Given the following definitions:
1. A strictly convex function f is a function for which given any two points a,b, and any number t in [0,1], (1-t)f(a) + tf(b) > f((1-t)a + tb)
2. The negative gradient is the opposite of the gradient. For example, for f(x,y) = 2xy the negative gradient would be -grad_f (x,y) = (-2y, -2x)

Give an example of a strictly convex function and a point in the plane where the negative gradient of the function at that point does not point towards the global minimum