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Section 3 Key Concepts

Definition and Properties of Higher-Order Partial Derivatives.
  • Second-Order Partial Derivatives. Assume that z=f(x,y).

    • The second partial derivative with respect to x:

      fxx=(fx)x=∂2z∂x2.
    • The second partial derivative with respect to y:

      fyy=(fy)y=∂2z∂y2.
    • The mixed partial derivative with respect to x and then y:

      fxy=(fx)y=∂2z∂y∂x.
    • The mixed partial derivative with respect to y and then x:

      fyx=(fy)x=∂2z∂x∂y.
  • Equality of Mixed Partial Derivatives: If fxy and fyx are continuous at (a,b), then fxy(a,b)=fyx(a,b).

  • Higher-order partial derivatives such as the third and fourth derivatives can be defined similarly.

  • Higher-order partial derivatives can also be defined for functions of more than two variables.

Geometric Interpretation of Second-Order Derivatives.
  • Second-order derivatives measure concavity, or how slope changes. Specifically:

    • fxx: positive if the slope fx is increasing as we move in the x-direction; negative if the slope fx is decreasing as we move in the x-direction.

    • fyy: positive if the slope fy is increasing as we move in the y-direction; negative if the slope fy is decreasing as we move in the y-direction.

    • fxy: positive if the slope fx in the x-direction is increasing as we move in the y-direction; negative if the slope fx in the x-direction is decreasing as we move in the y-direction.

    • fyx: positive if the slope fy in the y-direction is increasing as we move in the x-direction; negative if the slope fy in the y-direction is decreasing as we move in the x-direction.

  • The sign of a second derivative at a point can be determined from a contour diagram if you know the signs of fx and fy and how the spacing of contours are changing.