Section 3 Key Concepts
Definition and Properties of Higher-Order Partial Derivatives.
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Second-Order Partial Derivatives. Assume that z=f(x,y).
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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.
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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.
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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.