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arXiv 0907.2783nlin.SI
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一种新的扩展离散KP族和广义Dressing方法

A new extended discrete KP hierarchy and generalized dressing method

Yuqin Yao, Xiaojun Liu, Yunbo Zeng

摘要:

受平方本征函数对称约束的启发,通过对离散KP族(DKPH)的一个特定的$t_n$-流进行“扩展”,引入了一个新的$\ta_k$ -流.我们构造了扩展离散KPH(exDKPH),它由$t_n$ -流、$\ta_k$ -流、本征函数和伴随本征函数的$t_n$演化组成,并构造了它的Lax表示. exDKPH包含两种类型的离散KP方程与自洽源(DKPESCS)。得到了exDKPH的两个约化。提出了求解exDKPH的广义Dressing方法,并给出了两类DKPESCS的N孤子解。

英文摘要:

Inspired by the squared eigenfunction symmetry constraint, we introduce a new $\ta_k$-flow by ``extending'' a specific $t_n$-flow of discrete KP hierarchy (DKPH). We construct extended discrete KPH (exDKPH), which consists of $t_n$-flow, $\ta_k$-flow and $t_n$ evolution of eigenfunction and adjoin eigenfunctions, and its Lax representation. The exDKPH contains two types of discrete KP equation with self-consistent sources (DKPESCS). Two reductions of exDKPH are obtained. The generalized dressing approach for solving the exDKPH is proposed and the N-soliton solutions of two types of the DKPESCS are presented.

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