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Global well-posedness for generalized fractional Hartree equations with rough initial data in all dimensions

Yufeng Lu

TL;DR

This work addresses global well-posedness for the fractional Hartree equation in all dimensions with rough initial data. The authors develop a real-interpolation–based splitting method, combining an $L^2$-based flow with a linear evolution of a rough component defined via the fractional Schrödinger semigroup $S_m(t)$, to obtain global solutions without small data assumptions for $p$ near $2$. Central contributions include constructing real-interpolation spaces $(L^2,X_{q,r}^{s,m})_{\theta,\infty}$ and the associated evolution framework, proving local and global well-posedness for data in these spaces, and deriving global well-posedness in modulation spaces $M_{p,p'}^{s_p}$ with $s_p=(m-2)(1/2-1/p)$, under subcritical mass conditions and parameter relations. The approach relies on polynomial growth estimates for $S_m(t)$ on modulation spaces and yields a broad, robust mechanism for rough-data well-posedness in fractional dispersive settings.

Abstract

We prove the global existence of the solution for fractional Hartree equations with initial data in certain real interpolation spaces between $L^{2}$ and some kinds of new function spaces defined by fractional Schrödinger semigroup, which could imply the global well-posedness of the equation in modulation spaces $M_{p,p'}^{s_{p}}$ for $p$ close to 2 with no smallness condition on initial data, where $s_{p}=(m-2)(1/2-1/p)$. The proof adapts a splitting method inspired by the work of Hyakuna-Tsutsumi, Chaichenets et al. to the modulation spaces and exploits polynomial growth of the fractional Schrödinger semi-group on modulation spaces $M_{p,p'}$ with loss of regularity $s_{p}$.

Global well-posedness for generalized fractional Hartree equations with rough initial data in all dimensions

TL;DR

This work addresses global well-posedness for the fractional Hartree equation in all dimensions with rough initial data. The authors develop a real-interpolation–based splitting method, combining an -based flow with a linear evolution of a rough component defined via the fractional Schrödinger semigroup , to obtain global solutions without small data assumptions for near . Central contributions include constructing real-interpolation spaces and the associated evolution framework, proving local and global well-posedness for data in these spaces, and deriving global well-posedness in modulation spaces with , under subcritical mass conditions and parameter relations. The approach relies on polynomial growth estimates for on modulation spaces and yields a broad, robust mechanism for rough-data well-posedness in fractional dispersive settings.

Abstract

We prove the global existence of the solution for fractional Hartree equations with initial data in certain real interpolation spaces between and some kinds of new function spaces defined by fractional Schrödinger semigroup, which could imply the global well-posedness of the equation in modulation spaces for close to 2 with no smallness condition on initial data, where . The proof adapts a splitting method inspired by the work of Hyakuna-Tsutsumi, Chaichenets et al. to the modulation spaces and exploits polynomial growth of the fractional Schrödinger semi-group on modulation spaces with loss of regularity .

Paper Structure

This paper contains 4 sections, 7 theorems, 35 equations, 1 figure.

Key Result

Theorem 1.5

Let Then eq-fnlsh is local wellposed in $X_{q,r}^{s,m}+L^{2}$, which means that for any initial data $u_{0}\in X_{q,r}^{s,m}+L^{2}$, there exists $T>0$ and a unique solution $u\in C(I_{T}, X_{q,r}^{s,m}+L^{2}) \cap L_{I_{T}}^{A}L_{x}^{r}$, where $A=q\wedge \gamma_{m}(r)$. Moreover, the data-to-solution

Figures (1)

  • Figure 1: Domain of $\Omega_{\gamma}$

Theorems & Definitions (18)

  • Definition 1.1
  • Definition 1.2: Real interpolation; Chapter 3, Bergh1976Interpolation
  • Definition 1.3
  • Remark 1.4
  • Theorem 1.5: LWP
  • Theorem 1.6: GWP
  • Remark 1.7
  • Remark 1.8
  • Remark 1.9
  • Corollary 1.10
  • ...and 8 more