A point on the graph of a function where no other nearby points have a lesser y-coordinate.
Back
Quotient Rule
Front
Back
Product Rule
Front
Back
g(x) is concave up
Front
g''(x) is positive
Back
Total Distance
Front
Total distance traveled
to do this calculate integral of velocity graph positive and negative sections separately and add absolute value of those together.
Back
g(x) changes directions
Front
g'(x) passes through 0
Back
Local/Relative Maximum
Front
A point on the graph of a function where no other nearby points have a greater y-coordinate.
Back
g(x) is increasing
Front
g'(x) is positive
Back
Particular Solution
Front
Integration that has value for c solved for by plugging in a known coordinate pair
Back
U-Substitution
Front
Back
g(x) is concave down
Front
g''(x) is negative
Back
Trapezoidal Sums
Front
Riemann Sums done with averaging two points instead of picking a side
can be more accurate
Back
Euler's Method
Front
a method of approximation helpful when dy/dx has x and y terms in it
Back
Area Between Curves
Front
with f(x) on top and g(x) on bottom
a and b represent bounds or where the two graphs intersect
Back
g(x) has a point of inflection
Front
g''(x) passes through 0 or DNE
Back
Chain Rule
Front
also applies to Trig functions, natural logs, and e
Back
Stationary Points
Front
Maximum Points, Minimum Points, and Points of Inflection
Back
Disc Method of Rotation
Front
V = pi * int from a to b of R(x)^2 dx
R(x) is radius and dx is height
rotated around variable inside
Back
Area Under the Curve
Front
Integral or antiderivative
Back
Critical Point
Front
Occurs when f'(x) = 0
Can be a min, max, or neither
Back
Slope Fields
Front
Drawing the slopes at different points for a function (often that is difficult to integrate) can help predict the shape of the function
Back
Absolute Minimum
Front
The lowest point of the function
Needs to be proved with critical points and the limits as x approaches - infinity and + infinity
Back
Slope
Front
Rise over run
Back
Partial Fractions
Front
Splitting up a fraction into its parts can make integration easier!
Back
L'Hopital's Rule
Front
if lim x --> of g(x)/f(x) is 0/0 then you can derive
Back
Continuity
Front
A function is uninterrupted, this implies integratibility
Back
Instantaneous Rate of Change
Front
the rate of change at a particular moment, for F(x) this would be F'(x)
Back
Velocity
Front
The speed at which an object is traveling
velocity function is the derivative of a position function in relation to time.
Back
Definition of A Derivative
Front
we say that f is differentiable at x = a and the limit is the derivative of f(x) at x = a, denoted by f prime of a.
Back
Slowing Down
Front
Acceleration has the opposite sign as Velocity
Back
Displacement
Front
The distance and direction of an object's change in position from the starting point.
function is given in relation to time
Back
Related Rates
Front
A class of problems in which rates of change are related by means of differentiation. Standard examples include water dripping from a cone-shaped tank and a man's shadow lengthening as he walks away from a street lamp.
Back
Mean Value Theorem
Front
the average value on a certain integral must have a value of x that it is equal to
Back
g(x) is decreasing
Front
g'(x) is negative
Back
Shell Method of Rotation
Front
V = 2pi int from a to b of ( x F(x) ) dx
rotated around opposite variable inside
Back
Absolute Maximum
Front
The y-value of a point on a graph that is higher than any of the other points on the entire graph.
Needs to be proved with critical points and the limits as x approaches - infinity and + infinity
Back
Linear Approximation
Front
Using the tangent line to approximate nearby values
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Intermediate Value Theorem
Front
Back
2nd Fundamental Theorem of Calc
Front
d/dx (int from c to x of f(t) dt) = f(x)
Back
Tangent Line
Front
Straight line on the curve at a given point that can be used to estimate values near by
Back
Integration by Parts
Front
int u dv = u v - int v du
Back
1st Fundamental Theorem of Calc
Front
int from a to b of f'(x) dx = f(b) - f(a)
Back
Washer Method of Rotation
Front
V = pi * int from a to b of ( R(x)^2 - r(x) ^2 ) dx
R(x) is furthest away from axis
r(x) is closest to axis
rotated around variable inside
Back
Average Value
Front
finds the average value of a function. often related to the mean value theorem
Back
Find int 0 to infinity of f(x) dx
Front
substitute b and do lim as b--> infinity
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Extreme Value Theorem
Front
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Acceleration
Front
The rate at which velocity changes
Acceleration function is the derivative of a velocity function in relation to time
Back
Riemann Sums
Front
A Riemann Sum is a method for approximating integrals
Back
Average Rate of Change
Front
the change in the value of a quantity divided by the elapsed time
Back
Speeding Up
Front
Acceleration has the same sign as Velocity
Back
Section 2
(25 cards)
Alternating Series Test
Front
An = (-1)^n bn , bn>=0
is bn+1 <= bn and lim n-> infinity of bn=0 series converges
Back
Parametric Length of Curve
Front
int of a to b of sqrt ( (dx/dt)^2 + (dy/dt)^2)
Back
Power Series
Front
sum from n to infinity of (a*x^x)
Back
Particle motion
Front
s = ( x(t) , y(t) )
v = ( x'(t), y'(t) )
a = ( x''(t), y''(t) )
Back
Lagrange Error Bound
Front
Back
Direct Comparison Test
Front
Back
Geometric Series Test
Front
An = a r^(n-1) , n>= 1
|r| < 1 converges to a/(1-r)
Back
series for e^x
Front
e^x = 1 + x + (x^2)/2! + (x^3)/3! + ...
Back
Series for cos x
Front
Back
Polar Coordinates
Front
(r,theta)
Back
Interval of Convergence
Front
Determined using ratio of convergence
Back
p-series test
Front
Back
Polar Derivatives
Front
dy/dx = (dy/dtheta)/(dx/dtheta)
Back
Maclaurin Series
Front
a Taylor series about x=0
Back
Parametric Integrals
Front
integrals normal but with position vectors and relative to t
Back
nth term test for divergence
Front
Back
Limit Comparison Test
Front
Back
Ratio Test
Front
lim n-> inf |(An+1 / An)| < 1 series converges
Back
Parametric Coordinates
Front
(x(t),y(t))
Back
Polar Length of Curve
Front
int of alpha to beta of sqrt ( (dx/dtheta)^2 + (dy/dtheta)^2)
if the function f is smooth at x=a, then it can be approximated by the nth degree polynomial f(x) ~ f(a) + f'(a)(x-a) + f"(a)(x-a)^2/2! + ... + f^n(a)(x-a)^n/n!