2021
DOI: 10.3390/math9040319
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Sequences of Groups, Hypergroups and Automata of Linear Ordinary Differential Operators

Abstract: The main objective of our paper is to focus on the study of sequences (finite or countable) of groups and hypergroups of linear differential operators of decreasing orders. By using a suitable ordering or preordering of groups linear differential operators we construct hypercompositional structures of linear differential operators. Moreover, we construct actions of groups of differential operators on rings of polynomials of one real variable including diagrams of actions–considered as special automata. Finally… Show more

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Cited by 5 publications
(7 citation statements)
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“…In accordance with our previous papers [1,[7][8][9], we regard the above mentioned artificial neurons such that inputs x i and weights w i will be functions of argument t belonging into a linearly ordered (tempus) set T with the least element 0. As the index set we use the interval of real numbers [1, ∞) = {x ∈ R; 1 ≤ x}, where R denotes the set of all real numbers.…”
Section: Differential Neurons and Their Output Functionsmentioning
confidence: 98%
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“…In accordance with our previous papers [1,[7][8][9], we regard the above mentioned artificial neurons such that inputs x i and weights w i will be functions of argument t belonging into a linearly ordered (tempus) set T with the least element 0. As the index set we use the interval of real numbers [1, ∞) = {x ∈ R; 1 ≤ x}, where R denotes the set of all real numbers.…”
Section: Differential Neurons and Their Output Functionsmentioning
confidence: 98%
“…It is to be noted, that the used concept of investigated neurons is in a certain sense motivated by ordinary differential operators forming of left-hand sides of corresponding differential equations, see, e.g., [13,14].…”
Section: Products and Powers Of Differential Neuronsmentioning
confidence: 99%
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“…There followed more papers by the same author and Ch. Massouros, e.g., [13][14][15][16][17][18][19][20][21], as well as other researchers such as J. Chvalina [22][23][24][25][26][27][28], L. Chvalinová [22], Š. Hošková-Mayerová [24,25], M. Novák [26][27][28][29][30][31][32], S. Křehlík [26,27,[29][30][31]33], M.M. Zahedi [34], M. Ghorani [34,35], D. Heidari and S. Doostali [36], R.A. Borzooei et al [37].…”
Section: Introductionmentioning
confidence: 99%