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Slope of a line through (x₁, y₁) and (x₂, y₂)
m = (y₂ − y₁) / (x₂ − x₁)
Point-slope form of a line
y − y₁ = m(x − x₁)
Slope-intercept form of a line
y = mx + b
Slope of a horizontal line / vertical line
0 / undefined
Quadratic formula (roots of ax² + bx + c)
x = (−b ± √(b² − 4ac)) / 2a
When does a quadratic have no real roots?
When b² − 4ac < 0
a⁰ =
1
a^(1/n) =
ⁿ√a (the nth root of a)
a^(m/n) =
(ⁿ√a)^m
a^(−u) =
1 / a^u
a^u · a^v =
a^(u + v)
(a^u)^v =
a^(uv)
(ab)^u =
a^u · b^u
e^x = y is the same as…
x = ln y
ln 1 =
0
ln e =
1
ln(e^f(x)) =
f(x)
e^(ln f(x)) =
f(x)
Limit of a continuous function as x → a
lim f(x) = f(a) (just plug in a)
When does a two-sided limit exist?
When the left limit (x → a⁻) equals the right limit (x → a⁺)
Plugging in gives 0/0. What does it mean and what do you do?
Removable discontinuity: factor and cancel, use long division (with 0 placeholders), or use L'Hospital's rule
Limit definition of the derivative
f'(x) = lim (a → x) of [f(x) − f(a)] / (x − a)
Derivative of a constant c
0
Power rule: d/dx xⁿ
n·x^(n − 1)
Constant multiple rule: d/dx c·f(x)
c·f'(x)
Sum/difference rule: d/dx [f ± g]
f' ± g'
d/dx eˣ
eˣ
d/dx ln x
1/x
Tangent line to f(x) at x = a
y − f(a) = f'(a)(x − a)
Product rule: d/dx [f·g]
f·g' + g·f'
Quotient rule: d/dx [f/g]
(g·f' − f·g') / g² ("low d-high minus high d-low, over low squared")
Chain rule: d/dx f(g(x))
f'(g(x)) · g'(x)
d/dx e^g(x)
e^g(x) · g'(x)
d/dx ln g(x)
g'(x) / g(x)
d/dx [g(x)]ⁿ
n·[g(x)]^(n − 1) · g'(x)
f'(x) > 0 means…
f is increasing
f'(x) < 0 means…
f is decreasing
Critical point
A point where f'(x) = 0
f' changes from + to −
Local maximum
f' changes from − to +
Local minimum
Second derivative f''(x)
The derivative of f'(x)
f''(x) > 0 means…
Convex (opens up like a cup / smile)
f''(x) < 0 means…
Concave (opens down like a cap / frown)
Second derivative test: f'(a) = 0 and f''(a) > 0
Local minimum at x = a
Second derivative test: f'(a) = 0 and f''(a) < 0
Local maximum at x = a
Second derivative test: f'(a) = 0 and f''(a) = 0
No conclusion
Closed interval method on [a, b]
Find critical points inside [a, b]; evaluate f (not f') at them and at a and b; largest = global max, smallest = global min
Total revenue R(x)
R(x) = x · P(x)
Profit Π(x)
Π(x) = R(x) − C(x)
Marginal cost / marginal revenue
C'(x) / R'(x)
Profit-maximizing condition
Π'(x) = 0, which means R'(x) = C'(x)
R(x) = C(x) means…
Break-even point (zero profit), not maximum profit
L'Hospital's rule (when plugging in gives 0/0)
lim f(x)/g(x) = lim f'(x)/g'(x) (differentiate top and bottom separately)
Newton's method formula
x(n+1) = x(n) − f(x(n)) / f'(x(n))
When does Newton's method fail?
When f'(xₙ) = 0 (horizontal tangent), or the estimates drift away or oscillate