Directional derivatives for vector-valued functions
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Do we only calculate directional derivatives for scalar-valued functions?
Is it not possible to calculate directional derivatives for vector-valued functions?
How about using the vector of directional derivatives of the components of the given vector function? Would there be any useful physical or geometric meaning?
For a specific (randomly chosen) example, if $vec v(x,y,z)$ is given by
$$
vec v(x,y,z)=
begin{bmatrix}
x^3+y^2+z\
ze^x\
xyz-9xz\
end{bmatrix}
$$
how can we interpret the directional derivative of $vec v$ at the point $(1,2,3)$ in the direction of the vector $vec u=2i+3j-5k$?
multivariable-calculus
add a comment |
up vote
0
down vote
favorite
Do we only calculate directional derivatives for scalar-valued functions?
Is it not possible to calculate directional derivatives for vector-valued functions?
How about using the vector of directional derivatives of the components of the given vector function? Would there be any useful physical or geometric meaning?
For a specific (randomly chosen) example, if $vec v(x,y,z)$ is given by
$$
vec v(x,y,z)=
begin{bmatrix}
x^3+y^2+z\
ze^x\
xyz-9xz\
end{bmatrix}
$$
how can we interpret the directional derivative of $vec v$ at the point $(1,2,3)$ in the direction of the vector $vec u=2i+3j-5k$?
multivariable-calculus
Just compute the directional derivative of each of the three components separately. The geometric meaning is that this vector tells you the infinitesimal change of your vector field.
– Nick
Nov 14 at 17:03
would you please elaborate your answer? I want to see some computation..
– Rakibul Islam Prince
Nov 14 at 19:52
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
Do we only calculate directional derivatives for scalar-valued functions?
Is it not possible to calculate directional derivatives for vector-valued functions?
How about using the vector of directional derivatives of the components of the given vector function? Would there be any useful physical or geometric meaning?
For a specific (randomly chosen) example, if $vec v(x,y,z)$ is given by
$$
vec v(x,y,z)=
begin{bmatrix}
x^3+y^2+z\
ze^x\
xyz-9xz\
end{bmatrix}
$$
how can we interpret the directional derivative of $vec v$ at the point $(1,2,3)$ in the direction of the vector $vec u=2i+3j-5k$?
multivariable-calculus
Do we only calculate directional derivatives for scalar-valued functions?
Is it not possible to calculate directional derivatives for vector-valued functions?
How about using the vector of directional derivatives of the components of the given vector function? Would there be any useful physical or geometric meaning?
For a specific (randomly chosen) example, if $vec v(x,y,z)$ is given by
$$
vec v(x,y,z)=
begin{bmatrix}
x^3+y^2+z\
ze^x\
xyz-9xz\
end{bmatrix}
$$
how can we interpret the directional derivative of $vec v$ at the point $(1,2,3)$ in the direction of the vector $vec u=2i+3j-5k$?
multivariable-calculus
multivariable-calculus
asked Nov 12 at 19:38
Rakibul Islam Prince
819210
819210
Just compute the directional derivative of each of the three components separately. The geometric meaning is that this vector tells you the infinitesimal change of your vector field.
– Nick
Nov 14 at 17:03
would you please elaborate your answer? I want to see some computation..
– Rakibul Islam Prince
Nov 14 at 19:52
add a comment |
Just compute the directional derivative of each of the three components separately. The geometric meaning is that this vector tells you the infinitesimal change of your vector field.
– Nick
Nov 14 at 17:03
would you please elaborate your answer? I want to see some computation..
– Rakibul Islam Prince
Nov 14 at 19:52
Just compute the directional derivative of each of the three components separately. The geometric meaning is that this vector tells you the infinitesimal change of your vector field.
– Nick
Nov 14 at 17:03
Just compute the directional derivative of each of the three components separately. The geometric meaning is that this vector tells you the infinitesimal change of your vector field.
– Nick
Nov 14 at 17:03
would you please elaborate your answer? I want to see some computation..
– Rakibul Islam Prince
Nov 14 at 19:52
would you please elaborate your answer? I want to see some computation..
– Rakibul Islam Prince
Nov 14 at 19:52
add a comment |
1 Answer
1
active
oldest
votes
up vote
1
down vote
accepted
The generic formula for the directional derivative of a function $f$ in the direction $u$ (for a unit vector) is $D_u f (x,y,z) = nabla f(x,y,z) cdot u$. For a vector, just do this to all the components.
