This toolkit contains all of the definitions, properties, laws and theorems you need to memorize all on one webpage. These are your tools on quizzes and exams.
It also contains the Desmos animations we have seen in class!
Table of Contents
In 2.0: The Tangent Line, we saw the secant to tangent intuition by letting $h$ get as close as we want to $0$.
In 2.2: The Derivative, we saw the slopes of tangent lines tracing out the graph of the derivative.
For $f(x) = x^3 - 4x^2$:
For $f(x) = \dfrac{1}{x}$:
In 3.1, we saw how to calculate the exact area between the curve $f(x) = x^2$ and the horizontal axis on $[0, 1]$. The following animation uses left endpoints for rectangles and lets the number of rectangles grow without bound:
Letting $n\to\infty$, it seems $\displaystyle\int^1_0 x^2 \ dx = \dfrac{1}{3}$.
Terms are expressions separated by subtraction and addition.
Factors are expressions separated by multiplication.
Global context refers to the context of the entire expression.
Local context refers to a context smaller than the entire expression.
Let $a, b, c$ be real numbers.
Like terms are terms with the same factors except for the numerical factor (called the coefficient).
Given $ax^2 + bx + c$:
First, write the coefficient structure: \begin{align} ( \ \_ \ &\ \ \_ \ ) \\ (\ \_ \ &\ \ \_ \ ) \end{align} Then:
| Number of Terms | Factoring Methods to Try (in order) |
|---|---|
| 2 terms | GCF, $A^2 - B^2$ |
| 3 terms | GCF, $\text{"new" X method}, A^2 + 2AB + B^2, A^2 - 2AB + B^2$ |
| 4 terms | GCF, grouping |
| $\geq$ 5 terms | GCF |
A rule between an input (independent) quantity and an output (dependent) quantity. Must satisfy \[\require{enclose}\begin{align}1 \text{ input} &\to 1 \text{ output } {\color{green}\enclose{box}{\unicode{x2714}}} \\ \geq 2 \text{ inputs} &\to 1 \text{ output } {\color{green}\enclose{box}{\unicode{x2714}}} \\1 \text{ input} &\to 2 \text{ outputs } {\color{red}\enclose{box}[mathcolor="red"]{\unicode{x2718}}} \end{align}\]
The graph of a function $y = f(x)$ is all points $(x, f(x))$ in the coordinate plane.
A curve in the plane is the graph of a function if no vertical line intersects the curve more than once.
The domain is the set of all possible inputs to a function.
The range is the set of all possible outputs of a function.
Imagine squishing the graph towards the $x$-axis:
A demand function is a relationship between the price $p$ and the quantity $q$ of a good that can be sold (that is demanded). We have seen $q = f(p)$ but later we will see $p = f(q)$.
The $x$-intercept of a graph is the $x$-coordinate where the graph intersects the $x$-axis.
The $y$-intercept of a graph is the $y$-coordinate where the graph intersects the $y$-axis.
To solve $f(x) = 0$, graph $f(x)$ and find the $x$-intercepts.
Given two functions $f(x)$ and $g(x)$, the composite function is $(f\circ g)(x) = f(g(x))$.
The function $f(x) = mx + b$ is a linear function whose graph produces a line.
$m$ is the slope and $b$ is the $y$-intercept.
The equation of a line with slope $m$ passing through the point $(x_1, y_1)$ is \[y - y_1 = m(x - x_1)\]
The average rate of change (AROC) of $y = f(x)$ on the interval $[a, b]$ is \[\text{ARoC} = \dfrac{\text{change in } y}{\text{change in } x} = \dfrac{f(b) - f(a)}{b - a}\]
The ARoC is the slope of the secant line through $(a, f(a))$ and $(b, f(b))$.
The difference quotient of a function $y = f(x)$ is the expression \[\dfrac{f(x+h) - f(x)}{h}\]
The difference quotient is the AROC on the interval $[x, x+h]$.
When finding the difference quotient, the global structure will (after some algebra) be global factors \[\dfrac{h\cdot (\text{stuff})}{h}\] where the $h$ cancels.
The $n$th power of $a$ is \[a^n = a\cdot a \cdot \cdots a\]
Exponents are shorthand for multiplication (factors).
Zero and negative exponents are defined as \[a^0 = 1 \qquad \qquad a^{-n} = \dfrac{1}{a^n}\]
A quadratic function has the form $f(x) = ax^2 + bx + c$ with $a \neq 0$.
A polynomial function of degree $n$ has the form \[f(x) = a_nx^n + a_{n-1}x^{n-1} + \cdots + a_1x + a_0 \qquad a_n \neq 0\] where $n$ is an integer.
