Midterm 2 Flashcards

1
Q

∫sin^2(x)

A

(1/2)x - (1/4)sin(2x)

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2
Q

∫cos^2(x)

A

(1/2)x + (1/4)sin(2x)

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3
Q

∫sin

A

-cos

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4
Q

∫cos

A

sin

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5
Q

∫tan

A

ln|sec|

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6
Q

Jacobian of spherical coordinates

A

p^2 * sin(phi)

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7
Q

Jacobian of cylindrical coordinates

A

r

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8
Q

Implicit differentiation

A

Set the original function equal to zero (if the function is of the form f(x,y,z) = d
dz/dx = -Fx/Fz
The derivative with respect to x divided by the derivative with respect to z
dz/dy = -Fy/Fz
The derivative with respect to x divided by the derivative with respect to z

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9
Q

Implicit differentiation practice problem
x^3 + y^3 - 6xy = 0
dy/dx = ?

A

-Fx/Fy
-(3x^2 - 6y)/(3y^2 - 6x)

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10
Q

Chain rule
If you have to find the derivative of a function with respect to multiple variables (something like du/ds when you have equations for x, y, z, relative to r, s, t) what do you do?

A

Follow this tree

……u
../ | \
.x y z
/|\ /|\ /|\
rst rst rst

aka follow the path first to x y and z then to the bottom part (ds)
so if I followed to find the x component, I would find the u function derivative with respect to x, then the u function derivative with respect to s, then I would multiply those together. I would then do the same for y and z, then sum them together for du/ds

AFTER THE SUM YOU NEED TO SUBSTITUTE THE VARIABLES SO THAT DU/DS IS NOT RELATIVE TO X Y Z BUT RST

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11
Q

How to read du/dx

A

Derivative of the u function with respect to x

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12
Q

Directional Derivatives given a differentiable function with respect to x and y and u = ⟨a,b⟩

A

Fx(x,y)a + Fy(x,y)b
(u IS THE UNIT VECTOR)

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13
Q

Directional derivatives with respect to an angle (from the direction of the gradient vector) instead of u = ⟨a,b⟩

A

Fx(x,y)cos(theta) + Fy(x,y)sin(theta)

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14
Q

What is a gradient vector?

A

⟨Fx,Fy⟩

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15
Q

How can we rewrite the directional derivative with respect to the gradient vector? (f(x,y) and u = ⟨a,b⟩)

A

▽F * u
⟨Fx,Fy⟩ * u
(u IS THE UNIT VECTOR)

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16
Q

The maximum value of a directional derivative is…

A

|▽F|
and it occurs when u is in the same direction at the gradient vector ▽F

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17
Q

Equations for normal lines and tangent planes

A

to find the equation for the tangent plane, you simply find Fx Fy and Fz
Then you plug in the point you are given to give you a, b, and c. The tangent plane is defined by a(x - x1) + b(y - y1) + c(z - z1) = 0

The symmetric equations of the normal line are
(x - x1)/a = (y - y1)/b = (z - z1)/c

18
Q

Second Derivatives test for mins and maxes (formula)

A

D = Fxx(a,b)Fyy(a,b) - [Fxy(a,b)]^2

19
Q

What do the values for the D test mean

A

D > 0 and Fxx > 0: Local min
D > 0 and Fxx < 0: Local max
D < 0: Saddle point
D = 0: We know nothing

20
Q

How to set up LaGrange multipliers

A

▽F(x,y) = λ▽G(x,y)
So Fx = λGx, Fy = λGy and then we have the constraint function G(x,y) = C

21
Q

How to use LaGrange multipliers to solve for the closest and/or furthest points from another object

A

Find the distance equation then square it to find F(x,y,z)
G(x,y,z) is the equation of the plane
The constraint is G(x)
Fx = λGx
Fy = λGy
Fz = λGz
G(x,y,z) = c
Use LaGrange Multipliers

22
Q

Implicit Function Theorem requirements

A

F is defined on a disc containing a, b
Fy =/= 0
Fx and Fy are continuous on the disc

23
Q

What maximizes the gradient vector?

