The Cauchy problem for the generalized KdV equation in the Sobolev space Hs(R)
Abstract
In this paper, we are concerned with the Cauchy problem for the generalized KdV equation with random data and rough data. Firstly, when s∈R, by using the initial value randomization technique introduced by Shen et al. (arXiv:2111.11935) and the construction of appropriate auxiliary spaces, we establish the almost sure local well-posedness of the generalized KdV equation in Hs(R), which improves Theorem 1.3 of Hwang and Kwak (Proc. Amer. Math. Soc. 146(2018), 267-280.) and Theorem 1.5 of Yan et al.(arXiv:2011.07128.). Secondly, by using the well-posedness results proved in Theorem 1.1, for f∈ Hs(R),\, s∈R, we obtain eqnarray* &&P(\ω:t→0\|u(t,x)-U(t)fω(x)\|Lx∞=0\)=1, eqnarray* which improves Theorem 1.6 of Yan et al.(arXiv:2011.07128.). Thirdly, by using the dyadic decomposition and constructing appropriate function spaces, we establish nonlinear smoothing for the generalized KdV equation with rough data. Furthermore, by using this estimate, when data f∈ Hs(R)L∞(R),\, s>12-2k+1,\, k≥4, we obtain eqnarray* &&|x|→ ∞u(t,x)=0, t∈[0, T]. eqnarray* In particular, for f(x)∈ Hs(R),\,s>12-2k+1,\,k≥4, we prove eqnarray* &&|x|→ ∞(u(t,x)-U(t)f(x))=0. eqnarray* Finally, by using Theorem 1.1, when f∈ Hs(R),\, s∈R, we obtain eqnarray* &&P(\ω: ∀ t∈ Iω, |x|→ ∞(u(t,x)-U(t)fω(x))=0\)=1. eqnarray*
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