A graph is continuous if you can draw it without lifting your pencil.
A vertical asymptote is a vertical line $x = a$ where the heights $f(x)$ approaches $\pm\infty$ as the inputs approach $a$.
A horizontal asymptote is a horizontal line $y = b$ where the heights $f(x)$ approaches $b$ as the inputs approach $\pm\infty$.
A rational function is a function that is a ratio of two polynomials $P(x)$ and $Q(x)$: \[f(x) = \dfrac{P(x)}{Q(x)} = \dfrac{a_nx^n + a_{n-1}x^{n-1} + \cdots + a_1x + a_0}{b_mx^m + b_{m-1}x^{m-1} + \cdots + b_1x + b_0}\]
For a rational function $f(x) = \dfrac{P(x)}{Q(x)}$, the vertical asymptotes occur at the solutions of $Q(x) = 0$.
An exponential function has the form \[f(x) = a\cdot b^x\] where $a\neq0, b> 0$ and $b \neq 1$.
$e \approx 2.718281828$
$e$ is Euler's number; used as the base of exponential functions frequently.
The logarithmic function with base $b$, written $y = \log_b(x)$ is defined \[\log_b(x) = y \qquad \text{means} \qquad b^y = x\]
The tangent line at a point on a curve is the line that just "touches" the curve at that point.
The notation \[\lim_{x\to a} f(x) = L\] means we can make $f(x)$ as close as we want to $L$ by taking $x$ sufficiently close to $a$ but never $a$ itself.
The notation \[\lim_{x\to a^-} f(x) = L\] means we can make $f(x)$ as close as we want to $L$ by taking $x$ sufficiently close to $a$ and to the left of $a$ but never $a$ itself.
The notation \[\lim_{x\to a^+} f(x) = L\] means we can make $f(x)$ as close as we want to $L$ by taking $x$ sufficiently close to $a$ and to the right of $a$ but never $a$ itself.
Given a function $f(x)$, a limit $\displaystyle \lim_{x\to a}f(x) = L$ if and only if \[\lim_{x\rightarrow a^-} f(x) = L = \lim_{x\rightarrow a^+}f(x)\]
A function $f(x)$ is continuous at $x = a$ if and only if \[\lim_{x\to a} f(x) = f(a)\]
The derivative of a function $f(x)$ at a number $x$ is \[f'(x) = \lim_{h\to 0} \dfrac{f(x+h) - f(x)}{h}\]
Given a function $f(x)$, the equation of the tangent line at the point $(a, f(a))$ is \[y - f(a) = f'(a)(x-a)\]
Suppose $a, c$ and $n$ are real numbers and $f(x), g(x)$ are differentiable functions. Then:
Suppose $f(x), g(x)$ are differentiable functions of $x$. Then \[\dfrac{d}{dx}\left(f(x)g(x)\right) = f'(x)g(x) + f(x)g'(x)\] Differentiating a factor structure results in two terms; each factor takes turns receiving the derivative.
Suppose $f(x), g(x)$ are differentiable functions of $x$. Then \[\dfrac{d}{dx}\left(\dfrac{f(x)}{g(x)}\right) = \dfrac{g(x)f'(x) - f(x) g'(x)}{(g(x))^2}\] Differentiating a fraction structure requires the quotient rule.
Use the mnemonic to remember the quotient rule: Low D high minus high D low, square the bottom, away you go!
The marginal at $q$ items is the change in the revenue, cost, or profit if one more new item is created, putting you at $q + 1$ items.
Given a demand function $p = f(q)$, the total revenue of a business is \[R(q) = q \cdot p = q\cdot f(q)\]
For a composition $y = f(g(x))$, the derivative is \[y' = f'(g(x))\cdot g'(x)\] Using Leibniz notation with $u = g(x)$ and $y = f(u)$: \[\dfrac{dy}{dx} = \dfrac{dy}{du} \cdot \dfrac{du}{dx}\]
The Chain Rule is like peeling an onion: you start from the outside function, and on your way in, every function you encounter must be differentiated while keeping the input the same. For example \[\dfrac{d}{dx}\Big(f(g(h(x)))\Big) = f'(g(h(x)))\cdot g'(h(x)) \cdot h'(x)\] Every function in the decomposition was differentiated, while keeping the input the same.
Given a function $f(x)$:
A function $f(x)$ is increasing on an interval when, for any two numbers $x_1$ and $x_2$ in the interval, $x_2 > x_1$ implies $f(x_2) > f(x_1)$.
