will award medal. question posted below
start by finding the gradient
just to start since the function contains all the variables and its not in any type of vector form i do the partial for x y and z using the whole equaiton
gradient vector is just a package of partial derivatives : \[gradient(f) = \left\langle \dfrac{\partial f}{\partial x}, ~\dfrac{\partial f}{\partial y}, ~\dfrac{\partial f}{\partial z}\right\rangle \]
yea so the i have the equation \[(e^y+ze^x)i+(xe^y+e^z)j+(ye^z+e^x)k\]
Yep! evaluate the gradient at given point (0, 0, 0)
the you just get the unit vector equation, of I+j+k
so the gradient at the given point (0,0,0) is i+j+k
for directional derivaitve along <9, -7, 3>, you simply take the dot product of unit vector along this vector and the gradient
thats what i got at least then multiply and get 6
nvm i did algebra...addition like a 5 year old so wrong.
oh its not 5 either
<1, 1, 1> . <9, -7, 3>/sqrt(9^2+7^2+3^2)
5/sqrt(139)
see if that works
yooooh, thats tight. what did i do wrong?
remember you need to dot with "unit vector"
ohhh.
you get unit vector along <9, -7, 3> by dividing it by the magnitude : sqrt(9^2+7^2+3^2)
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