\). Then we shall build on a bootstrap approach to the Schwinger–Dyson equations so as to improve these a priori bounds. We shall use these improved bounds so as to identify the leading and sub-leading terms in the Schwinger–Dyson equations what, eventually, leads to an analogue, at \(\beta \not =1\), of the representation (2.5.5) which will be given in Proposition 3.3.6. Finally, upon integrating the relation (2.5.4) so as to to interpolate the partition function between a Gaussian and a general potential, we will get the N-dependent large-N asymptotic expansion of \(\ln Z_N[V]\) in Proposition 3.4.1.
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Notes
- 1.
It is straightforward to check by carrying out contour deformations that, for functions \(\psi \) decaying sufficiently fast at infinity with respect to its first variable, the condition (3.3.6) is equivalent to belonging to \( \mathfrak {X}_s(\mathbb {R})\).
- 2.
The third and fifth line are absent in the case \(\beta = 1\), and it gives a larger range of \(\alpha > 0\) for which \(\eta _N\) can be chosen so that the bootstrap works. But, eventually, this does not lead to a stronger bound because we can only initialize the bootstrap with the concentration bound (3.1.10) i.e. \(\eta _N = N^{-(1/2 - \alpha )}\).
Reference
Maïda, M., Maurel-Segala, E.: Free transport-entropy inequalities for non-convex potentials and application to concentration for random matrices. Probab. Theory Relat. Fields 159 no. 1–2, 329–356 (2014). arXiv:math.PR/1204.3208
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Borot, G., Guionnet, A., Kozlowski, K.K. (2016). Asymptotic Expansion of —The Schwinger–Dyson Equation Approach. In: Asymptotic Expansion of a Partition Function Related to the Sinh-model. Mathematical Physics Studies. Springer, Cham. https://doi.org/10.1007/978-3-319-33379-3_3
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DOI: https://doi.org/10.1007/978-3-319-33379-3_3
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