Presburger arithmetic

Presburger arithmetic is the first-order theory of the natural numbers with addition, named in honor of Mojżesz Presburger, who introduced it in 1929. The signature of Presburger arithmetic contains only the addition operation and equality, omitting the multiplication operation entirely. The theory is computably axiomatizable; the axioms include a schema of induction.

Presburger arithmetic is much weaker than Peano arithmetic, which includes both addition and multiplication operations. Unlike Peano arithmetic, Presburger arithmetic is a decidable theory. This means it is possible to algorithmically determine, for any sentence in the language of Presburger arithmetic, whether that sentence is provable from the axioms of Presburger arithmetic. The asymptotic running-time computational complexity of this algorithm is at least doubly exponential, however, as shown by Fischer & Rabin (1974).

Overview

The language of Presburger arithmetic contains constants 0 and 1 and a binary function +, interpreted as addition.

In this language, the axioms of Presburger arithmetic are the universal closures of the following:

1. ¬(0 = x + 1)
2. x + 1 = y + 1 → x = y
3. x + 0 = x
4. x + (y + 1) = (x + y) + 1
5. Let P(x) be a first-order formula in the language of Presburger arithmetic with a free variable x (and possibly other free variables). Then the following formula is an axiom:
   (P(0) ∧ ∀x(P(x) → P(x + 1))) → ∀y P(y).

(5) is an axiom schema of induction, representing infinitely many axioms. These cannot be replaced by any finite number of axioms, that is, Presburger arithmetic is not finitely axiomatizable in first-order logic.

Presburger arithmetic can be viewed as a first-order theory with equality containing precisely all consequences of the above axioms. Alternatively, it can be defined as the set of those sentences that are true in the intended interpretation: the structure of non-negative integers with constants 0, 1, and the addition of non-negative integers.

Presburger arithmetic is designed to be complete and decidable. Therefore, it cannot formalize concepts such as divisibility or primality, or, more generally, any number concept leading to multiplication of variables. However, it can formulate individual instances of divisibility; for example, it proves "for all x, there exists y : (y + y = x) ∨ (y + y + 1 = x)". This states that every number is either even or odd.

Properties

Presburger (1929) proved Presburger arithmetic to be:

• consistent: There is no statement in Presburger arithmetic that can be deduced from the axioms such that its negation can also be deduced.
• complete: For each statement in the language of Presburger arithmetic, either it is possible to deduce it from the axioms or it is possible to deduce its negation.
• decidable: There exists an algorithm that decides whether any given statement in Presburger arithmetic is a theorem or a nontheorem.

The decidability of Presburger arithmetic can be shown using quantifier elimination, supplemented by reasoning about arithmetical congruence. The steps used to justify a quantifier elimination algorithm can be used to define computable axiomatizations that do not necessarily contain the axiom schema of induction.

In contrast, Peano arithmetic, which is Presburger arithmetic augmented with multiplication, is not decidable, as proved by Church alongside the negative answer to the Entscheidungsproblem. By Gödel's incompleteness theorem, Peano arithmetic is incomplete and its consistency is not internally provable (but see Gentzen's consistency proof).

Computational complexity

The decision problem for Presburger arithmetic is an interesting example in computational complexity theory and computation. Let n be the length of a statement in Presburger arithmetic. Then Fischer & Rabin (1974) proved that, in the worst case, the proof of the statement in first-order logic has length at least $2^{2^{cn}}$, for some constant c>0. Hence, their decision algorithm for Presburger arithmetic has runtime at least exponential. Fischer and Rabin also proved that for any reasonable axiomatization (defined precisely in their paper), there exist theorems of length n that have doubly exponential length proofs. Intuitively, this suggests there are computational limits on what can be proven by computer programs. Fischer and Rabin's work also implies that Presburger arithmetic can be used to define formulas that correctly calculate any algorithm as long as the inputs are less than relatively large bounds. The bounds can be increased, but only by using new formulas. On the other hand, a triply exponential upper bound on a decision procedure for Presburger arithmetic was proved by Oppen (1978).

A more tight complexity bound was shown using alternating complexity classes by Berman (1980). The set of true statements in Presburger arithmetic (PA) is shown complete for TimeAlternations(2^2nO(1), n). Thus, its complexity is between double exponential nondeterministic time (2-NEXP) and double exponential space (2-EXPSPACE). Completeness is under polynomial time many-to-one reductions. (Also, note that while Presburger arithmetic is commonly abbreviated PA, in mathematics in general PA usually means Peano arithmetic.)

