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Why Laplacian is used instead of a combination of divergence and gradient operators? |
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December 23, 2013, 13:13 |
Why Laplacian is used instead of a combination of divergence and gradient operators?
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#1 | ||
Senior Member
Canakkale Dardanelspor
Join Date: Aug 2012
Posts: 135
Rep Power: 13 |
Hi
== 1 == The question is why Laplacian is considered as a single operator instead of a combination of the divergence and gradient operations despite these two mathematically the same. == 2 == OpenFOAM programmer's guide Version 2.2.2, page 24, raises this point without giving any justifications: Quote:
Some made mention of this in the forum as follows: Quote:
My guess is that changing the rank of the tensor of interest would lead to an arbitrary issue during the tensor transformation via Laplacian operator if Laplacian is implemented as a combination of the divergence and gradient operators. == 5 == Many thanks for any answer. |
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