Symmetric Transrationals: The Data Type and the Algorithmic Degree of its Equational Theory
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| Publication date | 2022 |
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| Book title | A Journey from Process Algebra via Timed Automata to Model Learning |
| Book subtitle | Essays Dedicated to Frits Vaandrager on the Occasion of His 60th Birthday |
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| Series | Lecture Notes in Computer Science |
| Pages (from-to) | 63-80 |
| Publisher | Cham: Springer |
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| Abstract |
We introduce and investigate an arithmetical data type designed for computation with rational numbers. Called the symmetric transrationals, this data type comes about as a more algebraically symmetric modification of the arithmetical data type of transrational numbers [9], which was inspired by the transreals of Anderson et.al. [1]. We also define a bounded version of the symmetric transrationals thereby modelling some further key semantic properties of floating point arithmetic. We prove that the bounded symmetric transrationals constitute a data type. Next, we consider the equational theory and prove that deciding the validity of equations over the symmetric transrationals is 1-1 algorithmically equivalent with deciding unsolvability of Diophantine equations over the rational numbers, which is a longstanding open problem. The algorithmic degree of the bounded case remains open. |
| Document type | Chapter |
| Language | English |
| Published at | https://doi.org/10.1007/978-3-031-15629-8_4 |
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