Subscribe to the gold package and get unlimited access to Shamra Academy
Register a new userGeodesic mappings gravitation fields
التطبيقات الجيوديزية لحقول الجاذبية
875
0 5
0
(
0
)
Added by
Aِl-Baath University ورقة بحثية
Publication date
2016
fields
Physics
and research's language is
العربية
Authors
سامي الحسين( باحث )
Created by
Shamra Editor
Ask ChatGPT about the research
في هذا البحث ندرس التطبيقات الجيوديزية لحقول الجاذبية إن التطبيقات المذكورة تعتبر من جهة أولى تعميما لأفتومورفيزم الحركة و التطبيقات التوافقية و من جهة ثانية التطبيقات العملية في نظرية النسبية.
In this research paper, we study geodesic mappings of gravitation fields . The mapping listed are considered, on the one hand, a generalization of aftomorfizm of movement and harmonic mappings, and on the other hand the practical mappings in the theory of relativity .
References used
(Sinyukov, N. S. geodesic mappings of Riemannian spaces. Moscow, Nauka, 256P.(1979
Yano K. Concircular geometry. I-IV Proc. Imp. Acad. Tokyo, 1940
Fialkov A. Conformal geodesics, Trans. Amer. Math. Soc. ,1939
rate research
Read More
In this paper devined parablically Sasakei space, and
found necessary and sufficient conditions in order to exist
geodesic mapping between tow Sasakei spaces , and broved
that necessary and sufficien conditions to exist geodesic
mapping between t
ow Sasakie spaces with equivalent affinors
are equidistant .
A finally fond that is , if exist geodesic mappings between
tow constant corvator parablically Sasakei spaces to there
Rich tensors are proportional.
This thesis discusses the Geodesic Mapping in Riemannian Spaces, Which is prepared to get the Master's degree in Mathematics- Mathematical analysis .
In this paper we study conformal mappings between
special Parabolically Kahlerian Spaces (commutative spaces).
A proved , if exist conformal mapping between commutative
Kahlerin spaces ,then the mapping is Homothetic
mapping,
Recent state-of-the-art approaches in open-domain dialogue include training end-to-end deep-learning models to learn various conversational features like emotional content of response, symbolic transitions of dialogue contexts in a knowledge graph an
d persona of the agent and the user, among others. While neural models have shown reasonable results, modelling the cognitive processes that humans use when conversing with each other may improve the agent's quality of responses. A key element of natural conversation is to tailor one's response such that it accounts for concepts that the speaker and listener may or may not know and the contextual relevance of all prior concepts used in conversation. We show that a rich representation and explicit modeling of these psychological processes can improve predictions made by existing neural network models. In this work, we propose a novel probabilistic approach using Markov Random Fields (MRF) to augment existing deep-learning methods for improved next utterance prediction. Using human and automatic evaluations, we show that our augmentation approach significantly improves the performance of existing state-of-the-art retrieval models for open-domain conversational agents.
We find the geodesics in spacetime of charged black hole in
context of rainbow gravity and then we compare them with ones in
classical general relativity. It is known that the particles in
spacetime of black hole move on geodesics which we can fin
d by
writing the equations of motion. Present studies aim to discover
approaches to classical general relativity for solving the
singularities problem, the points where law of physics destroy at
and then the mathematical equations become incorrect because they
are points whose curvature is infinity. We find in our work that the
rainbow gravity, its own, does not change the geodesic structure of
charged black hole and so neither ingoing nor outgoing particle
trajectory will change.
suggested questions
Log in to be able to interact and post comments
comments
Fetching comments
Sign in to be able to follow your search criteria
