Language equation

Language equations are mathematical statements that resemble numerical equations, but the variables assume values of formal languages rather than numbers. Instead of arithmetic operations in numerical equations, the variables are joined by language operations. Among the most common operations on two languages A and B are the set union A ∪ B, the set intersection A ∩ B, and the concatenation A⋅B. Finally, as an operation taking a single operand, the set A^* denotes the Kleene star of the language A. Therefore, language equations can be used to represent formal grammars, since the languages generated by the grammar must be the solution of a system of language equations.

Language equations and context-free grammars

Ginsburg and Rice ^[1] gave an alternative definition of context-free grammars by language equations. To every context-free grammar ${\displaystyle G=(V,\Sigma ,R,S)}$, is associated a system of equations in variables ${\displaystyle V}$. Each variable ${\displaystyle X\in V}$ is an unknown language over ${\displaystyle \Sigma }$ and is defined by the equation ${\displaystyle X=\alpha _{1}\cup \ldots \cup \alpha _{m}}$ where ${\displaystyle X\to \alpha _{1}}$, ..., ${\displaystyle X\to \alpha _{m}}$ are all productions for ${\displaystyle X}$. Ginsburg and Rice used a fixed-point iteration argument to show that a solution always exists, and proved that the assignment ${\displaystyle X=L_{G}(X)}$ is the least solution to this system,^{[ clarify ]} i.e. any other solution must be a subset^{[ clarify ]} of this one.

For example, the grammar ${\displaystyle S\to aSc\mid b\mid S}$ corresponds to the equation system ${\displaystyle S=(\{a\}\cdot S\cdot \{c\})\cup \{b\}\cup S}$ which has as solution every superset of ${\displaystyle \{a^{n}bc^{n}\mid n\in {\mathcal {N}}\}}$.

Language equations with added intersection analogously correspond to conjunctive grammars.^{[ citation needed ]}

Language equations and finite automata

Brzozowski and Leiss ^[2] studied left language equations where every concatenation is with a singleton constant language on the left, e.g. ${\displaystyle \{a\}\cdot X}$ with variable ${\displaystyle X}$, but not ${\displaystyle X\cdot Y}$ nor ${\displaystyle X\cdot \{a\}}$. Each equation is of the form ${\displaystyle X_{i}=F(X_{1},...,X_{k})}$ with one variable on the right-hand side. Every nondeterministic finite automaton has such corresponding equation using left-concatenation and union, see Fig. 1. If intersection operation is allowed, equations correspond to alternating finite automata.

Fig. 1: A finite automaton with associated system of equations ${\displaystyle S_{1}=1\cdot S_{1}\cup 0\cdot S_{2}\cup \{\epsilon \}}$, ${\displaystyle S_{2}=1\cdot S_{2}\cup 0\cdot S_{1}}$ where ${\displaystyle \epsilon }$ is the empty word.

Baader and Narendran ^[3] studied equations ${\displaystyle F(X_{1},\ldots ,X_{k})=G(X_{1},\ldots ,X_{k})}$ using left-concatenation and union and proved that their satisfiability problem is EXPTIME-complete.

Conway's problem

Conway ^[4] proposed the following problem: given a constant finite language ${\displaystyle L}$, is the greatest solution of the equation ${\displaystyle LX=XL}$ always regular? This problem was studied by Karhumäki and Petre ^{[5] [6]} who gave an affirmative answer in a special case. A strongly negative answer to Conway's problem was given by Kunc ^[7] who constructed a finite language ${\displaystyle L}$ such that the greatest solution of this equation is not recursively enumerable.

Kunc ^[8] also proved that the greatest solution of inequality ${\displaystyle LX\subseteq XL}$ is always regular.

Language equations with Boolean operations

Language equations with concatenation and Boolean operations were first studied by Parikh, Chandra, Halpern and Meyer ^[9] who proved that the satisfiability problem for a given equation is undecidable, and that if a system of language equations has a unique solution, then that solution is recursive. Later, Okhotin ^[10] proved that the unsatisfiability problem is RE-complete and that every recursive language is a unique solution of some equation.

