Abstract

We express a matrix version of the self-induced transparency (SIT) equations in the bidifferential calculus framework. An infinite family of exact solutions is then obtained by application of a general result that generates exact solutions from solutions of a linear system of arbitrary matrix size. A side result is a solution formula for the sine-Gordon equation.

Highlights

  • The bidifferential calculus approach aims to extract the essence of integrability aspects of integrable partial differential or difference equations (PDDEs) and to express them, and relations between them, in a universal way, i.e. resolved from specific examples

  • Exchanging d and dleads to what is known in the literature as ‘negative flows’ [3]

  • Via the Miura transformation (18), Proposition 2 determines a family of sine-Gordon solutions

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Summary

Introduction

The bidifferential calculus approach (see [1] and the references therein) aims to extract the essence of integrability aspects of integrable partial differential or difference equations (PDDEs) and to express them, and relations between them, in a universal way, i.e. resolved from specific examples. A powerful, though simple to prove, result [1, 2, 3] (see section 6) generates families of exact solutions from a matrix linear system. In the following we briefly recall the basic framework and apply the latter result to a matrix generalization of the SIT equations

Bidifferential calculus
Dressing a bidifferential calculus
A matrix generalization of SIT equations and its Miura-dual
Sharp line SIT equations and sine-Gordon
A universal method of generating solutions from a matrix linear system
Solutions of the matrix SIT equations
Rank one solutions
10 A family of solutions of the real sine-Gordon equation

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