Least fixed point

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In order theory, a branch of mathematics, the least fixed point (lfp or LFP) of a function is the fixed point which is less than or equal to all other fixed points, according to some partial order.

For example, the least fixed point of the real function

f(x) = x2

is x = 0 with the usual order on the real numbers (since the only other fixpoint is 1 and 0 < 1). Many fixed-point theorems yield algorithms for locating the least fixed point. Least fixed points often have desirable properties that arbitrary fixed points do not.

In mathematical logic and computer science, the least fixed point is related to making recursive definitions (see domain theory and/or denotational semantics for details).

Immerman [1] and Vardi [2] independently showed the descriptive complexity result that the polynomial-time computable properties of linearly ordered structures are definable in LFP. However, LFP is too weak to express all polynomial-time properties of unordered structures (for instance that a structure has even size).

Greatest fixed points

Greatest fixed points can also be determined, but they are less commonly used than least fixed points.

Notes

  1. ↑ N. Immerman, Relational queries computable in polynomial time, Information and Control 68 (1–3) (1986) 86–104.
  2. ↑ M. Y. Vardi, The complexity of relational query languages, in: Proc. 14th ACM Symp. on Theory of Computing, 1982, pp. 137–146.

See also

References

  • Immerman, Neil. Descriptive Complexity, 1999, Springer-Verlag.
  • Libkin, Leonid. Elements of Finite Model Theory, 2004, Springer.
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