JOURNAL ARTICLE
A new approach on Einstein equation in super spacetime.
Published In: International Journal of Geometric Methods in Modern Physics, 2023, v. 20, n. 3. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Gholami, F.; Darabi, F.; Mohammadi, M.; Varsaie, S.; Roshandel, M. 3 of 3
Abstract
In this paper, we introduce a new kind of super warped product spaces M ̄ (I) = I 1 | 0 × f M m | n , M ̄ (I I) = I 0 | 1 × f M m | n , and M ̄ (I I I) = I 1 | 1 × f M m | n , where M m | n is a supermanifold of dimension m | n , I δ | δ ′ is a superdomain with I = (0 , 1) and δ , δ ′ ∈ { 0 , 1 } , subject to the warp functions f (t) , f (t ̄) , and f (t , t ̄) , respectively. In each super warped product space, M ̄ (I) , M ̄ (I I) , and M ̄ (I I I) , it is shown that Einstein equations Ḡ A B = − Λ ̄ ḡ A B , with cosmological term Λ ̄ are reducible to the Einstein equations G α β = − Λ g α β on the super space M m | n with cosmological term Λ , where Λ ̄ and Λ are functions of f(t), f (t ̄) , and f (t , t ̄) , as well as (m, n). This dependence points to the origin of cosmological terms which turn out to be within the warped structure of the super spacetime. By using the generalized Robertson–Walker spacetime, as a super spacetime, and demanding for constancy of Λ ̄ , we can determine the warp functions and Λ which result in finding the solutions for Einstein equations Ḡ A B = − Λ ̄ ḡ A B and G α β = − Λ g α β . We have discussed the cosmological solutions, for each kind of super warped product space, in the special case of M 3 | 0 . [ABSTRACT FROM AUTHOR]
Additional Information
- Source:International Journal of Geometric Methods in Modern Physics. 2023/03, Vol. 20, Issue 3, p1
- Document Type:Article
- Subject Area:Engineering
- Publication Date:2023
- ISSN:0219-8878
- DOI:10.1142/S0219887823500457
- Accession Number:161966954
- Copyright Statement:Copyright of International Journal of Geometric Methods in Modern Physics is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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