equations are slightly more complicated but we can still do it actually using a recent random matrix theory results from works of ulu and square collide collaborator lee and also the fact that the threshold states are marginal meaning that the lowest eigenvalue corresponding to them is stuck to zero and this if we combine it gives us an expression of what should be the threshold above which the gradient descent works as a function of this probability distribution of the true labels y and the labels y hat that the gradient