Let's look at the example you give. Let's call $f_1(x,y,z) = x^3+y^2+z$, $, f_2(x,y,z) = ze^x$, and $f_3(x,y,z) = xyz - 9xz$. Then the gradients are
$$ begin {align*} nabla f_1 &= (3x^2, , 2y, , 1) \
nabla f_2 &= (ze^x, , 0, , e^x) \
nabla f_3 &= (yz - 9z, , xz, , xy - 9x)
end {align*}
$$
At your particular point $(1,2,3)$, these are:
$$ begin {align*}
nabla f_1(1,2,3) &= (3,4,1) \
nabla f_2(1,2,3) &= (3e,0,e) \
nabla f_3(1,2,3) &= (-27,3,-7)
end {align*}
$$
The formula I mentioned above for directional derivative requires a UNIT vector. Since the vector you give, $u = (2,3,-5)$ is NOT a unit vector, we have to rescale it, and instead use the vector
$$ w = frac{1}{|u|}u = frac{1}{sqrt{38}}(2,3,-5) $$
Now finally use the formula:
$$ begin {align*}
D_w f_1(1,2,3) &= frac{1}{sqrt{38}}(2,3,-5) cdot (3,4,1) = frac{13}{sqrt{38}} \
D_w f_2(1,2,3) &= frac{1}{sqrt{38}}(2,3,-5) cdot (3e,0,e) = frac{e}{sqrt{38}} \
D_w f_3(1,2,3) &= frac{1}{sqrt{38}}(2,3,-5) cdot (-27,3,-7) = frac{98}{sqrt{38}}
end {align*}
$$
Putting it all together, the directional derivative of your vector function $v(x,y,z)$ in the direction u (also the same as direction w) is given by
$$ frac{1}{sqrt{38}} left( begin {array}{c} 13 \ e \ 98 end{array} right) $$
add a comment |
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
1
down vote
accepted
The generic formula for the directional derivative of a function $f$ in the direction $u$ (for a unit vector) is $D_u f (x,y,z) = nabla f(x,y,z) cdot u$. For a vector, just do this to all the components.
Let's look at the example you give. Let's call $f_1(x,y,z) = x^3+y^2+z$, $, f_2(x,y,z) = ze^x$, and $f_3(x,y,z) = xyz - 9xz$. Then the gradients are
$$ begin {align*} nabla f_1 &= (3x^2, , 2y, , 1) \
nabla f_2 &= (ze^x, , 0, , e^x) \
nabla f_3 &= (yz - 9z, , xz, , xy - 9x)
end {align*}
$$
At your particular point $(1,2,3)$, these are:
$$ begin {align*}
nabla f_1(1,2,3) &= (3,4,1) \
nabla f_2(1,2,3) &= (3e,0,e) \
nabla f_3(1,2,3) &= (-27,3,-7)
end {align*}
$$
The formula I mentioned above for directional derivative requires a UNIT vector. Since the vector you give, $u = (2,3,-5)$ is NOT a unit vector, we have to rescale it, and instead use the vector
$$ w = frac{1}{|u|}u = frac{1}{sqrt{38}}(2,3,-5) $$
Now finally use the formula:
$$ begin {align*}
D_w f_1(1,2,3) &= frac{1}{sqrt{38}}(2,3,-5) cdot (3,4,1) = frac{13}{sqrt{38}} \
D_w f_2(1,2,3) &= frac{1}{sqrt{38}}(2,3,-5) cdot (3e,0,e) = frac{e}{sqrt{38}} \
D_w f_3(1,2,3) &= frac{1}{sqrt{38}}(2,3,-5) cdot (-27,3,-7) = frac{98}{sqrt{38}}
end {align*}
$$
Putting it all together, the directional derivative of your vector function $v(x,y,z)$ in the direction u (also the same as direction w) is given by
$$ frac{1}{sqrt{38}} left( begin {array}{c} 13 \ e \ 98 end{array} right) $$
add a comment |
up vote
1
down vote
accepted
The generic formula for the directional derivative of a function $f$ in the direction $u$ (for a unit vector) is $D_u f (x,y,z) = nabla f(x,y,z) cdot u$. For a vector, just do this to all the components.
Let's look at the example you give. Let's call $f_1(x,y,z) = x^3+y^2+z$, $, f_2(x,y,z) = ze^x$, and $f_3(x,y,z) = xyz - 9xz$. Then the gradients are
$$ begin {align*} nabla f_1 &= (3x^2, , 2y, , 1) \
nabla f_2 &= (ze^x, , 0, , e^x) \
nabla f_3 &= (yz - 9z, , xz, , xy - 9x)
end {align*}
$$
At your particular point $(1,2,3)$, these are:
$$ begin {align*}
nabla f_1(1,2,3) &= (3,4,1) \
nabla f_2(1,2,3) &= (3e,0,e) \
nabla f_3(1,2,3) &= (-27,3,-7)
end {align*}
$$
The formula I mentioned above for directional derivative requires a UNIT vector. Since the vector you give, $u = (2,3,-5)$ is NOT a unit vector, we have to rescale it, and instead use the vector
$$ w = frac{1}{|u|}u = frac{1}{sqrt{38}}(2,3,-5) $$
Now finally use the formula:
$$ begin {align*}
D_w f_1(1,2,3) &= frac{1}{sqrt{38}}(2,3,-5) cdot (3,4,1) = frac{13}{sqrt{38}} \
D_w f_2(1,2,3) &= frac{1}{sqrt{38}}(2,3,-5) cdot (3e,0,e) = frac{e}{sqrt{38}} \
D_w f_3(1,2,3) &= frac{1}{sqrt{38}}(2,3,-5) cdot (-27,3,-7) = frac{98}{sqrt{38}}
end {align*}
$$
Putting it all together, the directional derivative of your vector function $v(x,y,z)$ in the direction u (also the same as direction w) is given by
$$ frac{1}{sqrt{38}} left( begin {array}{c} 13 \ e \ 98 end{array} right) $$
add a comment |
up vote
1
down vote
accepted
up vote
1
down vote
accepted
The generic formula for the directional derivative of a function $f$ in the direction $u$ (for a unit vector) is $D_u f (x,y,z) = nabla f(x,y,z) cdot u$. For a vector, just do this to all the components.
