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 $vec u=2i+3j-5k$?










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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















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 $vec u=2i+3j-5k$?










share|cite|improve this question






















  • 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













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 $vec u=2i+3j-5k$?










share|cite|improve this question













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






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share|cite|improve this question











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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


















  • 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










1 Answer
1






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oldest

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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



$$ frac{1}{sqrt{38}} left( begin {array}{c} 13 \ e \ 98 end{array} right) $$






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    1 Answer
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    1 Answer
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    up vote
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    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



    $$ frac{1}{sqrt{38}} left( begin {array}{c} 13 \ e \ 98 end{array} right) $$






    share|cite|improve this answer

























      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



      $$ frac{1}{sqrt{38}} left( begin {array}{c} 13 \ e \ 98 end{array} right) $$






      share|cite|improve this answer























        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



        $$ frac{1}{sqrt{38}} left( begin {array}{c} 13 \ e \ 98 end{array} right) $$






        share|cite|improve this answer












        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



        $$ frac{1}{sqrt{38}} left( begin {array}{c} 13 \ e \ 98 end{array} right) $$







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        share|cite|improve this answer



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        answered Nov 16 at 0:03









        Nick

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