SERIESSUM Function

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The Excel SERIESSUM function evaluates a power series — it sums coefficients multiplied by rising powers of x, the building block behind many engineering and Taylor-series approximations.


Quick answer:
=SERIESSUM(2,1,1,{1,1,1}) 1*2^1 + 1*2^2 + 1*2^3 = 14

Syntax

=SERIESSUM(x, n, m, coefficients)
ArgumentDescription
xRequiredThe base value plugged into the power series.
nRequiredThe first power of x to use.
mRequiredThe step by which the power increases for each successive coefficient.
coefficientsRequiredThe set of coefficients that multiply each successive power of x. One term is added per coefficient.

How to use it

SERIESSUM builds the series a₁·xⁿ + a₂·xⁿ⁺₁ⁿ + a₃·xⁿ⁺₂ⁿ + ...: it starts at power n, raises the power by m for each coefficient, and multiplies by that coefficient.

=SERIESSUM(2,1,1,{1,1,1}) // 2 + 4 + 8 = 14
=SERIESSUM(2,0,1,{1,1,1}) // 1 + 2 + 4 = 7
=SERIESSUM(3,1,2,{1,1}) // 3 + 27 = 30

With x=2, n=1, m=1 and coefficients {1,1,1}, the powers are 1, 2, 3, so the sum is 2¹ + 2² + 2³ = 14. Using an array constant in braces keeps the formula self-contained; in practice the coefficients are usually a cell range.

Why it matters: Taylor and Maclaurin series — the polynomial approximations behind functions like eₙ, sine, and cosine — are exactly this shape, which is why SERIESSUM is a staple in engineering models.

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Live demo

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Result:

Practice workbook

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Frequently asked questions

What do the n and m arguments control?
n is the starting power of x; m is how much the power increases for each next coefficient. With n=1, m=1 the powers run 1, 2, 3...; with n=0, m=2 they run 0, 2, 4...
How is SERIESSUM(2,1,1,{1,1,1}) equal to 14?
The powers start at 1 and step by 1, so they are 1, 2, 3. Each coefficient is 1, giving 1·2¹ + 1·2² + 1·2³ = 2 + 4 + 8 = 14.
Can I use a cell range for the coefficients?
Yes — the coefficients argument is normally a range like A1:A4. An array constant such as {1,1,1} works too and keeps the formula self-contained.
What is SERIESSUM used for in practice?
Evaluating power series — especially Taylor and Maclaurin approximations of functions like eₙ, sine, and cosine in engineering and finance.

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