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arxiv: 1902.06987 · v1 · pith:7YL4P74Znew · submitted 2019-02-19 · 🧮 math.AP

Randomization improved Strichartz estimates and global well-posedness for supercritical data

classification 🧮 math.AP
keywords dataestimateswaveequationglobalstrichartzsupercriticalwell-posedness
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We introduce a novel data randomisation for the free wave equation which leads to the same range of Strichartz estimates as for radial data, albeit in a non-radial context. We then use these estimates to establish global well-posedness for a wave maps type nonlinear wave equation for certain supercritical data, provided the data are suitably small and randomised.

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