Final Flashcards

1
Q

if two vectors are orthogonal, then

A

a dot b = 0

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2
Q

what is the scalar projection of b onto a

A

(a dot b) / (|| a ||)

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3
Q

what is the vector projection of b onto a

A

( (a dot b) / (|| a ||)^2 ) * a

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4
Q

how do you find a vector orthogonal to both a and b

A

a x b

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5
Q

how do you tell if two vectors are parallel

A

a x b = 0

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6
Q

how do you find a volume of three vectors

A

|| a dot (b x c) ||

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7
Q

what is the parametric equation through the point (x0, y0, z0) and parallel to the point

A

x = x0 + at

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8
Q

how do you find a symmetric equation of a line

A

find the parametric equation and solve for t

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9
Q

what is the equation of the line segment from r0 to r1

A

r(t) = ( 1 - t )r0 + tr1

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10
Q

what is the scalar equation of a plane through the point P(x0, y0, z0) with the normal vector n(a, b, c)

A

a(x-x0) + b(y-y0) + c(z-z0) = 0

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11
Q

what is the distance from the point P(x0, y0, z0) to the plane ax + by + cz + d = 0

A

|| ax0 + by0 + cz0 + d || / sqrt( a^2 + b^2 + c^2 )

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12
Q

what is an equation of a tangent plane to the surface z = f(x,y) at the point P(x0, y0, z0)

A

z - z0 = fx(x0,y0)(x - x0) + fy(x0,y0)(y - y0)

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13
Q

what is the linearization of f at a, b

A

L(x,y) = f(a,b) + fx(a,b) (x - a) + fy(a,b) (y - b)

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14
Q

explain the chain rule using the tree method

A

create a diagram that relates each of the variables and the partials to get to new variables. for example, z is in terms of x and y so (partial z) / (partial x) gives in terms of x, now x and y are in terms of s and t so (partial x/ partial t) gives t and (partial y / partial t) gives t so when added you get the equation with respects to t

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15
Q

how do we use implicit differentiation in two variables

A

dy/dx = - (Fx)/(Fy)

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16
Q

what is the directional derivative of a unit vector u = <a></a>

A

Du f(x,y) = fx(xy) a + fy(xy) b

17
Q

what is a directional derivative with three variables

A

Du f(x,y,z) = gradient f(x,y,z) dot u

18
Q

how do you find a local maximum or minimum

A
1. complete the second derivative test
D(a,b) = fxx(a,b) fyy(a,b) - [fxy(a,b)]^2
2. figure out results
D>0 & fxx>0 --> local min
D>0 & fxx<0 --> local max
D<0               --> saddle point
19
Q

how do you find critical points

A

find all points where the first derivative = 0 or does not exist

20
Q

how do you find absolute max and mins

A
  1. find all critical points
  2. find all extreme values of f on the boundary of D
  3. the largest values and smallest values from steps 1 and two are the absolute max and min
21
Q

what is the method of Lagrange multipliers

A

this is a way of finding maximum and minimum values of f(x,y,z) subject to the constraint g(x,y,z) = k

1. find all values of (x,y,z) where
gradient f(x,y,z) = lambda gradient g(x,y,z)
and g(x,y,z) = k
  1. evaluate all found points from part one to find the largest and smallest values
22
Q

how do you convert between polar and rectangular coordinates

A
r^2 = x^2 + y^2 
x = r cos theta
y = r sin theta
23
Q

how do you find surface area

A

double integral of sqrt( [fx(x,y)]^2 + [fy(xy)]^2 +1 )

24
Q

how to convert from rectangular to cylindrical coordinates

A

r^2 = x^2 + y^2
tan theta = y/x
z=z

25
Q

what is a triple integral of spherical coordinates

A

SSS ( [(roe)sin(phi)cos(theta), (roe)sin(phi)sin(theta), (roe)cos(phi)] (roe)^2sin(phi) d(roe)d(theta)d(phi)

26
Q

what is the line integral of F along C

A

S (F dot dr) = S [F(r(t)) dot r’(t)] dt = S (F dot T) ds

27
Q

what is the formula for a line integral

A

S (Pdx + Qdy + R) dz

28
Q

when is a vector field conservative

A

partial P / partial y = Partial Q / partial x

29
Q

what is greens theorem

A

SS ( (partial Q / Partial x) - (partial P / partial y))

30
Q

find the area of D using greens theorem

A

S(x)dy = -S(y)dx = 1/2 S ( [x dy] - [y dx]

31
Q

what is the curl of F

A

Gradient cross F

32
Q

what is the divergence of F

A

Gradient dot F

33
Q

what is a line integral using curl

A

SS (curl F) dot K dA