Laboratoire de l'Informatique et du Parallélisme » Linear Arithmetic

\section{An arithmetic for the polynomial hierarchy}\label{sect:arithmetic}

%Our base language is $\{ 0, \succ{} , + , \times, \smsh , |\cdot| , \leq \}$. 

Our base language consists of constant and function symbols $\{ 0, \succ{} , + , \times, \smsh , |\cdot|, \hlf{}.\}$ and predicate symbols 

 $\{\leq, \safe, \normal \}$. The function symbols are interpreted in the intuitive way, with $|x|$ denoting the length of $x$ seen as a binary string, and $x\smsh y$ denoting $2^{|x||y|}$, so a string of length $|x||y|+1$.

 We may write $\succ{0}(x)$ for $2\cdot x$, $\succ{1}(x)$ for $\succ{}(2\cdot x)$, and $\pred (x)$ for $\hlf{x}$, to better relate to the $\bc$ setting.

We consider formulas of classical first-order logic, over $\neg$, $\cand$, $\cor$, $\forall$, $\exists$, along with usual shorthands and abbreviations. 

%The formula $A \cimp B$ will be a notation for $\neg A \cor B$.

%We will also use as shorthand notations:

%$$ (s=t) = (s\leq t) \cand (t\leq s), \quad (s\neq t) = \neg(s=t).$$ 

\textit{Atomic formulas} formulas are of the form $s\leq t$, for terms $s,t$.

 We will assume, without loss of generality, that formulas are in \textit{De Morgan normal form}, that is to say that in formulas negation can only occur on atomic formulas, and that there is not any occurrence of a subformula of the form $\neg \neg A$.

 We write $\exists x^{N_i} . A$ or $\forall x^{N_i} . A$ for $\exists x . (N_i (x) \cand A)$ and $\forall x . (N_i (x) \cimp A)$ respectively. We refer to  $\exists x^{N_0}$,  $\forall x^{N_0}$ as \emph{safe} quantifiers.

 We also write $\exists x^\normal \leq |t| . A$ for $\exists x^\normal . ( x \leq |t| \cand A )$ and $\forall x^\normal \leq |t|. A $ for $\forall x^\normal. (x \leq |t| \cimp A )$. We refer to these as \emph{sharply bounded} quantifiers, as in bounded arithmetic.

The theories we introduce are directly inspired from bounded arithmetic, namely the theories $S^i_2$.

We include a similar set of axioms for direct comparison, although in our setting these are not minimal.

Indeed, $\#$ can be defined using induction in our setting.

The $\basic$ axioms of bounded arithmetic give the inductive definitions and interrelationships of the various function and predicate symbols.

It also states fundamental algebraic properties, e.g.\ $(0,\succ{ } )$ is a free algebra, and, for us, it will also give us certain `typing' information for our function symbols based on their $\bc$ specification, with safe inputs ranging over $\safe$ and normal ones over $\normal$.

Namely, in addition to usual axioms, our $\basic$ includes the following:\footnote{Later some of these will be redundant, for instance $\safe (u \times x) $ and $\safe (u \smsh v)$ are consequences of $\Sigma^\safe_i$-$\pind$, but $\safe (x + y)$ is not since both inputs are safe and so we cannot induct.}

\begin{enumerate}[(a)]

	\item $\forall u^\normal. \safe(u) $

	\item $\safe (0) $

	\item $\forall x^\safe . \safe (\succ{} x) $

	\item $\forall u^\safe .\safe(\hlf{u})$

	\item $\forall x^\safe, y^\safe . \safe(x+y)$

	\item $\forall u^\normal, x^\safe . \safe(u\times x) $

	\item $\forall u^\normal , v^\normal . \safe (u \smsh v)$

	\item $\forall u^\normal .\safe(|x|)$

\end{enumerate}

%\[

%\begin{array}{l}

%\forall u^\normal. \safe(u) \\

%\safe (0) \\

%\forall x^\safe . \safe (\succ{} x) \\

%\forall u^\safe .\safe(\hlf{u})

%\end{array}

%\qquad

%\begin{array}{l}

%\forall x^\safe, y^\safe . \safe(x+y)\\

%\forall u^\normal, x^\safe . \safe(u\times x) \\

%\forall u^\normal , v^\normal . \safe (u \smsh v)\\

%\forall u^\normal .\safe(|x|)

%\end{array}

%\]

Notice in particular that we have $\normal \subseteq \safe$.

