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Towards Abel Prize: The Generalized Brownian Motion Manifold's Fisher Information Matrix with Info-Geometric Applications to Energy Works

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dc.contributor.authorMageed I.A.en_US
dc.contributor.authorZhang Q.en_US
dc.contributor.authorAkinci T.C.en_US
dc.contributor.authorYilmaz M.en_US
dc.contributor.authorSidhu M.S.en_US
dc.contributor.authorid57222724202en_US
dc.contributor.authorid58070690400en_US
dc.contributor.authorid16229256000en_US
dc.contributor.authorid55874217200en_US
dc.contributor.authorid56259597000en_US
dc.date.accessioned2023-05-29T09:38:51Z
dc.date.available2023-05-29T09:38:51Z
dc.date.issued2022
dc.descriptionFisher information matrix; Geometry; 'current; Energy; Energy work; Fisher information matrices; Fisher information matrix; Generalized brownian motion; Information geometry; Statistical manifold; Statistical manifolds; Brownian movementen_US
dc.description.abstractThe current paper provides a giant step ahead towards a revolutionary info-geometric unification with Generalized Brownian motion manifold (GBMM). More potentially, a new info-geometric limitation for the rescaling parameter of the GBMM is revealed, which was never known before in physics. Clearly, this emphasizes the potential role of Information geometry (IG) to re- study the dynamics of GBMM rather than other known classical approaches. In principle, the Shared Abel Prize (Noble Prize of Mathematics) 2020 between Furstenberg and Margulis surprised the academic community by their brilliant application of probabilistic techniques and random walks to resolve challenging issues in a variety of mathematical disciplines. This indicates the ultimate significance of the undertaken novel approach in this paper since we IG is employed to start a first ever investigation of Generalized Brownian Motion (GBM) which is the ultimate generalization to random walks. This provides more stunning mathematical insight to a unified contemporary analysis of GBM. This current work both generalizes and supersedes Furstenberg and Margulis. More interestingly, influential applications of Information geometry (IG) and Brownian Motion (BM) to energy works are overviewed. Fundamentally, the current work opens new frontiers to the info-geometry theory of Generalized Brownian Motion (IGBM) as well as the provision of new insights about the potential IG applications to all researchers in the field of energy. � 2022 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/GEC55014.2022.9987239
dc.identifier.epage384
dc.identifier.scopus2-s2.0-85146489938
dc.identifier.spage379
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85146489938&doi=10.1109%2fGEC55014.2022.9987239&partnerID=40&md5=a2ed7d4ee9d88f52da1570576ccd5fcc
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/27031
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleIEEE Global Energy Conference, GEC 2022
dc.titleTowards Abel Prize: The Generalized Brownian Motion Manifold's Fisher Information Matrix with Info-Geometric Applications to Energy Worksen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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