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First-Order Logic: Terms and Normal Forms

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Mathematical Logic for Computer Science
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Abstract

The formulas in first-order logic that we have defined are sufficient to express many interesting properties. Consider, for example, the formula:

$$ \forall x \forall y \forall z\, (p\,(x,y) \wedge p\,(y,z) \mathbin{\rightarrow} p\,(x,z)). $$

Under the interpretation:

$$ \{Z,\{ < \} ,\{ \} \} , $$

it expresses the true statement that the relation less-than is transitive in the domain of the integers. Suppose, now, that we want to express the following statement which is also true in the domain of integers:

$$ \mathit{for} \:\mathit{all}\; x, y, z: (x < y) \mathbin{\rightarrow} (x+z < y+z). $$

The difference between this statement and the previous one is that it uses the function +.

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References

  • M. Fitting. First-Order Logic and Automated Theorem Proving (Second Edition). Springer, 1996.

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  • J.W. Lloyd. Foundations of Logic Programming (Second Edition). Springer, Berlin, 1987.

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© 2012 Springer-Verlag London

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Ben-Ari, M. (2012). First-Order Logic: Terms and Normal Forms. In: Mathematical Logic for Computer Science. Springer, London. https://doi.org/10.1007/978-1-4471-4129-7_9

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  • DOI: https://doi.org/10.1007/978-1-4471-4129-7_9

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4128-0

  • Online ISBN: 978-1-4471-4129-7

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