%

Apart from these, the remaining $\basic$ axioms mimic those of Buss in \cite{Buss86book}:

\begin{enumerate}[(1)]

	\item $\forall x^{\safe}, y^{\safe}.  (y\leq x\cimp  y \leq \succ{} x) $

	\item $\forall x^{\safe}. x \neq \succ{} x$

	\item $\forall x^{\safe}.0 \leq x$

	\item $\forall x^{\safe}, y^{\safe}. ((x\leq y \cand x \neq y) \ciff \succ{} x \leq y) $

	\item $\forall x^{\safe}. (x\neq 0 \cimp \succ{0}x \neq 0)$

	\item $\forall x^{\safe}, y^{\safe}. (y\leq x \cor x \leq y)$

	\item $\forall x^{\safe}, y^{\safe}. ((x\leq y \cand y\leq x )\cimp x=y)$

	\item $\forall x^{\safe}, y^{\safe}, z^{\safe}. ((x\leq y \cand y\leq z) \cimp x\leq z)$

	\item $|0|=0$

	\item $\forall x^{\safe}, y^{\safe}.( x\neq 0 \cimp  (|\succ{0}x|=\succ{}( |x|) \cand |\succ{1}x|= \succ{}(|x|))) $

	\item $|\succ{}0|=\succ{} 0$

	\item $\forall x^{\safe}, y^{\safe}.   (x\leq y \cimp   |x|\leq  |y|)$

	\item $\forall x^{\normal}, y^{\normal}.    |x\smsh y|=\succ{}( |x|\cdot  |y|)$

	\item $\forall y^{\normal}.    0 \smsh y=\succ{} 0$

	\item $\forall x^{\normal}.    (x\neq 0 \cimp (1 \smsh(\succ{0}x)=\succ{0}(1\smsh x) \cand 1 \smsh(\succ{1}x)=\succ{0}(1\smsh x)))$

	\item $\forall x^{\normal}, y^{\normal}.    x \smsh y = y \smsh x$

	\item $\forall x^{\normal}, y^{\normal}, z^{\normal}. (   |x|= |y| \cimp x\smsh z = y\smsh z)$

	\item $\forall x^{\normal}, u^{\normal}, v^{\normal}, y^{\normal}.      (|x|= |u|+  |v| \cimp x\smsh y=(u\smsh y)\cdot (v\smsh y))$

	\item $\forall x^{\safe}, y^{\safe}.      x\leq x+y$

	\item $\forall x^{\safe}, y^{\safe}.    (  ( x\leq y \cand x\neq y) \cimp( \succ{}(\succ{0}x) \leq \succ{0}y \cand  \succ{}(\succ{0}x) \neq \succ{0}y))$

	\item $\forall x^{\safe}, y^{\safe}.     x+y=y+x$

	\item $\forall x^{\safe}.       x+0=x$

	\item $\forall x^{\safe}, y^{\safe}.       x+\succ{}y=\succ{}(x+y)$

	\item $\forall x^{\safe}, y^{\safe}, z^{\safe}.      (x+y)+z=x+(y+z)$

	\item $\forall x^{\safe}, y^{\safe}, z^{\safe}. (    x+y \leq x+z \ciff y\leq z)$

	\item $\forall x^{\safe}       0\cdot x =0$

	\item $\forall x^{\safe}, y^{\normal}.  x\cdot(\succ{}y)=(x\cdot y)+x$

	\item $\forall x^{\normal}, y^{\normal}. x\cdot y=y\cdot x$

	\item $\forall x^{\normal}, y^{\safe}, z^{\safe}.  x\cdot(y+z)=(x\cdot y)+(x\cdot z)$

	\item $\forall x^{\normal}, y^{\safe}, z^{\safe}.      (x\geq \succ{} 0 \cimp (x\cdot y \leq x\cdot z \ciff y\leq z))$

	\item $\forall x^{\normal}  .     (x\neq 0 \cimp  |x|=\succ{}(\hlf{x}))$

	\item $\forall x^{\safe}, y^{\safe}.   (  x= \hlf{y} \ciff (\succ{0}x=y \cor \succ{}(\succ{0}x)=y))$

\end{enumerate}

%$$

%%\begin{equation}

%\begin{array}{l}

%\forall x^{\safe}, y^{\safe}.  (y\leq x\cimp  y \leq \succ{} x) \\

%\forall x^{\safe}. x \neq \succ{} x\\

%\forall x^{\safe}.0 \leq x\\

%\forall x^{\safe}, y^{\safe}. ((x\leq y \cand x \neq y) \ciff \succ{} x \leq y) \\

