Computing directional derivatives with the gradient Compute the directional derivative of the following functions at the given point P in the direction of the given vector . Be sure to use a unit vector for the direction vector. 26 f ( x , y ) = x / ( x − y ) ; P ( 4 , 1 ) ; 〈 − 1 , 2 〉
Computing directional derivatives with the gradient Compute the directional derivative of the following functions at the given point P in the direction of the given vector . Be sure to use a unit vector for the direction vector. 26 f ( x , y ) = x / ( x − y ) ; P ( 4 , 1 ) ; 〈 − 1 , 2 〉
Computing directional derivatives with the gradientCompute the directional derivative of the following functions at the given point P in the direction of the given vector. Be sure to use a unit vector for the direction vector.
26
f
(
x
,
y
)
=
x
/
(
x
−
y
)
;
P
(
4
,
1
)
;
〈
−
1
,
2
〉
Quantities that have magnitude and direction but not position. Some examples of vectors are velocity, displacement, acceleration, and force. They are sometimes called Euclidean or spatial vectors.
Find the directional derivative of the function at the given point in the direction of the vector v.
g(p, q) = p4 − p2q3, (1, 1), v = i + 2j
Use the contour diagram of f to decide if the specified directional derivative is positive, negative, or approximately zero.
?
✓1. At the point (1, 0) in the direction of -3.
✓ 2. At the point (0, -2) in the direction of (2-23)/√5,
✓3. At the point (0, 2) in the direction of 3,
4. At the point (-1, 1) in the direction of (-7+3)/√2,
?
?
?
?
?
V
5. At the point (-1, 1) in the direction of (-7-3)/√2,
✓6. At the point (-2, 2) In the direction of 7,
V
>
2.4
1.6
0.8
0
0.8
-1.6-
-2.4
12.0
12,0
10.0
10.0
-2.4
6.0
-1.6 -0.8
0
X
0.8
4.0
(Click graph to enlarge)
1.6
12.0
10.0
8.0
10.0
12.0
2.4
Find the directional derivative of f at the given point in the direction indicated by the
f(x, y) = 2ye-X, (0,4), 0 = 2π/3
Duf(0, 4) = 2 +
√3
2
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Thomas' Calculus: Early Transcendentals (14th Edition)
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