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Summation Formulas

Reference for arithmetic series Sn = n(a₁+aₙ)/2 and geometric Sn = a₁(1-rⁿ)/(1-r).
Covers sum of integers n(n+1)/2, squares, cubes, and infinite series.

The Formula

Sum of first n integers: Σk = n(n+1)/2
Sum of first n squares: Σk² = n(n+1)(2n+1)/6
Sum of first n cubes: Σk³ = [n(n+1)/2]²

These closed-form summation formulas let you calculate totals instantly without adding each term one by one. They are building blocks for statistics, calculus, and computer science.

Variables

SymbolMeaning
ΣSigma — summation symbol (add all terms)
kIndex variable (runs from 1 to n)
nNumber of terms to sum

Example 1

Find the sum of all integers from 1 to 100

Σk = n(n+1)/2 = 100 × 101 / 2

Sum = 5,050

Example 2

Find the sum of squares from 1² to 10²

Σk² = n(n+1)(2n+1)/6 = 10 × 11 × 21 / 6

= 2,310 / 6

Sum = 385

When to Use It

Use summation formulas when:

  • Adding large sequences of numbers efficiently
  • Deriving formulas in statistics (variance, standard deviation)
  • Analyzing algorithm complexity in computer science
  • Solving series and sequences problems in calculus

Key Notes

  • Gauss derived Σk = n(n+1)/2 at age 9 by pairing the first and last terms: 1+100=101, 2+99=101, ... giving 50 pairs of 101 = 5,050
  • These formulas assume the index runs from k=1 to n; for a sum starting at k=m, compute the sum from 1 to n and subtract the sum from 1 to m−1
  • The sum of the first n cubes equals the square of the sum of the first n integers: Σk³ = (Σk)² — a remarkable identity

Key Notes

  • Sigma notation: Σᵢ₌ₘⁿ f(i): Means "evaluate f(i) at each integer from m to n and add the results." The index i is a dummy variable — the sum's value does not depend on what letter is used. The bounds and function f(i) fully define the sum.
  • Key closed-form results: Σᵢ₌₁ⁿ i = n(n+1)/2; Σᵢ₌₁ⁿ i² = n(n+1)(2n+1)/6; Σᵢ₌₁ⁿ i³ = [n(n+1)/2]². These allow computing the sum of the first n integers (or squares, or cubes) without adding term by term.
  • Geometric series: Σᵢ₌₀ⁿ rⁱ = (rⁿ⁺¹−1)/(r−1): For |r| < 1, the infinite series converges: Σᵢ₌₀^∞ rⁱ = 1/(1−r). This underpins present-value annuity formulas, probability generating functions, and digital filter design.
  • Linearity: Σ(af(i) + bg(i)) = aΣf(i) + bΣg(i): Constants factor out and sums of sums split. This makes simplification of complex summations much easier and mirrors the linearity of integrals.
  • Connection to integrals: A Riemann sum Σf(xᵢ)Δx approximates a definite integral. As n → ∞ and Δx → 0, the sum becomes the integral exactly. This is the fundamental link between discrete summation and continuous integration.

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