68189

Автор(ы): 

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Доклад

Название: 

Towards an Extension and Normalization of the Random Vector Anisotropy Magnitude

Электронная публикация: 

Да

ISBN/ISSN: 

21941009

DOI: 

10.1007/978-3-030-92604-5_18

Наименование конференции: 

  • 15th International Conference on Dynamical Systems: Theory and Applications (Lodz, 2019)

Наименование источника: 

  • Springer Proceedings in Mathematics and Statistics

Обозначение и номер тома: 

Volume 364

Город: 

  • Lodz

Издательство: 

  • Springer

Год издания: 

2021

Страницы: 

200-208
Аннотация
In the context of the anisotropic control theory (I.G. Vladimirov, A.P. Kurdjukov, A.V. Semyonov, Anisotropy of Signals and the Entropy of Linear Stationary Systems, Doklady Math., 1995, vol. 51, pp. 388–390), vanishing the system α - anisotropic norm corresponds with H -theory, while going the norm to infinity, with H -theory. Meanwhile, this definition considerably involves just the magnitude of α, the mean random vectors sequence anisotropy that characterizes the uncertainty degree. Thus, proper selection of the random vector anisotropy magnitude to determine the system α -anisotropic norm is of importance. Accordingly, the paper presents an approach to constructing a normalization procedure of the anisotropy magnitude as a mapping of the positive semiaxis in the unit interval. Within the context, the main attention is paid to another definition of the random vector anisotropy, which is based on Tsallis divergence of the order ½.

Библиографическая ссылка: 

Чернышев К.Р. Towards an Extension and Normalization of the Random Vector Anisotropy Magnitude / Springer Proceedings in Mathematics and Statistics. Lodz: Springer, 2021. Volume 364. С. 200-208.