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dc.contributor.authorJhangeer, Adil
dc.contributor.authorAnsari, Ali R.
dc.contributor.authorImran, Mudassar
dc.contributor.authorBeenish
dc.contributor.authorRiaz, Muhammad Bilal
dc.date.accessioned2025-03-10T12:01:36Z
dc.date.available2025-03-10T12:01:36Z
dc.date.issued2024
dc.identifier.citationAIMS Mathematics. 2024, vol. 9, issue 7, p. 18013-18033.cs
dc.identifier.issn2473-6988
dc.identifier.urihttp://hdl.handle.net/10084/155796
dc.description.abstractThis work studies the behavior of electrical signals in resonant tunneling diodes through the application of the Lonngren wave equation. Utilizing the method of Lie symmetries, we have identified optimal systems and found symmetry reductions; we have also found soliton wave solutions by applying the tanh technique. The bifurcation and Galilean transformation are found to determine the model implications and convert the system into a planar dynamical system. In this experiment, the equilibrium state, sensitivity, and chaos are investigated and numerical simulations are conducted to show how the frequency and amplitude of alterations affect the system. Furthermore, local conservation rules are demonstrated in more detail to unveil the whole system of movements.cs
dc.language.isoencs
dc.publisherAIMS Presscs
dc.relation.ispartofseriesAIMS Mathematicscs
dc.relation.urihttps://doi.org/10.3934/math.2024878cs
dc.rights© 2024 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License.cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectLonngren wave equationcs
dc.subjectbifurcation analysiscs
dc.subjectsensitivity analysiscs
dc.subjectLyapunov exponentcs
dc.subjectmultistability analysiscs
dc.subjectLie point symmetrycs
dc.titleLie symmetry analysis, and traveling wave patterns arising the model of transmission linescs
dc.typearticlecs
dc.identifier.doi10.3934/math.2024878
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume9cs
dc.description.issue7cs
dc.description.lastpage18033cs
dc.description.firstpage18013cs
dc.identifier.wos001236880000007


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© 2024 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License.
Except where otherwise noted, this item's license is described as © 2024 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License.