From 0a9690e98f85ec910e6393c1c8089a69bf0fa86b Mon Sep 17 00:00:00 2001 From: Wolfgang Bangerth Date: Fri, 24 Feb 2023 04:47:46 -0700 Subject: [PATCH] Define the 'lumped mass matrix'. --- doc/doxygen/headers/glossary.h | 65 ++++++++++++++++++++++++++++++++++ 1 file changed, 65 insertions(+) diff --git a/doc/doxygen/headers/glossary.h b/doc/doxygen/headers/glossary.h index 7e57dfc1b9..d93eb2a96e 100644 --- a/doc/doxygen/headers/glossary.h +++ b/doc/doxygen/headers/glossary.h @@ -1276,6 +1276,69 @@ * * * + *
@anchor GlossLumpedMassMatrix Lumped mass matrix
+ *
The @ref GlossMassMatrix "mass matrix" is a matrix of the form + * @f{align*}{ + * M_{ij} = \int_\Omega \varphi_i(\mathbf x) \varphi_j(\mathbf x)\; dx, + * @f} + * It frequently appears in the solution of time dependent problems where, if + * one uses an explicit time stepping method, it then leads to the need + * to solve problems of the form + * @f{align*}{ + * MU^n = MU^{n-1} + k_n BU^{n-1}, + * @f} + * in time step $n$, where $U^n$ is the solution to be computed, $U^{n-1}$ is the + * known solution from the first time step, and $B$ is a matrix related to the + * differential operator in the PDE. $k_n$ is the size of the time step. A similar + * linear system of equations also arises out of the discretization of second-order + * differential equations. + * + * The presence of the matrix $M$ on the left side is a nuisance because, even + * though we have used an explicit time stepping method, we still have to solve a + * linear system in each time step. It would be much preferable if the matrix were + * diagonal. "Lumping" the mass matrix is a strategy to replace $M$ by a matrix + * $M_\text{diagonal}$ that actually is diagonal, yet does not destroy the accuracy + * of the resulting solution. + * + * Historically, mass lumping was performed by adding the elements of a row + * together and setting the diagonal entries of $M_\text{diagonal}$ to that + * sum. This works for $Q_1$ and $P_1$ elements, for example, and can be + * understood mechanically by replacing the continuous medium we are + * discretizating by one where the continuous mass distribution is replaced by + * one where (finite amounts of) mass are located only at the nodes. That is, + * we are "lumping together" the mass of an element at its vertices, thus + * giving rise to the name "lumped mass matrix". A more mathematical perspective + * is to compute the integral above for $M_{ij}$ via special quadrature rules; + * in particular, we replace the computation of + * @f{align*}{ + * M_{ij} = \int_\Omega \varphi_i(\mathbf x) \varphi_j(\mathbf x)\; dx + * = \sum_K \int_K \varphi_i(\mathbf x) \varphi_j(\mathbf x)\; dx, + * @f} + * by quadrature + * @f{align*}{ + * (M_{\text{diagonal}})_{ij} = \sum_K \sum_q \varphi_i(\mathbf x_q^K) \varphi_j(\mathbf x_q^K) + * |K| w_q, + * @f} + * where we choose the quadrature points as the *nodes* at which the + * shape functions are defined. If we order the quadrature points in the + * same way as the shape functions, then + * @f{align*}{ + * \varphi_i(\mathbf x_q^K) = \delta_{iq}, + * @f} + * and consequently + * @f{align*}{ + * (M_{\text{diagonal}})_{ij} = \delta_{ij} \sum_{K, \text{supp}\varphi_i \cap K \neq \emptyset} |K| w_i, + * @f} + * where the sum extends over those cells on which $\varphi_i$ is nonzero. + * The so-computed mass matrix is therefore diagonal. + * + * Whether or not this particular choice of quadrature formula is sufficient + * to retain the convergence rate of the discretization is a separate + * question. For the usual $Q_k$ finite elements, the appropriate + * quadrature formulas are of QGaussLobatto type. + *
+ * + * *
@anchor GlossManifoldIndicator %Manifold indicator
* *
Every object that makes up a Triangulation (cells, faces, @@ -1368,6 +1431,8 @@ * step-23, step-26, and a number of the other time dependent equations solved by * tutorial programs. * + * The mass matrix is occasionally approximated by a diagonal matrix, + * see the glossary entry for @ref GlossLumpedMassMatrix "lumped mass matrix". * See also the @ref GlossStiffnessMatrix "stiffness matrix" * for a related case. * -- 2.39.5