Formal Symplectic Groupoid

被引:0
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作者
Alberto S. Cattaneo
Benoit Dherin
Giovanni Felder
机构
[1] Universität Zürich–Irchel,Institut für Mathematik
[2] ETH-Zentrum,D
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关键词
Neural Network; Statistical Physic; Generate Function; Complex System; Nonlinear Dynamics;
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摘要
The multiplicative structure of the trivial symplectic groupoid over ℝd associated to the zero Poisson structure can be expressed in terms of a generating function. We address the problem of deforming such a generating function in the direction of a non-trivial Poisson structure so that the multiplication remains associative. We prove that such a deformation is unique under some reasonable conditions and we give the explicit formula for it. This formula turns out to be the semi-classical approximation of Kontsevich’s deformation formula. For the case of a linear Poisson structure, the deformed generating function reduces exactly to the CBH formula of the associated Lie algebra. The methods used to prove existence are interesting in their own right as they come from an at first sight unrelated domain of mathematics: the Runge–Kutta theory of the numeric integration of ODE’s.
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页码:645 / 674
页数:29
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