We consider a class of discrete dynamical models allowing a quantum description. Our approach to quantization consists in the introduction of a gauge connection with values in an n-dimensional unitary representation of some group (of internal symmetries) Γ; elements of the connection are interpreted as amplitudes of quantum transitions. The standard quantization is a special case of this construction: Feynman’s path amplitude ei ∫Ldt can be interpreted as a parallel transport with values in the (1-dimensional) fundamental representation of the group Γ= U(1). If we take a finite group as the quantizing group Γ, all our manipulations – in contrast to the standard quantization – remain within the framework of constructive discrete mathematics, requiring no more than the ring of algebraic integers. On the other hand, the standard quantization can be approximated by taking 1-dimensional representations of sufficiently large finite groups.
The models considered in this paper are defined on regular graphs with transitive groups of automorphisms (space symmetries). The vertices of the graphs take values in finite sets of local states. The evolution of the models proceeds in discrete time steps. We assume that one-time-step quantum transitions are allowed only within neighborhoods of the graph vertices. Simple illustrations are given. An essential part of our study was carried out with the help of a program in C implementing computer algebra and computational group theory algorithms that we develop now. Bibliography: 4 titles.
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References
A. A. Kirillov, Elements of the Theory of Representations, Springer-Verlag, Berlin-New York (1976).
R. Oeckl, Discrete Gauge Theory (From Lattices to TQPT), Imperial College Press, London (2005).
R. P. Feynman and A. R. Hibbs, Quantum Mechanics and Path Integrals, MGraw-Hill (1965).
J.-P. Serre, Linear Representations of Finite Groups, Springer-Verlag, New York-Heidelberg (1977).
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Published in Zapiski Nauchnykh Seminarov POMI, Vol. 373, 2009, pp. 144–156.
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Kornyak, V.V. Quantization in discrete dynamical systems. J Math Sci 168, 390–397 (2010). https://doi.org/10.1007/s10958-010-9991-0
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DOI: https://doi.org/10.1007/s10958-010-9991-0