In short
An arithmetico-geometric series (AGS) is formed when the k-th term is the product of the k-th term of an AP and the k-th term of a GP: T_k = [a + (k-1)d]\,r^{k-1}. To sum it, multiply the entire sum by r, shift, and subtract — the same trick that works for a pure GP, except now each subtraction leaves behind a GP of its own. The finite sum is S_n = \dfrac{a - [a+(n-1)d]\,r^n}{1-r} + \dfrac{dr(1-r^{n-1})}{(1-r)^2} for r \neq 1, and the infinite sum (when |r|<1) simplifies to S_\infty = \dfrac{a}{1-r} + \dfrac{dr}{(1-r)^2}.
You start a new savings plan. In the first month you deposit ₹1,000. Each following month, you increase the deposit by ₹500 (so the second month is ₹1,500, the third is ₹2,000, and so on). The bank pays monthly interest at a rate that effectively multiplies each past deposit by 1.01 every month. After 12 months, how much money is in the account?
The deposit in month k is 1000 + (k-1) \cdot 500 — an arithmetic progression. Each deposit compounds by a factor of 1.01 for every month it sits in the account, so the contribution of month k to the final total is [1000 + (k-1) \cdot 500] \cdot (1.01)^{12-k} — an AP term multiplied by a GP term. That product is the signature of an arithmetico-geometric series.
You already know how to sum a pure GP (multiply by r, subtract, and collapse). You already know how to sum a pure AP (pair the first and last terms). But when every term is an AP value times a GP value, neither trick works alone. The AGS formula handles exactly this hybrid.
What makes a series arithmetico-geometric
Take an AP a, a+d, a+2d, \dots and a GP 1, r, r^2, \dots and multiply them term by term:
The general term is
The AP part (a + (k-1)d) grows linearly. The GP part (r^{k-1}) grows (or shrinks) exponentially. Their product creates a sequence that neither grows purely linearly nor purely exponentially — it blends both behaviours.
Arithmetico-Geometric Series
An arithmetico-geometric series is a series whose k-th term is the product of the k-th term of an AP and the k-th term of a GP:
where a is the first term of the AP, d is the common difference, and r is the common ratio of the GP.
The sum of the first n terms (for r \neq 1) is:
When |r| < 1, the infinite sum is:
Deriving the sum formula
The derivation uses the same multiply-shift-subtract trick that works for a pure GP, but with a twist: the subtraction does not collapse everything into two terms. It leaves behind a pure GP, which you then sum separately.
Step-by-step derivation
Write out the sum:
Multiply both sides by r:
Subtract the second equation from the first:
Look at the right-hand side. The first surviving term is a. The middle terms are dr + dr^2 + \cdots + dr^{n-1} — this is a pure GP with first term dr, common ratio r, and n-1 terms. The last term is -[a+(n-1)d]\,r^n.
Factor the left side and sum the GP in the middle:
Divide both sides by (1 - r):
The formula has two pieces: the first fraction handles the "endpoints" (a at the start, the last AGS term at the end), and the second fraction handles the GP that the subtraction produced. When d = 0, the AGS reduces to a pure GP, and the second fraction vanishes — the formula collapses to S_n = a \cdot \frac{1 - r^n}{1 - r}, exactly the GP sum.
The infinite sum
When |r| < 1, the terms r^n and r^{n-1} both tend to 0 as n \to \infty. The term [a + (n-1)d]\,r^n also tends to 0 because the linear growth of a + (n-1)d is overwhelmed by the exponential decay of r^n. The finite sum formula simplifies:
This formula is compact enough to memorise and appears frequently in JEE problems.
A quick sanity check
For a = 1, d = 1, r = \frac{1}{2}, the series is 1 + \frac{2}{2} + \frac{3}{4} + \frac{4}{8} + \frac{5}{16} + \cdots
Partial sums: S_1 = 1, S_2 = 2, S_3 = 2.75, S_4 = 3.25, S_5 = 3.5625. These are climbing toward the predicted S_\infty = 4, confirming the formula.
Applications
Sums involving k \cdot r^k
The most frequently tested AGS in JEE is \sum_{k=1}^{n} k \, x^k, which is simply S_n with a = 1, d = 1. Using the infinite sum formula with |x| < 1:
This result also follows from differentiating the geometric series \sum_{k=0}^{\infty} x^k = \frac{1}{1-x} with respect to x and then multiplying by x. The AGS formula and the calculus approach give the same answer — a reassuring consistency.
Weighted averages with decaying weights
Suppose you are computing a weighted average of the numbers 1, 2, 3, 4, \dots where the weight of the k-th number is r^{k-1} (with 0 < r < 1). The numerator is \sum_{k=1}^{\infty} k \cdot r^{k-1} = \frac{1}{(1-r)^2} (an AGS with a = 1, d = 1, each term divided by r compared to the standard form). The denominator is \sum_{k=1}^{\infty} r^{k-1} = \frac{1}{1-r}. The weighted average is \frac{1}{1-r} — a clean result from the AGS formula.
Two worked examples
Example 1: Find the sum $1 \cdot 1 + 2 \cdot \frac{1}{3} + 3 \cdot \frac{1}{9} + 4 \cdot \frac{1}{27} + \cdots$ to infinity
Step 1. Identify the AP and GP components.
So a = 1, d = 1, r = \frac{1}{3}.
Why: each term has the form (AP term) × (GP term). The AP is 1, 2, 3, 4, \dots and the GP is 1, \frac{1}{3}, \frac{1}{9}, \frac{1}{27}, \dots
Step 2. Verify that |r| < 1.
