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Multivariate Calculus - Bruce E. Shapiro

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62 LECTURE 9. THE PARTIAL DERIVATIVE<br />

Figure 9.2: The function T (x, y) discused in example 9.4.<br />

Higher order partial derivatives<br />

The second and higher order partial derivatives<br />

f xx = ∂ ∂f<br />

∂x ∂x = ∂2 f<br />

∂x 2<br />

f yy = ∂ ∂y<br />

∂f<br />

∂y = ∂2 f<br />

∂y 2<br />

In addition, there are mixed partial derivatives for higher orders.<br />

f xy = (f x ) y = ∂ ∂y<br />

∂f<br />

∂x = ∂2 f<br />

∂y∂x<br />

f yx = (f y ) x = ∂ ∂f<br />

∂x ∂y = ∂2 f<br />

∂x∂y<br />

Example 9.5 Find all the second order partial derivatives of<br />

From equations (9.3) and (9.4),<br />

f(x, y) = x 3 y 2 − 5x + 7y 3<br />

∂f<br />

∂x = 3x2 y 2 − 5,<br />

∂f<br />

∂y = 2x3 y + 21y 2<br />

Hence<br />

f xx = ∂ ∂f<br />

∂x ∂x = ∂<br />

∂x (3x2 y 2 − 5) = 6xy 2<br />

f xy = ∂ ∂f<br />

∂y ∂x = ∂ ∂y (3x2 y 2 − 5) = 6x 2 y<br />

Revised December 6, 2006. Math 250, Fall 2006

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