Let be the Jacobian matrix associated with one of the fluxes
of the original system,
and
the vector of unknowns. Then, the locally constant matrix
, depending on
and
(the left and right state defining the local Riemann problem), must have the following four
properties:
Conditions 1 and 2 are necessary if one is to recover smoothly the linearized algorithm from the nonlinear version. Condition 3 (supposing Condition 4 is fulfilled) ensures that if a single discontinuity is located at the interface, then the solution of the linearized problem is the exact solution of the nonlinear Riemann problem.
Once a matrix satisfying Roe’s conditions has been obtained for every numerical interface, the
numerical fluxes are computed by solving the locally linear system. Roe’s numerical flux is then given by
Roe’s linearization for the relativistic system of equations in a general spacetime can be expressed in
terms of the average state [83, 84
]
Relaxing Condition 3 above, Roe’s solver is no longer exact for shocks but still produces accurate
solutions. Moreover, the remaining conditions are fulfilled by a large number of averages. The 1D general
relativistic hydrodynamic code developed by Romero et al. [250] uses flux formula (36
) with an
arithmetic average of the primitive variables at both sides of the interface. It has successfully
passed a long series of tests including the spherical version of the relativistic shock reflection (see
Section 6.1).
Roe’s original idea has been exploited in the so-called local characteristic approach (see, e.g., [307]). This
approach relies on a local linearization of the system of equations by defining at each point a set of
characteristic variables, which obey a system of uncoupled scalar equations. This approach has proven to be
very successful, because it allows for the extension to systems of scalar nonlinear methods. Based on the
local characteristic approach are the methods developed by Marquina et al. [176] and Dolezal and
Wong [74
], which both use high-order reconstructions of the numerical characteristic fluxes, namely
PHM [176
] and ENO [74
] (see Section 9.5).
http://www.livingreviews.org/lrr-2003-7 |
© Max Planck Society and the author(s)
Problems/comments to |