From 4ac070b9fe11083976c4089e87146654f1e4ede2 Mon Sep 17 00:00:00 2001
From: kronbichler <kronbichler@0785d39b-7218-0410-832d-ea1e28bc413d>
Date: Mon, 16 Sep 2013 20:50:27 +0000
Subject: [PATCH] Add a comment on vector-valued problems

git-svn-id: https://svn.dealii.org/trunk@30746 0785d39b-7218-0410-832d-ea1e28bc413d
---
 deal.II/examples/step-51/doc/intro.dox | 20 +++++++++++++-------
 1 file changed, 13 insertions(+), 7 deletions(-)

diff --git a/deal.II/examples/step-51/doc/intro.dox b/deal.II/examples/step-51/doc/intro.dox
index dacb532c60..daa8de30fe 100644
--- a/deal.II/examples/step-51/doc/intro.dox
+++ b/deal.II/examples/step-51/doc/intro.dox
@@ -262,13 +262,19 @@ super-convergence result with rate $\mathcal {O}(h^{p+2})$. The motivation for
 the above equation is the minimization of the expression $|\kappa \nabla u_h^*
 + \mathbf{q}_h|^2$ over the cell <i>K</i>. It should be noted that there is
 some freedom in constructing $u_h^*$ and this approach to extract the
-information from the gradient is not the only one. For example, the paper by
-Nguyen, Peraire and Cockburn cited above suggests another somewhat more
-involved formula for convection-diffusion that can also post-process the flux
-variable into an $H(\Omega,\mathrm{div})$-conforming variant and better
-represents the local convection-diffusion operator when the diffusion is
-small. We leave the implementation of a more sophisticated post-processing as
-a possible extension to the user.
+information from the gradient is not the only one. In particular, the
+post-processed solution defined here does not satisfy the convection-diffusion
+equation in any sense. As an alternative, the paper by Nguyen, Peraire and
+Cockburn cited above suggests another somewhat more involved formula for
+convection-diffusion that can also post-process the flux variable into an
+$H(\Omega,\mathrm{div})$-conforming variant and better represents the local
+convection-diffusion operator when the diffusion is small. We leave the
+implementation of a more sophisticated post-processing as a possible extension
+to the interested reader.
+
+Note that for vector-valued problem, the approach is very similar. One simply
+sets the constraint for the mean value of each vector component separately and
+uses the gradient for the main work.
 
 <h3> Problem specific data </h3>
 
-- 
2.39.5