2026-09-29 9 min

Power Series Calculator

Evaluate a polynomial-style power series sum a(k)·(x−c)^k at x with Horner-like accumulation plus a ratio radius note.

Calculator

Power Series Inputs

Center (c)
Point (x)
Coefficients a(0), a(1), ... (comma separated)

a(0) first, up to 12 numbers. Parsed: 4

Results update live as you type
Status:P(1) = 2.6667OUTSIDE hint R≈1

Power Series Summary

P(x)2.6667
TrustOutside hint
Setupc=0, x=1

Term list

1, 1, 0.5, 0.1667

Bars show each term\'s contribution; the running line accumulates them.

Results

Caution

P(x) Value

2.6667

Truncated sum

Displacement t = x−c

1

Power base

Radius Hint R

1

min |a(k)/a(k+1)|

Inside Hint?

No — suspect

|t| vs R

Last Term

0.1667

Truncation tail

Terms Used

4

Parsed coefficients

Horner-like accumulation on t = x−c; radius hint from adjacent coefficient ratios with inside/outside flag.

Visualizations

Series term contributions

1a1
1a2
0.5a3
0.2a4

Accumulation toward P(x)

Terms used

count / 124

P(x) vs |displacement|

P(x)2.7

Formula

Powers of the displacement fan out from the center, weighted by your coefficients — Horner-style accumulation keeps it stable.

P(x) = a(0) + a(1)(x−c) + ... + a(m-1)(x−c)^(m-1)

Alternative Form

Radius hint: R ≈ min |a(k)/a(k+1)| over usable pairs

Variables

SymbolNameUnitDescription
a(k)CoefficientsnumberComma list, a(0) first
cCenternumberExpansion point
xEvaluation pointnumberWhere to sum
RRadius hintnumberAdjacent-ratio estimate

Explanation

Near the center, high powers vanish and few terms suffice; far away, they explode — the radius marks the border.

Derivation

Direct Horner-like loop on t = x − c. Ratio hint from |a(k)/a(k+1)| per the ratio test on series terms.

Step-by-Step Calculation

Follow each step to understand how the result is calculated from your inputs.

Step 1

Parse coefficients in a(0)-first order.

Split on commas
coeffs:1, 1, 0.5, 0.1667
c:0
x:1
Result: 4 coefficients parsed
Step 2

Form the displacement from the center.

t = x − c
Intermediate: 1 − 0 = 1
Result: t = 1
Step 3

Accumulate term by term.

term(k) = a(k)·t^k
Intermediate: 1, 1, 0.5, 0.1667
Result: P = 2.6667
Step 4

Note the truncation tail.

last term magnitude
Intermediate: 0.1667
Result: tail ≈ 0.1667
Step 5

Estimate the radius from neighbors.

R ≈ min|a(k)/a(k+1)|
Intermediate: R ≈ 1
Result: R ≈ 1
Step 6

Judge trust by displacement vs radius.

|t| < R ?
Intermediate: |1| vs 1
Result: Outside — treat as suspect
Final Answer
2.6667

Worked Examples

See how the calculator works with different scenarios.

Scenario

c=0, x=1, 4 coeffs.

Inputs

coeffs:1, 1, 0.5, 0.1667
c:0
x:1

Calculation

P = 1+1+0.5+0.1667 = 2.6667

Result

P(1) ≈ 2.6667

Interpretation

Four terms already near e ≈ 2.718.

Understanding Your Result

Your Result: P(x) for your coefficients, center, and x — see the value card.

Typical range: Up to 12 coefficients parsed; |x − c| vs R hint judges trust.

What This Means

The truncated power-series value at x around c.

Why It Matters

Taylor polynomials, generating functions, and signal filters all evaluate this exact sum.

Professional Interpretation

If |x − c| exceeds the hint, the page warns the truncation may mislead — radius discipline built in.

Recommendations

  • •List a(0) first
  • •Compare |x−c| with R hint
  • •Use more terms near the edge
  • •Verify constant series returns a(0)
  • •Watch alternating cancellation

Educational Content

Introduction

Feed the weights, pick where to stand, and add up the powers — centered arithmetic at its cleanest.