Why: the infinite sum formula only applies when the GP component decays, which requires |r| < 1.
Step 3. Apply the infinite sum formula.
Why: the first fraction (\frac{3}{2}) is the GP contribution, and the second (\frac{3}{4}) captures the extra weight from the AP factor growing linearly.
Step 4. Verify with partial sums. S_1 = 1. S_2 = 1 + \frac{2}{3} = \frac{5}{3} \approx 1.667. S_3 = \frac{5}{3} + \frac{3}{9} = 2. S_4 = 2 + \frac{4}{27} \approx 2.148. These are climbing toward \frac{9}{4} = 2.25.
Result: S_\infty = \dfrac{9}{4} = 2.25.
The graph confirms what the formula predicts: even though the AP factor grows (1, 2, 3, 4, \dots), the GP factor (1, \frac{1}{3}, \frac{1}{9}, \frac{1}{27}, \dots) decays fast enough that the sum converges to a finite limit.
Example 2: Find the sum of the first 5 terms of the AGS $3 + 5 \cdot 2 + 7 \cdot 4 + 9 \cdot 8 + 11 \cdot 16$
Step 1. Identify a, d, r, and n.
The AP is 3, 5, 7, 9, 11, so a = 3, d = 2. The GP is 1, 2, 4, 8, 16, so r = 2. And n = 5.
Why: the AP terms increase by 2 each time, and the GP terms double each time.
Step 2. Use the multiply-and-subtract method directly (since r = 2 makes the formula's denominator simple).
Why: each difference in the middle is d \cdot r^{k-1} = 2 \cdot 2^{k-1}, forming a GP.
Step 3. Sum the GP 4 + 8 + 16 + 32 (first term 4, ratio 2, 4 terms).
Why: this is the standard GP sum with a = 4, r = 2, n = 4.
Step 4. Combine.
Step 5. Verify by direct addition: 3 + 10 + 28 + 72 + 176 = 289. Confirmed.
Result: S_5 = 289.
When r > 1, the AGS diverges — the terms grow without bound, so there is no infinite sum. The finite sum formula still works, and this example shows the multiply-subtract method applied step by step with concrete numbers.
Common confusions
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"The AGS sum formula works for r = 1." When r = 1, every GP term is 1, and the AGS reduces to a pure AP: a + (a+d) + (a+2d) + \cdots. The denominator (1-r) becomes 0, so the AGS formula does not apply. Use the AP sum formula instead: S_n = \frac{n}{2}[2a + (n-1)d].
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"The infinite AGS sum exists for all r." Only when |r| < 1. If |r| \geq 1, the GP component does not decay, so the terms do not shrink to zero, and the series diverges.
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"I need to memorise the finite sum formula." Memorising it is fine, but understanding the derivation is more reliable. The method — multiply by r, subtract, sum the resulting GP — works even when the AP part is replaced by a quadratic or any polynomial. The formula is just one application of the technique.
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"The S_\infty formula is \frac{a}{1-r} + \frac{d}{(1-r)^2}." The second term has dr in the numerator, not just d. A common slip: write S_\infty = \frac{a}{1-r} + \frac{dr}{(1-r)^2} and double-check by setting a = 1, d = 1, r = \frac{1}{2} — you should get 2 + 2 = 4.
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"An AGS is just an AP plus a GP." An AGS multiplies the AP and GP terms; it does not add them. The sum of an AP and a GP is a different kind of series, and it does not have a neat closed-form formula in general.
Going deeper
If you came here to learn what an AGS is, how to derive its sum, and how to apply the formula, you have everything you need. The rest of this section is for readers who want to see the technique generalised and connected to other ideas.
The multiply-subtract trick is more general than the AGS
The derivation multiplied by r and subtracted to reduce the "AP × GP" to a "pure GP." The same strategy works when the AP is replaced by a quadratic sequence (T_k = (ak^2 + bk + c) \cdot r^{k-1}) — you just need to apply the trick twice. The first subtraction replaces the quadratic coefficient with a linear one (creating an AGS), and the second subtraction reduces the AGS to a GP. In general, if the non-geometric factor is a polynomial of degree m, you apply the multiply-subtract trick m + 1 times.
Connection to differentiation of power series
There is a slick alternative derivation of \sum_{k=1}^{\infty} k\,x^{k-1}. Start with the geometric series:
Differentiate both sides with respect to x:
Multiply both sides by x:
This matches the AGS formula with a = 1, d = 1. Differentiating again and multiplying by x gives \sum k^2 x^k, and so on. Each differentiation "promotes" the power of k by one, generating AGS-like sums with higher polynomial coefficients.
A general viewpoint
The AGS formula is a special case of a broader principle: whenever you can reduce a complicated series to a simpler one by a shift-and-subtract operation, do it. The multiply-subtract trick for GPs, the AGS derivation, and the Method of Differences are all instances of this principle. The idea reappears in generating functions, recurrence relations, and the calculus of finite differences — different languages for the same core move.
Where this leads next
- Arithmetic Progression — the AP component of every AGS. Understanding how AP terms grow linearly is essential to seeing why the AGS blends linear and exponential behaviour.
- Geometric Progression — the GP component. The multiply-subtract trick originates here.
- Sum of Geometric Progression — the GP sum formula is used inside the AGS derivation to collapse the residual GP.
- Method of Differences — another technique for summing series whose general term is not a standard form. Where the AGS trick handles AP × GP products, the method of differences handles terms expressible as telescoping differences.
- Sigma and Pi Notation — the compact notation used to write AGS sums as \sum_{k=1}^{n} [a + (k-1)d]\,r^{k-1}.