Invertible Linear Transforms of Numerical Abstract Domains

  • Francesco RanzatoEmail author
  • Marco Zanella
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11002)


We study systematic changes of numerical domains in abstract interpretation through invertible linear transforms of the Euclidean vector space, namely, through invertible real square matrices. We provide a full generalization, including abstract transfer functions, of the parallelotopes abstract domain, which turns out to be an instantiation of an invertible linear transform to the interval abstraction. Given an invertible square matrix M and a numerical abstraction A, we show that for a linear program P (i.e., using linear assignments and linear tests only), the analysis using the linearly transformed domain M(A) can be obtained by analysing on the original domain A a linearly transformed program \(P^M\). We also investigate completeness of abstract domains for invertible linear transforms. In particular, we show that, perhaps counterintuitively, octagons are not complete for \(45^{\circ }\) rotations and, additionally, cannot be derived as a complete refinement of intervals for some family of invertible linear transforms.



We are grateful to the anonymous referees for their helpful remarks. The doctoral fellowship of Marco Zanella is funded by Fondazione Bruno Kessler (FBK), Trento, Italy.


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Authors and Affiliations

  1. 1.Dipartimento di MatematicaUniversity of PadovaPadovaItaly

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