Concept Explanation

Centered monomials as a basis: displacement powers scaled by coefficients.

Applications

▸Taylor polynomial evaluation
▸Generating-function queries
▸Filter tap summation
▸Curve fitting checks
▸Physics perturbation sums
▸Probability moments

Benefits

  • •Comma-list input
  • •Horner-like stability
  • •Radius hint included
  • •Term-by-term trace
  • •Center-agnostic math

Limitations

  • •Truncated sums only
  • •Hint needs 2+ nonzero neighbors
  • •12-coefficient parse cap

Best Practices

  • •Order a(0) first
  • •Count terms used
  • •Check displacement size
  • •Compare hint vs distance
  • •Verify tiny displacements

Common Misconceptions

Myth: More terms always help.
Truth: Outside the radius, partials can worsen — check |x−c| < R.
Myth: Center does not matter.
Truth: It anchors every power: (x−c)^k shifts the whole basis.
Myth: Radius hint is exact.
Truth: It is a neighbor-ratio heuristic for truncated lists.
Myth: Coefficient order is free.
Truth: a(0) must lead; reversal evaluates a different series.

Practical Tips

  • •Enter a(0) first, comma separated
  • •Compare displacement with the R hint
  • •Add terms when near the edge
  • •Verify constants return a(0)
  • •Keep coefficients finite
  • •Quote value with center
  • •Re-check order after edits

Common Mistakes

Reversing coefficient order
Lead with a(0); last entry is the highest power.
Evaluating far outside R
Recenter or accept divergence — do not trust the number.
Mixing x with (x−c)
Powers use displacement t = x − c, not raw x.
Reading R hint as guarantee
Treat as guidance from few ratios.
Pasting non-numbers
Non-numeric tokens are ignored; check the parsed count.

Assumptions

This calculator makes the following assumptions to provide estimates:

Listed order: a(0) first through highest last.
Truncation: Sum covers parsed terms only.
Real arithmetic: c, x real.
Double powers: t^k in doubles.
Local only: Browser-side.

Limitations

Be aware of these limitations when using this calculator:

Finite truncation: True infinite behavior needs theory.
Heuristic radius: Few ratios, not a proof.
Parse cap: 12 coefficients max.
Cancellation noise: Alternating far sums round.

Frequently Asked Questions

Answers to common questions about this calculator.

How do I enter coefficients?
Comma separated, a(0) first: e^x ≈ 1,1,0.5,0.1667,...
Example e^1?
c=0, x=1, coeffs 1,1,0.5,0.1667,0.0417 → ≈ 2.708 (5 terms).
What is the center?
Where displacements start: t = x − c. Maclaurin means c = 0.
What is the radius hint?
Smallest usable |a(k)/a(k+1)| — believable inside, suspect outside.
Why Horner-like?
Nesting t-factors reduces rounding vs raw powers.
How many terms?
Up to 12 parsed; near-center needs few, near-edge needs many.
Alternating series?
Signs ride in coefficients; cancellation can cost digits far out.
Constant series?
Single a(0) returns a(0) everywhere.
Divergence?
Beyond R the infinite series fails — truncation is then decorative.
Stored?
No.

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Related Guides

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Glossary

Technical terms used in mortgage calculations explained in plain language.

Power series
Sum a(k)(x−c)^k.
Coefficient
Weight a(k) of the kth power.
Center
c anchoring displacements.
Displacement
t = x − c.
Truncation
Finite prefix of the series.
Radius of convergence
R bounding reliable x.
Ratio hint
min |a(k)/a(k+1)| estimate.
Horner scheme
Nested evaluation order.
Monomial basis
(x−c)^k building blocks.

Authoritative References

Trusted sources and standards referenced by this calculator.

Applicable Standards

Common Core HSF-BF.A — building sequences and seriesNCTM Number and Operations — patterns, functions, and series

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Page Information

Last Updated:

2026-09-29

Version:

2.0.0

License:

Free to use for educational and professional purposes.