%\forall x^{\safe}. (x\neq 0 \cimp \succ{0}x \neq 0)\\

%\forall x^{\safe}, y^{\safe}. (y\leq x \cor x \leq y)\\

%\forall x^{\safe}, y^{\safe}. ((x\leq y \cand y\leq x )\cimp x=y)\\

%\forall x^{\safe}, y^{\safe}, z^{\safe}. ((x\leq y \cand y\leq z) \cimp x\leq z)\\

%|0|=0\\

%\forall x^{\safe}, y^{\safe}.( x\neq 0 \cimp  (|\succ{0}x|=\succ{}( |x|) \cand |\succ{1}x|= \succ{}(|x|))) \\

%|\succ{}0|=\succ{} 0\\

%\forall x^{\safe}, y^{\safe}.   (x\leq y \cimp   |x|\leq  |y|)\\

%\forall x^{\normal}, y^{\normal}.    |x\smsh y|=\succ{}( |x|\cdot  |y|)\\

%\forall y^{\normal}.    0 \smsh y=\succ{} 0\\

%\forall x^{\normal}.    (x\neq 0 \cimp (1 \smsh(\succ{0}x)=\succ{0}(1\smsh x) \cand 1 \smsh(\succ{1}x)=\succ{0}(1\smsh x)))\\

%\forall x^{\normal}, y^{\normal}.    x \smsh y = y \smsh x\\

%\forall x^{\normal}, y^{\normal}, z^{\normal}. (   |x|= |y| \cimp x\smsh z = y\smsh z)\\

%\forall x^{\normal}, u^{\normal}, v^{\normal}, y^{\normal}.      (|x|= |u|+  |v| \cimp x\smsh y=(u\smsh y)\cdot (v\smsh y))\\

%\forall x^{\safe}, y^{\safe}.      x\leq x+y\\

%\forall x^{\safe}, y^{\safe}.    (  ( x\leq y \cand x\neq y) \cimp( \succ{}(\succ{0}x) \leq \succ{0}y \cand  \succ{}(\succ{0}x) \neq \succ{0}y))\\

%\forall x^{\safe}, y^{\safe}.     x+y=y+x\\

%\forall x^{\safe}.       x+0=x\\

%\forall x^{\safe}, y^{\safe}.       x+\succ{}y=\succ{}(x+y)\\

%\forall x^{\safe}, y^{\safe}, z^{\safe}.      (x+y)+z=x+(y+z)\\

%\forall x^{\safe}, y^{\safe}, z^{\safe}. (    x+y \leq x+z \ciff y\leq z)\\

%\forall x^{\safe}       0\cdot x =0\\

%\forall x^{\safe}, y^{\normal}.  x\cdot(\succ{}y)=(x\cdot y)+x\\

%%\text{\anupam{check above normal/safe! Pretty sure should be other way around.}}\\

%\forall x^{\normal}, y^{\normal}. x\cdot y=y\cdot x\\

%\forall x^{\normal}, y^{\safe}, z^{\safe}.  x\cdot(y+z)=(x\cdot y)+(x\cdot z)\\

%\forall x^{\normal}, y^{\safe}, z^{\safe}.      (x\geq \succ{} 0 \cimp (x\cdot y \leq x\cdot z \ciff y\leq z))\\

%\forall x^{\normal}  .     (x\neq 0 \cimp  |x|=\succ{}(\hlf{x}))\\

%\forall x^{\safe}, y^{\safe}.   (  x= \hlf{y} \ciff (\succ{0}x=y \cor \succ{}(\succ{0}x)=y))

%\end{array}

%%\end{equation}

%$$

%

%\begin{definition}

%	[Basic theory]

%	The theory $\basic$ consists of the axioms from Appendix \ref{appendix:arithmetic}.

%	\end{definition}

%Notation: if $\vec t=t_0,\dots, t_k$, we will denote as $\safe(\vec t)$ the sequence of formulas $\safe(t_0),\dots, \safe(t_k)$. Similarly for $\normal(\vec t)$.

%\begin{definition}

%[Derived functions and notations]

%We write $1,2,3,\dots$ for the terms $\succ{} 0, \succ{} \succ{} 0, \succ{} \succ{} \succ{} 0 \dots$, and frequently omit the $\times$ symbol.

%We define the functions $\succ 0 x , \succ 1 x$ as $2 x$ and $2x +1$ respectively.

