Need help with gradient question.

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SUMMARY

The discussion focuses on solving a gradient problem involving the function f at the point (1,-1). The maximum rate of change of f is given as 25, occurring in the direction of the vector 3i - 4j. Participants clarified that the gradient ∇f can be determined by scaling the direction vector to match the maximum rate of change, leading to the equations ∇f * u = |∇f| and f_x^2 + f_y^2 = |∇f|^2. The solution involves calculating the components of the gradient based on these principles.

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Homework Statement



I have been able to solve all the gradient problems when you are given the starting point, and the actual function. But I am getting caught up on this one which goes in reverseSuppose that the maximum rate of change of f at (1,-1) is 25 and it occurs in the direction of 3i ⃗-4j ⃗

b) Find ∇f at (1,-1). c) Find [itex]f_x[/itex](1,-1). d) Find [itex]f_y (1,-1)[/itex].

Homework Equations

Well I know that [itex]∇f* u = |∇f|[/itex]
and I think we know that [itex]f_x^2 + f_y^2 = |∇f^2|[/itex]

The Attempt at a Solution


Thus I set up the system of equations and solved the quadratic which resulted. However this seemed wrong to me, and I wanted to double check that what I attempted here was correct. Also it seemed like this question should have an easier way to come about a solution. Any guidance would be appreciated

Thank you.
 
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How about if you scale the vector (3,-4) to have length 25?

Hint: what is it's length right now?

(Details: the gradient at a point, points in the direction of steepest change, and it's length is the rate of change of f if we head a unit in that direction. Thus this is the magnitude and direction. It should be easy to find the x and y components of your gradient.)
 
Thanks I got it now. Jeez that was easy like I knew it was. I think I was having a brainfart earlier.
 

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