Size of the Fourier-Motzkin eliminated system
ProvedSmaleNinth.elim_card_boundOne step of Fourier–Motzkin elimination replaces a system of inequalities by one indexed by the rows together with the ordered pairs of rows, that is by inequalities. Iterating from inequalities, the number of rows after eliminations therefore satisfies
The proof is an induction on using , which is what makes the shifted quantity the right one to bound: the bound squares at each step exactly as the exponent doubles.
Combined with SmaleNinth.lp_fourier_motzkin_decides, this makes the classical decision procedure for real linear feasibility quantitative. Feasibility of a system of inequalities in variables is equivalent to a conjunction of at most sign conditions, each of them an explicit polynomial expression in the entries of the system. For a fixed number of variables that is polynomial in the number of constraints, which is the general form of the fixed-dimension results and covers the two machine theorems of this mission as the cases and .
It also marks precisely where the method fails to bear on the mission's goal. The exponent is doubly exponential in the number of variables, whereas Smale's ninth problem asks for a number of arithmetic operations polynomial in the number of constraints and variables together. Any strongly polynomial algorithm must therefore avoid materialising the eliminated systems.
import Definitions.Def_SmaleNinth_ElimIdx /-! The size of the Fourier-Motzkin decision procedure: after eliminating `n` variables from a system of `m` inequalities, the number of remaining rows is at most `(m+1)^(2^n) - 1`. Source: the growth `N ↦ N + N^2` of the number of inequalities under one elimination step; see A. Schrijver, *Theory of Linear and Integer Programming*, Wiley 1986, Section 12.2. -/ /-- **Size of the eliminated system.** -/
theorem SmaleNinth.elim_card_bound (n m : ℕ) :
Fintype.card (SmaleNinth.ElimIdx n (Fin m)) + 1 ≤ (m + 1) ^ (2 ^ n) := by sorry