"FUZZY" CALCULUS: THE LINK BETWEEN QUANTUM MECHANICS AND DISCRETE FRACTIONAL OPERATORS

被引:2
|
作者
Nigmatullin, Raoul R. [1 ]
Lino, Paolo [2 ]
Maione, Guido [2 ]
机构
[1] Kazan Natl Res Tech Univ KNRTU KAI, Radioelect & Informat Measurements Tech Dept, 31-7 Karl Marx Str, Kazan 420111, Tatarstan, Russia
[2] Polytech Univ Bari, Dept Elect & Informat Engn, Via E Orabona 4, I-70125 Bari, Italy
关键词
fuzzy calculus; fractional integral; perfect filtering formula; unified Fourier-transformation; generalized Dirichlet formula; STATISTICS; MOMENTS;
D O I
10.1515/fca-2020-0038
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, based on the "fuzzy" calculus covering the continuous range of operations between two couples of arithmetic operations (+,-) and (x,:), a new form of the fractional integral is proposed occupying an intermediate position between the integral and derivative of the first order. This new form of the fractional integral satisfies the C1 criterion according to the Ross classification. The new calculus is tightly related to the continuous values of the continuous spin S = 1 and can generalize the expression for the fractional values of the shifting discrete index. This calculus can be interpreted as the appearance of the hidden states corresponding to un-observable values of S = 1. Many well-known formulas can be generalized and receive a new extended interpretation. In particular, one can factorize any rectangle matrix and receive the "perfect" filtering formula that allows transforming any (deterministic or random) function to another arbitrary function and vice versa. This transformation can find unexpected applications in data transmission, cryptography and calibration of different gadgets and devices. One can also receive the hybrid ("centaur") formula for the Fourier (F-) transformation unifying both expressions for the direct and inverse F-transformations in one mathematical unit. The generalized Dirichlet formula, which is obtained in the frame of the new calculus to allow selecting the desired resonance frequencies, will be useful in discrete signals processing, too. The basic formulas are tested numerically on mimic data.
引用
收藏
页码:764 / 786
页数:23
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