Laboratoire de l'Informatique et du Parallélisme » Linear Arithmetic

\section{Soundness}

\label{sect:soundness}

The main result of this section is the following:

\begin{theorem}

	\label{thm:soundness}

	If $\arith^i$ proves $\forall \vec u^\normal . \forall \vec x^\safe . \exists y^\safe . A(\vec u ; \vec x , y)$ then there is a $\mubci{i-1}$ program $f(\vec u ; \vec x)$ such that $\Nat \models A(\vec u ; \vec x , f(\vec u ; \vec x))$.

\end{theorem}

The main problem for soundness is that we have predicates, for example equality, that take safe arguments in our theory but do not formally satisfy the polychecking lemma for $\mubc$ functions.

For this we will use length-bounded witnessing, borrowing a similar idea from Bellantoni's previous work \cite{Bellantoni95}.

\begin{definition}

[Length bounded basic functions]

We define \emph{length-bounded equality}, $\eq(l;x,y)$ as the characteristic function of the predicate:

\[

x \mode l = y \mode l

\]

which is definable by safe recursion on $l$:

\[

\begin{array}{rcl}

\eq (0 ; x,y) & \dfn & \equivfn (;\bit (0;x),\bit(0;y) ) \\

\eq (\succ i l; x,y) & \dfn & \cond (; \eq ( u;x,y ) , 0, \equivfn (; \bit (\succ i u ; x ) , \bit (\succ i l ; y ))  )

\end{array}

\]

We also define length-bounded inequality as:

\[

\begin{array}{rcl}

\leqfn (0 ; x ,y) & \dfn & \cimp (; \bit (0;x), \bit (0;y) ) \\

\leqfn (\succ i l ; x,y) & \dfn & \orfn ( ; <(\bit (\succ i l ; x) , \bit(\succ i l ; y) ) , \andfn (; \equivfn (\bit (\succ i l ; x) , \bit(\succ i l ; y)) , \leqfn (l;x,y ) ) )

\end{array}

\]

\end{definition}

\anupam{Do we need the general form of length-boundedness? E.g. the $*$ functions from Bellantoni's paper? Put above if necessary. Otherwise just add sequence manipulation functions as necessary.}

Notice that $\eq$ is a polymax bounded polyomial checking function on its normal input, and so can be added to $\mubc$ without problems.

\begin{definition}

	[Length bounded characteristic functions]

	We define $\mubci{}$ programs $\charfn{}{A} (l , \vec u; \vec x)$, parametrised by a formula $A(\vec u ; \vec x)$, as follows.

%	If $A$ is a $\Pi_{i}$ formula then:

	\[

	\begin{array}{rcl}

	\charfn{}{s\leq t} (l, \vec u ; \vec x) & \dfn & \leqfn(l;s,t) \\

	\smallskip

	\charfn{}{s=t} (l, \vec u ; \vec x) & \dfn & \eq(l;s,t) \\

	\smallskip

	\charfn{}{\neg A} (l, \vec u ; \vec x) & \dfn & \neg (;\charfn{}{A}(l , \vec u ; \vec x)) \\

	\smallskip

	\charfn{}{A\cor B} (l, \vec u ; \vec x ) & \dfn & \cor (; \charfn{}{A} (l, \vec u ; \vec x , w), \charfn{}{B} (\vec u ;\vec x) ) \\

	\smallskip

	\charfn{}{A\cand B} (l, \vec u ; \vec x ) & \dfn & \cand(; \charfn{}{A} (l, \vec u ; \vec x , w), \charfn{}{B} (\vec u ;\vec x) ) \\

	\smallskip

	\charfn{}{\exists x^\safe . A(x)} (l, \vec u ;\vec x) & \dfn & \begin{cases}

	1 & \exists x^\safe . \charfn{}{A(x)} (l, \vec u ;\vec x , x) = 1 \\

	0 & \text{otherwise}

	\end{cases} \\

	\smallskip

	\charfn{}{\forall x^\safe . A(x)} (l, \vec u ;\vec x ) & \dfn &

	\begin{cases}

	0 & \exists x^\sigma. \charfn{}{ A(x)} (l, \vec u; \vec x , x) = 0 \\

	1 & \text{otherwise}

	\end{cases}

	\end{array}

	\]

\end{definition}

\anupam{Above and below definitions need to be with respect to a typing of variables which terms respect.}

\begin{proposition}

	$\charfn{}{A} (l, \vec u ; \vec x)$ is the characteristic function of $A (\vec u \mode l ; \vec x \mode l)$.

