Why does support vectors in SVM have alpha (Lagrangian multiplier) greater than zero?

I understood the overall SVM algorithm consisting of Lagrangian Duality and all, but I am not able to understand why particularly the Lagrangian multiplier is greater than zero for support vectors.

Thank you.