Arithmetic Sequences and Series: Definitions, Formulas, and Applications
You probably use arithmetic sequences way more often than you realize. If you’ve ever counted by the same number, planned out savings with regular deposits, or tried to guess the next number in a pattern, you’ve already got the hang of it.
This post will show you how to write the rule for any term and how to turn a long list of numbers into a quick sum—no need to add every single one by hand.

An arithmetic sequence just adds the same step each time. An arithmetic series takes those terms and adds them up, so you can find totals fast with some simple formulas.
You’ll see how to find the nth term, figure out the common difference, and use a short formula to get the sum of a bunch of terms.
Check out the next sections for some quick examples and shortcuts for sequences and series. You’ll solve problems faster and start spotting these patterns everywhere.
Understanding Arithmetic Sequences

An arithmetic sequence is just a list of numbers that change by the same amount every step. Once you spot that steady change, you can write formulas for any term.
You’ll also see both recursive and explicit ways to work with these sequences.
Key Features of Arithmetic Sequences
People call an arithmetic sequence an arithmetic progression sometimes. The main thing is, every term changes by a constant difference. This constant is the common difference, d.
If you start with a1, the second term is a1 + d. The third? a1 + 2d. You get the idea.
Watch for these clues:
- The gap between each pair of terms stays the same.
- If you graph the term number versus the value, you’ll see a straight line.
Some handy terms:
- a1: the first term
- an: the nth term
- d: common difference
- last term: the final one if the sequence ends
Want to check if a sequence is arithmetic? Just subtract each term from the next. If you keep getting the same result, you’ve got an arithmetic sequence.
This quick check saves you from using the wrong formulas.
General Term and Sequence Formulas
Here’s the go-to formula for any term in an arithmetic sequence:
- an = a1 + (n – 1)d
n is the spot you’re looking for (an is the nth term). This lets you skip ahead without writing out every term in between.
If you know how many terms you’ve got, just swap in that number for n. For instance, with 20 terms, the last one is a20 = a1 + 19d.
You can use these formulas to solve for a1, d, or n if you know the others.
If you want to check if a number shows up somewhere in the sequence, solve for n and see if it’s a positive integer.
It’s worth double-checking your signs, especially if d is negative—one slip can throw off the whole answer.
Recursive and Explicit Forms
You can define an arithmetic sequence in two ways: recursive or explicit.
The recursive form ties each term to the one before it:
- a1 = given value
- an = a(n-1) + d for n > 1
This one works well when you want to build the sequence step by step.
The explicit form (an = a1 + (n – 1)d) lets you jump straight to any term. It’s handy if you need a specific term fast or you’re solving for n.
So, which one should you use? The recursive form is nice for generating terms in order or writing simple programs. For solving problems or proofs, the explicit version is way faster.
Exploring Arithmetic Series
An arithmetic series adds up the terms from an arithmetic sequence to get a total. You’ll see how to write the sum, use the sum formula, and figure out how many terms you need to hit a certain total.
Defining Arithmetic Series
An arithmetic series is just the sum of terms from an arithmetic sequence. Each term adds the same value, called the common difference (d).
If you start at a1, the nth term is a_n = a1 + (n − 1)d.
The sum of the first n terms looks like S_n = a1 + a2 + … + a_n. With sigma notation, you’d write S_n = Σ_{k=1}^n a_k.
Don’t mix up sequence and series—a sequence lists numbers, while a series adds them together. This matters when you compare an arithmetic series to a geometric sequence or series. Geometric ones multiply; arithmetic ones add.
Sum Formula and Applications
Use this formula to find the sum fast: S_n = n(a1 + a_n)/2. It pairs the first and last term, then multiplies by the number of pairs.
If you know the common difference instead of the last term, use S_n = n/2 [2a1 + (n − 1)d].
To find the sum, just grab a1, d, and n, then plug them into one of the formulas.
You’ll use this for things like total payments with increasing salaries, total distance if your speed rises by a fixed amount each time, or adding up evenly spaced measurements.
Compared to geometric sequences, just remember: arithmetic series grow in a straight line, not exponentially.
Partial Sums and Number of Terms
A partial sum adds up the first k terms, and people usually write it as S_k.
You use the same formulas as before, but just swap out n for k.
Partial sums are handy if you want to keep track of the total as you add more terms.
If you want to figure out how many terms you’ll need to reach a target sum S_target, start by solving the sum formula for n.
This gives you a quadratic equation: (n/2)[2a1 + (n − 1)d] = S_target.
When you rearrange things, you get something like (d/2)n^2 + (a1 − d/2)n − S_target = 0.
Now, solve that quadratic for n and pick the positive integer root.
If you don’t get a whole number, round up—but only if you actually need at least that many full terms.
This approach helps you see whether an arithmetic series or a geometric sequence hits your target faster, or lets you compare partial sums between them.
Honestly, it’s a pretty useful trick if you’re trying to decide which sequence works better for your needs.
