Query116

#$&*

course Mth 277

1055pm 12/3/2011

If your solution to stated problem does not match the given solution, you should self-critique per instructions at

http://vhcc2.vhcc.edu/dsmith/geninfo/labrynth_created_fall_05/levl1_22/levl2_81/file3_259.htm

.

Your solution, attempt at solution. If you are unable to attempt a solution, give a phrase-by-phrase interpretation of the problem along with a statement of what you do or do not understand about it. This response should be given, based on the work you did in completing the assignment, before you look at the given solution.

At the end of this document, after the qa problems (which provide you with questions and solutions), there is a series of Questions, Problems and Exercises.

11.6

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Question: `q001. Find grad(f) when f(x,y,z) = e^(x+y+z).

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Your solution:

f_x = e^(x+y+z)

f_y = e^(x+y+z)

f_z = e^(x+y+z)

grad(f) = f_xi + f_yj + f_zk

grad(f) = e^(x + y + z) i + e^(x + y + z) j + e^(x + y + z) k

confidence rating #$&*:

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Given Solution: grad(f) = del f = e^(x + y + z) i + e^(x + y + z) j + e^(x + y + z) k.

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Self-critique (if necessary): OK

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Self-critique rating:

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Question: `q002. Find the directional derivative of f(x,y) = x^2 + xy at the point (1, -1) in the direction of the vector v = i - j.

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Your solution:

f_x = 2x + y

f_y = x

grad(f) = (2 x + y) i + x j

I wasn't sure how to do the rest, so I looked at the given solution.

grad(1,-1) = (2 x + y) i + x j

= 2(1) -1 i + j

= i + j

magnitude of the gradient is sqrt(2)

unit vector in the direction of the vector v = i - j is

'u = 1/sqrt(2) * <1,-1>

= <1/sqrt(2), -1/sqrt(2)>

directional derviative in the direction of v

<1,1> dot <1/sqrt(2), -1/sqrt(2)> = 1/sqrt(2) - 1/sqrt(2) = 0

confidence rating #$&*:

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Given Solution:

grad(f) = del f = (2 x + y) i + x j.

At (1, -1) the gradient is therefore i + j.

The unit vector in the direction of v is sqrt(2) / 2 * (i - j).

The directional derivative in the direction of v is the dot product of the gradient and the unit vector.

In this case the directional derivative is zero. At the point (1, -1) the direction of the vector v is the one in which f(x, y) has zero rate of change.

v would be tangent to a level curve at (1, -1).

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Self-critique (if necessary):

Still trying to wrap my head around this concept. I understand the math, the visuals are hard to see. But I understand the a directional derivative is the slope at a given point,

and since the point is tangent to the curve, the slope would equal zero.

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Self-critique rating:3

@&

The direction derivative tells you the rate at which the value of the function changes if start out from (1, -1) and move in the given direction.

That direction is a combination of x and y directions, so the directional derivative will be a combination of the x and y partial derivatives at the point. The more of your motion is in the x direction the closer the directional derivative will be to the x partial derivative. The more of the motion is in the y direction the closer the directional derivative will be to the y partial derivative.

If the unit vector in your direction of motion is cos(theta) `i + sin(theta) * `j, then the directional derivative is f_x cos(theta) + f_y sin(theta).

The direction of the vector v = `i - `j is 7 pi / 8, so the directional derivative is f_x cos(7 pi / 8) + f_y sin(7 pi / 8) = sqrt(2) / 2 f_x - sqrt(2) / 2 f_y. At the given point f_x = f_y = 1, so the directional derivative is found to be zero.

This agrees with what you get when you take the dot product of the gradient with the unit vector sqrt(2) / 2 `i - sqrt(2) / 2 `j. The result is

(i + j) dot (sqrt(2) / 2 `i - sqrt(2) / 2 `j)

which is zero, in agreement with the previous result.

*@

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Question: `q003. Find a unit vector which is normal to the surface given by the equation 2 = x^3 + 2xy^2 + 3y - z at the point P = (1,1,1).

Also find the equation of the tangent plane at this point using this information.

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Your solution:

f_x = 3x^2 + 2y^2

f_y = 4xy + 3

f_z = -1

grad(f) = (3x^2 + 2y^2) i + (4xy + 3) j - k

grad(1,1,1) = 5i + 7j - k

'u = 1/5sqrt(3) <5,7,-1>

plane at point (1,1,1)

(x-1) + (y-1) + (z-1) = 0

is tangent to equation, so therefore the slope of the equation times the plane at P(1,1,1) is normal to the equation.

