Decay patterns of matrix inverses have recently attracted considerable interest, due to their relevance in numerical analysis, and in applications requiring matrix function approximations. In this paper we analyze the decay pattern of the inverse of banded matrices of the form S=M⊗In+In⊗M where M is tridiagonal, symmetric and positive definite, In is the identity matrix, and ⊗ stands for the Kronecker product. It is well known that the inverses of banded matrices exhibit an exponential decay pattern away from the main diagonal. However, the entries in S−1 show a non-monotonic decay, which is not caught by classical bounds. By using an alternative expression for S−1, we derive computable upper bounds that closely capture the actual behavior of its entries. We also show that similar estimates can be obtained when M has a larger bandwidth, or when the sum of Kronecker products involves two different matrices. Numerical experiments illustrating the new bounds are also reported.
Canuto, C., Simoncini, V., Verani, M. (2014). On the decay of the inverse of matrices that are sum of Kronecker products. LINEAR ALGEBRA AND ITS APPLICATIONS, 452, 21-39 [10.1016/j.laa.2014.03.029].
On the decay of the inverse of matrices that are sum of Kronecker products
SIMONCINI, VALERIA;
2014
Abstract
Decay patterns of matrix inverses have recently attracted considerable interest, due to their relevance in numerical analysis, and in applications requiring matrix function approximations. In this paper we analyze the decay pattern of the inverse of banded matrices of the form S=M⊗In+In⊗M where M is tridiagonal, symmetric and positive definite, In is the identity matrix, and ⊗ stands for the Kronecker product. It is well known that the inverses of banded matrices exhibit an exponential decay pattern away from the main diagonal. However, the entries in S−1 show a non-monotonic decay, which is not caught by classical bounds. By using an alternative expression for S−1, we derive computable upper bounds that closely capture the actual behavior of its entries. We also show that similar estimates can be obtained when M has a larger bandwidth, or when the sum of Kronecker products involves two different matrices. Numerical experiments illustrating the new bounds are also reported.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.