Test 2: 12.5 to 13.8 Flashcards

1
Q

What is the arc length of a space curve?

A

s = integral (a to b) [ ||r’(t)|| ] dt

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2
Q

What is the formula to find curvature?

A

K = ||T’(t)|| / ||r’(t)||

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3
Q

What is the process for finding position by integration, from acceleration?

A
  1. Integrate to get velocity function plus constant. 2. Set t equal to the provided velocity scalar and solve for constant C=C1 + C2 + C3. 3. Integrate again to get position function plus constant. Set t equal to provided position scalar and solve for constant C=C1 + C2 + C3.
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4
Q

What is the formula for unit tangent vector?

A

T = r’(t) / ||r’(t)||

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5
Q

What is the formula for unit normal vector?

A

N = T’(t) / ||T’(t)||

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6
Q

How do you draw level curves / contour lines?

A

Use f(x,y) = c and draw the function for changing values of c.

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7
Q

How do you find the limit of a function of x and y?

A

Set x equal to zero and find the limit. Set y equal to zero and find the limit. Set y equal to x and find the limit. If either of the limits don’t match the final one, the limit does not exist.

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8
Q

How do you find partial derivatives using the definition of partial derivatives?

A

To find F_x, Lim x->0 of f(x+dx, y) - f(x,y) / dx. To find F_y, Lim x->0 of f(x+dx,y) - f(x,y) / dy).

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9
Q

What is the formula for the total differential of the independent variables z?

A

dz = pdz / pdx * dx + pdz / pdy * dy where pd = partial derivative

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10
Q

What is the process to find maximum possible error in a measurement?

A
  1. Find the equation for the desired measurement. 2. Take the total differential of of the desired variable representing the desired measurement, using the provided possible error for dx/dy/dz. 3. Divide the total differential by the actual desired measurement, substituting in provided measurement components. Do not use negatives.
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11
Q

What is the chain rule for one independent variable?

A

dw/dt = pdw/pdx * dx/dt + pdw/pdy * dy/dt

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12
Q

What is the chain rule for two independent variables?

A

pdw/pds = pdw/pdx * pdx/pds + pdw/pdy * pdy/pds, and pdw/pdt = pdw/pdx * pdx/pdt + pdw/pdy * pdy/pdt

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13
Q

How do you draw a tree?

A

Start at the top and draw the dependent variable (usually w), draw x and y and z under w, and draw t(and s if necessary) under x,y and z.

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14
Q

How do you find dy/dx using implicit differentiation?

A

dy/dx = -F_x(x,y) / F_y(x,y)

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15
Q

How do you find pdz/pdx and pdz/pdy using implicit differentiation?

A

pdz/pdx = -F_x(x,y,z)/F_z(x,y,z). pdz/pdy = -F_y(x,y,z)/F_z(x,y,z)

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16
Q

How do you find the directional derivative of a function, given a point and a vector?

A
  1. Find a unit vector for the vector 2. Find the gradient for the function 3. Substitute the point’s coordinates in for x,y,z and find gradient dot u (where u is the unit vector)
17
Q

What is the gradient of a function?

A

gradf(x,y) = f_x(x,y)i + f_y(x,y)j

18
Q

How do you find the maximum value of the directional derivative of f(x,y)?

A

|| grad f(x,y) ||

19
Q

How do you find the minimum value of the directional derivative of f(x,y)?

A
  • || grad f(x,y) ||
20
Q

What is the equation of a tangent plane?

A

F_x(x0,y0,z0)(x-x0) + F_y(x0,y0,z0)(y-y0) + F_z(x0,y0,z0)(z-z0) = 0

21
Q

How do you find the equation of a normal line?

A
  1. Find the gradient to the surface 2. Plug in the provided point 3. Use the symmetric line equations x-x0 / v1 = y-y0 / v2 = z-z0 / v3
22
Q

For the second partials test, when does f have a relative maximum at (a,b)?

A

If d> 0 and f_xx(a,b) < 0

23
Q

For the second partials test, when does f have a relative minimum at (a,b)?

A

If d > 0 and f_xx(a,b) > 0

24
Q

For the second partials test, when does f have a saddle point?

A

If d < 0, then (a,b,f(a,b)) is a saddle point.

25
Q

When is the second partials test inconclusive?

A

When d = 0.

26
Q

What is the equation for the second partials test?

A

d = f_xx(a,b)f_yy(a,b)-[f_xy(a,b)]^2