%

%Need $bit$, $\beta$ , $\pair{}{}{}$.

%\end{definition}

%

%(Here use a variation of S12 with sharply bounded quantifiers and safe quantifiers)

%

%Use base theory + sharply bounded quantifiers.

In addition to these axioms, our theories will contain forms of induction, defined below.

%\anupam{Collection principles for prenexing? Otherwise need to add closure under sharply bounded quantifiers.}

\begin{definition}

[Polynomial induction]

\label{def:polynomialinduction}

The \emph{polynomial induction} axiom schema, $\pind$, consists of the following axioms, for each formula $A(x)$:

\[

\left(

A(0) 

\cand (\forall x^{\normal} . ( A(x) \cimp A(\succ{0} x) ) )

\cand  (\forall x^{\normal} . ( A(x) \cimp A(\succ{1} x) ) ) 

\right)

\cimp  \forall x^{\normal} . A(x)

\]

For a class $\Xi$ of formulae, $\cax{\Xi}{\pind}$ denotes the set of $\pind$ axioms where $A(x) \in \Xi$. 

%We write $I\Xi$ to denote the theory consisting of $\basic$ and $\cax{\Xi}{\ind}$.

\end{definition}

We will introduce in fact a hierarchy of theories calibrated by the complexity of induction formulae, so we now introduce the appropriate quantifier hierarchy.

\begin{definition}

	[Quantifier hierarchy]

	$\Sigma^\safe_0 = \Pi^\safe_0 $ is the set of formulae whose only quantifiers are sharply bounded and where $\safe , \normal$ do not occur free.

	We define $\Sigma^\safe_{i+1}$ as the closure of $\Pi^\safe_i $ under $\cor, \cand $, safe existentials and sharply bounded quantifiers.

	We define $\Pi^\safe_{i+1}$ as the closure of $\Sigma^\safe_i $ under $\cor, \cand $, safe universals and sharply bounded quantifiers.

\end{definition}

Notice that the criterion that $\safe$ does not occur free is not a real restriction, since we can write $\safe (x)$ as $\exists y^\safe . y=x$.

The criterion is purely to give an appropriate definition of the hierarchy above.

\begin{definition}\label{def:ariththeory}

Define the theory $\arith^i$ consisting of the $\basic$ axioms, $\cpind{\Sigma^\safe_i } $,

%\begin{itemize}

%	\item $\basic$;

%	\item $\cpind{\Sigma^\safe_i } $:

%\end{itemize}

and a particular inference rule, called $\rais$, for closed formulas $\forall \vec x. \exists y. A$:

\[

 \dfrac{\proves \forall \vec x^\normal . \exists  y^\safe .  A }{ \proves \forall \vec x^\normal .\exists y^\normal . A}

\]

We will write $\arith^i \proves A$ if $A$ is a logical consequence of the axioms and rules of $\arith^i$, in the usual way.

\end{definition}

%\patrick{I think in the definition of  $\arith^i$ we should impose that the formulas considered are \textit{integer positive}, that is to say that the only negative occurrences of atoms $\safe(t)$, $\normal(t)$ are those occurring in $\forall^{\safe}$ and $\forall^{\normal}$.  Indeed I don't think this can be just proved to be a consequence of a kind of 'normal form' of proofs, as we had discussed (see sect 4.4)}

%

%\anupam{In induction,for inductive cases, need $u\neq 0$ for $\succ 0$ case.}

\begin{remark}

Notice that $\rais$ looks similar to the $K$ rule from the calculus for the modal logic $S4$ (which subsumes necessitation), and indeed we believe there is a way to present these results in such a framework.

However, the proof theory of first-order modal logics, in particular free-cut elimination results used for witnessing, is not sufficiently developed to carry out such an exposition.	

	\end{remark}

\begin{example}

	[Some basic theorems]

	We give proofs of the following, that are sometimes included as basic axioms, in $\arith^1$:

	\[

	\begin{array}{l}

	\forall x^\safe . 0 \neq \succ{} (x) \\

	\forall x^\safe , y^\safe . (\succ{} x = \succ{} y \cimp x = y) \\

	\forall x^\safe . (x = 0 \cor \exists y^\safe.\  x = \succ{} y   )  \\

	\forall u^\normal ,x^\safe . u \succ{} x = u + ux

	\end{array}

	\]

	\todo{Proof: Patrick? The final two should require PIND.}

\end{example}

It is often useful for us to work with \emph{length-induction}, which is equivalent to polynomial induction and well known from bounded arithmetic:

\begin{proposition}

	[Length induction]

	The axiom schema of formulae,

	\begin{equation}

	\label{eqn:lind}

	( A(0) \cand \forall x^\normal . (A(x) \cimp A(\succ{} x)) ) \cimp \forall x^\safe. A(|x|)

	\end{equation}

	for formulae $A \in \Sigma^\safe_i$

	is equivalent to $\cpind{\Sigma^\safe_i}$.

