dorsal/arxiv
View SchemaDiscretization of the Mikhailov model
| Authors | Song-lin Zhao, Xiao-gang Mu, Da-jun Zhang |
|---|---|
| Categories | |
| ArXiv ID | 2601.09206vv1 |
| URL | https://arxiv.org/abs/2601.09206 |
| License | http://creativecommons.org/licenses/by/4.0/ |
Abstract
In this paper the Mikhailov model is discretized by means of the Cauchy matrix approach. A pair of discrete Miura transformations are constructed. The discrete Mikhailov model is a coupled system, in which one equation comes from the compatibility of the two Miura transformations, the other is transformed from the discrete negative order Ablowitz-Kaup-Newell-Segur system by using the Miura transformations. Explicit solutions, including solitons and multiple-pole solutions, are presented via two Cauchy matrix schemes respectively, namely, the Ablowitz-Kaup-Newell-Segur type and the Kadomtsev-Petviashvili type. By straight continuum limits, semi-discrete and continuous Mikhailov models together with their Cauchy matrix structures and solutions are recovered.
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"abstract": "In this paper the Mikhailov model is discretized by means of the Cauchy matrix approach. A pair of discrete Miura transformations are constructed. The discrete Mikhailov model is a coupled system, in which one equation comes from the compatibility of the two Miura transformations, the other is transformed from the discrete negative order Ablowitz-Kaup-Newell-Segur system by using the Miura transformations. Explicit solutions, including solitons and multiple-pole solutions, are presented via two Cauchy matrix schemes respectively, namely, the Ablowitz-Kaup-Newell-Segur type and the Kadomtsev-Petviashvili type. By straight continuum limits, semi-discrete and continuous Mikhailov models together with their Cauchy matrix structures and solutions are recovered.",
"arxiv_id": "2601.09206",
"authors": [
"Song-lin Zhao",
"Xiao-gang Mu",
"Da-jun Zhang"
],
"categories": [
"nlin.SI"
],
"license": "http://creativecommons.org/licenses/by/4.0/",
"title": "Discretization of the Mikhailov model",
"url": "https://arxiv.org/abs/2601.09206",
"version": "v1"
},
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