A

When u is in the same direction as the gradient vector, therefore theta is zero making cos(theta) = 1

I guess just plug in the point at which you want to maximize the rate of change and that gives you the vector, then the magnitude of that vector is the rate of change

24
Q

How to find local maxes and minimums of a 2d function

A

Find in the range where Fx(a,b)=0 and Fy(a,b) = 0

25
Q

How to find the absolute maximum and minimum values on a domain

A

First check local maxes and mins by using Fx and Fy = 0
Then you have to check the edges, this is done by fixing x or y, then you can check those lines by checking the derivative = 0 again
Then you check all the endpoints/corners

26
Q

How to solve LaGrange multipliers

A

Solve for zero with the different equations then get points for the different circumstances that are possible (if (x-1)(lambda +1) = 0, then you need to check for the points such that x = 1 or lambda = -1)

27
Q

Fubini’s theorem

A

You can switch bounds around
if x and y are bounded by constants then
bd
∫..∫f(x,y)dydx is the area!!!111!1
ac

28
Q

What is a Type 1 integral?

A

Where y depends on x, but x has hard boundries

29
Q

What is a Type 2 integral?

A

Where x depends on y, but y has hard boundries

30
Q

Polar Coordinates and cylindrical cordinates

A

r^2 = x^2 + y^2
x = rcos(theta)
y = rsin(theta)
Jacobian: r
tan(theta): y/x
(cylindrical)
z = z

31
Q

density and centers of mass

A

To find mass
∫∫p(x,y)dA
To find x-bar
1/m * ∫∫xp(x,y)dA
To find y-bar
1/m * ∫∫yp(x,y)dA

32
Q

What must be true in an integral that has bounds that are dependent on other variables

A

The first integral must have bounds in terms of numbers

The second integral can only be in terms of ONE variable, and the dx/dy/dz cannot have the same variable

The third integral can have up to TWO variables and the dx/dy/dz variable must be the one NOT included in the bounds

33
Q

Spherical
Coordinates

A

x = psin(φ)cos(θ)
y = psin(φ)sin(θ)
z = pcos(φ)
Jacobian: p^2 sin(φ)
p^2 = x^2 + y^2 + z^2
0 <= φ <= pi
0 <= θ <= 2pi
p >= 0

34
Q

How to set up LaGrange multipliers with three functions (f, g, and h)

A

▽F(x,y,z) = λ▽G(x,y,z)+μ▽H(x,y,z)
G(x,y,z) = c
H(x,y,z) = k

35
Q

In spherical coordinates, r = ?

A

r = psin(φ)

36
Q

When before solving an equation do you need to move z to the other side of f(x,y)?

A

In solving for the tangent plane when the initial equation is given in f(x,y)
You also need to solve for z using the x and y given to you

37
Q

How is the Jacobian matrix set up

A

With xyz variables consistent horizontally and uvw variables consistent vertically

x x x
y y y
z z z

u v w
u v w
u v w

Absolute value of that determinant

38
Q

What is a polar rectangle

A

a rectangle where r stays constant, like the shape of a rainbow
not dependent on θ

39
Q

U substitution in an iterated integral steps

A

Find a new u = a formula containing x and y so that the integral is much simpler
differentiate the u formula in terms of the dx or dy that is on the outside of the integral
rewrite the inside in terms of u with the other parts that come from the above steps

Now you have to rewrite the bounds

rewrite the bounds by plugging in the original bounds into the u equation
Example: u = x^2 + y^2 and original bound were y = x to y = 2x
You get u = x^2 + x^2 and u = x^2 + (2x)^2
Then you plug these bounds back in for the full substitution

then SOLVE!!!!!

40
Q

integral of 1/x

A

ln(abs(x))