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MAT161 · 50 formulas from 12 lectures

Formula sheet

Every key formula from the lectures, in one place. Read it the night before the exam, or print it.

01 Functions and Their Graphs

Function notation
xx
input (independent variable)
yy
f(x) = output (dependent variable)

you need to name a relationship before working with it, or evaluate it at a specific input.

Cost, revenue and profit
C(x)C(x)
total cost
R(x)R(x)
total revenue
P(x)P(x)
total profit
pp
price per unit

you are given a fixed cost, a per-unit cost, and a price, and need any of the three functions.

Composition
gg
the inner function, applied first
ff
the outer function, applied to g's output

one quantity is defined in terms of a second, which is itself defined in terms of a third, such as cost as a function of labour as a function of the wage.

Inverse function
f−1f^{-1}
the inverse of f, which exists only where f is one-to-one

you are given a demand or supply function solved for one variable and need it solved for the other.

02 Linear and Quadratic Functions

Slope-intercept form
mm
slope, the change in y per unit change in x
bb
y-intercept, the value of y when x = 0

you know the rate of change and the starting value. In cost functions, m is the variable cost per unit and b is the fixed cost.

Break-even pointCondition
R(x)R(x)
px = price times quantity
C(x)C(x)
variable cost + fixed cost

revenue and cost are both linear in x. Solve the resulting linear equation for x.

Standard form
aa
shapes the curve (a > 0 opens upward, a < 0 opens downward)
b,cb, c
shift and position the curve

you are given a quadratic in expanded form and need to identify its shape before finding the vertex.

Vertex of a parabolaKey formula
x∗x^*
the input at the vertex
f(x∗)f(x^*)
the maximum (a<0) or minimum (a>0) value

you have a quadratic profit, revenue or cost function and need the optimal quantity and the optimal value, without derivatives.

Quadratic formula
a,b,ca, b, c
the coefficients of ax^2 + bx + c
b2−4acb^2 - 4ac
the discriminant

a quadratic profit or revenue function does not factor easily, or a question directly asks for its roots (break-even points).

03 Exponential and Logarithmic Functions

Exponential function
aa
initial value, f(0)
bb
growth factor per period, b > 0, b \neq 1

a quantity grows or shrinks by the same percentage every period. b > 1 is growth; 0 < b < 1 is decay.

Compound interest
PP
principal
rr
annual interest rate
nn
compounding periods per year
tt
years

interest compounds a fixed number of times per year, such as monthly (n=12) or quarterly (n=4).

Continuous compoundingKey formula
PP
principal
rr
annual (continuous) interest rate
tt
years
ee
Euler's number, \approx 2.71828

a question says continuously compounded, or you need the theoretical upper limit of compounding more and more often.

Definition of a logarithm
bb
base, b > 0, b \neq 1
xx
the argument, x > 0
yy
the exponent that produces x

you need to convert between exponential form and logarithmic form, or as a first step before applying the log laws.

Log lawsRules
M,NM, N
positive numbers
pp
any real exponent

a variable sits inside an exponent, or a product/quotient/power needs to be broken apart before solving.

Rule of 70 (approximation)
rr
continuous annual growth rate (as a decimal)
tdoublet_double
approximate doubling time in years

you need a quick mental estimate of doubling time without a calculator, such as for inflation or GDP growth.

04 Limits

Limit notation
aa
the input value being approached
LL
the number f(x) approaches
x→ax \to a
x gets arbitrarily close to a, from either side, without ever equaling a

you need to state or compute what a function approaches near a point, especially one where the function itself may misbehave.

Existence of a two-sided limitCondition
x→a−x \to a^-
approach from the left (below a)
x→a+x \to a^+
approach from the right (above a)

a piecewise function or a graph has a possible jump, and you need to check whether the limit exists at the seam.

Limit lawsRules
f,gf, g
the two functions being combined, each with an individually existing limit

a limit is built from sums, differences or products of simpler pieces you already know how to evaluate.

Limits at infinity
n,mn, m
the degrees of the numerator and denominator
an,bma_n, b_m
their leading coefficients

a rational function's behaviour as x becomes very large is needed, such as long-run average cost.

05 Continuity

Continuity at a pointDefinition
f(a)f(a)
the function's actual value at a
thelimitthe limit
what f approaches near a

you must verify continuity rigorously, not just glance at a picture, especially at the seam of a piecewise function.

Continuous everywhere
p(x),q(x)p(x), q(x)
polynomials

you need to state the interval(s) on which a function is continuous, as a first step before applying the derivative rules of later lessons, which require continuity.

Intermediate Value TheoremTheorem
a,ba, b
the endpoints of a closed interval
cc
some point strictly between a and b

a question asks you to argue a root or an equilibrium exists, without necessarily finding its exact value.

06 The Derivative and Marginal Analysis

Average rate of change
aa
starting input
hh
change in the input
f(a+h)−f(a)f(a+h) - f(a)
change in the output

a question asks for an average rate over an interval, such as average cost per extra unit between two output levels.

