Kleene algebra

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This article is about the Kleene algebra with a closure operation—a generalization of regular expressions. For the Kleene algebra with involution—a generalization of Kleene's ternary logic—, see Kleene algebra (with involution).

In mathematics, a Kleene algebra (/ˈklni/ KLAY-nee; named after Stephen Cole Kleene) is an idempotent (and thus partially ordered) semiring endowed with a closure operator.[1] It generalizes the operations known from regular expressions.

Definition[edit]

Various inequivalent definitions of Kleene algebras and related structures have been given in the literature.[2] Here we will give the definition that seems to be the most common nowadays.

A Kleene algebra is a set A together with two binary operations + : A × AA and · : A × AA and one function * : AA, written as a + b, ab and a* respectively, so that the following axioms are satisfied.

  • Associativity of + and ·: a + (b + c) = (a + b) + c and a(bc) = (ab)c for all a, b, c in A.
  • Commutativity of +: a + b = b + a for all a, b in A
  • Distributivity: a(b + c) = (ab) + (ac) and (b + c)a = (ba) + (ca) for all a, b, c in A
  • Identity elements for + and ·: There exists an element 0 in A such that for all a in A: a + 0 = 0 + a = a. There exists an element 1 in A such that for all a in A: a1 = 1a = a.
  • a0 = 0a = 0 for all a in A.

The above axioms define a semiring. We further require:

It is now possible to define a partial order ≤ on A by setting ab if and only if a + b = b (or equivalently: ab if and only if there exists an x in A such that a + x = b; with any definition, aba implies a = b). With this order we can formulate the last two axioms about the operation *:

  • 1 + a(a*) ≤ a* for all a in A.
  • 1 + (a*)aa* for all a in A.
  • if a and x are in A such that axx, then a*xx
  • if a and x are in A such that xax, then x(a*) ≤ x [3]

Intuitively, one should think of a + b as the "union" or the "least upper bound" of a and b and of ab as some multiplication which is monotonic, in the sense that ab implies axbx. The idea behind the star operator is a* = 1 + a + aa + aaa + ... From the standpoint of programming language theory, one may also interpret + as "choice", · as "sequencing" and * as "iteration".

Examples[edit]

Notational correspondence between
Kleene algebras and + · * 0 1
Regular expressions | not written * ε

Let Σ be a finite set (an "alphabet") and let A be the set of all regular expressions over Σ. We consider two such regular expressions equal if they describe the same language. Then A forms a Kleene algebra. In fact, this is a free Kleene algebra in the sense that any equation among regular expressions follows from the Kleene algebra axioms and is therefore valid in every Kleene algebra.

Again let Σ be an alphabet. Let A be the set of all regular languages over Σ (or the set of all context-free languages over Σ; or the set of all recursive languages over Σ; or the set of all languages over Σ). Then the union (written as +) and the concatenation (written as ·) of two elements of A again belong to A, and so does the Kleene star operation applied to any element of A. We obtain a Kleene algebra A with 0 being the empty set and 1 being the set that only contains the empty string.

Let M be a monoid with identity element e and let A be the set of all subsets of M. For two such subsets S and T, let S + T be the union of S and T and set ST = {st : s in S and t in T}. S* is defined as the submonoid of M generated by S, which can be described as {e} ∪ SSSSSS ∪ ... Then A forms a Kleene algebra with 0 being the empty set and 1 being {e}. An analogous construction can be performed for any small category.

Suppose M is a set and A is the set of all binary relations on M. Taking + to be the union, · to be the composition and * to be the reflexive transitive closure, we obtain a Kleene algebra.

Every Boolean algebra with operations \lor and \land turns into a Kleene algebra if we use \lor for +, \land for · and set a* = 1 for all a.

A quite different Kleene algebra can be used to implement the Floyd–Warshall algorithm, computing the shortest path's length for every two vertices of a weighted directed graph, by Kleene's algorithm, computing a regular expression for every two states of a deterministic finite automaton. Using the extended real number line, take a + b to be the minimum of a and b and ab to be the ordinary sum of a and b (with the sum of +∞ and −∞ being defined as +∞). a* is defined to be the real number zero for nonnegative a and −∞ for negative a. This is a Kleene algebra with zero element +∞ and one element the real number zero. A weighted directed graph can then be considered as a deterministic finite automaton, with each transition labelled by its weight. For any two graph nodes (automaton states), the regular expressions computed from Kleene's algorithm evaluates, in this particular Kleene algebra, to the shortest path length between the nodes.[4]

Properties[edit]

Zero is the smallest element: 0 ≤ a for all a in A.

The sum a + b is the least upper bound of a and b: we have aa + b and ba + b and if x is an element of A with ax and bx, then a + bx. Similarly, a1 + ... + an is the least upper bound of the elements a1, ..., an.

Multiplication and addition are monotonic: if ab, then

  • a + xb + x,
  • axbx, and
  • xaxb

for all x in A.

