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arXiv:1906.11187math.PR

The elliptic stochastic quantization of some two dimensional Euclidean QFTs

Sergio Albeverio, Francesco C. De Vecchi, Massimiliano Gubinelli

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Abstract

We study a class of elliptic SPDEs with additive Gaussian noise on $\mathbb{R}^2 \times M$, with $M$ a $d$-dimensional manifold equipped with a positive Radon measure, and a real-valued non linearity given by the derivative of a smooth potential $V$, convex at infinity and growing at most exponentially. For quite general coefficients and a suitable regularity of the noise we obtain, via the dimensional reduction principle discussed in our previous paper on the topic, the identity between the law of the solution to the SPDE evaluated at the origin with a Gibbs type measure on the abstract Wiener space $L^2 (M)$. The results are then applied to the elliptic stochastic quantization equation for the scalar field with polynomial interaction over $\mathbb{T}^2$, and with exponential interaction over $\mathbb{R}^2$ (known also as Høeg-Krohn or Liouville model in the literature). In particular for the exponential interaction case, the existence and uniqueness properties of solutions to the elliptic equation over $\mathbb{R}^{2 + 2}$ is derived as well as the dimensional reduction for the values of the ``charge parameter'' $σ= \fracα{2\sqrtπ} < \sqrt{4 \left( 8 - 4 \sqrt{3} \right) π} \simeq \sqrt{4.23π}$, for which the model has an Euclidean invariant probability measure (hence also permitting to get the corresponding relativistic invariant model on the two dimensional Minkowski space).

arXiv comments
There was an important error in Lemma 26 of the previous version which has been fixed in the present one. In order to correct the error, the interval of admissible "charge parameters" has been reduced
Journal reference
DOI
Subjects
math.PRProbability math-phMathematical Physics

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    • I generally use TeXmacs for notes, derivations, lectures, articles, all, of course. Most of my papers in the last 7 years, around 15 and all my lectures in the same period, circa 2 courses a year. More in detail, all these papers are been written completely in TeXmacs and then…

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