Abstract:
We establish a relation between bijective functions and renormalization group transformations and find their renormalization group invariants. For these functions, taking into account that they are globally one-to-one, we propose several improved approximations (compared with the power series expansion) based on this relation. We propose using the obtained approximations to improve the subsequent approximations of physical quantities obtained, in particular, by one of the main calculation techniques in theoretical physics, i.e., by perturbation theory. We illustrate the effectiveness of the renormalization group approximation with several examples: renormalization group approximations of several analytic functions and calculation of the nonharmonic oscillator ground-state energy. We also generalize our approach to the case of set maps, both continuous and discrete.
Citation:
G. N. Nikolaev, “Renormalization group approach to function approximation and to improving subsequent approximations”, TMF, 164:2 (2010), 243–261; Theoret. and Math. Phys., 164:2 (2010), 1035–1050
\Bibitem{Nik10}
\by G.~N.~Nikolaev
\paper Renormalization group approach to function approximation and to improving subsequent approximations
\jour TMF
\yr 2010
\vol 164
\issue 2
\pages 243--261
\mathnet{http://mi.mathnet.ru/tmf6537}
\crossref{https://doi.org/10.4213/tmf6537}
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\transl
\jour Theoret. and Math. Phys.
\yr 2010
\vol 164
\issue 2
\pages 1035--1050
\crossref{https://doi.org/10.1007/s11232-010-0083-6}
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Linking options:
https://www.mathnet.ru/eng/tmf6537
https://doi.org/10.4213/tmf6537
https://www.mathnet.ru/eng/tmf/v164/i2/p243
This publication is cited in the following 3 articles:
Wang G., Shen Ch., Wang Ya., “Approximation of Fuzzy Numbers By Using Multi-Knots Piecewise Linear Fuzzy Numbers”, J. Intell. Fuzzy Syst., 39:3 (2020), 3597–3615
Chenjie Shen, Guixiang Wang, Yifeng Xu, Advances in Intelligent Systems and Computing, 1074, Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery, 2020, 686
Wang G., Li J., “Approximations of fuzzy numbers by step type fuzzy numbers”, Fuzzy Sets Syst., 310 (2017), 47–59