For a more fine-grained result, let PA(i) be the set of true Σ_i PA statements, and PA(i, j) the set of true Σ_i PA statements with each quantifier block limited to j variables. '<' is considered to be quantifier-free; here, bounded quantifiers are counted as quantifiers.
PA(1, j) is in P, while PA(1) is NP-complete.
For i > 0 and j > 2, PA(i + 1, j) is Σ_i^P-complete. The hardness result only needs j>2 (as opposed to j=1) in the last quantifier block.
For i>0, PA(i+1) is Σ_i^EXP-complete.

Short $\Sigma _{n}$ Presburger Arithmetic ($n>2$) is $\Sigma _{n-2}^{P}$ complete (and thus NP complete for $n=3$). Here, 'short' requires bounded (i.e. $O(1)$) sentence size except that integer constants are unbounded (but their number of bits in binary counts against input size). Also, $\Sigma _{2}$ two variable PA (without the restriction of being 'short') is NP-complete. Short $\Pi _{2}$ (and thus $\Sigma _{2}$) PA is in P, and this extends to fixed-dimensional parametric integer linear programming.

Applications

Because Presburger arithmetic is decidable, automatic theorem provers for Presburger arithmetic exist. For example, the Coq proof assistant system features the tactic omega for Presburger arithmetic and the Isabelle proof assistant contains a verified quantifier elimination procedure by Nipkow (2010). The double exponential complexity of the theory makes it infeasible to use the theorem provers on complicated formulas, but this behavior occurs only in the presence of nested quantifiers: Nelson & Oppen (1978) describe an automatic theorem prover that uses the simplex algorithm on an extended Presburger arithmetic without nested quantifiers to prove some of the instances of quantifier-free Presburger arithmetic formulas. More recent satisfiability modulo theories solvers use complete integer programming techniques to handle quantifier-free fragment of Presburger arithmetic theory.

Presburger arithmetic can be extended to include multiplication by constants, since multiplication is repeated addition. Most array subscript calculations then fall within the region of decidable problems. This approach is the basis of at least five proof-of-correctness systems for computer programs, beginning with the Stanford Pascal Verifier in the late 1970s and continuing through to Microsoft's Spec# system of 2005.

Presburger-definable integer relation

Some properties are now given about integer relations definable in Presburger Arithmetic. For the sake of simplicity, all relations considered in this section are over non-negative integers.

A relation is Presburger-definable if and only if it is a semilinear set.

A unary integer relation $R$, that is, a set of non-negative integers, is Presburger-definable if and only if it is ultimately periodic. That is, if there exists a threshold $t\in \mathbb {N}$ and a positive period $p\in \mathbb {N} ^{>0}$ such that, for all integer $n$ such that $|n|\geq t$, $n\in R$ if and only if $n+p\in R$.

By the Cobham–Semenov theorem, a relation is Presburger-definable if and only if it is definable in Büchi arithmetic of base $k$ for all $k\geq 2$. A relation definable in Büchi arithmetic of base $k$ and $k'$ for $k$ and $k'$ being multiplicatively independent integers is Presburger definable.

An integer relation $R$ is Presburger-definable if and only if all sets of integers that are definable in first-order logic with addition and $R$ (that is, Presburger arithmetic plus a predicate for $R$) are Presburger-definable. Equivalently, for each relation $R$ that is not Presburger-definable, there exists a first-order formula with addition and $R$ that defines a set of integers that is not definable using only addition.

Muchnik's characterization

Presburger-definable relations admit another characterization: by Muchnik's theorem. It is more complicated to state, but led to the proof of the two former characterizations. Before Muchnik's theorem can be stated, some additional definitions must be introduced.

Let $R\subseteq \mathbb {N} ^{d}$ be a set, the section $x_{i}=j$ of $R$, for $i<d$ and $j\in \mathbb {N}$ is defined as

$\left\{(x_{0},\ldots ,x_{i-1},x_{i+1},\ldots ,x_{d-1})\in \mathbb {N} ^{d-1}\mid (x_{0},\ldots ,x_{i-1},j,x_{i+1},\ldots ,x_{d-1})\in R\right\}.$

Given two sets $R,S\subseteq \mathbb {N} ^{d}$ and a $d$-tuple of integers $(p_{0},\ldots ,p_{d-1})\in \mathbb {N} ^{d}$, the set $R$ is called $(p_{0},\dots ,p_{d-1})$-periodic in $S$ if, for all $(x_{0},\dots ,x_{d-1})\in S$ such that $(x_{0}+p_{0},\dots ,x_{d-1}+p_{d-1})\in S,$ then $(x_{0},\ldots ,x_{d-1})\in R$ if and only if $(x_{0}+p_{0},\dots ,x_{d-1}+p_{d-1})\in R$. For $s\in \mathbb {N}$, the set $R$ is said to be $s$-periodic in $S$ if it is $(p_{0},\ldots ,p_{d-1})$-periodic for some $(p_{0},\dots ,p_{d-1})\in \mathbb {Z} ^{d}$ such that

$\sum _{i=0}^{d-1}|p_{i}|<s.$

Finally, for $k,x_{0},\dots ,x_{d-1}\in \mathbb {N}$ let

$C(k,(x_{0},\ldots ,x_{d-1}))=\left\{(x_{0}+c_{0},\dots ,x_{d-1}+c_{d-1})\mid 0\leq c_{i}<k\right\}$

denote the cube of size $k$ whose lesser corner is $(x_{0},\dots ,x_{d-1})$.

