Math 2.0

Partial differential equations Theorem

Dispersive estimate for the Schrödinger equation

Builds on Schrödinger equationDispersive partial differential equationFourier transformLp space

Statement

Let n≥1n \ge 1. For f∈L2(ℝn)f \in L^2(\R^n) and t∈ℝt \in \R, let eitΔfe^{it\Delta} f be the solution at time tt of the free Schrödinger equation i∂tu+Δu=0i \partial_t u + \Delta u = 0 with u(0)=fu(0) = f. It is defined by the Fourier transform f^(ξ)=∫ℝnf(x)e−ix⋅ξ dx\hat f(\xi) = \int_{\R^n} f(x) e^{-i x \cdot \xi} \, dx as eitΔf^(ξ)=e−it∣ξ∣2f^(ξ)\widehat{e^{it\Delta} f}(\xi) = e^{-it\abs{\xi}^2} \hat f(\xi). Then for all f∈L1(ℝn)∩L2(ℝn)f \in L^1(\R^n) \cap L^2(\R^n) and all t≠0t \ne 0, ∥eitΔf∥L∞(ℝn)≤(4π∣t∣)−n/2∥f∥L1(ℝn).\norm{e^{it\Delta} f}_{L^\infty(\R^n)} \le (4\pi \abs{t})^{-n/2} \norm{f}_{L^1(\R^n)}.

Remarks

For t≠0t \ne 0 the solution operator has an explicit kernel: eitΔf(x)=(4πit)−n/2∫ℝnei∣x−y∣2/(4t)f(y) dy,e^{it\Delta} f(x) = (4\pi i t)^{-n/2} \int_{\R^n} e^{i \abs{x - y}^2 / (4t)} f(y) \, dy, with the principal branch of the square root. The kernel has modulus (4π∣t∣)−n/2(4\pi\abs{t})^{-n/2} at every point, and the estimate follows at once. The formula for the kernel comes from the Fourier transform of the complex Gaussian e−it∣ξ∣2e^{-it\abs{\xi}^2}, or from the heat kernel by replacing tt by itit.

The solution also conserves the L2L^2 norm: ∥eitΔf∥L2=∥f∥L2\norm{e^{it\Delta} f}_{L^2} = \norm{f}_{L^2}, by Plancherel's theorem. Interpolation between this and the dispersive estimate with the Riesz–Thorin theorem gives, for 2≤r≤∞2 \le r \le \infty and 1/r+1/r′=11/r + 1/r' = 1, ∥eitΔf∥Lr≤(4π∣t∣)−n(1/2−1/r)∥f∥Lr′.\norm{e^{it\Delta} f}_{L^r} \le (4\pi\abs{t})^{-n(1/2 - 1/r)} \norm{f}_{L^{r'}}.

The decay rate ∣t∣−n/2\abs{t}^{-n/2} cannot be improved. For the Gaussian f(x)=e−∣x∣2f(x) = e^{-\abs{x}^2} one computes ∣eitΔf(0)∣=(1+16t2)−n/4\abs{e^{it\Delta} f(0)} = (1 + 16 t^2)^{-n/4}, which is of exact order ∣t∣−n/2\abs{t}^{-n/2} for large ∣t∣\abs{t}. The L1L^1 norm on the right cannot be replaced by the L2L^2 norm. For fixed tt, the operator eitΔe^{it\Delta} maps L2(ℝn)L^2(\R^n) onto L2(ℝn)L^2(\R^n), which contains unbounded functions, so no bound of ∥eitΔf∥L∞\norm{e^{it\Delta} f}_{L^\infty} by a multiple of ∥f∥L2\norm{f}_{L^2} holds.

Going deeper

For a student

The dispersive estimate is the pointwise decay input for the Strichartz estimates. Combined with the TT∗TT^* argument and the Hardy–Littlewood–Sobolev inequality, it gives space-time integrability of eitΔfe^{it\Delta} f for L2L^2 data. These bounds are the basic tool of the local and global well-posedness theory of nonlinear Schrödinger equations. The same pattern applies to other dispersive equations such as the wave and Airy equations, with different decay rates. One proves a pointwise decay bound from an oscillatory kernel and interpolates it with energy conservation.

Reading path

To understand this page from the ground up, read these 5 pages in order. The foundations come first.

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  1. Dispersive partial differential equation concept
  2. Fourier transform concept
  3. Lp space concept
  4. Schrödinger equation concept
  5. Dispersive estimate for the Schrödinger equation statement

Further reading

  1. Web https://en.wikipedia.org/wiki/Strichartz_estimate
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MSC35Q41, 35B45, 42B37
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AboutSchrödinger equation
UsesSchrödinger equation, Dispersive partial differential equation, Fourier transform, Lp space

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