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Low regularity well-posedness for KP-I equations: the dispersion-generalized case

Akansha Sanwal, Robert Schippa

TL;DR

This work analyzes the dispersion_generalized KP_I equation in two dimensions, $\partial_t u - D_x^{\alpha}\partial_x u - \partial_x^{-1}\partial_y^2 u = u\partial_x u$, for $2<\alpha<4$, focusing on low_regular_ity well_posedness and the interplay of resonance with dispersion. It develops a cohesive framework combining resonance/transversality analysis, linear Strichartz estimates, and nonlinear Loomis_Whitney inequalities with short_time Fourier restriction spaces to manage derivative losses in the nonlinearity. The authors establish $C^2$ ill_posedness for small dispersion ($\alpha<7/3$), quasilinear local well_posedness in $H^{s,0}$ for $s>5-2\alpha$ (2<\alpha\le 5/2), and semilinear local well_posedness for $\alpha>5/2$ in $H^{s,0}$ with $s>5/4-\alpha/2$, alongside global results in $L^2$ for strong dispersion and persistence. The results bridge known KP_I theory with higher_order KP_I regimes, clarify when Picard iteration fails, and provide robust tools (transversality, LoomisWhitney, short_time spaces) for analyzing dispersive PDEs with resonant nonlinearities.

Abstract

We prove new well-posedness results for dispersion-generalized Kadomtsev--Petviashvili I equations in $\mathbb{R}^2$, which family links the classical KP-I equation with the fifth order KP-I equation. For strong enough dispersion, we show global well-posedness in $L^2(\mathbb{R}^2)$. To this end, we combine resonance and transversality considerations with Strichartz estimates and a nonlinear Loomis--Whitney inequality. Moreover, we prove that for small dispersion, the equations cannot be solved via Picard iteration. In this case, we use an additional frequency dependent time localization.

Low regularity well-posedness for KP-I equations: the dispersion-generalized case

TL;DR

This work analyzes the dispersion_generalized KP_I equation in two dimensions, , for , focusing on low_regular_ity well_posedness and the interplay of resonance with dispersion. It develops a cohesive framework combining resonance/transversality analysis, linear Strichartz estimates, and nonlinear Loomis_Whitney inequalities with short_time Fourier restriction spaces to manage derivative losses in the nonlinearity. The authors establish ill_posedness for small dispersion (), quasilinear local well_posedness in for (2<\alpha\le 5/2), and semilinear local well_posedness for in with , alongside global results in for strong dispersion and persistence. The results bridge known KP_I theory with higher_order KP_I regimes, clarify when Picard iteration fails, and provide robust tools (transversality, LoomisWhitney, short_time spaces) for analyzing dispersive PDEs with resonant nonlinearities.

Abstract

We prove new well-posedness results for dispersion-generalized Kadomtsev--Petviashvili I equations in , which family links the classical KP-I equation with the fifth order KP-I equation. For strong enough dispersion, we show global well-posedness in . To this end, we combine resonance and transversality considerations with Strichartz estimates and a nonlinear Loomis--Whitney inequality. Moreover, we prove that for small dispersion, the equations cannot be solved via Picard iteration. In this case, we use an additional frequency dependent time localization.
Paper Structure (21 sections, 29 theorems, 251 equations)

This paper contains 21 sections, 29 theorems, 251 equations.

Key Result

Theorem 1.1

Let $2<\alpha\leqslant \frac{5}{2}$. Then, eq:fKPI is locally well-posed in $H^{s,0}(\mathbb{R}^2)$ for $s>5-2\alpha$ and real-valued initial data.

Theorems & Definitions (50)

  • Theorem 1.1
  • Theorem 1.2
  • Theorem 1.3
  • Corollary 1.4
  • Lemma 2.1: cf. IKT
  • Lemma 2.2: cf. IKT
  • Theorem 2.3: Linear Strichartz estimate, cf. Hadac
  • Lemma 2.4: Strichartz estimates for low frequencies
  • proof
  • Corollary 2.5
  • ...and 40 more