Saddle point

In mathematics, a saddle point or minimax point is a point on the surface of the graph of a function where the slopes (derivatives) in orthogonal directions are all zero (a critical point), but which is not a local extremum of the function. An example of a saddle point shown on the right is when there is a critical point with a relative minimum along one axial direction (between peaks) and at a relative maximum along the crossing axis. However, a saddle point need not be in this form. For example, the function f ( x , y ) = x 2 + y 3 {displaystyle f(x,y)=x^{2}+y^{3}} has a critical point at ( 0 , 0 ) {displaystyle (0,0)} that is a saddle point since it is neither a relative maximum nor relative minimum, but it does not have a relative maximum or relative minimum in the y {displaystyle y} -direction. In mathematics, a saddle point or minimax point is a point on the surface of the graph of a function where the slopes (derivatives) in orthogonal directions are all zero (a critical point), but which is not a local extremum of the function. An example of a saddle point shown on the right is when there is a critical point with a relative minimum along one axial direction (between peaks) and at a relative maximum along the crossing axis. However, a saddle point need not be in this form. For example, the function f ( x , y ) = x 2 + y 3 {displaystyle f(x,y)=x^{2}+y^{3}} has a critical point at ( 0 , 0 ) {displaystyle (0,0)} that is a saddle point since it is neither a relative maximum nor relative minimum, but it does not have a relative maximum or relative minimum in the y {displaystyle y} -direction. The name derives from the fact that the prototypical example in two dimensions is a surface that curves up in one direction, and curves down in a different direction, resembling a riding saddle or a mountain pass between two peaks forming a landform saddle. In terms of contour lines, a saddle point in two dimensions gives rise to a contour graph or trace in which the contour corresponding to the saddle point's value appears to intersect itself. A simple criterion for checking if a given stationary point of a real-valued function F(x,y) of two real variables is a saddle point is to compute the function's Hessian matrix at that point: if the Hessian is indefinite, then that point is a saddle point. For example, the Hessian matrix of the function z = x 2 − y 2 {displaystyle z=x^{2}-y^{2}} at the stationary point ( x , y , z ) = ( 0 , 0 , 0 ) {displaystyle (x,y,z)=(0,0,0)} is the matrix which is indefinite. Therefore, this point is a saddle point. This criterion gives only a sufficient condition. For example, the point ( 0 , 0 , 0 ) {displaystyle (0,0,0)} is a saddle point for the function z = x 4 − y 4 , {displaystyle z=x^{4}-y^{4},} but the Hessian matrix of this function at the origin is the null matrix, which is not indefinite. In the most general terms, a saddle point for a smooth function (whose graph is a curve, surface or hypersurface) is a stationary point such that the curve/surface/etc. in the neighborhood of that point is not entirely on any side of the tangent space at that point. In a domain of one dimension, a saddle point is a point which is both a stationary point and a point of inflection. Since it is a point of inflection, it is not a local extremum. A saddle surface is a smooth surface containing one or more saddle points. Classical examples of two-dimensional saddle surfaces in the Euclidean space are second order surfaces, the hyperbolic paraboloid z = x 2 − y 2 {displaystyle z=x^{2}-y^{2}} (which is often referred to as 'the saddle surface' or 'the standard saddle surface') and the hyperboloid of one sheet. The Pringles potato chip or crisp is an everyday example of a hyperbolic paraboloid shape. Saddle surfaces have negative Gaussian curvature which distinguish them from convex/elliptical surfaces which have positive Gaussian curvature. A classical third-order saddle surface is the monkey saddle.