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Second Partial Derivative Test


The second partial derivative test classifies a critical point (a,b) of a twice continuously differentiable function f(x,y). Define

 D=f_(xx)(a,b)f_(yy)(a,b)-f_(xy)^2(a,b).

If D>0 and f_(xx)(a,b)>0, the point is a local minimum; if D>0 and f_(xx)(a,b)<0, it is a local maximum. If D<0, the point is a saddle point. When D=0, the test is inconclusive. These cases are the two-dimensional form of classifying the Hessian by its definiteness.


See also

Critical Point, Hessian, Second Derivative Test

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References

Stewart, J. Calculus: Early Transcendentals, 7th ed. Belmont, CA: Brooks/Cole, 2012.

Cite this as:

Weisstein, Eric W. "Second Partial Derivative Test." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/SecondPartialDerivativeTest.html

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