For a linear polyhedron , a vertex of a linear polyhedron is a feasible point at which the normals of the active constraints span . Equivalently, linearly independent active constraints uniquely determine . A linear polyhedron may be unbounded or lower-dimensional; the definition applies in those cases as well as to a convex polytope.
Such a point is an extreme point. Indeed, if with and , every active constraint at must also be an equality at and . Selecting independent active rows forces . Conversely, if the active normals do not span , take a nonzero vector annihilated by all active rows. The finitely many inactive inequalities have positive slack, so both and remain feasible for sufficiently small . Their midpoint is , so is not an extreme point. Thus these notions coincide for a linear polyhedron.
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