Definition of the derivativeDefinition
f′(x)f'(x)
derivative of f at x, the instantaneous rate of change
h→0h \to 0
the step shrinks toward zero but never equals it

a question says from the definition or using the limit. Otherwise use the rules below, which are much faster.

Constant rule
kk
any constant

a term has no x. A flat line has slope zero, so fixed costs vanish from marginal cost.

Power ruleMost used
nn
any real number, including negatives and fractions

you see x to a power. Rewrite roots and fractions first: the square root of x is x to the 1/2, and 1/x is x to the -1.

Constant multiple and sum rules
kk
constant
f,gf, g
differentiable functions

always. Differentiate a polynomial term by term and keep the coefficients.

Marginal cost, revenue and profitEconomics
C(x)C(x)
total cost
R(x)R(x)
total revenue
P(x)P(x)
total profit
xx
units produced

a question asks for the approximate cost, revenue or profit of the next unit. Use the exact difference only if it asks for the exact change.

07 Product, Quotient and Chain Rules

Product ruleKey formula
f,gf, g
differentiable functions

two functions of x are multiplied together, and neither is a plain constant.

Quotient ruleKey formula
ff
numerator
gg
denominator, g(x) \neq 0

one function is divided by another, and the denominator is not simply a constant.

Chain ruleKey formula
ff
outer function
gg
inner function

one expression is raised to a power, or otherwise wrapped around another expression in x, such as $(3x^2+1)^5$.

08 Derivatives of Exponential and Log Functions

Derivative of the natural exponentialKey formula
ee
Euler's number, \approx 2.71828

the base is e and the exponent is exactly x, with nothing more complicated in the exponent.

Chain rule with e
g(x)g(x)
any differentiable function in the exponent

the exponent is anything other than plain x, such as kx, x^2, or -0.03x.

Derivative of the natural logKey formula
xx
the input, restricted to x > 0

the argument is exactly x. This is also the rule behind $\int \frac{1}{x}dx = \ln|x| + C$ in later courses.

Chain rule with ln
g(x)g(x)
any differentiable, positive function

the argument of ln is anything other than plain x.

General exponential and log derivatives
aa
any positive base, a \neq 1

the base is a number other than e, such as 2^x or log base 10.

Logarithmic derivativeGrowth rate
f′(x)/f(x)f'(x)/f(x)
the relative (percentage) rate of change of f at x

a question asks for a growth rate rather than an absolute rate of change — percent per period, not units per period.

09 Elasticity of Demand

Point elasticity of demandKey formula
pp
price
f(p)f(p)
quantity demanded at price p
f′(p)f'(p)
derivative of demand with respect to price

you have a demand function x = f(p) and need the elasticity at a specific price. The minus sign makes E positive, since f'(p) is normally negative (demand curves slope down).

Classifying demandRules
E(p)E(p)
point elasticity of demand at price p

you need to classify demand at a given price, as a step toward predicting the revenue effect of a price change.

Revenue and elasticityKey result
R(p)R(p)
total revenue as a function of price

you need to predict whether a price increase raises or lowers revenue at the current price.

10 First Derivative and Graphs

Increasing and decreasingRules
f′(x)f'(x)
the derivative of f, whose sign on an interval tells you the direction f is moving

you need to describe where a function rises or falls, such as where profit is growing versus shrinking.

Critical numbersDefinition
cc
a critical number of f

you are looking for possible local maxima or minima of a function, as the first step before the first-derivative test.

First-derivative testKey rule
+→−+ \to -
f' is positive just before c and negative just after
−→+- \to +
the reverse

you have found critical numbers and need to classify each one, or a question directly asks for local extrema.

11 Second Derivative and Concavity

Second derivative
f′′(x)f''(x)
second derivative of f, read 'f double prime'

you need to differentiate a function twice, such as to check concavity or apply the second-derivative test.

ConcavityRules
concaveupconcave up
graph curves upward, like a cup
concavedownconcave down
graph curves downward, like a frown

you need to describe the curvature of a graph, or confirm whether a critical point is a max or a min via the second-derivative test.

Inflection pointDefinition
cc
a candidate inflection point, whose sign change must still be confirmed, exactly as with the first-derivative test

a question asks for the point of diminishing returns, or any point where a curve changes from bending one way to the other.

Second-derivative testKey rule
iff′′(c)if f''(c)
0, the test is inconclusive and the first-derivative test must be used instead

you already have f'' available (or it is easy to compute) and just need to classify a single critical point, rather than build a whole sign chart.

12 Optimization

Extreme Value TheoremTheorem
[a,b][a, b]
a closed, bounded interval

you need to guarantee that an absolute maximum or minimum actually exists before searching for it, such as when output is capped by capacity.

Closed-interval methodProcedure

output or another decision variable is restricted to a closed interval, such as a factory's minimum and maximum capacity.

Constrained optimization by substitutionProcedure

a cost or area depends on two design variables linked by a fixed relationship, such as a fixed volume or a fixed budget.