So, according to my book, directional derivatives and gradients are related as follows: If f is differentiable at (a,b) and \[u=u_1i+u_2j\] is a unit vector, then \[fu(a,b)=f_x(a,b)u_1+f_y(a,b)u_2 = gradf(a,b)*u\] Then given the information below, can I compute the gradient as asked?
Please note that the u's, i's, and j's should have harpoons over them for vectors
I know from my book that \[grad f(a,b)=f_x(a,b)i+f_y(a,b)j\] so, I need to use what Im given to identify the directional derivatives at (5,7).
I am trying to find a link in my book, but does anyone have any idea if (and what it is) there is a link between directional derivatives and unit vectors? Im struggling to find this connection to backtrack from the unit vector or the given vector.
Anyone familiar with calculus that might know something to help?
Ok how about this given what we know, I am plugging in (5,7) for (a,b), and what I am given for u in where there are u's.. does seem ok to do?\[f_u(5,7) = \sqrt2 = f_x(5,7)u_1+f_y(5,7)u_2 = gradf(5,7)*u\]
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