Krivine Machine and Taylor Expansion in a Non-uniform Setting

Antoine Allioux
(Institut de Recherche en Informatique Fondamentale, Paris, France)

The Krivine machine is an abstract machine implementing the linear head reduction of lambda-calculus. Ehrhard and Regnier gave a resource sensitive version returning the annotated form of a lambda-term accounting for the resources used by the linear head reduction. These annotations take the form of terms in the resource lambda-calculus.

We generalize this resource-driven Krivine machine to the case of the algebraic lambda-calculus. The latter is an extension of the pure lambda-calculus allowing for the linear combination of lambda-terms with coefficients taken from a semiring. Our machine associates a lambda-term M and a resource annotation t with a scalar k in the semiring describing some quantitative properties of the linear head reduction of M.

In the particular case of non-negative real numbers and of algebraic terms M representing probability distributions, the coefficient k gives the probability that the linear head reduction actually uses exactly the resources annotated by t. In the general case, we prove that the coefficient k can be recovered from the coefficient of t in the Taylor expansion of M and from the normal form of t.

In Iliano Cervesato and Maribel Fernández: Proceedings Fourth International Workshop on Linearity (LINEARITY 2016), Porto, Portugal, 25 June 2016, Electronic Proceedings in Theoretical Computer Science 238, pp. 24–32.
Published: 17th January 2017.

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