AbstractLet S be a set of linear inequalities that determine a bounded polyhedron P. The closure of S is the smallest set of inequalities that contain S and is closed under two operations: (i) taking linear combinations of inequalities, (ii) replacing an inequality Σ ajxj ≤ a0, where a1, a2,…, an are integers, by the inequality Σajxj ≤ a with a ≥ [a0]. Obviously, if integers x1, x2,…, xn satisfy all the inequalities in S, then they satisfy also all inequalities in the closure of S. Conversely, let Σcjxj ≤ c0 hold for all choices of integers x1, x2,…, xn that satisfy all the inequalities in S. Then we prove that Σcjxj ≤ c0 belongs to the closure of S. To each integer linear programming problem, we assign a nonnegative integer, called its rank. (The rank is the minimum number of iterations of the operation (ii) that are required in order to eliminate the integrality constraint.) We prove that there is no upper bound on the rank of problems arising from the search for largest independent sets in graphs.