Multivariate Calculus - Bruce E. Shapiro
Multivariate Calculus - Bruce E. Shapiro
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 />
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