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Smoothness of Extremizers of a Convolution Inequality

Classical Analysis and ODEs 2010-12-30 v1 Analysis of PDEs

Abstract

Let d2d\ge 2 and TT be the convolution operator Tf(x)=Rd1f(xt,xdt2)dtTf(x)=\int_{\reals^{d-1}} f(x'-t,x_d-|t|^2)\,dt, which is is bounded from L(d+1)/d(Rd)L^{(d+1)/d}(\reals^d) to Ld+1(Rd)L^{d+1}(\reals^d). We show that any critical point fL(d+1)/df\in L^{(d+1)/d} of the functional \normTfd+1/\normf(d+1)/d\norm{Tf}_{d+1}/\norm{f}_{(d+1)/d} is infinitely differentiable, and that xδfL(d+1)/d|x|^\delta f\in L^{(d+1)/d} for some δ>0\delta>0. In particular, this holds for all extremizers of the associated inequality. This is done by exploiting a generalized Euler-Lagrange equation, and certain weighted norm inequalities for TT.

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Cite

@article{arxiv.1012.5458,
  title  = {Smoothness of Extremizers of a Convolution Inequality},
  author = {Michael Christ and Qingying Xue},
  journal= {arXiv preprint arXiv:1012.5458},
  year   = {2010}
}

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25 pages