July 2019

In computational mathematics, when dealing with a large linear discrete problem (e.g., a linear system) arising from the numerical discretization of a partial differential equation (PDE), the knowledge of the spectral distribution of the associated matrix has proved to be a useful information for designing/analyzing appropriate solvers-especially, preconditioned Krylov and multigrid solvers-for the considered problem. Actually, this spectral information is of interest also in itself as long as the eigenvalues of the aforementioned matrix represent physical quantities of interest, which is the case for several problems from engineering and applied sciences (e.g., the study of natural vibration frequencies in an elastic material).

The theory of multilevel generalized locally Toeplitz (GLT) sequences is a powerful apparatus for computing the asymptotic spectral distribution of matrices

Aarising from virtually any kind of numerical discretization of PDEs. Indeed, when the mesh-fineness parameter_{n}ntends to infinity, these matricesAgive rise to a sequence_{n}{A, which often turns out to be a multilevel GLT sequence or one of its "relatives", i.e., a multilevel block GLT sequence or a (multilevel) reduced GLT sequence. In particular, multilevel block GLT sequences are encountered in the discretization of systems of PDEs as well as in the higher-order finite element or discontinuous Galerkin approximation of scalar/vectorial PDEs._{n}}_{n}In this work, we systematically develop the theory of multilevel block GLT sequences as an extension of the theories of (unilevel) GLT sequences [GLT-bookI], multilevel GLT sequences [GLT-bookII], and block GLT sequences [bg]. We also present several emblematic applications of this theory in the context of PDE discretizations.

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