Arithmetic Progressions
An arithmetic progression (AP) is a sequence in which each term differs from the previous one by a fixed constant , the common difference. Its -th term is and the sum of its first terms is . APs appear everywhere linear growth occurs — interest, seating rows, physics under constant acceleration — and were studied from antiquity, with the famous summation trick attributed to a young Carl Friedrich Gauss.
Constant steps make the sequence linear, and linearity makes the sum a symmetric average. Because every term is the first term plus a whole number of equal jumps, term is a linear function of . And because terms are evenly spaced, the average of all of them equals the average of the two endpoints — so the total is simply that average times the count. Two ideas — equal spacing and end-pairing — generate every formula on this page.
Formal Statement
A sequence is an arithmetic progression if there exists a constant , called the common difference, such that
Derivation hint: This is the defining property; "common difference" literally means is the same for every . Here:
- = the first term (the starting value),
- = the -th term (general term),
- = the common difference (constant gap between neighbours),
- = the index (position), a positive integer.
The closed form for the general term is
Derivation hint: Start at and add a total of times to reach term ; telescoping .
The sum of the first terms of an arithmetic progression is
Derivation hint: Average of first and last term, , times the number of terms — equivalently the Gauss pairing trick below. Substituting from [2] gives the form using only and :
Derivation hint: Replace in [3] with and factor .
A further useful identity is the arithmetic mean property: each interior term is the mean of its neighbours,
Derivation hint: From [1], ; add and solve for .
Why It Holds / Derivation
We prove [3].
Step 1. Write the sum forwards:
Step 2. Write the same sum backwards:
Step 3. Add the two lines term by term. The -th column gives . But in an AP, and , so
a constant independent of .
Step 4. There are such columns, each summing to . Therefore
Step 5. Divide by 2:
We prove [2] by induction on .
Base case (): . ✓
Inductive step: Assume . By the definition [1], . ✓ By induction, [2] holds for all .
∎The German mathematician Carl Friedrich Gauss is legendarily said to have, as a schoolboy around age 7–10, summed the integers from 1 to 100 in seconds by pairing into fifty pairs of 101, giving . Whether the anecdote is literally true is debated, but the method — recognising that endpoints pair to equal sums — is exactly the engine of formula [3]. Gauss went on to revolutionise number theory, statistics (the Gaussian distribution), geometry, and physics, but the "Gauss sum" of an AP remains the most-told story of mathematical childhood precocity.
Building Intuition
Picture a staircase where every step has the same height . The height of step above the ground is — that's formula [2]. Now imagine you want the total amount of "material" stacked under all the steps (the sum). Lay one identical staircase upside-down on top of the first: every column now has the same total height, , and there are columns. You've built a perfect rectangle of area from two staircases, so one staircase is half of it — that's formula [3]. The equal step height is what makes the upside-down trick work; for irregular steps the columns wouldn't match.
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Worked Examples
Given: An AP with first term and common difference . Find the 20th term and the sum of the first 20 terms.
Step 1 — 20th term using [2]:
Step 2 — Sum using [3]:
Check with [4]: ✓
Given: In an AP, the 4th term is and the 9th term is . Find , , and the sum of the first 10 terms.
Step 1 — Set up equations from [2]:
Step 2 — Subtract to find :
Step 3 — Back-substitute for :
Step 4 — Sum of first 10 terms using [4]:
Common Misconceptions
An AP is defined by a constant difference, not a constant ratio. If consecutive terms are related by multiplication (e.g. ), that is a geometric progression, not arithmetic. Always test by subtracting adjacent terms: the sequence is an AP only if Furthermore, do not confuse the index (a count, starting at 1) with the term value . In formula [2] the multiplier is , not — a classic off-by-one error that shifts every answer by one .
The sequence is not an arithmetic progression. The successive differences are , , — these are not equal, so condition [1] fails. (It is a geometric progression with common ratio 2.) Equally, (the perfect squares) is not an AP: the differences are themselves increasing. Notice, however, that those differences do form an AP — squares are a "second-order" arithmetic sequence, a hint toward Finite Differences.
Connections
Arithmetic progressions sit at a crossroads of several topics. They are the discrete analogue of Linear Functions: plotting against gives points on a straight line of slope . They contrast with Geometric Progressions, where a constant ratio replaces the constant difference, and with which they combine into Arithmetico-Geometric Sequences. The sum formula is the first nontrivial case of Series and Summation and a gateway to Sigma Notation. The squares-difference observation links APs to Finite Differences and the calculus of finite sums, while the average-of-endpoints property connects to the Arithmetic Mean and, by contrast, to the Inequality of Arithmetic and Geometric Means.
Real-World Applications
Historical Development
Subtleties & Limits
While the formulas here are elementary and complete for finite APs, deep questions arise when arithmetic progressions meet number theory. Are there arbitrarily long arithmetic progressions consisting entirely of prime numbers? The answer is yes — proved by Ben Green and Terence Tao in 2004 (the Green–Tao theorem) — but the proof is among the most celebrated in modern mathematics and is highly non-elementary. Related and still-open is the strong form of the Erdős conjecture on arithmetic progressions: any set of positive integers whose reciprocals sum to infinity must contain arbitrarily long APs. Even simpler-sounding: the largest known infinite set with no three-term AP and questions about the densest such sets (Roth's theorem and its refinements) remain active research. These show that the humble AP, fully tamed in finite form, hides profound structure at the frontier.
See Also
Geometric Progressions · Sequences · Series and Summation · Sigma Notation · Linear Functions · Finite Differences · Arithmetic Mean · Mathematical Induction · Inequality of Arithmetic and Geometric Means