Intuition What this page is for
The parent note proved the four formulas. This page drills every situation a problem can put you in. We start by mapping out every kind of case — then solve one example per cell so you never meet a scenario you haven't seen.
Before we touch numbers, let's recall our four tools in one place — these are the only "facts" every example below stands on. If any symbol here is new to you, read the parent note first: it builds each one from scratch.
Every Σ-problem you will ever meet is one of these cells . The final column names the example that clears it. The flow-map below the table shows the decision path — how you route any incoming problem to its cell.
#
Case class
What makes it tricky
Cleared by
A
Plain single sum, start at k = 1
none — pure formula recall
Example 1
B
Linear combination (mixed powers)
must split by linearity
Example 2
C
Shifted start (k = a , a > 1 )
formulas assume start = 1 ; subtract the head
Example 3
D
Degenerate / boundary n = 0 , 1
does the formula still behave?
Example 4
E
Reindex a "weird" sum into standard form
terms not written as k p
Example 5
F
Dot-counting / figurate (triangular stack) — NOT a geometric series r k
translate a picture into ∑ k
Example 6
G
Limiting behaviour (n → ∞ , ratio)
the ∼ n p + 1 / ( p + 1 ) rule
Example 7
H
Real-world word problem (units!)
model first, then sum
Example 8
I
Exam twist: solve for n (equation)
run the formula backwards
Example 9
J
Steel-man trap: illegal algebra
catch a fake identity
Example 10
no, it is a picture or word problem
Cell B split by linearity
Cell C shift subtract head
Ten examples, ten cells. Let's go.
Worked example Example 1 —
k = 1 ∑ 15 k 2
Forecast: guess whether the answer is nearer 1000 or 1500 before computing.
Pick the right formula. We have pure squares, start at 1 → use ∑ k 2 = 6 n ( n + 1 ) ( 2 n + 1 ) .
Why this step? Match the term shape (k 2 ) to its closed form; no splitting needed.
Substitute n = 15 .
6 15 ⋅ 16 ⋅ 31 .
Why this step? 2 n + 1 = 2 ( 15 ) + 1 = 31 ; plug all three factors.
Arithmetic. 15 ⋅ 16 = 240 , then 240 ⋅ 31 = 7440 , then 7440/6 = 1240 .
Why this step? Cancel the 6 last to keep integers clean.
Answer: 1240 .
Verify: rough size ≈ 3 n 3 = 3 3375 = 1125 — same ballpark as 1240 ✔. (Forecast: nearer 1000 –1500 , and it landed at 1240 .)
Worked example Example 2 —
k = 1 ∑ 10 ( 2 k 3 − 4 k + 7 )
Forecast: the k 3 term dominates; expect the answer in the thousands.
Split by linearity. 2 ∑ k 3 − 4 ∑ k + 7 ∑ 1 (all sums k = 1 to 10 ).
Why this step? You cannot evaluate a mixed term directly; break it into the three known sums.
Compute each piece at n = 10 .
∑ k 3 = [ 2 10 ⋅ 11 ] 2 = 5 5 2 = 3025 .
∑ k = 2 10 ⋅ 11 = 55 .
∑ 1 = 10 .
Why this step? Each sub-sum uses its own building block.
Reassemble. 2 ( 3025 ) − 4 ( 55 ) + 7 ( 10 ) = 6050 − 220 + 70 = 5900 .
Why this step? Restore the coefficients you pulled out in step 1.
Answer: 5900 .
Verify: dominant term 2 ∑ k 3 = 6050 ; corrections − 220 + 70 = − 150 push it to 5900 — consistent ✔.
Worked example Example 3 —
k = 7 ∑ 20 k
Forecast: it's most of ∑ 1 20 = 210 , minus a small head. Guess ≈ 190.
Rewrite as a difference of two full sums.
∑ k = 7 20 k = ∑ k = 1 20 k − ∑ k = 1 6 k .
Why this step? Our formula only knows sums that start at 1 . Chop off the unwanted head k = 1 … 6 by subtracting it.
The subtracted top index is a − 1 . Here start a = 7 , so we remove up to k = 6 .
Why this step? We must delete everything before k = 7 , i.e. k = 1 through k = 6 .
Evaluate. ∑ 1 20 k = 2 20 ⋅ 21 = 210 , ∑ 1 6 k = 2 6 ⋅ 7 = 21 .
Subtract. 210 − 21 = 189 .
Answer: 189 .
Verify: it's 14 terms (7 to 20 ) averaging 2 7 + 20 = 13.5 , so 14 ⋅ 13.5 = 189 ✔.
Worked example Example 4 — Do the formulas survive
n = 0 and n = 1 ?
Forecast: an empty sum should be 0 ; a one-term sum should equal its single term.
