Skip to content
M
hscscience Ext 1 · Y12
0/100daily goal
0
0
0 due
0
L1 · 0 XP
KJ
Your weak spots
Insights load after your first practice round.
Module 5 · L16 of 20 ~40 min ⚡ +100 XP available

Induction for Combinatorial Identities

How many subsets does a set of $n$ elements have? Exactly $2^n$ — and induction proves it in a few elegant lines using Pascal's identity. In this lesson you'll master how $\binom{n}{r}+\binom{n}{r-1}=\binom{n+1}{r}$ powers the inductive step for binomial coefficient identities.

Today's hook — A set has $n$ elements. How many subsets does it have? Try small cases: $n=0$ (just $\emptyset$), $n=1$ ($\emptyset$ and $\{a\}$), $n=2$, $n=3$. Write the counts below and spot the pattern before reading on.
0/5QUESTS
01
Recall — your gut answer first
+5 XP warm-up

Count the number of subsets of a set for small values of $n$: try $n = 0, 1, 2, 3$. What pattern do you see? Can you predict the count for $n = 4$ before checking?

auto-saved
02
The two moves
+5 XP to read

Combinatorial induction always comes down to two key moves: split the $(k+1)$ sum into boundary terms and an inner sum, then apply Pascal's identity to convert $\binom{k+1}{r}$ back into two $\binom{k}{\cdot}$ terms, and finally use the inductive hypothesis.

Pascal's identity connects adjacent rows of Pascal's triangle:

$\binom{n}{r} + \binom{n}{r-1} = \binom{n+1}{r}$

Reading backwards: $\binom{k+1}{r} = \binom{k}{r} + \binom{k}{r-1}$. This is how you break row $k+1$ into row $k$ pieces.

$\displaystyle\sum_{r=0}^{k+1}\binom{k+1}{r} = 2 \cdot \sum_{r=0}^{k}\binom{k}{r} = 2 \cdot 2^k = 2^{k+1}$
Boundary terms
$\binom{n}{0} = 1$ and $\binom{n}{n} = 1$ for all $n$. Split these out of the sum before applying Pascal's identity to the inner terms.
Index shifting
When you substitute $s = r - 1$, change both the summand and the limits. A sum from $r=1$ to $k+1$ becomes $s=0$ to $k$.
Base case at $n=0$
$\sum_{r=0}^{0}\binom{0}{r} = \binom{0}{0} = 1 = 2^0$. This is the natural starting point for many combinatorial identities.
03
What you'll master
Know

Key facts

  • Pascal's identity: $\binom{n}{r}+\binom{n}{r-1}=\binom{n+1}{r}$
  • $\sum_{r=0}^{n}\binom{n}{r} = 2^n$ (total subsets of an $n$-element set)
  • Absorption identity: $r\binom{n}{r} = n\binom{n-1}{r-1}$
Understand

Concepts

  • How Pascal's identity connects row $k$ to row $k+1$ of Pascal's triangle
  • Why boundary terms $\binom{n}{0}$ and $\binom{n}{n}$ must be separated before applying Pascal's identity
  • How index substitution ($s = r-1$) realigns summation limits
Can do

Skills

  • Prove $\sum_{r=0}^{n}\binom{n}{r}=2^n$ by induction using Pascal's identity
  • Prove $\sum_{r=0}^{n}(-1)^r\binom{n}{r}=0$ for $n\geq1$ by induction
  • Handle index shifts and boundary terms correctly in the inductive step
04
Key terms
Pascal's identity$\binom{n}{r}+\binom{n}{r-1}=\binom{n+1}{r}$. Lets you express a row-$(n+1)$ binomial coefficient as a sum of two row-$n$ coefficients. The engine of combinatorial induction.
Binomial coefficient $\binom{n}{r}$The number of ways to choose $r$ items from $n$ without order: $\binom{n}{r}=\dfrac{n!}{r!(n-r)!}$. Satisfies $\binom{n}{0}=\binom{n}{n}=1$.
Boundary terms$\binom{k+1}{0}=1$ and $\binom{k+1}{k+1}=1$. These must be separated from the inner sum before Pascal's identity is applied to the remaining terms.
Absorption identity$r\binom{n}{r} = n\binom{n-1}{r-1}$. Used to simplify weighted sums of binomial coefficients in inductive proofs.
Index substitutionReplacing the summation variable (e.g. $s = r-1$) to match the summation limits of the inductive hypothesis. Limits must be updated when the variable changes.
Binomial theorem$(1+x)^n = \sum_{r=0}^{n}\binom{n}{r}x^r$. Setting $x=1$ gives $\sum\binom{n}{r}=2^n$; setting $x=-1$ gives $\sum(-1)^r\binom{n}{r}=0$.
05
Pascal's identity — the cornerstone
core concept

The cornerstone of binomial induction is Pascal's identity:

$$\binom{n}{r} + \binom{n}{r-1} = \binom{n+1}{r}$$

This lets us relate row $n$ of Pascal's triangle to row $n+1$, which is exactly what we need for the inductive step. Reading it in reverse: to express $\binom{k+1}{r}$ in terms of row-$k$ coefficients, we split it as $\binom{k}{r}+\binom{k}{r-1}$.

