Improved uniform error bounds of the time-splitting methods for the long-time (nonlinear) Schrödinger equation

preprint2022arXivOpen access

Abstract

We establish improved uniform error bounds for the time-splitting methods for the long-time dynamics of the Schrödinger equation with small potential and the nonlinear Schrödinger equation (NLSE) with weak nonlinearity. For the Schrödinger equation with small potential characterized by a dimensionless parameter ε∈(0,1]\varepsilon \in (0, 1] representing the amplitude of the potential, we employ the unitary flow property of the (second-order) time-splitting Fourier pseudospectral (TSFP) method in L2L^2-norm to prove a uniform error bound at C(T)(hm+τ2)C(T)(h^m +τ^2) up to the long time Tε=T/εT_\varepsilon= T/\varepsilon for any T>0T>0 and uniformly for 0<ε≤10<\varepsilon\le1, while hh is the mesh size, ττ is the time step, m≥2m \ge 2 depends on the regularity of the exact solution, and C(T)=C0+C1TC(T) =C_0+C_1T grows at most linearly with respect to TT with C0C_0 and C1C_1 two positive constants independent of TT, ε\varepsilon, hh and ττ. Then by introducing a new technique of {\sl regularity compensation oscillation} (RCO) in which the high frequency modes are controlled by regularity and the low frequency modes are analyzed by phase cancellation and energy method, an improved uniform error bound at O(hm−1+ετ2)O(h^{m-1} + \varepsilon τ^2) is established in H1H^1-norm for the long-time dynamics up to the time at O(1/ε)O(1/\varepsilon) of the Schrödinger equation with O(ε)O(\varepsilon)-potential with m≥3m \geq 3, which is uniformly for ε∈(0,1]\varepsilon\in(0,1]. Moreover, the RCO technique is extended to prove an improved uniform error bound at O(hm−1+ε2τ2)O(h^{m-1} + \varepsilon^2τ^2) in H1H^1-norm for the long-time dynamics up to the time at O(1/ε2)O(1/\varepsilon^2) of the cubic NLSE with O(ε2)O(\varepsilon^2)-nonlinearity strength, uniformly for ε∈(0,1]\varepsilon \in (0, 1]. Extensions to the first-order and fourth-order time-splitting methods are discussed.

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