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Continuing from the previous chapter, this chapter explores the powerful applications of diagonalisation. We demonstrate first how it can be used to determine the powers of a matrix, which can then be applied to solve a coupled system of recurrence equations. An alternative approach to solving such systems also uses diagonalisation, but uses it to effect a change of variable so that the corresponding system in the new variables is much simpler to solve (and can then be used to revert to the solution in the original variables). We show how an analogous approach can be used to solve coupled systems of differential equations. This closing chapter provides an interesting link between the calculus and linear algebra aspects of the course.
A mathematical discrete-time population model is presented, which leads to a system of two interlinked, or coupled, recurrence equations. We then turn to the general issue of how to solve such systems. One approach is to reduce the two coupled equations to a single second-order equation and solve using the techniques already developed, but there is another more sophisticated way. To this end, we introduce eigenvalues and eigenvectors, show how to find them and explain how they can be used to diagonalise a matrix.
Emerson and Halpern (1986, Journal of the Association for Computing Machinery33, 151–178) prove that the Computation Tree Logic (CTL) cannot express the existence of a path on which a proposition holds infinitely often (fairness for short).
The scope is widened from CTL to a general branching-time logic. A path quantifier is followed by a language with temporal descriptions. In this extended setting, the said inexpressiveness is strengthened in two aspects. First, universal path quantifiers are unrestricted. In this way, they are relieved of any temporal quantifiers such as of those in
$\mathtt{AU}$
and
$\mathtt{AR}$
from CTL. Second, existential path quantifiers are allowed with any countable language. Instances are the temporal quantifiers in
$\mathtt{EU}$
and
$\mathtt{ER}$
from CTL. By contrast, the fairness statement is an existential path quantifier with an uncountable language. Both aspects indicate that this inexpressiveness is optimal with respect to the polarity of path quantifiers and to the cardinality of their languages.
The prevalent interpretation of Gödel’s Second Theorem states that a sufficiently adequate and consistent theory does not prove its consistency. It is however not entirely clear how to justify this informal reading, as the formulation of the underlying mathematical theorem depends on several arbitrary formalisation choices. In this paper I examine the theorem’s dependency regarding Gödel numberings. I introduce deviant numberings, yielding provability predicates satisfying Löb’s conditions, which result in provable consistency sentences. According to the main result of this paper however, these “counterexamples” do not refute the theorem’s prevalent interpretation, since once a natural class of admissible numberings is singled out, invariance is maintained.
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