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Riemann problem : ウィキペディア英語版
Riemann problem
A Riemann problem, named after Bernhard Riemann, consists of an initial value problem composed of a conservation equation together with piecewise constant data having a single discontinuity. The Riemann problem is very useful for the understanding of equations like Euler conservation equations because all properties, such as shocks and rarefaction waves, appear as characteristics in the solution. It also gives an exact solution to some complex nonlinear equations, such as the Euler equations.
In numerical analysis, Riemann problems appear in a natural way in finite volume methods for the solution of conservation law equations due to the discreteness of the grid. For that it is widely used in computational fluid dynamics and in MHD simulations. In these fields Riemann problems are calculated using Riemann solvers.
==The Riemann problem in linearized gas dynamics==
As a simple example, we investigate the properties of the one dimensional Riemann problem
in gas dynamics, which initial condition is defined by
:
\begin \rho \\ u \end = \begin \rho_L \\ u_L\end \text x \leq 0
\qquad \text \qquad \begin \rho \\ u \end = \begin \rho_R \\ u_R \end \text x > 0

where ''x'' = 0 separates two different states, together with the linearised gas dynamic equation (see gas dynamics for derivation).
:
\begin
\frac + \rho_0 \frac & = 0 \\()
\frac + \frac \frac & = 0
\end

where we can assume w.l.o.g. a\ge 0.
We now can rewrite the above equation in conservative form U_t + A \cdot U_x = 0:
:
U = \begin \rho \\ u \end, \quad A = \begin 0 & \rho_0 \\ \frac & 0 \end

The eigenvalues of the system are the characteristics of the system
\lambda_1 = -a, \lambda_2 = a . They give the propagation speed of the medium, including that of any discontinuity, which is the speed of sound here. The corresponding eigenvectors are
:
\mathbf^ = \begin \rho_0 \\ -a \end, \quad
\mathbf^ = \begin \rho_0 \\ a \end.

By decomposing the left state u_L in terms of the eigenvectors, we get for some \alpha_,\alpha_
:
U_L = \begin \rho_L \\ u_L \end = \alpha_1\mathbf^ + \alpha_2 \mathbf^ .

Now we can solve for \alpha_1 and \alpha_2:
:
\begin
\alpha_1 & = \frac \\()
\alpha_2 & = \frac
\end

Analogously
:U_R = \begin \rho_R \\ u_R \end = \beta_1\mathbf^+\beta_2\mathbf^
for
:
\begin
\beta_1 & = \frac \\()
\beta_2 & = \frac
\end

Using this, in the domain in between the two characteristics t=a|x|,
we get the final constant solution
:
U_
* = \begin \rho_
* \\ u_
* \end
=\beta_1\mathbf^+\alpha_2\mathbf^
= \beta_1 \begin \rho_0 \\ -a\end + \alpha_2 \begin \rho_0 \\ a \end

and the (piecewise constant) solution in the entire domain t>0:
: U(t,x)
= \begin \rho(t,x)\\ u(t,x)\end
=\begin
U_L, & 0U_
* , & 0\le a|x|U_R,& 0\end

Although this is a simple example, it still shows the basic properties. Most important the characteristics decompose the solution into three domains. The propagation speed
of these two equations is equivalent to the propagation speed of sound.
The fastest characteristic defines the Courant–Friedrichs–Lewy (CFL) condition, which sets the restriction for the maximum time step in a computer simulation. Generally as more conservation equations are used, more characteristics are involved.

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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