2020
DOI: 10.1080/16583655.2020.1774137
|View full text |Cite
|
Sign up to set email alerts
|

Geometric phase for timelike spherical normal magnetic charged particles optical ferromagnetic model

Abstract: We introduce the theory of optical spherical Heisenberg ferromagnetic spin of timelike spherical normal magnetic flows of particles by the spherical frame in de Sitter space. Also, the concept of timelike spherical normal magnetic particles is investigated, which may have evolution equations. Afterward, we reveal new relationships with some integrability conditions for timelike spherical normal magnetic flows in de-Sitter space. In addition, we obtain total phases for spherical normal magnetic flows. We also a… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
5
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 17 publications
(6 citation statements)
references
References 30 publications
1
5
0
Order By: Relevance
“…We have introduced here a new equation (Definition 3) which defines uniform quasi acceleration in a Heisenberg spacetime. This improves the results of previous works, 33–39 which handle only optical motion. In Section 3, we have the UQCM of moving charged velocity magnetic biharmonic particle in Heisenberg space background.…”
Section: Discussionsupporting
confidence: 80%
“…We have introduced here a new equation (Definition 3) which defines uniform quasi acceleration in a Heisenberg spacetime. This improves the results of previous works, 33–39 which handle only optical motion. In Section 3, we have the UQCM of moving charged velocity magnetic biharmonic particle in Heisenberg space background.…”
Section: Discussionsupporting
confidence: 80%
“…Similarly, when α � 0.7 and β � 0.5, the value of RMSE is the smallest, which means that the recommendation accuracy in the proposed algorithm is the highest. For verifying the performance of MDRS2 algorithm and the impact of various social relationships on the recommendation, we compared MDRS2 algorithm with SocRec algorithm [14], TDSRec algorithm [17], and MDRS1 algorithm on the Epinions dataset. e SocRec algorithm considers the attributes of social relationships between users on the basis of matrix factorization and incorporates a social relationship; the TDSRec algorithm combines the similarity based on user ratings preferences while considering social networks and predicts the values of customer scoring matrix together.…”
Section: Resultsmentioning
confidence: 99%
“…Lin et al [13] used the principle of trust generation in social psychology, based on the trust extension method of user credibility, to alleviate the sparseness of data, and proposed a matrix recommendation algorithm with enhanced trust. Korpinar et al [14] based on the shared representation method of user feature matrix, proposed a novel social recommendation model based on shared representation of user feature matrix, which effectively improved the accuracy of recommendation.…”
Section: Introductionmentioning
confidence: 99%
“…There is no conformity for how and when they appear, the maximum height of the rogue wave recorded 25 meters (Olagnon 2017 ; Korpinar et al. 2020 ; Ali et al. 2020 ).…”
Section: Introductionmentioning
confidence: 99%