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Multivariate Calculus - Bruce E. Shapiro

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Lecture 9<br />

The Partial Derivative<br />

Definition 9.1 Let f(x, y) be a function of two variables.<br />

derivative of f with respect to x is defined as<br />

Then the partial<br />

∂f<br />

∂x = f f(x + ∆x, y) − f(x, y)<br />

x(x, y) = lim<br />

∆x→0 ∆x<br />

(9.1)<br />

if the limit exists, and the the partial derivative of f with respect to y is<br />

similarly defined as<br />

∂f<br />

∂y = f f(x, y + ∆y) − f(x, y)<br />

y(x, y) = lim<br />

∆y→0 ∆y<br />

(9.2)<br />

if that limit exists.<br />

Calculation of partial derivatives is similar to calculation of ordinary derivatives.<br />

To calculate ∂f/∂x, for example, differentiate with respect to x while treating y as<br />

a constant; to calculate ∂f/∂y, differentiate with respect to y while treating x as a<br />

constant.<br />

Example 9.1 Find the partial derivatives of f(x, y) = x.<br />

Solution. Applying equations (9.1) and (9.2), we calculate<br />

∂f<br />

∂x = f f(x + h, y) − f(x, y)<br />

x(x, y) = lim<br />

h→0 h<br />

∂f<br />

∂y<br />

(x + h) − x<br />

= lim<br />

= 1<br />

h→0 h<br />

f(x, y + h) − f(x, y)<br />

= f y (x, y) = lim<br />

h→0 h<br />

x − x<br />

= lim = 0. <br />

h→0 h<br />

All of the usual rules of differentiation apply to partial derivatives, including<br />

things like the product rule, the quotient rule, and the derivatives of basic functions.<br />

59

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