\end{proposition}

\begin{proof}

	Suppose we have $A(0)$ and $A(a) \cimp A(\succ{} a)$ for each $a \in \normal$.

	Then, by $\basic$, we have that $A(|a|) \cimp A(|2a|)$ and $A(|a|) \cimp A(|2a+1|)$ for each $a \in \normal$, whence we may conclude $\forall x. A(|x|)$ by polynomial induction on $A(|x|)$.

\end{proof}

Let us refer to the axiom schema in \eqref{eqn:lind} as $\clind{\Xi}$, when $A \in \Xi$.

We will freely use this in place of polynomial induction whenever it is convenient.

\subsection{Graphs of some basic functions}\label{sect:graphsbasicfunctions}

We say that a function $f$ is \emph{represented} by a formula $A_f$ in a theory if we can prove a formula of the form $\forall \vec u^{\normal} , \forall  \vec x^{\safe}, \exists! y^{\safe}. A_f (\vec u , \vec x , y)$, such that $\Nat \models A_f (\vec u , \vec x , f(\vec u , \vec x))$. The variables $\vec u$ and $\vec x$ can respectively be thought of as normal and safe arguments of $f$, and $y$ is the output of $f(\vec u; \vec x)$.

We sometimes explicitly delimit variables as such when it is helpful, writing $A_f (\vec u ; \vec x , y)$.

Let us give a few examples for basic functions representable in $\arith^1$, wherein proofs of totality are routine:

\begin{itemize}

\item Projection $\pi_k^{m,n}$: $\forall u_1^{\normal} , \dots, u_m^{\normal} ,  \forall x_{m+1}^{\safe} , \dots, x^{\safe} _{m+n}, \exists y^{\safe} . y=x_k$ if $k\geq m+1$ (resp. $u_k$ if $k\leq m$).

%\item Successor $\succ{}$: $\forall x^{\safe} , \exists^{\safe} y. y=x+1.$. The formulas for the binary successors $\succ{0}$, $\succ{1}$ and the constant functions $\epsilon^k$ are defined in a similar way.

%\item Predecessor $p$:   $\forall^{\safe} x, \exists^{\safe} y. (x=\succ{0} y \cor x=\succ{1} y \cor (x=\epsilon \cand y= \epsilon)) .$

\item Conditional $C$: 

$$

\forall x^{\safe} ,  y_0^{\safe}, y_1^{\safe}, \exists y^{\safe}. 

\left( 

\begin{array}{rl}

&\exists z^{\safe}.x=\succ{0}z \cand y=y_0 \\

\cor&  \exists z^{\safe}.x=\succ{1}z \cand y=y_1

\end{array}

\right)

$$

%$$\begin{array}{ll}

%\forall x^{\safe} ,  y_0^{\safe}, y_1^{\safe}, \exists y^{\safe}. & ((x=0)\cand (y=y_0)\\

%                                                                                                   & \cor( \exists z^{\safe}.(x=\succ{0}z) \cand (y=y_0))\\

%                                                                                                   & \cor( \exists z^{\safe}.(x=\succ{1}z) \cand (y=y_1)))\

%\end{array}

%$$

%\item Addition:

%$\forall^{\safe} x, y,  \exists^{\safe} z. z=x+y$. 

\item Prefix:

  This is a predicate that we will need for technical reasons, in the completeness proof. The predicate $\pref(k,x,y)$ holds if the prefix of string $x$

  of length $k$ is $y$. It is defined as:

  $$\begin{array}{ll}

\exists z^{\safe} , \exists l^{\normal} \leq |x|. & (k+l= |x|\\

                                                                                                   & \cand \; |z|=l\\

                                                                                                   & \cand \; x=y\smsh(2,l)+z)

                                                                                                   \end{array}

$$

\item The following predicates will also be needed in proofs:

