Algebra 1 • Model Relationships with Functions

Combining Function Types Using Arithmetic Operations

Learn how to add, subtract, multiply, and divide functions to build powerful new mathematical relationships from simpler building blocks.

Where Did Function Arithmetic Come From?

Functions are one of the most important ideas in all of mathematics, but they didn't appear overnight. For centuries, mathematicians worked to develop a clear language for describing how quantities depend on each other. The ability to combine functions using arithmetic operations — adding them together, subtracting one from another, multiplying them, or dividing them — grew naturally from the need to model increasingly complex real-world situations. Think of it this way: once mathematicians had simple functions as "building blocks," they wanted to snap those blocks together to create more intricate models, just like combining ingredients in a recipe to make something new.

~1637
René Descartes
René Descartes introduced the idea of using algebraic equations to describe curves, connecting algebra and geometry for the first time. His work laid the groundwork for thinking about equations as relationships between variables — a step toward the modern concept of a function.
1694
Gottfried Wilhelm Leibniz
Gottfried Wilhelm Leibniz was the first mathematician to use the word "function" to describe a quantity that changes depending on a curve. He also pioneered notation that made it easier to write and combine mathematical expressions.
1748
Leonhard Euler
Leonhard Euler formalized the notation f(x) that we still use today. Euler showed how different types of functions — polynomials, trigonometric functions, and exponentials — could be combined through arithmetic to model physical phenomena like vibrating strings and planetary motion.
1800s
Cauchy & Weierstrass
Mathematicians like Augustin-Louis Cauchy and Karl Weierstrass made the definition of a function more rigorous. Their work made it clear exactly when and how you could add, subtract, multiply, or divide functions, and what conditions the results had to satisfy.
Today
Modern Applications
Combining functions is essential across all modern fields — from physics (combining wave functions) to economics (combining cost and revenue models) to computer science (composing algorithms). It remains a foundational skill in every algebra and precalculus course.

The key question this lesson addresses is straightforward but powerful: if you already know two simple functions, how can you combine them into a single new function that captures a more complex relationship? By the end of this lesson, you'll be able to answer that question with confidence.

Core Principles & Definitions

Before you start combining functions, let's make sure the foundation is solid. A function is a rule that takes an input value (usually called x) and produces exactly one output value. You've already worked with functions like f(x) = 2x + 3 (a linear function) and g(x) = x² (a quadratic function). When we talk about combining functions using arithmetic operations, we mean using addition, subtraction, multiplication, or division to create a brand-new function from two existing ones.

1

Addition of Functions

To add two functions f and g, you add their outputs for the same input: (f + g)(x) = f(x) + g(x). You simply combine like terms from both expressions.
2

Subtraction of Functions

To subtract, you take the output of g away from f: (f − g)(x) = f(x) − g(x). Be careful to distribute the negative sign to every term in g(x).
3

Multiplication of Functions

To multiply, you multiply their outputs: (f · g)(x) = f(x) · g(x). This often requires the distributive property (like FOIL for binomials).
4

Division of Functions

To divide, you form a fraction: (f / g)(x) = f(x) / g(x), but only when g(x) ≠ 0. Division by zero is undefined, so some inputs may need to be excluded.

Each of these operations takes two functions you already know and produces a new function. The domain (the set of valid inputs) of the new function is usually the overlap of the domains of the original two functions, with the extra restriction for division that the denominator can't be zero.

Key Takeaway
Think of functions like recipes. If f(x) is a recipe for making lemonade and g(x) is a recipe for making iced tea, then (f + g)(x) is like combining both recipes to make an Arnold Palmer. You're using the same ingredients (the same input x), but the result is something new. Each arithmetic operation gives you a different way to "mix" your function recipes.

Seeing Function Arithmetic on a Graph

One of the best ways to understand how combining functions works is to see it visually. When you add two functions, the graph of the new function is formed by adding the y-values (the outputs) of the two original functions at every x-value. The diagram below shows this in action. We have a linear function f(x) = x + 1 (shown in cyan) and a quadratic function g(x) = x² (shown in violet). The sum (f + g)(x) = x² + x + 1 is shown in amber. Notice how, at each x-value, the amber curve's height equals the combined heights of the cyan line and the violet parabola.

Look at the dashed lines at x = 1. The cyan function gives f(1) = 2 and the violet function gives g(1) = 1. When you add them, you get (f + g)(1) = 3, which is exactly where the amber curve sits. This "stacking" of outputs happens at every single point along the x-axis. If you understand this visual idea, you understand the core of function addition — and the same logic (with subtraction, multiplication, or division instead of addition) applies to the other operations.