5 (x - 1) + 7 ( y - 1) - (z - 1) = 0

5x - 5 + 7y - 7 - z + 1 = 0

5x + 7y - z = 11

confidence rating #$&*:

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Given Solution: The gradient of f(x, y, z), evaluated at a point, is normal to the surface.at that point.

The gradient is easily found to be

grad f = (3 x^2 + 2 y^2) i + (4 x + 3) j - k. At (1, 1, 1) the gradient is therefore (5 i + 7 j - k).

The tangent plane passes through (1, 1, 1) and is normal to 5 i + 7 j - k.

A point (x, y, z) lies on the tangent plane if the vector (x - 1) i + (y - 1) j + (z - 1) k is perpendicular to the normal vector.

So (x, y, z) lies on the plane if the dot product of this vector and the normal vector is zero.

The dot product is 5 (x - 1) + 7 ( y - 1) - (z - 1), so the equation of the tangent plane is

5 (x - 1) + 7 ( y - 1) - (z - 1) = 0, which simplifies to

5 x + 7 y - z - 11 = 0.

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Self-critique (if necessary): OK

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Self-critique rating:

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Question: `q004. Find the direction from the point P = (1,e,-1) in which the function f(x,y,z) = z ln (y/x) increases the most rapidly and compute the

magnitude of the greatest rate of increase.

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Your solution:

z ln (y/x) = z [lny - lnx]

f_x = -z/x

f_y = z/y

f_z = ln(y/x)

grad(f) = -z/x i + z/y j + ln(y/x) k

grad(1,e,-1) = i + -1/e j + k

||grad|| = sqrt(2+1/e^2)

1/sqrt(2+1/e^2) <1,-1/e,1>

=

confidence rating #$&*:

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Given Solution: The gradient is -z/x i + (z/y) j + ln(y/x) k.

At (1, e, -1) we get i + 1/e j + k.

A unit vector in this direction is u = i / sqrt(2 + 1/e^2) + j ./ (e sqrt(2 + 1/e^2)) + k / sqrt(2 + 1/e^2), approximately .68 i + .25 j + .68 k.

The magnitude of this vector is sqrt(2 + 1/e^2). The magnitude of the gradient is the greatest rate of increase.

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Self-critique (if necessary):

I got the unit vector wrong. I understand what I did wrong.

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Self-critique rating: 3

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Question: `q005. A particle P1 with mass m1 is located at the origin, and a particle P2 with mass 1 unit is located at the point (x,y,z).

According to Newton's law of universal gravitation, the force P1 exerts on P2 is modeled by F = -G(m1(xi + yj + zk))/r^3 where r is the distance

between P1 and P2 and G is the gravitational constant.

Starting from the fact that r^2 = x^2 + y^2 + z^2, show that d/dx*(1/r) = -x/r^3, d/dy*(1/r) = -y/r^3 and d/dz(1/r) = -z/r^3. (Here d/dx denotes partial

with respect to x) The function V = -G*m1/r is called the potential energy function for the system. Show that F = -grad(V).

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Your solution:

F = -G(m1(xi + yj + zk))/r^3

r^2 = x^2 + y^2 + z^2

r_x = 2x

r_y = 2y

r_z = 2z

grad(r) = 2xi + 2yj + 2zk

sqrt(4x^2 + 4y^2 + 4z^2) is magnitude of gradient

u' = 1/sqrt(4x^2 + 4y^2 + 4z^2) <2x, 2y, 2z>

=

d/dx*1/u' = <-x/(2x^2 + 2y^2 + 2z^2)^3, -y/(2x^2 + 2y^2 + 2z^2)^3, -z/sqrt(2x^2 + 2y^2 + 2z^2)^3>

d/dx*(1/r) = -x/r^3

d/dy*(1/r) = -y/r^3

d/dz*(1/r) = -z/r^3

AND

V = -G*m1/r

V_r = Gm1/r^2 is equal to Gm1/u'

F = -grad(V).

confidence rating #$&*:

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Given Solution: 1/r = 1 / sqrt(x^2 + y^2 + z^2) = (x^2 + y^2 = z^2)^(-1/2), so d/dx (1/r) = 2 x * (-1/2) (x^2 + y^2 + z^2)^(-3/2) = -x / (sqrt(x^2 + y^2 + z^2)) ^3 = -x / r^3.

The results for the y and z derivatives are acquired by a completely analogous series of steps.

It follows that the gradient of V = - G m1 / r is

V_x i + V_y j + V_z k = -G m1 * ( -x / r^3 i - y / r^3 j - z / r^3 k ). Simple rearrangement shows that this is identical to the force function F.

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Self-critique (if necessary):

YES SIR! :)

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Self-critique rating:3"

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#*&!

&#Good responses. See my notes and let me know if you have questions. &#