Métodos miméticos de pasos fraccionarios - E-Archivo - Universidad ...
Métodos miméticos de pasos fraccionarios - E-Archivo - Universidad ...
Métodos miméticos de pasos fraccionarios - E-Archivo - Universidad ...
You also want an ePaper? Increase the reach of your titles
YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.
§2.4 time integration: a linearly implicit fsrkm+1 method 23<br />
S 1,−1<br />
i+1/2,j+1/2<br />
S 1,0<br />
i+1/2,j+1/2<br />
S 1,1<br />
i+1/2,j+1/2<br />
KXX<br />
= −<br />
4(hX )<br />
Y<br />
i+1,j KXY i+1,j KY i+1,j<br />
+ − 2 Y<br />
2h X h<br />
4(hY ,<br />
) 2<br />
i+1,j + KXX i+1,j+1<br />
= −KXX<br />
4(hX ) 2 + KY Y<br />
Y<br />
i+1,j + KY i+1,j+1<br />
4(hY ) 2<br />
= −KXX<br />
4(hX )<br />
Y<br />
i+1,j+1 KXY i+1,j+1 KY i+1,j+1<br />
− − 2 Y<br />
2h X h<br />
4(hY .<br />
) 2<br />
Note that the central element is obtained as:<br />
S 0,0<br />
(<br />
i+1/2,j+1/2 = − S −1,−1<br />
)<br />
i+1/2,j+1/2 + S−1,1<br />
i+1/2,j+1/2 + S1,−1<br />
i+1/2,j+1/2 + S1,1<br />
i+1/2,j+1/2<br />
and it holds that:<br />
S −1,0<br />
i+1/2,j+1/2 + S0,−1<br />
i+1/2,j+1/2 + S0,1<br />
i+1/2,j+1/2 + S1,0<br />
i+1/2,j+1/2 = 0, (2.35)<br />
so that the sum of all of the elements of the stencil matrix is equal to zero.<br />
To conclu<strong>de</strong>, it is easy to check that the preceding elements fulfill the following<br />
conditions:<br />
S −1,−1<br />
i+1/2,j+1/2 = S1,1<br />
i−1/2,j−1/2 ,<br />
S −1,0<br />
i+1/2,j+1/2 = S1,0<br />
i−1/2,j+1/2 ,<br />
S −1,1<br />
i+1/2,j+1/2 = S1,−1<br />
i−1/2,j+3/2 ,<br />
S 0,−1<br />
i+1/2,j+1/2 = S0,1<br />
i+1/2,j−1/2 ,<br />
thus ensuring the symmetry of the diffusion matrix A characterized by (2.33)<br />
(cf. Das et al. (1994)).<br />
2.4. Time integration: a linearly implicit FSRKm+1 method<br />
Once we have <strong>de</strong>rived the MFD semidiscrete scheme (2.28a), endowed with<br />
the initial data (2.28b), we are in condition to introduce a suitable time integrator<br />
for the approximation of the semidiscrete solution. In this section, we<br />
initially <strong>de</strong>fine an appropriate operator splitting belonging to the class of domain<br />
<strong>de</strong>composition methods. Then, we combine it with a linearly implicit fractional<br />
step method in or<strong>de</strong>r to reduce the nonlinear system of ODEs to a set of uncoupled<br />
linear systems per internal stage.<br />
2.4.1. Domain <strong>de</strong>composition operator splitting. Let us first introduce the<br />
basic tools required to <strong>de</strong>fine a suitable domain <strong>de</strong>composition splitting for problem<br />
(2.28). In particular, the spatial domain Ω is <strong>de</strong>composed into a certain<br />
number of overlapping subdomains and a partition of unity is subsequently <strong>de</strong>fined<br />
over Ω. Based on this partition, the discrete diffusion operator A h ≡ A<br />
,