\end{proposition}

\begin{definition}

	[Length bounded witness function]

	We now define $\Wit{\vec u ; \vec x}{A} (l , \vec u ; \vec x)$ for a $\Sigma_{i+1}$-formula $A$ with free variables amongst $\vec u; \vec x$.

	For a $\Sigma^\safe_i$ formula $A$ with free variables amongst $(\vec u ; \vec x)$, with $\vec x$ occurring only hereditarily safe in terms, we define the \emph{length-bounded witness function} $\wit{\vec u ; \vec x}{A} (l, \vec u ; \vec x , w)$ and its \emph{bounding polynomial} $b_A (l)$ as follows:

	\begin{itemize}

		\item If $A$ is $\Pi^\safe_{i-1}$ then $\wit{\vec u ; \vec x}{A} (l, \vec u ; \vec x , w) \dfn \charfn{\vec u ; \vec x}{A} (l, \vec u ; \vec x )$.

		\item If $A$ is $B \cor C$ then

		\[

		\wit{\vec u ; \vec x}{A} (l, \vec u ;\vec x , w)

		\quad \dfn \quad

		\orfn ( ; \wit{\vec u ; \vec x}{B} (l, \vec u ; \vec x , \beta (b_B (l) , 0 ; w ) ) , \wit{\vec u ; \vec x}{C} (l, \vec u ; \vec x , \beta (b_C (l) , 0 ; w ) )  )

		\]

		and we may set $b_A = O(b_B + b_C)$.

		\item Similarly if $A $ is $B \cand C$, but with $\andfn$ in place of $\orfn$.

%		\item If $A$ is $B \cand C$ then

%			\[

%			\wit{\vec u ; \vec x}{A} (l, \vec u ;\vec x , w)

%			\quad \dfn \quad

%			\andfn ( ; \wit{\vec u ; \vec x}{B} (l, \vec u ; \vec x , \beta (b_B (l) , 0 ; w ) ) , \wit{\vec u ; \vec x}{C} (l, \vec u ; \vec x , \beta (b_C (l) , 0 ; w ) )  )

%			\]

%			and we may set $b_A = O(b_B + b_C)$.

		\item If $A$ is $\forall u \leq |t(\vec u;)| . B(u)$ then

		\[

		\wit{\vec u ; \vec x}{A}

		\quad \dfn\quad

		\forall u\normal \leq |t|.

		\wit{u, \vec u ; \vec x}{B(u)} (l, u, \vec u ; \vec x , \beta( b_{B(t)} (l) , u ; w ) )

		\]

		appealing to Lemma~\ref{lem:sharply-bounded-recursion}, where we may set $b_A = O(b_{B(t)}^2 )$.

		\item Similarly if $A$ is $\exists u^\normal \leq |t(\vec u;)|. A'(u)$, but with $\exists u \leq |t|$ in place of $\forall u \leq |t|$.

		\item If $A$ is $\exists x^\safe . B(x) $ then

		\[

		\wit{\vec u ; \vec x}{A}

		\quad \dfn \quad

		\wit{\vec u ; \vec x , x}{B(x)} ( l, \vec u ; \vec x , \beta( b_{B} (l) , 0;w ) , \beta (q(l) , 1 ;w ))

		\]

		where $q$ is obtained by the polychecking and bounded minimisation lemmata for $\wit{\vec u ; \vec x , x}{B(x)}$.

		We may set $b_A = O(b_B + q )$.

	\end{itemize}

%	\[

%	\begin{array}{rcl}

%	\wit{\vec u ; \vec x}{A} (l, \vec u ; \vec x , w) & \dfn & \charfn{}{A} (l, \vec u ; \vec x)  \text{ if $A$ is $\Pi_i$} \\

%	\smallskip

%	\wit{\vec u ; \vec x}{A \cor B} (l,\vec u ; \vec x , \vec w^A , \vec w^B) & \dfn & \cor ( ; \wit{\vec u ; \vec x}{A} (l,\vec u ; \vec x , \vec w^A) ,\wit{\vec u ; \vec x}{B} (l,\vec u ; \vec x , \vec w^B)  )  \\

%	\smallskip

%	\wit{\vec u ; \vec x}{A \cand B} (l,\vec u ; \vec x , \vec w^A , \vec w^B) & \dfn & \cand ( ; \wit{\vec u ; \vec x}{A} (l,\vec u ; \vec x , \vec w^A) ,\wit{\vec u ; \vec x}{B} (l,\vec u ; \vec x , \vec w^B)  )  \\