$\zerobit(x,k)$ (resp. $\onebit(x,k)$) holds iff the $k$th bit of $x$ is 0 (resp. 1). The predicate $\zerobit(x,k)$  for instance can be

defined by:

$$ \exists y^{\safe} .(\pref(k,x,y) \cand \exists z^{\safe} . y=\succ{0}z).$$

\end{itemize}

\subsection{A sequent calculus presentation}

\begin{figure}

	\[

	\small

	\hspace{-4em}

	\begin{array}{cccc}

	%\vlinf{\lefrul{\bot}}{}{p, \lnot{p} \seqar }{}

	%& \vlinf{\id}{}{p \seqar p}{}

	%& \vlinf{\rigrul{\bot}}{}{\seqar p, \lnot{p}}{}

	%& \vliinf{\cut}{}{\Gamma, \Sigma \seqar \Delta , \Pi}{ \Gamma \seqar \Delta, A }{\Sigma, A \seqar \Pi}

	\vlinf{id}{}{\Gamma, p \seqar p, \Delta }{}

	& \vliinf{cut}{}{\Gamma, \Sigma \seqar \Delta, \Pi }{ \Gamma \seqar \Delta, A }{\Sigma, A \seqar \Pi}

	&	\vlinf{\lefrul{\neg}}{}{\Gamma, \neg A \seqar \Delta}{\Gamma \seqar A, \Delta}

	&

	\vlinf{\rigrul{\neg}}{}{\Gamma, \seqar \neg A, \Delta}{\Gamma, A \seqar  \Delta}

		\\

		\noalign{\bigskip}

		%\text{Structural:} & & & \\

		%\noalign{\bigskip}

		\vlinf{\lefrul{\wk}}{}{\Gamma, A \seqar \Delta}{\Gamma \seqar \Delta}

		&

		\vlinf{\lefrul{\cntr}}{}{\Gamma, A \seqar \Delta}{\Gamma, A, A \seqar \Delta}

		&

		\vlinf{\rigrul{\wk}}{}{\Gamma \seqar \Delta, A }{\Gamma \seqar \Delta}

		&

		\vlinf{\rigrul{\cntr}}{}{\Gamma \seqar \Delta, A}{\Gamma \seqar \Delta, A, A}

		\\

		\noalign{\bigskip}

		\vlinf{\lefrul{\exists}}{}{\Gamma, \exists x . A(x) \seqar \Delta}{\Gamma, A(a) \seqar \Delta}

		&

		\vlinf{\lefrul{\forall}}{}{\Gamma, \forall x. A(x) \seqar \Delta}{\Gamma, A(t) \seqar \Delta}

		&

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

		&

		\vlinf{\rigrul{\forall}}{}{\Gamma \seqar \Delta, \forall x . A(x)}{ \Gamma \seqar \Delta, A(a) }

	\\

	\noalign{\bigskip}

	%\noalign{\bigskip}

	\vliinf{\lefrul{\cor}}{}{\Gamma, \Sigma, A \cor B \seqar \Delta, \Pi}{\Gamma , A \seqar \Delta}{\Sigma, B \seqar \Pi}

	&

	\vlinf{\lefrul{\cand}}{}{\Gamma, A\cand B \seqar \Delta}{\Gamma, A , B \seqar \Delta}

	&

	%\vlinf{\lefrul{\laand}}{}{\Gamma, A\laand B \seqar \Delta}{\Gamma, B \seqar \Delta}

	%\quad

	\vlinf{\rigrul{\cor}}{}{\Gamma \seqar \Delta, A \cor B}{\Gamma \seqar \Delta, A, B}

	&

	%\vlinf{\rigrul{\laor}}{}{\Gamma \seqar \Delta, A\laor B}{\Gamma \seqar \Delta, B}

	%\quad

	\vliinf{\rigrul{\cand}}{}{\Gamma, \Sigma \seqar \Delta, \Pi, A \cand B }{\Gamma \seqar \Delta, A}{\Sigma \seqar \Pi, B}

	%\noalign{\bigskip}

	% \vliinf{mix}{}{\Gamma, \Sigma \seqar \Delta , \Pi}{ \Gamma \seqar \Delta}{\Sigma \seqar \Pi} &&&

	\end{array}

	\]

	\caption{Sequent calculus rules, where $p$ is atomic, $i \in \{ 1,2 \}$, $t$ is a term and the eigenvariable $a$ does not occur free in $\Gamma$ or $\Delta$.}\label{fig:sequentcalculus}

\end{figure}

In order to carry out witness extraction for proofs of $\arith^i$, it will be useful to work with a \emph{sequent calculus} representation of proofs.

