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Advanced Calculus Chapter 3 Applications of partial differentiation 37 3 Applications of partial differentiation 3.1 Stationary points Higher derivatives 2 Let U ⊆ R and f : U → R. The partial derivatives f and f x y are functions of x and y and so we can find their partial deriva- tives. We write fxy to denote fy differentiated with respect to x. Similarly fxx denotes fx differentiated with respect to x, and fyx and fyy denote fx and fy, respectively, differentiated with respect to y. The functions f , f , f and f are the second partial xx xy yx yy derivatives of f. For the other notation for partial derivatives, we write ∂ µ∂f¶ or just ∂2f for fxx, ∂ µ∂f¶ or just ∂2f for ∂x ∂x ∂x2 ∂x ∂y ∂x∂y f , ∂ µ∂f¶ or just ∂2f for f and ∂ µ∂f¶ or just ∂2f for xy ∂y ∂x ∂y∂x yx ∂y ∂y ∂y2 fyy. We can also differentiate the second partial derivatives to get the third partial derivatives, and so on. For example, f , or ∂3f , is xyy ∂x∂y2 the third partial derivative obtained from differentiating fyy with respect to x. Example 1 Let f(x,y) = 3x3y +2xy2 −4x2y. Then f (x,y) = 9x2y+2y2−8xy; x f (x,y) = 3x3+4xy−4x2; y fxx(x,y) = 18xy−8y; f (x,y) = 9x2+4y−8x; yx fyy(x,y) = 4x; f (x,y) = 9x2+4y−8x. xy Notethat, in Example 1, fyx = fxy. This is true for all well-behaved functions. In particular, if f and f are both continuous on R2 xy yx 2 2 (or an open subset U of R ) then fyx = fxy on R (U). Advanced Calculus Chapter 3 Applications of partial differentiation 38 Example 2 Let z = xcos2y. Then ∂z = cos2y, ∂x ∂z = −2xsin2y, ∂y ∂2z ∂x2 = 0, ∂2z ∂y∂x = −2sin2y, ∂2z ∂x∂y = −2sin2y, ∂2z ∂y2 = −4xcos2y. xe2x Example 3 Let z = yn . Find all the possible values of n given that ∂2z ∂2z 3x −xy2 =12z. ∂x2 ∂y2 xe2x For z = yn we have 2x 2x ∂z = e +2xe , ∂x yn e2x(1 + 2x) = yn , ∂z nxe2x ∂y = −yn+1 , 2 2x 2x ∂ z = 2e (1+2x)+e ×2, ∂x2 yn 4e2x(x+1) = yn , ∂2z n(n+1)xe2x ∂y2 = yn+2 . Thus 2 2 2x 2 2x 2x 3x∂ z−xy2∂ z = 12xe (x+1)−n(n+1)x e =xe (12(x+1)−n(n+1)x), 2 2 n n n ∂x ∂y y y y Advanced Calculus Chapter 3 Applications of partial differentiation 39 and so 2 2 2x 2x 3x∂ z −xy2∂ z = 12z ⇔ xe (12(x+1)−n(n+1)x)= 12xe , 2 2 n n ∂x ∂y y y ⇔ 12(x+1)−n(n+1)x=12, (Since the result is true for all x and y.) ⇔ 12x+12−n(n+1)x=12, ⇔ 12−n(n+1)=0, (Since the result is true for all x.) ⇔ n2+n−12=0, ⇔ (n+4)(n−3)=0, ⇔ n=−4orn=3. Stationary points Let U ⊆ R2, and let f : U → R. Then (a,b) is a stationary point of f if the tangent plane at (a,b) is horizontal. That is, the tangent plane is parallel to the (x,y)-plane, and so has the form z = c for some constant c. Sincethetangentplaneat(a,b)passesthroughthepoint(a,b,f(a,b)), then if it is horizontal it has the form z = f(a,b). Recall from Chapter 1 that the equation of the tangent plane at (a,b) is f(a,b)−z+fx(a,b)(x−a)+fy(a,b)(y−b)=0. Now, if (a,b) is a stationary point then f(a,b) − z = 0, and so f (a,b)(x −a)+f (a,b)(y −b) = 0. x y The last equation is true for all x and y. Putting x = a and y any value other than b into this equation gives fy(a,b) = 0. Similarly, putting y = b and x any value other than a into this equation gives fx(a,b) = 0. Hence, if (a,b) is a stationary point of f then fx(a,b) = 0 and fy(a,b) = 0. It is straightforward to establish the converse of this result. Thus, to find the stationary points of f, we have to find the solutions of the equations f (a,b) = 0, x fy(a,b) = 0. Example 4 Find all of the stationary points of 2 2 f(x,y) = x y +3xy −3xy. Advanced Calculus Chapter 3 Applications of partial differentiation 40 The partial derivative of f are f (x,y) = 2xy+3y2−3y =y(2x+3y−3); x 2 fy(x,y) = x +6xy−3x=x(x+6y−3). Putting fx(x,y) = fy(x,y) = 0 gives y(2x+3y−3) = 0, (1) x(x+6y−3) = 0. (2) From equation (1) either y = 0 or 2x + 3y = 3. If y = 0 then equation 2 gives x(x−3) = 0, and so x = 0,3. If 2x+3y = 3 then 6y = 6−4x. Thus, in this case, equation 2 gives x(3−3x) = 0, and so x = 0,1 and y = 1, 1, respectively. Thus the stationary points 3 1 of f are (0,0), (0,3), (0,1) and (1, 3). Types of stationary points There are three main types of stationary point: a local minimum, a local maximum and a saddle point. The following diagrams show a typical graph and contour-plot of these three types. Alocal minimum 2 1 4 3 0 y 2 -2 -1 0 1 x 1 -2 -1 -1 0 2 1 00 y 1 -1 -2 x 2 -2 Alocal maximum 2 -2 -2 -1 xy -1 00 1 0 1 1 2 -1 2 x -2 -2 -1 0 1 -3 0 y -4 -5 -1 -2
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