Notes on Curves at a Constant Distance from the Edge of Regression on a Curve in Galilean 3-Space G3

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Özet

In this paper, we define the curve rλ= r + λd at a constant distance from the edge of regression on a curve r(s) with arc length parameter s in Galilean 3-space. Here, d is a non-isotropic or isotropic vector defined as a vector tightly fastened to Frenet trihedron of the curve r(s) in 3-dimensional Galilean space. We build the Frenet frame {Tλ,Nλ,Bλ} of the constructed curve rλwith respect to two types of the vector d and we indicate the properties related to the curvatures of the curve rλ. Also, for the curve rλ, we give the conditions to be a circular helix. Furthermore, we discuss ruled surfaces of type A generated via the curve rλand the vector D which is defined as tangent of the curve rλin 3-dimensional Galilean space. The constructed ruled surfaces also appear in two ways. The first is constructed with the curve rλ(s) = r(s)+λT(s) and the non-isotropic vector D. The second is formedby the curve rλ= r(s) + λ2N + λ3B and the non-isotropic vector D. We calculate the distribution parameters of the constructed ruled surfaces and we show that the ruled surfaces are developable. Finally, we provide examples and visuals to back up our research. © 2023 Tech Science Press. All rights reserved.

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RDL Kalıcı Bağlantı (PID)
https://rdlopen.rawdatalibrary.net/r/ebyu/12219Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.32604/cmes.2023.024517Yayıncı resmi DOI adresi
Tam Kayıt
AlanDeğerDil
dc.contributor.authorÇakmak, Ali
dc.contributor.authorKiziltuǧ, Sezai
dc.contributor.authorMumcu, Gökhan
dc.date.accessioned2026-10-18T20:27:08.776891996Z
dc.date.available2026-10-18T20:27:08.776891996Z
dc.date.issued2023
dc.description.abstractIn this paper, we define the curve rλ= r + λd at a constant distance from the edge of regression on a curve r(s) with arc length parameter s in Galilean 3-space. Here, d is a non-isotropic or isotropic vector defined as a vector tightly fastened to Frenet trihedron of the curve r(s) in 3-dimensional Galilean space. We build the Frenet frame {Tλ,Nλ,Bλ} of the constructed curve rλwith respect to two types of the vector d and we indicate the properties related to the curvatures of the curve rλ. Also, for the curve rλ, we give the conditions to be a circular helix. Furthermore, we discuss ruled surfaces of type A generated via the curve rλand the vector D which is defined as tangent of the curve rλin 3-dimensional Galilean space. The constructed ruled surfaces also appear in two ways. The first is constructed with the curve rλ(s) = r(s)+λT(s) and the non-isotropic vector D. The second is formedby the curve rλ= r(s) + λ2N + λ3B and the non-isotropic vector D. We calculate the distribution parameters of the constructed ruled surfaces and we show that the ruled surfaces are developable. Finally, we provide examples and visuals to back up our research. © 2023 Tech Science Press. All rights reserved.
dc.identifier.doi10.32604/cmes.2023.024517
dc.identifier.eissn1526-1506
dc.identifier.endpage2742
dc.identifier.issn1526-1492
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85143198745
dc.identifier.startpage2731
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/12219
dc.identifier.volume135
dc.identifier.wosWOS:000900812000013
dc.language.isoen
dc.publisherTech Science Press
dc.relation.ispartofCMES - Computer Modeling in Engineering and Sciences
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectcurvature
dc.subjectEdge of regression
dc.subjectGalilean space
dc.subjecthelix
dc.subjectruled surface
dc.subjectRegression analysis
dc.subjectVector spaces
dc.subject3-dimensional
dc.subjectArc length
dc.subjectFrenet frame
dc.subjectIsotropic vectors
dc.subjectIsotropics
dc.subjectRuled surfaces
dc.subjectVectors
dc.titleNotes on Curves at a Constant Distance from the Edge of Regression on a Curve in Galilean 3-Space G3
dc.typeArticle
dspace.entity.typePublication
rdl.citation.scopus1
rdl.citation.wos2
rdl.oa.statusgold
rdl.source.indexSCOPUS
rdl.source.indexWOS
rdl.wos.indexScience Citation Index Expanded (SCI-EXPANDED)