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Low regularity symplectic schemes for stochastic NLS

Jacob Armstrong-Goodall, Yvain Bruned

Abstract

We introduce a class of symplectic resonance based schemes for Schrödinger's equation in dimension one, building on the work in [1] wherein resonance based numerical schemes were developed in the context of dispersive PDE driven by time dependent, or space-time dependent, coloured noise. We work primarily with a cubic nonlinearity, advancing the approach introduced in [15] for deriving symplectic schemes in the deterministic setting. As an example of such a scheme we derive the resonance based midpoint rule for the Stochastic NLS and analyse its convergence properties.

Low regularity symplectic schemes for stochastic NLS

Abstract

We introduce a class of symplectic resonance based schemes for Schrödinger's equation in dimension one, building on the work in [1] wherein resonance based numerical schemes were developed in the context of dispersive PDE driven by time dependent, or space-time dependent, coloured noise. We work primarily with a cubic nonlinearity, advancing the approach introduced in [15] for deriving symplectic schemes in the deterministic setting. As an example of such a scheme we derive the resonance based midpoint rule for the Stochastic NLS and analyse its convergence properties.

Paper Structure

This paper contains 13 sections, 9 theorems, 112 equations.

Key Result

theorem 1

Suppose that $u \in H^r$, $r > 3/2$, and that the real-valued coefficients $b^{\alpha}$, $a^{\tilde{\alpha}}_{\alpha}$ satisfy Then the Runge–Kutta resonance-based schemes (eq:scheme_nlse) preserve the corresponding quadratic first integrals, exactly.

Theorems & Definitions (23)

  • remark 1
  • remark 2
  • theorem 1
  • remark 3
  • Example 1: Stochastic Resonance Based Midpoint Rule
  • theorem 2
  • lemma 1
  • proof
  • proposition 1
  • proposition 2
  • ...and 13 more