The Mathematical Framework

Now let's write down the formal definitions. Suppose you have two functions, f(x) and g(x). Here are the four arithmetic operations you can perform on them.

Sum of Two Functions
(f + g)(x) = f(x) + g(x)
Add the outputs — combine like terms in the expressions.
Difference of Two Functions
(f − g)(x) = f(x) − g(x)
Subtract the outputs — distribute the negative sign through all terms of g(x).
Product of Two Functions
(f · g)(x) = f(x) · g(x)
Multiply the outputs — use the distributive property to expand.
Quotient of Two Functions
(f / g)(x) = f(x) / g(x), where g(x) ≠ 0
Divide the outputs — the domain excludes any x where g(x) = 0.

These definitions might look simple, and in many ways they are. The key skill is careful algebra: making sure you distribute negatives correctly, multiply using FOIL or the distributive property, and identify domain restrictions when dividing. Let's also be precise about what "domain" means in this context. The domain of a combined function is the set of all x-values where both original functions are defined. For the quotient, you must also exclude any x-value that makes the denominator equal to zero.

Here's a quick way to remember the process: you are always performing the arithmetic on the output side — the right side of the equation — while the input stays the same. The input x goes into both functions, and then you combine whatever comes out.

Operation-by-Operation Breakdown

Let's look at each operation in more detail with specific function types. Throughout this section, we'll use f(x) = 3x + 2 (a linear function) and g(x) = x² − 1 (a quadratic function) as our running examples.

Notice something important: the sum and difference both produce quadratic functions (the highest power is ), the product creates a cubic function (degree 3, since degree 1 × degree 2 = degree 3), and the quotient produces a rational function (a fraction with polynomials on top and bottom). This is a general pattern: addition and subtraction preserve the highest degree, multiplication adds the degrees together, and division creates a ratio.

OperationResult with f(x) = 3x + 2, g(x) = x² − 1Result TypeDomain Restriction
f + gx² + 3x + 1QuadraticAll real numbers
f − g−x² + 3x + 3QuadraticAll real numbers
f · g3x³ + 2x² − 3x − 2CubicAll real numbers
f / g(3x + 2) / (x² − 1)Rationalx ≠ 1 and x ≠ −1

For the division case, g(x) = x² − 1 equals zero when x = 1 or x = −1 (since x² − 1 = (x − 1)(x + 1)). That's why we must exclude those values from the domain. Always check whether the denominator can equal zero and note those restrictions.

Worked Example

Let's work through a complete problem step by step. Suppose f(x) = x² + 4x and g(x) = 2x − 5. Find (f − g)(x), (f · g)(3), and state the domain of (f / g)(x).

Complete Worked Example
1
Step 1 — Find (f − g)(x)Write the subtraction definition and substitute the expressions: (f − g)(x) = f(x) − g(x) = (x² + 4x) − (2x − 5) Distribute the negative sign to every term in g(x): = x² + 4x − 2x + 5 Combine like terms: 4x − 2x = 2x
(f − g)(x) = x² + 2x + 5
2
Step 2 — Find (f · g)(3)You could multiply the entire expressions first, or you can take a shortcut: evaluate each function at x = 3 separately, then multiply the results. f(3) = (3)² + 4(3) = 9 + 12 = 21 g(3) = 2(3) − 5 = 6 − 5 = 1 Now multiply: (f · g)(3) = f(3) · g(3) = 21 × 1
(f · g)(3) = 21
3
Step 3 — State the domain of (f / g)(x)For the quotient (f / g)(x) = (x² + 4x) / (2x − 5), we need the denominator to not equal zero. Set 2x − 5 = 0 and solve: 2x = 5, so x = 5/2.
Domain: All real numbers except x = 5/2 (or x = 2.5)
4
Step 4 — Interpret the ResultsThe subtraction produced a quadratic function. The product at x = 3 gave us a specific numerical answer, which is a handy shortcut when you only need one value. The quotient can accept any input except x = 2.5, where the denominator would be zero and the function is undefined. Notice that we checked each operation separately — the domain restriction only matters for the division.

Strengths, Limitations & Common Mistakes

Combining functions through arithmetic is a powerful technique, but there are common mistakes students make. Understanding where things can go wrong will help you avoid errors on homework and tests. Let's compare the operations side by side and highlight what to watch for.