Muchnik's Theorem — $R\subseteq \mathbb {N} ^{d}$ is Presburger-definable if and only if:

• if $d>1$ then all sections of $R$ are Presburger-definable and
• there exists $s\in \mathbb {N}$ such that, for every $k\in \mathbb {N}$, there exists $t\in \mathbb {N}$ such that for all $(x_{0},\dots ,x_{d-1})\in \mathbb {N} ^{d}$ with
  $$\sum _{i=0}^{d-1}x_{i}>t,$$
  $R$ is $s$-periodic in $C(k,(x_{0},\dots ,x_{d-1}))$.

Intuitively, the integer $s$ represents the length of a shift, the integer $k$ is the size of the cubes and $t$ is the threshold before the periodicity. This result remains true when the condition

$\sum _{i=0}^{d-1}x_{i}>t$

is replaced either by $\min(x_{0},\ldots ,x_{d-1})>t$ or by $\max(x_{0},\ldots ,x_{d-1})>t$.

This characterization led to the so-called "definable criterion for definability in Presburger arithmetic", that is: there exists a first-order formula with addition and a $d$-ary predicate $R$ that holds if and only if $R$ is interpreted by a Presburger-definable relation. Muchnik's theorem also allows one to prove that it is decidable whether an automatic sequence accepts a Presburger-definable set.

See also

• Robinson arithmetic
• Skolem arithmetic

Bibliography

• Berman, L. (1980). "The Complexity of Logical Theories". Theoretical Computer Science. 11 (1): 71–77. doi:10.1016/0304-3975(80)90037-7.

• Büchi, J. Richard (1962). "On a Decision Method in Restricted Second Order Arithmetic". In Nagel, Ernest; Suppes, Patrick; Tarski, Alfred (eds.). Logic, methodology and philosophy of science. Proceedings of the International Congress for Logic. Stanford: Stanford University Press. pp. 1–11.

• Cobham, Alan (1969). "On the base-dependence of sets of numbers recognizable by finite automata". Math. Systems Theory. 3 (2): 186–192. doi:10.1007/BF01746527. S2CID 19792434.

• Cooper, D.C. (1972). Meltzer, B.; Michie, D. (eds.). "Theorem Proving in Arithmetic without Multiplication" (PDF). Machine Intelligence. 7. Edinburgh University Press: 91–99.

• Eisenbrand, Friedrich; Shmonin, Gennady (2008). "Parametric Integer Programming in Fixed Dimension". Mathematics of Operations Research. 33 (4): 839–850. arXiv:0801.4336. doi:10.1287/moor.1080.0320. S2CID 15698556.

• Enderton, Herbert (2001). A mathematical introduction to logic (2nd ed.). Boston, MA: Academic Press. ISBN 978-0-12-238452-3.

• Ferrante, Jeanne; Rackoff, Charles W. (1979). The Computational Complexity of Logical Theories. Lecture Notes in Mathematics. Vol. 718. Springer-Verlag. doi:10.1007/BFb0062837. ISBN 978-3-540-09501-9. MR 0537764.

• Fischer, Michael J.; Rabin, Michael O. (1974). "Super-Exponential Complexity of Presburger Arithmetic". In Karp, Richard M. (ed.). Complexity of computation. SIAM-AMS Proceedings. Vol. 7. American Mathematical Society. pp. 27–41. ISBN 978-0-8218-1327-0. OCLC 1205569621. Archived from the original on 2006-09-15. Retrieved 2006-06-11.

• Ginsburg, Seymour; Spanier, Edwin Henry (1966). "Semigroups, Presburger Formulas, and Languages". Pacific Journal of Mathematics. 16 (2): 285–296. doi:10.2140/pjm.1966.16.285.

• Haase, Christoph (2014). "Subclasses of Presburger Arithmetic and the Weak EXP Hierarchy". Proceedings CSL-LICS. ACM. pp. 47:1–47:10. arXiv:1401.5266. doi:10.1145/2603088.2603092.

• Haase, Christoph (2018). "A Survival Guide to Presburger Arithmetic" (PDF). ACM SIGLOG News. 5 (3): 67–82. doi:10.1145/3242953.3242964. S2CID 51847374.

