i came across this particular problem which says
Suppose that $z=f(x,y)$ is defined, has continuous second partial derivatives and satisfies the Laplace equation $\frac{\partial^2 z}{\partial y^2} + \frac{\partial ^2z}{\partial x^2} = 0$. Assume that ($\frac{\partial^2 z}{\partial x^2})(x_0,y_0) \ne0$. Prove that f cannot have a local maximum or minimum at$(x_0,y_0)$.
This is easy to show :
since $z_{xx}=-z_{yy}$, $(z_{xx})(z_{yy})-(z_{xy})^2$ at $(x_0,y_0)$ is equal to -$[(z_{xx})^2+(z_{xy})^2]$which is always $\lt0$ given the conditions. Hence the given point is a saddle point.
Now here is what i am thinking. No matter what the point is if a function satisfies the Laplace equation, unless all the second order derivatives vanish, every point is gonna be a saddle point. Does there exist a function whose every point is a saddle point? How will the function look?