Such systems exhibit strong normal forms, notably `free-cut free' proofs, and so are widely used for the `witness function method' for extracting programs from proofs \cite{Buss86book,Buss98:intro-proof-theory}.

We state the required technical material here only briefly, due to space constraints.

A \emph{sequent} is an expression $\Gamma \seqar \Delta$ where $\Gamma$ and $\Delta$ are multisets of formulas. 

The inference rules of the sequent calculus $\LK$ are displayed in Fig.~\ref{fig:sequentcalculus}.

Of course, we have the following:

\begin{proposition}

	$A$ is a first-order theorem if and only if there is an $\LK$ proof of $\seqar A$.

\end{proposition}

%We consider \emph{systems} of `nonlogical' rules extending this sequent calculus, which we write as follows,

% \[

% \begin{array}{cc}

%    \vlinf{(R)}{}{ \Gamma , \Sigma' \seqar \Delta' , \Pi  }{ \{\Gamma , \Sigma_i \seqar \Delta_i , \Pi \}_{i \in I} }

%\end{array}

%\]

% where, in each rule $(R)$, $I$ is a finite possibly empty set (indicating the number of premises) and we assume the following conditions and terminology:

% \begin{enumerate}

% \item In $(R)$ the formulas of $\Sigma', \Delta'$  are called \textit{principal}, those of $\Sigma_i, \Delta_i$ are called \textit{active}, and those of   

%$ \Gamma,  \Pi$ are called \textit{context formulas}. 

%\item Each rule $(R)$ comes with a list $a_1$, \dots, $a_k$ of eigenvariables such that each $a_j$ appears in exactly one $\Sigma_i, \Delta_i$ (so in some active formulas of exactly one premise)  and does not appear in  $\Sigma', \Delta'$ or $ \Gamma,  \Pi$.

%    \item A system $\mathcal{S}$ of rules must be closed under substitutions of free variables by terms (where these substitutions do not contain the eigenvariables $a_j$ in their domain or codomain).  

%   \end{enumerate}

% 

%%The distinction between modal and nonmodal formulae in $(R)$ induces condition 1

% Conditions 2 and 3 are standard requirements for nonlogical rules, independently of the logical setting, cf.\ \cite{Beckmann11}. Condition 2 reflects the intuitive idea that, in our nonlogical rules, we often need a notion of \textit{bound} variables in the active formulas (typically for induction rules), for which we rely on eigenvariables. Condition 3 is needed for our proof system to admit elimination of cuts on quantified formulas.

%

%%\begin{definition}

%%[Polynomial induction]

%%The \emph{polynomial induction} axiom schema, $\pind$, consists of the following axioms,

%%\[

%%A(0) 

%%\cimp (\forall x^{\normal} . ( A(x) \cimp A(\succ{0} x) ) )

%%\cimp  (\forall x^{\normal} . ( A(x) \cimp A(\succ{1} x) ) ) 

%%\cimp  \forall x^{\normal} . A(x)

%%\]

%%for each formula $A(x)$.

%%

%%For a class $\Xi$ of formulae, $\cax{\Xi}{\pind}$ denotes the set of induction axioms when $A(x) \in \Xi$. 

%%

%%We write $I\Xi$ to denote the theory consisting of $\basic$ and $\cax{\Xi}{\ind}$.

%%\end{definition}

%

%As an example any axiom can be represented by such a nonlogical rule $(R)$, with no premise ($I=\emptyset$), $\Delta'$ equal to the axiom and $\Gamma=\Sigma'=\Pi$.

We extend this purely logical calculus with certain non-logical rules and initial sequents corresponding to our theories $\arith^i$.

 For instance the axiom $\pind$ of Dfn.~\ref{def:polynomialinduction} is represented by the following rule:

\begin{equation}

\label{eqn:ind-rule}

\small

\vliinf{\pind}{}{ \normal(t) , \Gamma , A(0) \seqar A(t), \Delta }{ \normal(a) , \Gamma, A(a) \seqar A(\succ{0} a) , \Delta }{ \normal(a) , \Gamma, A(a) \seqar A(\succ{1} a) , \Delta  }

\end{equation}

where $t$ varies over terms and the eigenvariable $a$ does not occur in the lower sequent.

