Distribution of interpolation points

We show that interpolation to a function, analytic on a compact setE in the complex plane, can yield maximal convergence only if a subsequence of the interpolation points converges to the equilibrium distribution onE in the weak sense. Furthermore, we will derive a converse theorem for the case when the measure associated with the interpolation points converges to a measure onE, which may be different from the equilibrium measure.