%	\smallskip

%	\wit{\vec u ; \vec x}{\exists x^\safe . A(x)} (l,\vec u ; \vec x , \vec w , w) & \dfn & \wit{\vec u ; \vec x , x}{A(x)} ( l,\vec u ; \vec x , w , \vec w )

%	\\

%	\smallskip

%	\wit{\vec u ; \vec x}{\forall u \leq |t(\vec u;)| . A(x)} (l , \vec u ; \vec x, w) & \dfn &

%	\forall u \leq |t(\vec u;)| . \wit{u , \vec u ; \vec x}{A(u)} (l, u , \vec u ; \vec x, \beta(u;w) )

%	\end{array}

%	\]

%	\anupam{need length bounding for sharply bounded quantifiers}

\end{definition}

\anupam{may as well use a single witness variable since need it for sharply bounded quantifiers anyway.}

\anupam{sharply bounded case obtained by sharply bounded lemma}

\begin{proposition}

	If, for some $w$, $\wit{\vec u ; \vec x}{A} (l, \vec u ; \vec x,w) =1$, then $A (\vec u \mode l ; \vec x \mode l)$ is true.

	\anupam{check statement, need proof-theoretic version?}

\end{proposition}

By the polychecking lemma, we can assume that such a $w$ is bounded by some polynomial in $l$.

In order to prove Thm.~\ref{thm:soundness} we need the following lemma:

\paragraph*{Two properties needed}

For below, need witnesses and functions bounded by a polynomial in $l$.

\begin{lemma}

		[Proof interpretation]

		\label{lem:proof-interp}

	From a normal form \todo{define, prove exists} $\arith^i$ proof $\pi$ of a $\Sigma^\safe_i$ sequent $\normal(\vec u), \safe(\vec x) , \Gamma  \seqar \Delta$

	there are $\mubci{i-1}$ functions $\vec f^\pi (\vec u ; \vec x , w)$ (where $\vec f^\pi = (f^\pi_B)_{B\in\Delta}$) such that, for any $l, \vec u ; \vec x  , w$, we have:

	\[

%	\vec a^\nu = \vec u ,

%	\vec b^\sigma = \vec u,

	\bigwedge\limits_{A \in \Gamma} \wit{\vec u ; \vec x}{ A} (l, \vec u ; \vec x , w_A) =1

	\quad \implies \quad

	\bigvee\limits_{B\in \Delta} \wit{\vec u ; \vec x}{B} (l, \vec u ; \vec x , f^\pi_B(\vec u \mode l ; \vec x \mode l, \vec w)) = 1

	\]

	\anupam{Need $\vec w \mode p(l)$ for some $p$.}

	\anupam{$l$ may occur freely in the programs $f^\pi_B$}

\end{lemma}

For the implication above, let us simply refer to the LHS as $\Wit{\vec u ; \vec x}{\Gamma} (l , \vec u ; \vec x , \vec w)$ and the RHS as $\Wit{\vec u ; \vec x}{ \Delta} (l, \vec u ; \vec x , \vec w')$, with $\vec w'$ in place of $\vec f( \cdots )$, which is a slight abuse of notation: we assume that LHS and RHS are clear from context.

\begin{proof}

	Since the proof is in typed variable normal form we have that each line of the proof is of the same form, i.e.\ $\normal (\vec u), \safe (\vec x) , \Gamma \seqar \Delta$ over free variables $\vec u ; \vec x$.

	We define the function $f$ inductively, by considering the various final rules of $\pi$.

	\paragraph*{Negation}

	Can assume only on atomic formulae, so no effect.

	\paragraph*{Logical rules}

	Pairing, depairing. Need length-boundedness.

	If we have a left conjunction step:

	\[

	\vlinf{\lefrul{\cand}}{}{ \normal (\vec u ), \safe (\vec x) , A\cand B , \Gamma \seqar \Delta }{ \normal (\vec u ), \safe (\vec x) , A, B , \Gamma \seqar \Delta}

	\]

		By inductive hypothesis we have functions $\vec f (\vec u ; \vec x , w_A , w_B , \vec w)$ such that,

		\[

		\Wit{\vec u ; \vec x}{\Gamma} (l, \vec u ; \vec x , w_A , w_B , \vec w)

		\quad \implies \quad

		\Wit{\vec u ; \vec x}{\Delta} (l, \vec u ; \vec x , \vec f ( (\vec u ; \vec x) \mode l , (w_A , w_B , \vec w) \mode p(l) ))

		\]

	for some polynomial $p$.