• Hoang, Nhat Minh. "Presburger Arithmetic" (PDF). Technische Universität München. Retrieved 22 March 2024. In this paper a procedure for constructing an automaton that decides Presburger arithmetic is explained.

• King, Tim; Barrett, Clark W.; Tinelli, Cesare (2014). "Leveraging linear and mixed integer programming for SMT". 2014 Formal Methods in Computer-Aided Design (FMCAD). Vol. 2014. pp. 139–146. doi:10.1109/FMCAD.2014.6987606. ISBN 978-0-9835-6784-4. S2CID 5542629.

• Michaux, Christian; Villemaire, Roger (1996). "Presburger Arithmetic and Recognizability of Sets of Natural Numbers by Automata: New Proofs of Cobham's and Semenov's Theorems". Annals of Pure and Applied Logic. 77 (3): 251–277. doi:10.1016/0168-0072(95)00022-4.

• Monk, J. Donald (2012). Mathematical Logic (Graduate Texts in Mathematics (37)) (Softcover reprint of the original 1st ed. 1976 ed.). Springer. ISBN 9781468494549.

• Muchnik, Andrei A. (2003). "The definable criterion for definability in Presburger arithmetic and its applications". Theor. Comput. Sci. 290 (3): 1433–1444. doi:10.1016/S0304-3975(02)00047-6.

• Nelson, Greg; Oppen, Derek C. (April 1978). "A simplifier based on efficient decision algorithms". Proc. 5th ACM SIGACT-SIGPLAN Symposium on Principles of Programming Languages: 141–150. doi:10.1145/512760.512775. S2CID 6342372.

• Nguyen, Danny; Pak, Igor (2017). "Short Presburger Arithmetic is Hard" (PDF). 2017 IEEE 58th Annual Symposium on Foundations of Computer Science (FOCS). pp. 37–48. arXiv:1708.08179. doi:10.1109/FOCS.2017.13. ISBN 978-1-5386-3464-6. S2CID 3425421. Retrieved 2022-09-04.

• Nguyen Luu, Dahn (2018). The Computational Complexity of Presburger Arithmetic (Thesis). Los Angeles: UCLA Electronic Theses and Dissertations. Retrieved 2022-09-08.

• Nipkow, T (2010). "Linear Quantifier Elimination" (PDF). Journal of Automated Reasoning. 45 (2): 189–212. doi:10.1007/s10817-010-9183-0. S2CID 14279141.

• Oppen, Derek C. (1978). "A 2^22pn Upper Bound on the Complexity of Presburger Arithmetic". J. Comput. Syst. Sci. 16 (3): 323–332. doi:10.1016/0022-0000(78)90021-1.

• Presburger, Mojżesz (1929). "Über die Vollständigkeit eines gewissen Systems der Arithmetik ganzer Zahlen, in welchem die Addition als einzige Operation hervortritt". Comptes Rendus du I congrès de Mathématiciens des Pays Slaves, Warszawa: 92–101., see Stansifer (1984) for an English translation

• Pugh, William (1991). "The Omega test: A fast and practical integer programming algorithm for dependence analysis". Proceedings of the 1991 ACM/IEEE conference on Supercomputing - Supercomputing '91. New York, NY, USA: Association for Computing Machinery. pp. 4–13. CiteSeerX 10.1.1.37.1995. doi:10.1145/125826.125848. ISBN 0897914597. S2CID 3174094.

• Reddy, C.R.; Loveland, D.W. (1978). "Presburger arithmetic with bounded quantifier alternation". Proceedings of the tenth annual ACM symposium on Theory of computing - STOC '78. ACM Symposium on Theory of Computing. pp. 320–325. doi:10.1145/800133.804361. S2CID 13966721.

• Semenov, A.L. (1977). "Presburgerness of predicates regular in two number systems". Sibirsk. Mat. Zh. (in Russian). 18: 403–418.

• Stansifer, Ryan (Sep 1984). Presburger's Article on Integer Arithmetic: Remarks and Translation (PDF) (Technical Report). Vol. TR84-639. Ithaca/NY: Dept. of Computer Science, Cornell University.

• Young, P. (1985). "Gödel theorems, exponential difficulty and undecidability of arithmetic theories: an exposition". In A. Nerode and R. Shore (ed.). Recursion Theory, American Mathematical Society. pp. 503–522.

• Zoethout, Jetze (February 1, 2015). Interpretations in Presburger Arithmetic (Bachelor Thesis) (PDF) (Thesis). Retrieved 2023-08-25.

External links

• A complete Theorem Prover for Presburger Arithmetic by Philipp Rümmer