A function $f(x)$ is decreasing on an interval when, for any two numbers $x_1$ and $x_2$ in the interval, $x_2 > x_1$ implies $f(x_2) < f(x_1)$.
Let $f(x)$ be differentiable on the interval $(a, b)$.
Suppose that $f(c)$ exists, meaning $c$ is in the domain of $f(x)$.
Then $c$ is a critical number of $f(x)$ when $f'(c) = 0$ or when $f'(c)$ is undefined (DNE).
To solve an equation with $(\text{factors}) = 0$, set each factor to $0$ and solve each equation.
For example, if $A\cdot B = 0$, set $A = 0$ and $B = 0$ and solve each equation.
Given a function $f(x)$, follow these steps to determine the intervals on which $f(x)$ is increasing or decreasing:
Suppose $f(x)$ is differentiable on $(a, b)$.
The graph of $f(x)$ is concave upward if $f'(x)$ is increasing on $(a, b)$.
The graph of $f(x)$ is concave downward if $f'(x)$ is decreasing on $(a, b)$.
Let $f(x)$ be a function where $f''(x)$ exists on $(a, b)$.
Let $f(x)$ be a continuous function.
Then $(c, f(c))$ is an inflection point when $f''(c) = 0$ or when $f''(c)$ is undefined (DNE).
Given a function $f(x)$, follow these steps to determine the intervals of concavity:
Let $f$ be defined at $c$.
Given a function $f(x)$, use this test to find the local extrema of $f(x)$:
Suppose that $f'(c) = 0$, and $f''(x)$ exists on an interval containing $c$.
Let $f$ be defined at $c$.
Suppose $f$ is a continuous function defined on a closed interval $[a, b]$. Then $f$ is guaranteed to attain a global maximum and global minimum.
Given a continuous function $f$ defined on a closed interval $[a, b]$, use this method to find global extrema.
Suppose that $c$ is the only critical number of $f(x)$.
Since $P = R - C$, differentiating gives $P' = R' - C'$. Setting $P' = 0$ gives \[R'(q) = C'(q)\] Profit is maximized when marginal revenue equals marginal cost.
Given a differentiable demand function $q = f(p)$, the elasticity of demand is \[E = -\dfrac{p}{q} \cdot f'(p)\]
If the price increases by 1%, the demand will decrease by $E$%.
Note: The demand function must be written as $q = f(p)$ (quantity as a function of price) to calculate elasticity.
$E$ is a dimensionless quantity: \[E = -\dfrac{p}{q} \cdot \underbrace{\dfrac{dq}{dp}}_{\text{units/\$}} = \dfrac{\%\text{ change in quantity demanded}}{\%\text{ change in price}}\]
An equation is in implicit form when $y$ is not isolated. For example: \[xy = 1 \qquad y^3 + y^2 - 5y - x^2 = -4 \qquad x^2 + 4y^2 = 4\]
To find $\dfrac{dy}{dx}$ for an equation in implicit form:
The derivative $y'$ from implicit differentiation gives the slope of the tangent line at a point $(a, b)$ on the curve. Plug in both $x = a$ and $y = b$ to evaluate the slope.
When two or more quantities change over time and are related by an equation, their rates of change are also related.
Important: Do not plug in numbers before Step 3!
The sum \[\sum_{i=1}^{n} a_i = a_1 + a_2 + \cdots + a_n\] where $i$ is the index, which starts at the number below the sigma and increases by 1 until it equals the number above the sigma.
Using $n$ rectangles, the approximate area between the graph of $f(x)$ and the horizontal axis on $[a, b]$ is the Riemann sum \[\sum_{i=1}^{n} f(x_i) \cdot \Delta x\] where
The definite integral of $f(x)$ from $a$ to $b$ is the limit of the Riemann sum: \[\int_a^b f(x)\, dx = \lim_{n \to \infty} \sum_{i=1}^{n} f(x_i)\, \Delta x\] where
Each symbol in $\displaystyle\int_a^b f(x)\, dx$ represents an idea from the Riemann sum:
The definite integral $\displaystyle\int_a^b f(x)\, dx$ computes signed area between the curve of $f(x)$ and the horizontal axis:
If $f(x)$ represents a rate of change, then the area underneath the curve (the definite integral) represents the total amount of something.
Given a function $f(x)$, the function $F(x)$ is called an antiderivative of $f(x)$ if \[F'(x) = f(x)\]
All particular antiderivatives of $f(x)$ differ only by a constant. The general antiderivative of $f(x)$ is \[F(x) + C\] where $C$ is an arbitrary constant.