Let's look at the example you give. Let's call $f_1(x,y,z) = x^3+y^2+z$, $, f_2(x,y,z) = ze^x$, and $f_3(x,y,z) = xyz - 9xz$. Then the gradients are
$$ begin {align*} nabla f_1 &= (3x^2, , 2y, , 1) \
nabla f_2 &= (ze^x, , 0, , e^x) \
nabla f_3 &= (yz - 9z, , xz, , xy - 9x)
end {align*}
$$
At your particular point $(1,2,3)$, these are:
$$ begin {align*}
nabla f_1(1,2,3) &= (3,4,1) \
nabla f_2(1,2,3) &= (3e,0,e) \
nabla f_3(1,2,3) &= (-27,3,-7)
end {align*}
$$
The formula I mentioned above for directional derivative requires a UNIT vector. Since the vector you give, $u = (2,3,-5)$ is NOT a unit vector, we have to rescale it, and instead use the vector
$$ w = frac{1}{|u|}u = frac{1}{sqrt{38}}(2,3,-5) $$
Now finally use the formula:
$$ begin {align*}
D_w f_1(1,2,3) &= frac{1}{sqrt{38}}(2,3,-5) cdot (3,4,1) = frac{13}{sqrt{38}} \
D_w f_2(1,2,3) &= frac{1}{sqrt{38}}(2,3,-5) cdot (3e,0,e) = frac{e}{sqrt{38}} \
D_w f_3(1,2,3) &= frac{1}{sqrt{38}}(2,3,-5) cdot (-27,3,-7) = frac{98}{sqrt{38}}
end {align*}
$$
Putting it all together, the directional derivative of your vector function $v(x,y,z)$ in the direction u (also the same as direction w) is given by
$$ frac{1}{sqrt{38}} left( begin {array}{c} 13 \ e \ 98 end{array} right) $$
The generic formula for the directional derivative of a function $f$ in the direction $u$ (for a unit vector) is $D_u f (x,y,z) = nabla f(x,y,z) cdot u$. For a vector, just do this to all the components.
Let's look at the example you give. Let's call $f_1(x,y,z) = x^3+y^2+z$, $, f_2(x,y,z) = ze^x$, and $f_3(x,y,z) = xyz - 9xz$. Then the gradients are
$$ begin {align*} nabla f_1 &= (3x^2, , 2y, , 1) \
nabla f_2 &= (ze^x, , 0, , e^x) \
nabla f_3 &= (yz - 9z, , xz, , xy - 9x)
end {align*}
$$
At your particular point $(1,2,3)$, these are:
$$ begin {align*}
nabla f_1(1,2,3) &= (3,4,1) \
nabla f_2(1,2,3) &= (3e,0,e) \
nabla f_3(1,2,3) &= (-27,3,-7)
end {align*}
$$
The formula I mentioned above for directional derivative requires a UNIT vector. Since the vector you give, $u = (2,3,-5)$ is NOT a unit vector, we have to rescale it, and instead use the vector
$$ w = frac{1}{|u|}u = frac{1}{sqrt{38}}(2,3,-5) $$
Now finally use the formula:
$$ begin {align*}
D_w f_1(1,2,3) &= frac{1}{sqrt{38}}(2,3,-5) cdot (3,4,1) = frac{13}{sqrt{38}} \
D_w f_2(1,2,3) &= frac{1}{sqrt{38}}(2,3,-5) cdot (3e,0,e) = frac{e}{sqrt{38}} \
D_w f_3(1,2,3) &= frac{1}{sqrt{38}}(2,3,-5) cdot (-27,3,-7) = frac{98}{sqrt{38}}
end {align*}
$$
Putting it all together, the directional derivative of your vector function $v(x,y,z)$ in the direction u (also the same as direction w) is given by
$$ frac{1}{sqrt{38}} left( begin {array}{c} 13 \ e \ 98 end{array} right) $$
answered Nov 16 at 0:03
Nick
2,217189
2,217189
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Just compute the directional derivative of each of the three components separately. The geometric meaning is that this vector tells you the infinitesimal change of your vector field.
– Nick
Nov 14 at 17:03
would you please elaborate your answer? I want to see some computation..
– Rakibul Islam Prince
Nov 14 at 19:52