What Directions at Point (2, 0) Make the Rate of Change -1 for f(x, y) = xy?

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SUMMARY

The discussion focuses on determining the directions at the point (2, 0) for the function f(x, y) = xy that yield a rate of change of -1. The gradient at this point is calculated as ∇f(2,0) = (0, 2). By applying the directional derivative formula D_{u}(f)(2,0) = ∇f(2,0)·(u_{1}, u_{2}), the user finds that u_{2} must equal -0.5, while u_{1} can take infinitely many values unless constrained to be a unit vector. When u_{1} is defined as a unit vector, it can only take two specific values: ±(√3)/2.

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ilyas.h
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Homework Statement

In what directions at the point (2, 0) does the function f(x, y) = xy have rate of change -1?[itex]D_{u}(f)(a,b) = \bigtriangledown f(a,b)\cdot (u_{1}, u_{2})[/itex]

[itex]f(x,y) = xy[/itex]

[itex](a,b) = (2,0).[/itex]

The Attempt at a Solution


[itex]\frac{\partial f}{\partial x} = y[/itex]

[itex]\frac{\partial f}{\partial y} = x[/itex]

[itex]\bigtriangledown f(2,0) = (\frac{\partial f}{\partial x}, \frac{\partial f}{\partial y})= (y, x) = (0, 2)[/itex]

plugging in:

[itex]D_{u}(xy)(2,0) = \bigtriangledown f(0,2)\cdot (u_{1},u_{2}) = -1[/itex]

[itex](0,2)\cdot (u_{1},u_{2}) = -1[/itex]

[itex]u_{2} = -0.5[/itex]

[itex]u_{1}[/itex] has infinitely many values.

the last line above is the part I am confused about. Are there infinitely many values for u1? thanks.
 
Last edited:
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ilyas.h said:

Homework Statement

In what directions at the point (2, 0) does the function f(x, y) = xy have rate of change -1?[itex]D_{u}(f)(a,b) = \bigtriangledown f(a,b)\cdot (u_{1}, u_{2})[/itex]

[itex]f(x,y) = xy[/itex]

[itex](a,b) = (2,0).[/itex]

The Attempt at a Solution


[itex]\frac{\partial f}{\partial x} = y[/itex]

[itex]\frac{\partial f}{\partial y} = x[/itex]

[itex]\bigtriangledown f(2,0) = (\frac{\partial f}{\partial x}, \frac{\partial f}{\partial y})= (y, x) = (0, 2)[/itex]

plugging in:

[itex]D_{u}(xy)(2,0) = \bigtriangledown f(0,2)\cdot (u_{1},u_{2}) = -1[/itex]

[itex](0,2)\cdot (u_{1},u_{2}) = -1[/itex]

[itex]u_{2} = -0.5[/itex]

[itex]u_{1}[/itex] has infinitely many values.

the last line above is the part I am confused about. Are there infinitely many values for u1? thanks.

Do you want/need ##\vec{u} = (u_1,u_2)## to be a unit vector? If so, there are only two possible values of ##u_1##; if not, there will be infinitely many values of ##u_1##. As before, you need to use additional information if you have it.
 
Ray Vickson said:
Do you want/need ##\vec{u} = (u_1,u_2)## to be a unit vector? If so, there are only two possible values of ##u_1##; if not, there will be infinitely many values of ##u_1##. As before, you need to use additional information if you have it.

in the equation:

[itex]D_{u}(f)(a,b) = \bigtriangledown f(a,b)\cdot (u_{1}, u_{2})[/itex]

the (u1, u2) is a unit vector (according to my lecture notes). So you suggest that u1 has two possible values. How so? and I posted all the information there is in the Q in the thread, so no missing links. I am quite confused,

edit: I think I know now, from definition of a unit vector: (u1)^2 + (u2)^2 = 1^2

plug in and you'll get u1 = +/- (root3)/2
 
Last edited:

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