FeatureAddition / SubtractionMultiplicationDivision
DifficultyEasiest — just combine like termsModerate — requires distributionModerate — watch for domain
Common mistakeForgetting to distribute the negative sign (subtraction)Missing cross terms in FOILForgetting to exclude values where denominator = 0
Result typeSame as highest-degree inputDegree = sum of degreesRational function (fraction)
Domain change?Usually noUsually noYes — must exclude zeros of denominator
Can evaluate at a point?Yes: f(a) + g(a)Yes: f(a) × g(a)Yes, if g(a) ≠ 0

The single most frequent error in function subtraction is forgetting that the negative sign applies to every term in the second function. For example, (x² + 3) − (2x − 7) becomes x² + 3 − 2x + 7, not x² + 3 − 2x − 7. The −7 flips to +7. Always use parentheses when you write out the subtraction, then deliberately distribute the negative to each term.

Key Takeaway
Think of the negative sign in subtraction like flipping a light switch for every term — if a term was positive, it becomes negative, and if it was already negative, it becomes positive. Meanwhile, for division, think of the denominator like the floor of a building: if the floor disappears (g(x) = 0), everything collapses. Always check whether the "floor" can be zero and note those forbidden values.

Connection to More Advanced Topics

The arithmetic operations on functions that you're learning now are the starting point for several more advanced ideas you'll encounter in later math courses. Understanding these connections can help you see why this skill matters beyond just this chapter.

This LessonWhere It LeadsCourse
Adding/subtracting functionsPiecewise functions and modeling with combined formulasAlgebra 2
Multiplying functionsPolynomial factoring, area under curvesAlgebra 2 / Precalculus
Dividing functionsRational functions, asymptotes, limitsPrecalculus / Calculus
Evaluating (f ± g)(a) at a pointComposition of functions: f(g(x))Algebra 2
Domain restrictions from divisionContinuity, removable discontinuitiesCalculus

One idea that's especially worth previewing is function composition, written f(g(x)). While arithmetic operations combine the outputs of two functions side by side, composition chains them — the output of one function becomes the input of the next. That's a related but distinct idea you'll study soon. For now, just remember: arithmetic combines outputs, and composition chains inputs and outputs. The fact that you can build complex functions from simple ones, whether by arithmetic or by composition, is what makes functions such a flexible and powerful tool in mathematics.

Practice Problems

Test your understanding with these five problems. They start with a conceptual check and build up to a challenge problem. Try each one before clicking to reveal the answer.

PROBLEM 1CONCEPTUAL
Explain in your own words what it means to compute (f + g)(x). Why does the result count as a new function?
PROBLEM 2BASIC CALCULATION
Let f(x) = 5x − 3 and g(x) = x + 7. Find (f + g)(x) and evaluate (f + g)(2).
PROBLEM 3INTERMEDIATE
Let f(x) = x² + 2x and g(x) = 3x − 4. Find (f − g)(x) and (f · g)(x).
PROBLEM 4APPLIED / MULTI-STEP
A small business models its revenue with R(x) = 15x (dollars earned from selling x items) and its cost with C(x) = 3x + 40 (dollars spent to produce x items plus a $40 fixed cost). The profit function is P(x) = R(x) − C(x). Find P(x), then determine how many items must be sold to earn at least $80 in profit.
PROBLEM 5CRITICAL THINKING / SYNTHESIS
Let f(x) = x + 3 and g(x) = x² − 9. Write the quotient (g / f)(x), simplify if possible, and state the domain. Then explain: does the simplified version have the same domain as the unsimplified version? Why or why not?

Lesson Summary

In this lesson, you learned how to combine standard function types using arithmetic operations. Given two functions f(x) and g(x), you can create new functions by adding their outputs (f + g)(x) = f(x) + g(x), subtracting them (f − g)(x) = f(x) − g(x), multiplying them (f · g)(x) = f(x) · g(x), or dividing them (f / g)(x) = f(x) / g(x) when g(x) ≠ 0. Each operation follows specific algebraic rules: addition and subtraction require combining like terms (with careful attention to distributing negatives), multiplication requires the distributive property, and division requires checking for domain restrictions wherever the denominator equals zero.

These operations produce new function types: adding or subtracting keeps the highest degree, multiplying creates a function whose degree is the sum of the original degrees, and dividing produces a rational function. You saw how this works visually on a graph — where the new function's height at each point is determined by combining the heights of the original functions — and through a real-world business application involving profit = revenue − cost. These skills form the foundation for more advanced topics like function composition, rational expressions, and calculus.

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