Test n = 0 (empty sum). By the convention above ∑ k = 1 0 ( … ) = 0 (no terms to add).
Formula ∑ k = 2 n ( n + 1 ) = 2 0 ⋅ 1 = 0 ✔.
∑ k 2 = 6 0 ⋅ 1 ⋅ 1 = 0 ✔. ∑ k 3 = [ 0 ] 2 = 0 ✔.
Why this step? A good closed form must return 0 for the empty case, or it's wrong outside its "tested" range.
Test n = 1 (single term). The sum is just the k = 1 term.
∑ k = 2 1 ⋅ 2 = 1 ✔ (term is 1 ).
∑ k 2 = 6 1 ⋅ 2 ⋅ 3 = 1 ✔ (term is 1 2 ).
∑ k 3 = [ 2 1 ⋅ 2 ] 2 = 1 ✔ (term is 1 3 ).
Why this step? Boundary n = 1 is the smallest non-trivial input; if it fails, the formula is broken.
Answer: all four formulas pass both boundary tests. The plot below shows how each running total climbs from n = 0 — read the legend to tell the four curves apart.
Verify: n = 0 ⇒ 0 and n = 1 ⇒ the single term, for every formula ✔.
Worked example Example 5 —
k = 1 ∑ n ( 2 k − 1 ) (the odd numbers)
Forecast: 1 + 3 + 5 + … — the odd numbers famously sum to a perfect square. Guess n 2 .
Recognise the disguise. 2 k − 1 for k = 1 , 2 , 3 gives 1 , 3 , 5 — the odd numbers. Not written as a plain k p , so split it .
Why this step? Linearity turns an unfamiliar term into familiar building blocks.
Split. ∑ ( 2 k − 1 ) = 2 ∑ k − ∑ 1 = 2 ⋅ 2 n ( n + 1 ) − n .
Why this step? Constant 2 slides out; the − 1 becomes − ∑ 1 = − n .
Simplify. n ( n + 1 ) − n = n 2 + n − n = n 2 .
Why this step? The + n and − n cancel — leaving a clean square.
Answer: k = 1 ∑ n ( 2 k − 1 ) = n 2 .
Verify (numeric, n = 5 ): 1 + 3 + 5 + 7 + 9 = 25 = 5 2 ✔.
Worked example Example 6 — How many dots in a triangular stack of
n rows?
Forecast: rows have 1 , 2 , 3 , … , n dots — this is ∑ k . Guess 2 n ( n + 1 ) .
Common mistake "Geometric" ≠ geometric series
This cell is about a geometric picture (a triangle of dots), not a geometric series ∑ r k where each term multiplies by a fixed ratio. Here each row adds one more dot — that's arithmetic, giving ∑ k .
Translate the picture into a sum. Row k holds exactly k dots, so the total is ∑ k = 1 n k .
Why this step? The whole skill is turning a shape into a Σ; see Triangular Numbers .
Apply the formula. ∑ k = 1 n k = 2 n ( n + 1 ) .
Plug n = 6 (the drawn stack): 2 6 ⋅ 7 = 21 .
Why this step? A concrete count we can literally verify by eye in the figure.
Answer: 2 n ( n + 1 ) ; for n = 6 , that's 21 dots.
Verify: count rows 1 + 2 + 3 + 4 + 5 + 6 = 21 ✔ (matches the figure's dots).
Worked example Example 7 — What does
n 3 ∑ k = 1 n k 2 approach as n → ∞ ?
Forecast: the parent note said ∑ k p ∼ p + 1 n p + 1 . For p = 2 that's 3 n 3 , so the ratio should tend to 3 1 .
Write the exact ratio.
n 3 1 ⋅ 6 n ( n + 1 ) ( 2 n + 1 ) = 6 n 2 ( n + 1 ) ( 2 n + 1 ) .
Why this step? Divide the closed form by n 3 so the leading powers can compete.
Expand the top. ( n + 1 ) ( 2 n + 1 ) = 2 n 2 + 3 n + 1 , giving 6 n 2 2 n 2 + 3 n + 1 .
Why this step? To see which term dominates as n grows huge.
Divide every term by n 2 . 6 2 + 3/ n + 1/ n 2 . As n → ∞ , the 3/ n and 1/ n 2 vanish.
Why this step? Anything with n in the denominator shrinks to 0 for large n .
Take the limit. 6 2 = 3 1 .
Answer: the ratio → 3 1 . This is exactly ∫ 0 1 x 2 d x — see Definite Integrals as Limits of Sums .
Verify (numeric, n = 1000 ): 6 ⋅ 1 0 6 ( 1001 ) ( 2001 ) ≈ 0.3338 , close to 0.3 3 ✔.