Language equations over a unary alphabet

For a one-letter alphabet, Leiss ^[11] discovered the first language equation with a nonregular solution, using complementation and concatenation operations. Later, Jeż ^[12] showed that non-regular unary languages can be defined by language equations with union, intersection and concatenation, equivalent to conjunctive grammars. By this method Jeż and Okhotin ^[13] proved that every recursive unary language is a unique solution of some equation.

See also

• Boolean grammar
• Arden's rule
• Set constraint

References

1. Ginsburg, Seymour; Rice, H. Gordon (1962). "Two Families of Languages Related to ALGOL". Journal of the ACM. 9 (3): 350–371. doi: 10.1145/321127.321132 . ISSN   0004-5411. S2CID   16718187.
2. Brzozowski, J.A.; Leiss, E. (1980). "On equations for regular languages, finite automata, and sequential networks". Theoretical Computer Science. 10 (1): 19–35. doi: 10.1016/0304-3975(80)90069-9 . ISSN   0304-3975.
3. Baader, Franz; Narendran, Paliath (2001). "Unification of Concept Terms in Description Logics". Journal of Symbolic Computation. 31 (3): 277–305. doi: 10.1006/jsco.2000.0426 . ISSN   0747-7171.
4. Conway, John Horton (1971). Regular Algebra and Finite Machines. Chapman and Hall. ISBN   978-0-486-48583-6.
5. Karhumäki, Juhani; Petre, Ion (2002). "Conway's problem for three-word sets". Theoretical Computer Science. 289 (1): 705–725. doi: 10.1016/S0304-3975(01)00389-9 . ISSN   0304-3975.
6. Karhumäki, Juhani; Petre, Ion (2002). The Branching Point Approach to Conway's Problem. Lecture Notes in Computer Science. Vol. 2300. pp. 69–76. doi:10.1007/3-540-45711-9_5. ISBN   978-3-540-43190-9. ISSN   0302-9743.
7. Kunc, Michal (2007). "The Power of Commuting with Finite Sets of Words". Theory of Computing Systems. 40 (4): 521–551. doi:10.1007/s00224-006-1321-z. ISSN   1432-4350. S2CID   13406797.
8. Kunc, Michal (2005). "Regular solutions of language inequalities and well quasi-orders". Theoretical Computer Science. 348 (2–3): 277–293. doi: 10.1016/j.tcs.2005.09.018 . ISSN   0304-3975.
9. Parikh, Rohit; Chandra, Ashok; Halpern, Joe; Meyer, Albert (1985). "Equations between Regular Terms and an Application to Process Logic". SIAM Journal on Computing. 14 (4): 935–942. doi:10.1137/0214066. ISSN   0097-5397.
10. Okhotin, Alexander (2010). "Decision problems for language equations". Journal of Computer and System Sciences. 76 (3–4): 251–266. doi: 10.1016/j.jcss.2009.08.002 . ISSN   0022-0000.
11. Leiss, E.L. (1994). "Unrestricted complementation in language equations over a one-letter alphabet". Theoretical Computer Science. 132 (1–2): 71–84. doi: 10.1016/0304-3975(94)90227-5 . ISSN   0304-3975.
12. Jeż, Artur (2008). "Conjunctive grammars generate non-regular unary languages". International Journal of Foundations of Computer Science. 19 (3): 597–615. doi:10.1142/S012905410800584X. ISSN   0129-0541.
13. Jeż, Artur; Okhotin, Alexander (2014). "Computational completeness of equations over sets of natural numbers". Information and Computation. 237: 56–94. CiteSeerX   10.1.1.395.2250 . doi:10.1016/j.ic.2014.05.001. ISSN   0890-5401.

External links

• Workshop on Theory and Applications of Language Equations (TALE 2007)