Recall that for a real valued function from R n to R 1, such as f(x,y) or f(x,y,z), the derivative...
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Transcript of Recall that for a real valued function from R n to R 1, such as f(x,y) or f(x,y,z), the derivative...
Recall that for a real valued function from Rn to R1, such as f(x,y) or f(x,y,z), the derivative matrix can be treated as a vector called the gradient instead of as a 1n matrix. That is,
[ fx(x,y) fy(x,y) ] can be represented by either Df(x,y) or f (x,y), and
[ fx(x,y,z) fy(x,y,z) fz(x,y,z) ] can be represented by either Df(x,y,z) or f (x,y,z).
Page 163 in the text repeats the definition of a gradient.
Recall that if x is a point on a line, and v is in the direction of the line, then x + tv definesIf f is a real valued function of two or three variables, then as t varies, f(x + tv) givesIf v is a unit vector (i.e., ||v||=1), then, [f(x + tv) – f(x)] / t gives the
all points on the line.
the values of f along the line.
change in f over an interval per unit of measurement of t (for instance, the change in temperature per mile).
We can find this derivative by using the chain rule. By letting c(t) = x + tv , we have c (t) =
The directional derivative of f at x in the direction of unit vector v (definition, page 164) is
limf(x + tv) – f(x)—————— . tt0
v . The chain rule then tells us that
d— f(c(t)) = f (c(t)) • c (t) =dt
and setting t = 0 to get this derivative at c(0) = x gives
f(x + tv) • v ,
f(x) • v .
Look at Theorem 12 on page 165 (and note that v should be identified as a unit vector in the theorem).
Find the directional derivative of f(x,y) = x2 – y2 at the point x = (2 , 4) in the direction of
v = (5 , –12) f (x,y) =
||v|| =
v = (5 , 3) ||v|| =
v = (0 , 2) ||v|| =
(2x , –2y)
13
f(x) • u = (4 , –8) • (5/13 , –12/13) = 116 / 13
34
f(x) • u = (4 , –8) • (5/34 , 3/34) =– 4 / 34
2
f(x) • u = (4 , –8) • (0 , 1) = – 8 which is fy(2,4)
Find a formula for the directional derivative of f(x,y,z) = xy3 – z2 at each point on the path c(t) = (5 sin t , 4 cos t , 3 cos t) for 0 t , in the direction of the tangent vector to the path.
f (x,y,z) =
x =
v =
||v|| =
(y3 , 3xy2 , – 2z)
c(t) = (5 sin t , 4 cos t , 3 cos t)
c (t) = (5 cos t , – 4 sin t , – 3 sin t)
5
f(x) • u = (5 cos t , – 4 sin t , – 3 sin t)
(64 cos3t , 240(sin t)(cos2t) , – 6 cos t) • ———————————— = 5
320 cos4t – 960(sin2t)(cos2t) + 18(cos t)(sin t)——————————————————
5
Note that if is the angle between the vectors f(x) and a unit vector v, then
f(x) • v = ||f(x)|| ||v|| cos = ||f(x)|| cos . This is maximized whenand is minimized when
On page 166, look at Theorem 13 and the comment which immediately follows.
Find the direction in which f(x,y) = 3x2 – 2y2 + xy increases the fastest from the point (–4 , 5).
f (x,y) = fx i + fy j =
f (–4 , 5) =
(6x + y)i + (x – 4y)j
– 19i – 24j
Find the direction in which T(x,y,z) = e–x + e–2y + e3z decreases the fastest from the point (1 , 1/2 , –1/3).
T (x,y,z) = fx i + fy j + fz k =
–T (1 , 1/2 , –1/3) =
– e–xi – 2e–2yj + 3e3zk
(i + 2j – 3k) / e
= 0 (f(x) and v point in the same direction) = (f(x) and v point in opposite directions).
Consider the curve in R2 defined by f(x,y) = b (which is a level curve of the function z = f(x,y)). If c(t) = (x(t) , y(t)) describes a path on the curve f(x,y) = b, then
f(x(t) , y(t)) = f(c(t)) = b
d— f(x(t) , y(t)) =dt
f(c(t)) • c (t) = 0
0
Df(x,y) Dc(t) = 0
Consider z = x2 + y2. One level curve is x2 + y2 = 1. One path on the curve is c(t) = (cos t , sin t) for 0 t /2.
y
x
(cos t)2 + (sin t)2 = 1
d— [(cos t)2 + (sin t)2] = 0dt
– 2(cos t)(sin t) + 2(sin t)(cos t) = 0 – sin t
2 cos t 2 sin t = 0 cos t
Consider the surface in R3 defined by f(x,y,z) = b (which is a level surface of the function w = f(x,y,z)). If c(t) = (x(t) , y(t) , z(t)) describes a path on the surface f(x,y,z) = b, then
f(x(t) , y(t) , z(t)) = f(c(t)) = b
d— f(x(t) , y(t) , z(t)) =dt
f(c(t)) • c (t) = 0
0
Df(x,y,z) Dc(t) = 0
Since f(x0 , y0 , z0) is orthogonal to each path which is on the surface w = f(x,y,z) and goes through the point (x0 , y0 , z0), thenf(x0 , y0 , z0) must be a normal vector to the plane tangent to the surface at the point (x0 , y0 , z0). Look at Theorem 14 on page 167.
The fact that f(x0 , y0 , z0) must be orthogonal to each vector with tail (x0 , y0 , z0) and head any point (x,y,z) on the plane tangent to the surface f(x,y,z) = b at the point (x0 , y0 , z0), leads to the method for obtaining this tangent plane stated at the bottom of page 167.
Find the equation of the plane tangent to the the graph of z = x2 + y4 + exy at the point (1,0,2).
First, we write the equation describing the graph in the form f(x,y,z) = b:
x2 + y4 + exy – z = 0 .
f(x,y,z) = (2x + yexy)i + (4y3 + xexy)j – k f (1,0,2) = 2i + j – k
The tangent plane is (2 , 1 , –1) • (x – 1 , y – 0 , z – 2) = 0
2x + y – z = 0