Worked example Example 8 — Stadium seating
Statement: A curved stand has 12 rows. Row 1 has 30 seats and each row adds 4 seats. How many seats total? (This is an arithmetic progression in disguise.)
Forecast: average row ≈ 52 seats × 12 rows ≈ 620. Guess near there.
Model row k . Seats in row k = 30 + 4 ( k − 1 ) = 26 + 4 k .
Why this step? Start value 30 at k = 1 , adding 4 per step → linear in k .
Set up the total. k = 1 ∑ 12 ( 26 + 4 k ) .
Why this step? Total seats = sum of each row's seats over all 12 rows.
Split by linearity. 26 ∑ 1 + 4 ∑ k = 26 ( 12 ) + 4 ⋅ 2 12 ⋅ 13 .
Compute. 312 + 4 ( 78 ) = 312 + 312 = 624 seats .
Why this step? Units stay "seats" throughout — no unit error.
Answer: 624 seats.
Verify: last row has 26 + 4 ( 12 ) = 74 seats; average of first (30 ) and last (74 ) is 52 ; 52 × 12 = 624 ✔.
Worked example Example 9 — Find
n if k = 1 ∑ n k = 78 .
Forecast: ∑ k ≈ 2 n 2 , so n 2 ≈ 156 , meaning n near 12 .
Set the formula equal to the given total. 2 n ( n + 1 ) = 78 .
Why this step? We now run the formula in reverse — the total is known, n is the unknown.
Clear the fraction. n ( n + 1 ) = 156 , i.e. n 2 + n − 156 = 0 .
Why this step? Turn it into a standard quadratic to solve.
Solve the quadratic. Discriminant = 1 + 4 ( 156 ) = 625 = 2 5 2 . So n = 2 − 1 + 25 = 12 (reject the negative root — n counts terms, must be positive).
Why this step? Only a positive integer n makes physical sense.
Answer: n = 12 .
Verify: 2 12 ⋅ 13 = 78 ✔.
Worked example Example 10 — Is
k = 1 ∑ n k 2 = ( k = 1 ∑ n k ) ? ever clean like the cube case?
Statement: A student, dazzled by ∑ k 3 = ( ∑ k ) 2 , claims ∑ k 2 = ( ∑ k ) 3/2 . Test it.
Forecast: the cube identity is a lucky coincidence for p = 3 only — expect this to fail .
Take the smallest real test, n = 3 .
∑ k 2 = 1 + 4 + 9 = 14 . ∑ k = 1 + 2 + 3 = 6 .
Why this step? One counterexample kills a universal claim — pick a small n where you can compute both sides exactly.
Evaluate the claimed right side. ( ∑ k ) 3/2 = 6 3/2 = 216 ≈ 14.70 .
Why this step? Compute the candidate and compare.
Compare. 14 = 14.70 . The identity is false .
Why this step? Even the closest-looking guess breaks; the cube result does not generalise (parent note, Slip 1).
Answer: no such clean power law for ∑ k 2 — always derive , never pattern-match.
Verify: ∑ k 2 = 14 but 6 3/2 ≈ 14.697 = 14 ✔ (mismatch confirmed).
Recall Scenario checklist — did we cover every cell?
Plain recall (A) ::: Example 1
Mixed powers / linearity (B) ::: Example 2
Shifted start k = a (C) ::: Example 3, using ∑ a b = ∑ 1 b − ∑ 1 a − 1
Degenerate n = 0 , 1 (D) ::: Example 4 — formulas return 0 and the single term
Reindex a disguised sum (E) ::: Example 5 — odd numbers sum to n 2
Dot-counting / figurate (F) ::: Example 6 — triangular stack = 2 n ( n + 1 )
Limit / ratio (G) ::: Example 7 — ratio → 3 1
Word problem with units (H) ::: Example 8 — 624 seats
Solve for n backwards (I) ::: Example 9 — n = 12
Trap / false identity (J) ::: Example 10 — ∑ k 2 = ( ∑ k ) 3/2
Reversed / empty bounds ::: any ∑ with upper < lower is defined to be 0
Mnemonic The three-move drill for any Σ-problem
Match → Split → Shift. Match the term to a formula; if it's mixed, Split by linearity; if it doesn't start at 1 , Shift with ∑ 1 b − ∑ 1 a − 1 .
Parent: the four proofs — the formulas drilled here.
Arithmetic Progressions — Example 8's seating is an AP; ∑ k is the simplest AP sum.
Triangular Numbers — Example 6's dot stack.
Definite Integrals as Limits of Sums — Example 7's limit is a Riemann sum.
Telescoping Series — the engine behind all four closed forms.
Mathematical Induction — verify any of these by induction instead.
Binomial Theorem — expands ( 2 k − 1 ) -style and ( k + 1 ) p terms.