If $f(t)$ is continuous on $[a, b]$, then the function \[g(x) = \int^x_a f(t) \ dt, \qquad a \leq x \leq b\] is also continuous on $[a, b]$, differentiable on $(a, b)$, and $g'(x) = f(x)$.
If $f(x)$ is continuous on $[a, b]$, then \[\int^b_a f(x) \ dx = F(b) - F(a)\] where $F(x)$ is any antiderivative of $f(x)$.
If $F'(x)$ is a rate of change, then \[\int^b_a F'(x) = F(b) - F(a)\] gives the net change of $F(x)$ on $[a, b]$.
Given a function $f(x)$, the indefinite integral of $f(x)$ is the general antiderivative of $f(x)$: \[\int f(x) \ dx = F(x) + C\] where $F'(x) = f(x)$.
Suppose $a, c$ and $n$ are real numbers and $f(x), g(x)$ are differentiable functions. Then:
Suppose $u = f(x)$ is a differentiable function. The differential of $x$ (denoted by $dx$) is any nonzero number. The differential of $u$ (denoted $du$) is $du = f'(x) \ dx$.
When integrating a function that involves a composition $f(g(x))$, set $u = g(x)$, or the inside of the composition. The differential of $u$ is $du = g'(x) \ dx$. We substitute: \[\int f'(g(x))\cdot g'(x)\ dx = \int f'(u)\ du\]
When using $u$-substitution on a definite integral, convert the bounds of integration from $x$-values to $u$-values. No back-substitution is needed: \[\int^b_a f'(g(x)) \cdot g'(x) \, dx = \int^{g(b)}_{g(a)} f'(u) \, du\]
Given an integrand with two factors, choose $u$ and $dv$. Then: \[\int u \, dv = uv - \int v \, du\] For definite integrals: \[\int^b_a u \, dv = uv \bigg\rvert^b_a - \int^b_a v \, du\]
From your choice of $u$, you find $du$ (differentiate). From your choice of $dv$, you find $v$ (integrate).
Let $n$ be an integer. Use this table to identify which method is appropriate.
| Integral | Method | Why |
|---|---|---|
| $\displaystyle\int \ln(nx) \, dx$ | $u$-sub | Set $u = nx$, isolate $dx$ |
| $\displaystyle\int x^n \ln(x) \, dx$ | IBP | $u = \ln(x)$, $dv = x^n \, dx$ |
| $\displaystyle\int \dfrac{\ln(x)}{x} \, dx$ | $u$-sub | Set $u = \ln(x)$, $du = \frac{1}{x}\,dx$ matches |
| $\displaystyle\int \dfrac{1}{x\ln(x)} \, dx$ | $u$-sub | Set $u = \ln(x)$, $du = \frac{1}{x}\,dx$ matches |
| $\displaystyle\int x^n e^x \, dx$ | IBP | $u = x^n$, $dv = e^x \, dx$ |
General advice:
If $f$ and $g$ are continuous on $[a, b]$ and $f(x) \geq g(x)$ for all $x$ in $[a, b]$, then the area of the region bounded by $f(x)$, $g(x)$, $x = a$ and $x = b$ is \[A = \int^b_a \left[f(x) - g(x)\right] dx\]
Always set up the integral as $\displaystyle\int (\text{top} - \text{bottom}) \, dx$. Look at the graph to determine which function is on top.
If $f(x)$ is continuous on $[a, b]$, then the average value of $f$ on $[a, b]$ is \[\dfrac{1}{b - a}\int^b_a f(x) \, dx\]
$\displaystyle\int^b_a f(x) \, dx$ is a sum of infinite rectangular areas (height $\times$ width). Dividing total area by total width $b - a$ gives average height.
The equilibrium point $(q^*, p^*)$ is where the demand and supply curves intersect. To find it, solve $D(q) = S(q)$.
$p^*$ is the equilibrium price: where the plans of consumers and producers agree, meaning the amount of product consumers want to buy equals the amount producers want to sell. $q^*$ is the equilibrium quantity.
Given a demand function $p = D(q)$, supply function $p = S(q)$, and equilibrium point $(q^*, p^*)$:
Consumer surplus measures "how much of a deal you got" at the aggregate level. Both CS and PS are areas between two curves on $[0, q^*]$, computed as $\displaystyle\int (\text{top} - \text{bottom}) \, dq$.
If $F(t)$ represents a continuous income function (in dollars per year), and the nominal interest rate is $r$ (in decimal form), then over $T$ years:
A dollar today is worth more than a dollar in the future, because today's dollar could be invested and grow.
Present value answers: What is the lump sum payment required right now to match the value of the income stream over $T$ years?