%

Similarly the $\rais$ inference rule of Dfn.~\ref{def:ariththeory} is represented by the nonlogical rule,

 \[

 \begin{array}{cc}

    \vlinf{\rais}{}{  \normal(t_1), \dots, \normal(t_k) \seqar  \exists  y^\normal .  A }{  \normal(t_1), \dots, \normal(t_k) \seqar \exists  y^\safe .  A}

\end{array}

\]

%

%\patrick{In fact, I think we rather need the following nonlogical rule, which implies the previous one but is I guess more general:

%\[

% \begin{array}{cc}

%    \vlinf{\rais}{}{  \normal(t_1), \dots, \normal(t_k) \seqar  \normal(t) }{  \normal(t_1), \dots, \normal(t_k) \seqar \safe(t)}

%\end{array}

%\]

%}

%

$\basic$ axioms are represented by designated initial sequents.

For instance here are some initial sequents corresponding to some of the $\basic$ axioms:

\[

\small

\begin{array}{l}

\begin{array}{cccc}

\vlinf{}{}{\seqar \safe (0)}{}&

\vlinf{}{}{\safe(t) \seqar \safe(\succ{} t)}{}&

\vlinf{}{}{ \safe (t)   \seqar 0 \neq \succ{} t}{} &

\vlinf{}{}{\safe (s) , \safe (t)  , \succ{} s = \succ{} t\seqar s = t }{}\\

\end{array}

\\

\vlinf{}{}{\safe (t) \seqar t = 0 \cor \exists y^\safe . t = \succ{} y  }{}

\qquad

\vlinf{}{}{\safe(s), \safe(t) \seqar \safe(s+t) }{}\\

\vlinf{}{}{\normal (s), \safe(t) \seqar \safe(s \times t)  }{}

\qquad

\vlinf{}{}{\normal (s), \normal(t) \seqar \safe(s \smsh t)  }{}\\

\vlinf{}{}{\normal(t) \seqar \safe(t)  }{}

\end{array}

\]

The sequent system for $\arith^i$ extends $\LK$ by the $\basic$,  $\cpind{\Sigma^\safe_i } $ and $\rais$ rules.

 Naturally, by completeness, we have that $\arith^i \proves A$ if and only if there is a sequent proof of $\seqar A$ in the corresponding system.

 In fact, by \emph{free-cut elimination} results \cite{Takeuti87,Cook:2010:LFP:1734064} we may actually say something much stronger.

 Let us say that a sorting $(\vec u ; \vec x)$ of the variables $\vec u , \vec x$ is \emph{compatible} with a formula $A$ if each variable of $\vec x$ occurs hereditarily safe with respect to the $\bc$-typing of terms, i.e.\ never under $\smsh, |\cdot|$ and to the right of $\times$.

\begin{theorem}

	[Typed variable normal form]

	\label{thm:normal-form}

	If $\arith^i\proves  A$ then there is a $\arith^i$ sequent proof $\pi$ of $A$ such that each line has the form:

	\[

	\normal(\vec u), \safe (\vec x), \Gamma \seqar \Delta

	\]

	where $\Gamma \seqar \Delta$ contains only $\Sigma^\safe_i$ formulae for which the sorting $(\vec u ;\vec x)$ is compatible.

\end{theorem}

Strictly speaking, we must alter some of the sequent rules a little to arrive at this normal form. For instance the $\pind$ rule would have $\normal(\vec u)$ in its lower sequent rather than $\normal (t(\vec u))$. The latter is a consequence of the former already in $\basic$.

The proof of this result also relies on a heavy use of the structural rules, contraction and weakening, to ensure that we always have a complete and compatible sorting of variables on the LHS of a sequent. This is similar to what is done in \cite{OstrinWainer05} where they use a $G3$ style calculus to manage such structural manipulations.

As we mentioned, the fact that only $\Sigma^\safe_i$ formulae occur is due to the free-cut elimination result for first-order calculi \cite{Takeuti87,Cook:2010:LFP:1734064}, which gives a form of proof where every $\cut$ step has one of its cut formulae `immediately' below a non-logical step. Again, we have to adapt the $\rais$ rule a little to achieve our result, due to the fact that it has a $\exists x^\normal$ in its lower sequent. For this we consider a merge of $\rais$ and $\cut$, which allows us to directly cut the upper sequent of $\rais$ against a sequent of the form $\normal(u), A(u), \Gamma \seqar \Delta$.

Finally, as is usual in bounded arithmetic, we use distinguished rules for our relativised quantifiers \cite{Buss86book}, although we use ones that satisfy the aforementioned constraints. For instance, we include the following rules, from which the remaining ones are similar:

\[

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

\quad

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

\]

\[

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

\]

with the usual side conditions and where, in $\rigrul{\exists}$, $(\vec u ; \vec x)$ is compatible with $t$.