Existential theory of the reals

In mathematical logic, computational complexity theory, and computer science, the existential theory of the reals is the set of all true sentences of the form

 \exists X_1 \cdots \exists X_k \, F(X_1,\dots, X_k), \,

where F(X1, ..., Xk) is a quantifier-free formula in the language of ordered fields with coefficients in a real closed field.[1]

The decision problem for the existential theory of the reals is the problem of finding an algorithm that decides, for each such formula, whether it is true or false. This decision problem is NP-hard and lies in PSPACE. Thus, it has significantly lower complexity than Alfred Tarski's quantifier elimination procedure for deciding statements in the first-order theory of the reals without the restriction to existential quantifiers.[1]

Complete problems

Several problems in computational complexity and geometric graph theory may be classified as complete for the existential theory of the reals. These include:

Based on this, the complexity class \exists \mathbb{R} has been defined as the set of problems having a polynomial-time reduction to the existential theory of the reals.[3]

References

  1. ^ a b Basu, Saugata; Pollack, Richard; Roy, Marie-Françoise (2006), "Existential Theory of the Reals", Algorithms in Real Algebraic Geometry, Algorithms and Computation in Mathematics, 10 (2nd ed.), Springer-Verlag, pp. 505–532, doi:10.1007/3-540-33099-2_14, ISBN 9783540330981 .
  2. ^ Richter, David A. (2011), "How to draw a Tait-colorable graph", in Brandes, Ulrik; Cornelsen, Sabine, Proc. 18th International Symposium on Graph Drawing (GD 2010), Lecture Notes in Computer Science, 6502, Springer-Verlag, pp. 353–364, doi:10.1007/978-3-642-18469-7_32 .
  3. ^ Schaefer, Marcus (2010), "Complexity of some geometric and topological problems", Graph Drawing, 17th International Symposium, GS 2009, Chicago, IL, USA, September 2009, Revised Papers, Lecture Notes in Computer Science, 5849, Springer-Verlag, pp. 334–344, doi:10.1007/978-3-642-11805-0_32, http://ovid.cs.depaul.edu/documents/convex.pdf .