2003
DOI: 10.1016/s0165-0114(02)00512-2
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Powers of matrices over distributive lattices?a review

Abstract: In this paper we review the results on powers of matrices over a distributive lattice. We stress the signiÿ-cance of the graph-theoretical approach and show how several previous results for matrices of special types can be obtained in a uniÿed way.

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Cited by 22 publications
(20 citation statements)
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“…It was shown in [6] that each λ ∈ B is an eigenvalue of a given matrix A and the sequence e λ , A ⊗ e λ , A 2 ⊗ e λ , . .…”
Section: For a Givenmentioning
confidence: 99%
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“…It was shown in [6] that each λ ∈ B is an eigenvalue of a given matrix A and the sequence e λ , A ⊗ e λ , A 2 ⊗ e λ , . .…”
Section: For a Givenmentioning
confidence: 99%
“…These relations allow us to formulate the next assertion for λ ≥ max i,j∈N a ij using the known results on the ultimately periodic matrices (see [4,6,10,9]). Proof.…”
Section: It Is Easy To See That Ifmentioning
confidence: 99%
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“…Powers of real matrices computed with at least one of the addition/multiplication operations replaced by maximum or minimum have been extensively studied, since they have applications in various types of discrete systems [2]. In this section, we assume that all the fuzzy relations R ∈ F (X × X) and X is a finite set.…”
Section: The Algorithm Of Convergence Exponentmentioning
confidence: 99%
“…Thomason [11]). Let R ∈ F (X × X), define R 1 = R, R k+1 = R k R for all positive integer k. [2], Thomason [11]). A fuzzy relation R ∈ F (X × X) is called convergent if there exists a positive integer k such that R k+1 = R k .…”
Section: The Algorithm Of Convergence Exponentmentioning
confidence: 99%