Multivariable calculus
Critical Points of xy - x - y
The only critical point of f(x,y) = xy - x - y is (1, 1). There f_xx = 0, f_yy = 0 and f_xy = 1, so the discriminant is D = (0)(0) - 1^2 = -1. A negative discriminant means the point is a saddle, and the vanishing pure second partials do not change that.
- saddle pointdiscriminant D = -1
Where both partials vanish
Differentiating in treats as a constant, so the term contributes and the term contributes nothing.
Notice the swap: the derivative controls and the derivative controls . Setting both to zero forces and , so is the only critical point, with .
A saddle with no curvature along the axes
Differentiate again. Since has no in it, differentiating in a second time gives zero, and the same happens in .
The discriminant is negative, so is a saddle. Along the horizontal and vertical lines through the point the surface is perfectly straight, and all of the curvature lives in the diagonal directions.
The mistake students make
Seeing , students often write that the test fails. It does not. The test is inconclusive only when , and here , a perfectly clear answer. The rule is that decides first, and is consulted only when .
You can see the saddle directly by factoring.
Move away from with both factors positive and rises above ; move with one factor positive and the other negative and drops below . Rising in some directions and falling in others is what a saddle is.
Frequently asked questions
Can a point be a saddle when f_xx is zero?
Yes. measures curvature along the direction only, and a saddle can be flat along the axes while still bending up one diagonal and down the other. That is exactly this surface: and yet certifies a saddle.
Are there other critical points off to the side?
No. Both partials are linear and each pins down one variable exactly, so and is the whole solution set. One critical point, and it is a saddle.