actually the only one so we believe that this is actually with probability one but what we could prove is this is only with positive probability but there is something clearly happening about the threshold alpha equal to and when we and this is purely geometric no gradient descent yet but when we put this together with our second theorem about the gradient descent that tells us that in terms of this parameter a that is the weight matrix times its transpose the gradient descent always goes to global minima then putting these two together actually