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Splitting algorithms for paraxial and Itô-Schrödinger models of wave propagation in random media

Guillaume Bal, Anjali Nair

TL;DR

This work develops a full discretization and splitting-based framework for simulating wave-beam propagation in random media under the paraxial and Itô-Schrödinger models. It establishes rigorous convergence rates, showing first-order mean-square accuracy in the axial step $\Delta z$ and second-order accuracy in moments for centered splitting, with super-algebraic spatial discretization under smooth inputs. The analysis combines closed-form moment equations for the Itô-Schrödinger model with a Duhamel expansion for the paraxial regime, and is complemented by supplementary material proving convergence in distribution. Numerical experiments corroborate the theoretical rates and demonstrate phase-screen-like behavior and speckle formation, highlighting the method’s robustness even when $\theta \ll \Delta z$. Overall, the paper provides a principled, high-accuracy approach to simulating propagation in random media with practical implications for optical beam modeling in turbulence and related stochastic-wave contexts.

Abstract

This paper introduces a full discretization procedure to solve wave beam propagation in random media modeled by a paraxial wave equation or an Itô-Schrödinger stochastic partial differential equation. This method bears similarities with the phase screen method used routinely to solve such problems. The main axis of propagation is discretized by a centered splitting scheme with step $Δz$ while the transverse variables are treated by a spectral method after appropriate spatial truncation. The originality of our approach is its theoretical validity even when the typical wavelength $θ$ of the propagating signal satisfies $θ\llΔz$. More precisely, we obtain a convergence of order $Δz$ in mean-square sense while the errors on statistical moments are of order $(Δz)^2$ as expected for standard centered splitting schemes. This is a surprising result as splitting schemes typically do not converge when $Δz$ is not the smallest scale of the problem. The analysis is based on equations satisfied by statistical moments in the Itô-Schrödinger case and on integral (Duhamel) expansions for the paraxial model. Several numerical simulations illustrate and confirm the theoretical findings.

Splitting algorithms for paraxial and Itô-Schrödinger models of wave propagation in random media

TL;DR

This work develops a full discretization and splitting-based framework for simulating wave-beam propagation in random media under the paraxial and Itô-Schrödinger models. It establishes rigorous convergence rates, showing first-order mean-square accuracy in the axial step and second-order accuracy in moments for centered splitting, with super-algebraic spatial discretization under smooth inputs. The analysis combines closed-form moment equations for the Itô-Schrödinger model with a Duhamel expansion for the paraxial regime, and is complemented by supplementary material proving convergence in distribution. Numerical experiments corroborate the theoretical rates and demonstrate phase-screen-like behavior and speckle formation, highlighting the method’s robustness even when . Overall, the paper provides a principled, high-accuracy approach to simulating propagation in random media with practical implications for optical beam modeling in turbulence and related stochastic-wave contexts.

Abstract

This paper introduces a full discretization procedure to solve wave beam propagation in random media modeled by a paraxial wave equation or an Itô-Schrödinger stochastic partial differential equation. This method bears similarities with the phase screen method used routinely to solve such problems. The main axis of propagation is discretized by a centered splitting scheme with step while the transverse variables are treated by a spectral method after appropriate spatial truncation. The originality of our approach is its theoretical validity even when the typical wavelength of the propagating signal satisfies . More precisely, we obtain a convergence of order in mean-square sense while the errors on statistical moments are of order as expected for standard centered splitting schemes. This is a surprising result as splitting schemes typically do not converge when is not the smallest scale of the problem. The analysis is based on equations satisfied by statistical moments in the Itô-Schrödinger case and on integral (Duhamel) expansions for the paraxial model. Several numerical simulations illustrate and confirm the theoretical findings.

Paper Structure

This paper contains 30 sections, 14 theorems, 129 equations, 5 figures.

Key Result

Theorem 2.1

We have the following. The above estimates are uniform in $\theta\in(0,1]$. In the last three estimates, the regularity assumptions on $u_0$ and $\hat{C}$ depend on $N$.

Figures (5)

  • Figure 1: Error plots from first order scheme for the paraxial and Itô-Schrödinger models
  • Figure 2: Rate of convergence with the second order splitting scheme under the Itô-Schrödinger model
  • Figure 3: Statistical averages from the first-order simulations for the paraxial approximation and Itô-Schrödinger models. The left and right panels display the real part of wavefield mean value and its intensity, respectively.
  • Figure 4: Plots showing evolution of the beam profile and cross-section of the reference solution at $z=1$ (absolute value) for different $\sigma$. The first panel corresponds to the beam evolution for $\sigma=0.125$ while the second panel plots the absolute value of the signal at $z=Z$. The third and fourth panels correspond to the same plots for $\sigma=1$. The last panel plots the scintillation index at the beam's center.
  • Figure 5: Receiver reading at $z=1$ for increasing $\sigma$.

Theorems & Definitions (27)

  • Remark 1.1
  • Theorem 2.1: Path-wise estimates
  • Theorem 2.2: Moment estimates
  • Remark 2.3
  • Corollary 2.4
  • Remark 2.5
  • Lemma 2.6
  • proof
  • Lemma 3.1
  • proof
  • ...and 17 more