	%

		We define $\vec f^\pi (\vec u ; \vec x , w , \vec w) \dfn \vec f (\vec u ; \vec x , \beta (p(l),0; w) , \beta(p(l),1;w),\vec w )$ and, by the bounding polynomial for pairing, it suffices to set $p^\pi = O(p)$.

	Right disjunction step:

	\[

		\vlinf{\rigrul{\cor}}{}{ \normal (\vec u ), \safe (\vec x) , \Gamma \seqar \Delta , A \cor B}{ \normal (\vec u ), \safe (\vec x) , \Gamma \seqar \Delta, A, B }

	\]

		$\vec f^\pi_\Delta$ remains the same as that of premiss.

		Let $f_A, f_B$ be the functions corresponding to $A$ and $B$ in the premiss, so that:

		\[

		\Wit{\vec u ; \vec x}{\Gamma} (l, \vec u ; \vec x , \vec w)

		\quad \implies \quad

		\Wit{\vec u ; \vec x}{\Delta} (l, \vec u ; \vec x , f_C ( (\vec u ; \vec x) \mode l , \vec w \mode p(l) ))

		\]

		for $C = A,B$ and for some $p$, such that $f_A , f_B$ are bounded by $q(l)$ (again by IH).

		We define $f^\pi_{A\cor B} (\vec u ; \vec x, \vec w) \dfn \pair{q(l)}{f_A ((\vec u ; \vec x, \vec w))}{f_B ((\vec u ; \vec x, \vec w))}$.

	\paragraph*{Quantifiers}

	\anupam{Do $\exists$-right and $\forall$-right, left rules are symmetric.}

	Sharply bounded quantifiers are generalised versions of logical rules.

	\[

	\vlinf{|\forall|}{}{\normal (\vec u) , \safe (\vec x) , \Gamma \seqar  \Delta , \forall u^\normal \leq |t(\vec u;)| . A(u) }{ \normal(u) , \normal (\vec u) , \safe (\vec x) , u \leq |t(\vec u;)| , \Gamma \seqar  \Delta, A(u)  }

	\]

	By the inductive hypothesis we have functions $\vec f(u , \vec u ; \vec x , w , \vec w)$ such that:

	\[

	\Wit{u ,\vec u ; \vec x}{\lhs} ( u , \vec u ;\vec x , w , \vec w )

	\quad \implies \quad

	\Wit{u , \vec u ; \vec x}{\rhs} (u, \vec u ; \vec x , \vec f ((\vec u ; \vec x) \mode l , \vec w \mode p(l) ) )

	\]

	with $|f|\leq q(|l|)$.

	By Lemma~\ref{lem:sequence-creation}, we have a function $F (l , u , \vec u ; \vec x , w , \vec w) $ such that....

	We set $f^\pi_{\forall u^\normal \leq t . A} (\vec u ; \vec x , \vec w) \dfn F(q(|l|), t(\vec u;), \vec u ; \vec x , 0, \vec w  )$.

	Right existential:

	\[

	\vlinf{\rigrul{\exists}}{}{\normal(\vec u ) , \safe (\vec x) , \Gamma \seqar \Delta , \exists x . A(x)}{\normal(\vec u ) , \safe (\vec x) , \Gamma \seqar \Delta , A(t)}

	\]

	Here we assume the variables of $t$ are amongst $(\vec u ; \vec x)$, since we are in typed variable normal form.

	\paragraph*{Contraction}

	Left contraction simply duplicates an argument, whereas right contraction requires a conditional on a $\Sigma^\safe_i$ formula.

	\[

	\vlinf{\cntr}{}{\normal (\vec u) , \safe (\vec x) , \Gamma \seqar \Delta , A }{\normal (\vec u) , \safe (\vec x) , \Gamma \seqar \Delta , A , A}

	\]

	$\vec f^\pi_\Delta$ remains the same as that of premiss. Let $f_0 ,f_1$ correspond to the two copies of $A$ in the premiss.

