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typos; closes #421
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content/computability/recursive-functions/pr-relations.tex

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\Char{Q}(\vec x)$ or as $\fn{min}(\Char{P}(\vec x), \Char{Q}(\vec
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x))$. Similarly,
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\begin{align*}
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\Char{P \lor Q}(\vec x) & = \fn{max}(\Char{P}(\vec x), \Char{Q}(\vec x))) \text{ and}\\
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\Char{P \lor Q}(\vec x) & = \fn{max}(\Char{P}(\vec x), \Char{Q}(\vec x)) \text{ and}\\
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\Char{P \lif Q}(\vec x) & = \fn{max}(1 \tsub
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\Char{P}(\vec x), \Char{Q}(\vec x)).
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\end{align*}

content/first-order-logic/sequent-calculus/provability-quantifiers.tex

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\begin{explain}
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The completeness theorem also requires that the sequent calculus
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rules rules yield the facts about~$\Proves$ established in this
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rules yield the facts about~$\Proves$ established in this
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section.
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\end{explain}
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content/model-theory/basics/partial-iso.tex

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\in \Assign P N$;
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\item for every $n$-place !!{function} $f$: if $a_1$, \dots, $a_n$
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are in the domain of $p$, then $p(\Assign f M (a_1, \dots,a_n))
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= \Assign f N (p(a_1), \ dots, p(a_n))$.
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= \Assign f N (p(a_1), \dots, p(a_n))$.
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\end{enumerate}
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That $p$ is finite means that $\dom{p}$ is finite.
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\end{defn}

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