Multivariate Calculus - Bruce E. Shapiro

Multivariate Calculus - Bruce E. Shapiro Multivariate Calculus - Bruce E. Shapiro

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60 LECTURE 9. THE PARTIAL DERIVATIVE Example 9.2 Find the partial derivatives with respect to x and y of f(x, y) = e y sin x. Solution. ∂f ∂x = ∂ ∂x (ey sin x) = e y ∂ ∂x (sin x) = ey cos x (9.3) ∂f = ∂ ∂y ∂y (ey sin x) = sin x ∂ ∂y (ey ) = e y sin x (9.4) Example 9.3 Find the partial derivatives of f(x, y) = x 3 y 2 − 5x + 7y 3 . Solution. ∂f ∂x = ∂ ∂x (x3 y 2 − 5x + 7y 3 ) ∂f ∂y = ∂ ∂x (x3 y 2 ) − ∂ ∂x (5x) + ∂ ∂x (7y3 ) = y 2 ∂ ∂x (x3 ) − ∂ ∂x (5x) + ∂ ∂x (7y3 ) = 3x 2 y 2 − 5 = ∂ ∂y (x3 y 2 − 5x + 7y 3 ) = ∂ ∂y (x3 y 2 ) − ∂ ∂y (5x) + ∂ ∂y (7y3 ) = x 3 ∂ ∂y (y2 ) − ∂ ∂y (5x) + ∂ ∂y (7y3 ) = 2x 3 y + 21y 2 Physical Meaning of Partials. Partial derivatives represent rates of change, just as ordinary derivatives. If T (x,t) is the temperature of an object as a function of position and time then ∂T (x, t) ∂x represents the change in temperature at time t with respect to position, i.e., the slope of the temperature vs. position curve, and ∂T (x, t) ∂t gives the change in temperature at a fixed position x, with respect to time. If, on the other hand, T (x,y) gives the temperature of an object as a function of position in the xy plane then ∂T (x, y) ∂x Revised December 6, 2006. Math 250, Fall 2006

LECTURE 9. THE PARTIAL DERIVATIVE 61 represents the slope of the temperature vs position curve in a plane perpendicular to the y-axis, while ∂T (x, y) ∂y represents the slope of the temperature vs position curve in a plane perpendicular to the y-axis. Figure 9.1: The partial derivatives represent the ordinary slope of a function in a cross-section of 3-dimensional space. Example 9.4 Suppose that the temperature in degrees Celsius on a metal plate in the xy plane is given by T (x, y) = 4 + 2x 2 + y 3 where x and y are measured in feet. What is the change of temperature with respect to distance, measured in feet, if we start moving from the point (3, 2) in the direction of the positive y-axis, as illustrated in figure 9.2 ? Solution. If we move in the direction of the positive y-axis we are moving perpendicular to the x-axis (with x fixed) in the xy plane, so we are interesting in finding the partial derivative ∂T/∂y. ∂T (x, y) ∂y = ∂ ∂y (4 + 2x2 + y 3 ) = 0 + 0 + 3y 2 = 3y 2 At the point (3, 2) we have x = 3 and y = 2. Thus ∂T (3, 2) ∂y = 3(2) 2 = 12 deg /foot In other words, the temperature increases by 12 degrees for every foot we move in the y direction. Math 250, Fall 2006 Revised December 6, 2006.

60 LECTURE 9. THE PARTIAL DERIVATIVE<br />

Example 9.2 Find the partial derivatives with respect to x and y of f(x, y) =<br />

e y sin x.<br />

Solution.<br />

∂f<br />

∂x = ∂<br />

∂x (ey sin x) = e y ∂<br />

∂x (sin x) = ey cos x (9.3)<br />

∂f<br />

= ∂ ∂y ∂y (ey sin x) = sin x ∂ ∂y (ey ) = e y sin x (9.4)<br />

Example 9.3 Find the partial derivatives of f(x, y) = x 3 y 2 − 5x + 7y 3 .<br />

Solution.<br />

∂f<br />

∂x = ∂<br />

∂x (x3 y 2 − 5x + 7y 3 )<br />

∂f<br />

∂y<br />

= ∂<br />

∂x (x3 y 2 ) − ∂<br />

∂x (5x) + ∂<br />

∂x (7y3 )<br />

= y 2 ∂<br />

∂x (x3 ) − ∂<br />

∂x (5x) + ∂<br />

∂x (7y3 )<br />

= 3x 2 y 2 − 5<br />

= ∂ ∂y (x3 y 2 − 5x + 7y 3 )<br />

= ∂ ∂y (x3 y 2 ) − ∂ ∂y (5x) + ∂ ∂y (7y3 )<br />

= x 3 ∂ ∂y (y2 ) − ∂ ∂y (5x) + ∂ ∂y (7y3 )<br />

= 2x 3 y + 21y 2 <br />

Physical Meaning of Partials.<br />

Partial derivatives represent rates of change, just as ordinary derivatives. If T (x,t)<br />

is the temperature of an object as a function of position and time then<br />

∂T<br />

(x, t)<br />

∂x<br />

represents the change in temperature at time t with respect to position, i.e., the<br />

slope of the temperature vs. position curve, and<br />

∂T<br />

(x, t)<br />

∂t<br />

gives the change in temperature at a fixed position x, with respect to time.<br />

If, on the other hand, T (x,y) gives the temperature of an object as a function<br />

of position in the xy plane then<br />

∂T<br />

(x, y)<br />

∂x<br />

Revised December 6, 2006. Math 250, Fall 2006

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