	 We define:

	 \[

	 f^\pi_A ( \vec u ; \vec x , \vec w  )

	 \quad \dfn \quad

	 \cond (; \wit{\vec u ; \vec x}{A} ( l , \vec u ; \vec x , f_0(\vec u ; \vec x , \vec w) ) , f_1(\vec u ; \vec x , \vec w) , f_0(\vec u ; \vec x , \vec w)  )

	 \]

	\anupam{For $\normal (\vec u), \safe (\vec x)$ in antecedent, we always consider as a set, so do not display explicitly contraction rules. }

	\paragraph*{Induction}

	Corresponds to safe recursion on notation.

	Suppose final step is (wlog):

	\[

	\vlinf{\pind}{}{ \normal (\vec u), \safe (\vec x) , \Gamma, A(0) \seqar A(t(\vec u ;)) , \Delta}{ \left\{\normal (u) , \normal (\vec u) , \safe (\vec x) , \Gamma,  A(u) \seqar A(\succ i u ) , \Delta \right\}_{i=0,1} }

	\]

			\anupam{need to say in normal form part that can assume induction of this form}

	For simplicity we will assume $\Delta $ is empty, which we can always do by Prop.~\todo{DO THIS!}

		Now, by the inductive hypothesis, we have functions $h_i$ such that:

		\[

		\Wit{u , \vec u ; \vec x}{\Gamma, A(0)} (l , u , \vec u ; \vec x ,  \vec w)

		\quad \implies \quad

		\Wit{u , \vec u ; \vec x}{A(\succ i u)} (l , u , \vec u ; \vec x ,  h_i ((u , \vec u) \mode l ; \vec x \mode l , \vec w) )

		\]

	First let us define $ f$ as follows:

	\[

	\begin{array}{rcl}

	 f (0 , \vec u ; \vec x, \vec w,  w ) & \dfn &  w\\

	 f( \succ i u , \vec u ; \vec x , \vec w, w) & \dfn &

	 h_i (u , \vec u ; \vec x , \vec w , f(u , \vec u ; \vec x , \vec w , w ))

	\end{array}

	\]

	where $\vec w$ corresponds to $\Gamma $ and $w$ corresponds to $A(0)$.

	\anupam{Wait, should $\normal (t)$ have a witness? Also there is a problem like Patrick said for formulae like: $\forall x^\safe . \exists y^\safe. (\normal (z) \cor \cnot \normal (z))$, where $z$ is $y$ or otherwise.}

	Now we let $f^\pi (\vec u ; \vec x , \vec w) \dfn f(t(\vec u ; ) , \vec u ; \vec x , \vec w)$.

	\paragraph*{Cut}

	If it is a cut on an induction formula, which is safe, then it just corresponds to a safe composition since everything is substituted into a safe position.

	Otherwise it is a `raisecut':

	\[

	\vliinf{\rais\cut}{}{\normal (\vec u ) , \normal (\vec v) , \safe (\vec x) ,\Gamma \seqar \Delta }{ \normal (\vec u) \seqar \exists x^\safe  . A(x) }{ \normal (u)  , \normal (\vec v) , \safe (\vec x) , A(u), \Gamma \seqar \Delta }

	\]

	In this case we have functions $f(\vec u ; )$ and $\vec g (u, \vec v ; \vec x , w , \vec w )$, in which case we construct $\vec f^\pi$ as:

	\[

	\vec f^\pi ( \vec u , \vec v ; \vec x , \vec w )

	\quad \dfn \quad

	\vec g ( \beta (1 ; f(\vec u ;) ) , \vec v ; \vec x , \beta(0;f(\vec u ;)) , \vec w )

	\]

\end{proof}

We are now ready to prove the soundness theorem.

\begin{proof}

	[Proof of Thm.~\ref{thm:soundness} from Lemma~\ref{lem:proof-interp}]

	(watch out for dependence on $l$, try do without)

	Suppose $\arith^i \proves \forall \vec u^\normal . \exists x^\normal . A(\vec u ; x)$. Then by raising, inversion, free-variable normal forms, we have a proof of,

	\[

	\normal (\vec u ) \seqar \exists x^\normal . A(\vec u , x ;)

	\]

	whence, by Lemma~\ref{lem:proof-interp}, we have a $\mubci{i-1}$ function $f$ such that:

	\[

	\vec u \mode l = \vec a \mode l

	\quad \implies \quad

	\wit{\vec u ; }{A} ( l , \vec u , f(\vec u \mode l;) ) =1

	\]

	Now it suffices to choose an $l$ bigger that both all the $\vec u$ and $f(\vec u)$, which is a polynomial in $\vec u$ by the polymax bounding lemma.

\end{proof}