Formulas Flashcards

1
Q

area underneath a line

A

integral (a to b) F(x) dx

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2
Q

exact total area between to functions

A

integral (xhigh - xlow) dy

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3
Q

volume of a 3D shape

A

(slice area) (thickness or height)

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4
Q

area of a circle

A

pie r^2

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5
Q

volume of a ring

A

(ring area)(thickness)
ring area = (pier^2out - pier^2in)

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6
Q

mass when density is constant

A

[lineal density (Kg/m)][length(m)]

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7
Q

total mass-circular

A

E (density)(2pie*r * delta r)

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8
Q

center of mass

A

(Eximi)/(Emi) = moment/total mass of all objects
xi = m
mi = Kg

y = integral ( y * mass of slice)/ integral (mass of slices)

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9
Q

volume of a circle

A

pier^2*h

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10
Q

Newtons law of heating and cooling

A

dH/dt = -a(H -Tenv)

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11
Q

drug dosing

A

dM (mg in body)/dt (time) = rate in - rate out

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12
Q

logistic growth

A

dp/dt = KP(L-P)

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13
Q

distance between 2 points in R^3

A

sqrt( (x-a)^2 + (y-b)^2 + (z-c)^2))

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14
Q

formula for a circle centered on the origin

A

x^2 + y^2 = r^2

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15
Q

linear two variable function

A

f(x,y) = mx + ny + c

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16
Q

partial derivative of f with respect to x (if no formula is given and only a chart)

A

(Fend-Fstart)/ (Xend-Xstart)

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17
Q

point-slope form

A

z = c +m(x-a) + n(y-b)

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18
Q

tangent plane formula

A

z = f(a,b) + fx(a,b)(x-a) + fy(a-b)(y-b)
- can easily be adjusted for a three or more variable function
z = f(a,b,c) + fx(a,b,c)(x-a) + fy(a-b,c)(y-b) + fz(a,b,c)(z-c)

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19
Q

|error bound|

A

= |fx(a, b)(max delta x)| + |fy(a, b)(max delta y)

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20
Q

length of a vector

A

sqrt( v1^2 + v2^2)

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21
Q

special triangles

A

(1,1, sqrt2), (1, sqrt3, 2)

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22
Q

normalization of a non-unit vector

A

(1/||V||)V = (1/(sqrt(V1^2 + V2^2))) V

23
Q

directional derivative

A

Duf(a, b) = fx(a, b) *U1 + fy(a, b) * U2
or
grad f * U

slope of the surface in the direction of U

24
Q

grad f

A

= < fx, fy>
direction of maximum increase/slope

25
Q

chain rule

A

dz/dt = (pz/pz * dx/dt) + (pz/py *dy/dt)
p = partial derivative

26
Q

is + fxx concave up or down

A

up

27
Q

volume of a cylinder

A

Pie(r)^2 h

27
Q

where do you find saddle points

A

where two contours cross and in circle clusters

28
Q

second derivative test

A

D = fxx(a,b) * fyy(a, b) - (fxy(a, b))^2
D> 0 and fxx > 0 = minimum
D > 0 and fxx < 0 = maximum
D < 0 = saddle point
D = 0 then the test is inconclusive

29
Q

surface area of a closed rectangular box (x, y, z)

A

= 2xz + 2yx + 2xy

30
Q

if lambda is > 0 then grad f and grad g…

A

have the same direction and are parallel

31
Q

if lambda is < 0 then grad f and grad g…

A

have opposite directions but are still parallel

32
Q

exponential growth and decay

A

dp/dt = KP —> P(t) = Poe^kt

33
Q

if the line is concave up Euler’s method will be an …

A

underestimate

34
Q

integration by parts

A

integral u (dv) = uv - integral v(du)
1. choose part of the integral to be u and the remaining to be dv
2. differentiate u to get du
3. integrate dv to get v
4. replace (integral u dv) with (uv - integral v(du))
5. hope/check that the new integral is easier to evaluate

35
Q

area of a triangle

A

1/2(b*h)

36
Q

sin^2(x) + cos^2(x) =

A

1

37
Q

derivative of tan(x)

A

1/ (cos(x))^2

38
Q

derivative of arctan(x)

A

1/(x^2 +1)

39
Q

derivative of arcsin(x)

A

1/sqrt(1-x^2)

40
Q

where is the radius on a cone, what will be the radius at x?

A

1/3 from the vertex
r = x/3

41
Q

what does proportional mean when making an equation

A

multiplication

42
Q

what does inversely mean when creating an equation?

A

1/x, times the reciprocal, times the inverse of the function…

43
Q

product of

A

multiplication

44
Q

difference between

A

subtraction

45
Q

acceleration

A

second derivative

46
Q

if the line is concave up Eulers method will be?

A

under estimate

47
Q

density

A

mass/volume

48
Q

how do you know if two vectors are perpendicular

A

angle between them is 90 and the dot product is 0

49
Q

partial f of x and f of y in vector terms

A

The partial derivative fx is the rate of change of f in the direction of the unit
vector ~i (towards larger x values)
* The partial derivative fy is the rate of change of f in the direction of the unit
vector ~j (towards larger y values)

50
Q

what are the three key properties of the gradient

A
  1. direction of the grad vector is the direction of maximum increase of function f at point (a, b)
  2. the grad vector is orthogonal to the level curve at (a, b)
  3. magnitude of the grad vector is the maximum rate of change of the function f.
51
Q

equation for D in the second derivative test

A

D = Fxx * Fyy - (Fxy)^2

52
Q

explain the lambda method

A

grad f = lambda grad g. find you partial derivatives, set the x and y’s equal to each other (equations one and 2) and then rewrite the constraint. then solve for lambda by dividing out x but x could equal 0 so make sure you evaluate x at 0 by plugging it into equation 3 and solving for y (this will give you critical points). once you have lambda plug it into equation 2 and solve for y, then plug the new y value into equation 3 to get the critical points. once you have all of your points make the D value table (second derivatives) and solve for D at each point.