MATLANG
On the expressive power of linear algebra on graphs. There is a long tradition in understanding graphs by investigating their adjacency matrices by means of linear algebra. Similarly, logic-based graph query languages are commonly used to explore graph properties. In this paper, we bridge these two approaches by regarding linear algebra as a graph query language. More specifically, we consider MATLANG, a matrix query language recently introduced, in which some basic linear algebra functionality is supported. We investigate the problem of characterising the equivalence of graphs, represented by their adjacency matrices, for various fragments of MATLANG. That is, we are interested in understanding when two graphs cannot be distinguished by posing queries in MATLANG on their adjacency matrices. Surprisingly, a complete picture can be painted of the impact of each of the linear algebra operations supported in MATLANG on their ability to distinguish graphs. Interestingly, these characterisations can often be phrased in terms of spectral and combinatorial properties of graphs. Furthermore, we also establish links to logical equivalence of graphs. In particular, we show that MATLANG-equivalence of graphs corresponds to equivalence by means of sentences in the three-variable fragment of first-order logic with counting. Equivalence with regards to a smaller MATLANG fragment is shown to correspond to equivalence by means of sentences in the two-variable fragment of this logic
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References in zbMATH (referenced in 5 articles , 1 standard article )
Showing results 1 to 5 of 5.
Sorted by year (- Brijder, Robert; Gyssens, Marc; Van den Bussche, Jan: On matrices and (K)-relations (2022)
- Geerts, Floris: Correction to: “On the expressive power of linear algebra on graphs” (2021)
- Geerts, Floris: On the expressive power of linear algebra on graphs (2021)
- Brijder, Robert; Gyssens, Marc; Van den Bussche, Jan: On matrices and (K)-relations (2020)
- Brijder, Robert; Geerts, Floris; Van den Bussche, Jan; Weerwag, Timmy: On the expressive power of query languages for matrices (2018)