Suppose have integer entries of absolute value at most , has columns, and is infeasible. A Farkas certificate for linear inequalities can be chosen with , , and the displayed lower bound. Normalize an infeasibility certificate to obtain the last equality, then maximize over the resulting compact linear polyhedron. A maximizing extreme point has at most positive entries: otherwise the augmented columns on its support would be dependent, allowing feasible perturbations in both directions. For its independent supported columns, select independent equations. Cramer's rule expresses the supported entries with a common nonzero integer determinant denominator. That determinant has absolute value at most . The positive value therefore has a positive integer numerator over a denominator of at most this size, proving the bound.
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