Regarding the star operation, we have

  • 0* = 1 and 1* = 1,
  • ab implies a*b* (monotonicity),
  • ana* for every natural number n, where an is defined as n-fold multiplication of a,
  • (a*)(a*) = a*,
  • (a*)* = a*,
  • 1 + a(a*) = a* = 1 + (a*)a,
  • ab* if and only if a*b*,
  • ax = xb implies (a*)x = x(b*),
  • ((ab)*)a = a((ba)*),
  • (a+b)* = a*(b(a*))*, and
  • pq = 1 = qp implies q(a*)p = (qap)*. [5]

If A is a Kleene algebra and n is a natural number, then one can consider the set Mn(A) consisting of all n-by-n matrices with entries in A. Using the ordinary notions of matrix addition and multiplication, one can define a unique *-operation so that Mn(A) becomes a Kleene algebra.

History[edit]

Kleene introduced regular expressions and gave some of their algebraical laws.[6][7] Although he didn't define Kleene algebras, he asked for a decision procedure for equivalence of regular expressions.[8] Redko proved that no finite set of axioms can characterize the algebra of regular languages.[9] Salomaa gave complete axiomatizations of this algebra, however depending on problematic inference rules.[10] The problem of providing a complete set of axioms, which would allow derivation of all equations among regular expressions, was intensively studied by John Horton Conway under the name of regular algebras,[11] however, the bulk of his treatment was infinitary. In 1981, Kozen gave a complete infinitary equational deductive system for the algebra of regular languages.[12] In 1994, he gave the above finite axiom system, which uses unconditional and conditional equalities,[13] and is complete for the algebra of regular languages. Two regular expressions a and b denote the same language if a=b follows from the above axioms.[14]

Generalization (or relation to other structures)[edit]

Kleene algebras are a particular case of closed semirings, also called quasi-regular semirings or Lehmann semirings, which are semirings in which every element has at least one quasi-inverse satisfying the equation: a* = aa* + 1 = a*a + 1. This quasi-inverse is not necessarily unique.[15][16] In a Kleene algebra, a* is the least solution to the fixpoint equations: X = aX + 1 and X = Xa + 1.[16]

Closed semirings and Kleene algebras appear in algebraic path problems, a generalization of the shortest path problem.[16]

See also[edit]

Notes and references[edit]

  1. ^ Marc Pouly; Jürg Kohlas (2011). Generic Inference: A Unifying Theory for Automated Reasoning. John Wiley & Sons. p. 246. ISBN 978-1-118-01086-0. 
  2. ^ For a survey, see: Kozen, Dexter (1990). "On Kleene algebras and closed semirings". In Rovan, Branislav. Mathematical foundations of computer science, Proc. 15th Symp., MFCS '90, Banská Bystrica/Czech. 1990. Lecture Notes Computer Science 452. Springer-Verlag. pp. 26–47. Zbl 0732.03047. 
  3. ^ Kozen (1990), sect.2.1, p.3
  4. ^ Gross, Jonathan L.; Yellen, Jay (2003), Handbook of Graph Theory, Discrete Mathematics and Its Applications, CRC Press, p. 65, ISBN 9780203490204 .
  5. ^ Kozen (1990), sect.2.1.2, p.5
  6. ^ S.C. Kleene (Dec 1951). Representation of Events in Nerve Nets and Finite Automate (Technical report). U.S. Air Force / RAND Corporation. p. 98. RM-704.  Here: sect.7.2, p.52
  7. ^ Kleene, Stephen C. (1956). "Representation of Events in Nerve Nets and Finite Automate". Automata Studies, Annals of Math. Studies (Princeton Univ. Press) 34.  Here: sect.7.2, p.26-27
  8. ^ Kleene (1956), p.35
  9. ^ V.N. Redko (1964). "On defining relations for the algebra of regular events". Ukrainskii Matematicheskii Zhurnal 16 (120–126).  (In Russian)
  10. ^ Arto Salomaa (Jan 1966). "Two complete axiom systems for the algebra of regular events". J. Assoc. Comput. Mach 13 (1): 158–169. doi:10.1145/321312.321326. 
  11. ^ Conway, J.H. (1971). Regular algebra and finite machines. London: Chapman and Hall. ISBN 0-412-10620-5. Zbl 0231.94041.  Chap.IV.
  12. ^ Dexter Kozen (1981). "On induction vs. *-continuity". In Dexter Kozen. Proc. Workshop Logics of Programs. Lect. Notes in Comput. Sci. 131. Springer. pp. 167–176. 
  13. ^ considering ab as an abbreviation for a+b=b
  14. ^ Dexter Kozen (May 1994). "A Completeness Theorem for Kleene Algebras and the Algebra of Regular Events". Information and Computation 110 (2): 366–390. doi:10.1006/inco.1994.1037.  — An earlier version appeared as: Dexter Kozen (May 1990). A Completeness Theorem for Kleene Algebras and the Algebra of Regular Events (Technical report). Cornell. p. 27. TR90-1123. 
  15. ^ Jonathan S. Golan (30 June 2003). Semirings and Affine Equations over Them. Springer Science & Business Media. pp. 157–159. ISBN 978-1-4020-1358-4. 
  16. ^ a b c Marc Pouly; Jürg Kohlas (2011). Generic Inference: A Unifying Theory for Automated Reasoning. John Wiley & Sons. pp. 232 and 248. ISBN 978-1-118-01086-0. 

Further reading[edit]