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On the approximation of the von Neumann equation in the semiclassical limit. Part II : numerical analysis

Francis Filbet, François Golse

Abstract

This paper is devoted to the numerical analysis of the Hermite spectral method proposed in [14], which provides, in the semiclassical limit, an asymptotic preserving approximation of the von Neumann equation. More precisely, it relies on the use of so-called Weyl's variables to effectively address the stiffness associated to the equation. Then by employing a truncated Hermite expansion of the density operator, we successfully manage this stiffness and provide error estimates by leveraging the propagation of regularity in the exact solution.

On the approximation of the von Neumann equation in the semiclassical limit. Part II : numerical analysis

Abstract

This paper is devoted to the numerical analysis of the Hermite spectral method proposed in [14], which provides, in the semiclassical limit, an asymptotic preserving approximation of the von Neumann equation. More precisely, it relies on the use of so-called Weyl's variables to effectively address the stiffness associated to the equation. Then by employing a truncated Hermite expansion of the density operator, we successfully manage this stiffness and provide error estimates by leveraging the propagation of regularity in the exact solution.

Paper Structure

This paper contains 17 sections, 9 theorems, 188 equations, 1 figure, 1 table.

Key Result

Proposition 1.1

Consider $R^\hbar$ the solution to the von Neumann equation vNvW. Then, we have for each $t\geq 0$,

Figures (1)

  • Figure 5.1: $L^2$ error in log scale.

Theorems & Definitions (15)

  • Proposition 1.1
  • proof
  • Theorem 1.2
  • Theorem 2.1
  • Theorem 2.2
  • Lemma 2.3
  • proof
  • Proposition 3.1
  • proof
  • Proposition 3.2
  • ...and 5 more