Why Pascal's identity works. Choosing $r$ items from $n+1$ can be split by whether or not the $(n+1)$-th item is included: $\binom{k}{r}$ (not included, choose all $r$ from the first $k$) plus $\binom{k}{r-1}$ (included, choose the remaining $r-1$ from the first $k$).

When we sum $\binom{k+1}{r}$ over $r$ from 1 to $k$, each term splits into two row-$k$ terms. After re-indexing the second group ($s=r-1$), both inner sums become $\sum_{r=0}^{k}\binom{k}{r}$, which equals $2^k$ by the inductive hypothesis.

The cornerstone of binomial induction is Pascal's identity :

Pause — copy Pascal's identity $\binom{k}{r-1}+\binom{k}{r}=\binom{k+1}{r}$ and explain why it holds: choosing $r$ items from $k+1$ either includes or excludes the new item into your book.

Quick check: Which identity lets you express $\binom{k+1}{r}$ as a sum of two row-$k$ binomial coefficients in the inductive step?

06
Proof: $\sum_{r=0}^{n}\binom{n}{r} = 2^n$
core concept

We just saw Pascal's identity $\binom{k}{r-1}+\binom{k}{r}=\binom{k+1}{r}$, which rewrites any row-$(k+1)$ term using row-$k$ terms. That raises a question: how does applying this to $\sum_{r=0}^{k+1}\binom{k+1}{r}$ and using the hypothesis $\sum_{r=0}^k\binom{k}{r}=2^k$ give the required $2^{k+1}$? This card answers it → the split sum equals $2\cdot\sum_{r=0}^k\binom{k}{r}=2\cdot2^k=2^{k+1}$.

Statement: Prove by induction that $\displaystyle\sum_{r=0}^{n}\binom{n}{r} = 2^n$ for all non-negative integers $n$.

Step 1 — Base Case ($n = 0$):

LHS $= \binom{0}{0} = 1$;   RHS $= 2^0 = 1$.   LHS = RHS. True for $n = 0$.

Step 2 — Inductive Hypothesis:

Assume $\displaystyle\sum_{r=0}^{k}\binom{k}{r} = 2^k$ for some $k \geq 0$.

Step 3 — Inductive Step ($n = k + 1$):

$$\sum_{r=0}^{k+1}\binom{k+1}{r} = \binom{k+1}{0} + \sum_{r=1}^{k}\binom{k+1}{r} + \binom{k+1}{k+1}$$

Apply Pascal's identity to the inner sum: $\binom{k+1}{r} = \binom{k}{r}+\binom{k}{r-1}$

$$= 1 + \sum_{r=1}^{k}\left[\binom{k}{r}+\binom{k}{r-1}\right] + 1$$

Split and re-index the second group ($s = r-1$, so $s$ runs from $0$ to $k-1$):

$$= \sum_{r=0}^{k}\binom{k}{r} + \sum_{r=0}^{k}\binom{k}{r} = 2^k + 2^k = 2^{k+1}$$

True for $n = k+1$. By the principle of mathematical induction, true for all $n \geq 0$. ∎

Why does re-indexing work? The sum $\sum_{r=1}^{k}\binom{k}{r-1}$ has terms $\binom{k}{0},\binom{k}{1},\ldots,\binom{k}{k-1}$. After adding the boundary terms $\binom{k+1}{0}=1=\binom{k}{0}$ and $\binom{k+1}{k+1}=1=\binom{k}{k}$, both groups cover all of $\binom{k}{0}$ through $\binom{k}{k}$.

Statement: Prove by induction that $\displaystyle\sum_{r=0}^{n}\binom{n}{r} = 2^n$ for all non-negative integers $n$.

Pause — copy the induction proof that $\sum_{r=0}^n\binom{n}{r}=2^n$, highlighting how the Pascal split converts the $k+1$ sum into $2\times2^k$ into your book.

Did you get this? True or false: in the proof of $\sum_{r=0}^{n}\binom{n}{r}=2^n$, we separate the terms $\binom{k+1}{0}$ and $\binom{k+1}{k+1}$ so that Pascal's identity can be applied cleanly to the remaining inner terms.

PROBLEM 1 · ALTERNATING SUM

Prove by induction that $\displaystyle\sum_{r=0}^{n}(-1)^r\binom{n}{r} = 0$ for all integers $n \geq 1$.

1
Base case ($n = 1$): $(-1)^0\binom{1}{0} + (-1)^1\binom{1}{1} = 1 - 1 = 0$. True.
For $n\geq1$, start at $n=1$. Notice the base case is the simplest non-trivial check.
PROBLEM 2 · WEIGHTED SUM

Prove by induction that $\displaystyle\sum_{r=0}^{n}r\binom{n}{r} = n2^{n-1}$ for all positive integers $n$.

1
Base case ($n = 1$): LHS $= 0\cdot\binom{1}{0} + 1\cdot\binom{1}{1} = 1$; RHS $= 1\cdot2^0 = 1$. True.
Verify the formula directly at $n=1$ before proceeding.
PROBLEM 3 · VERIFY PASCAL

Verify Pascal's identity $\binom{n}{r}+\binom{n}{r-1}=\binom{n+1}{r}$ algebraically (using the formula for $\binom{n}{r}$), for general $n$ and $1 \leq r \leq n$.

1
$\binom{n}{r}+\binom{n}{r-1} = \dfrac{n!}{r!(n-r)!}+\dfrac{n!}{(r-1)!(n-r+1)!}$
Expand using the definition $\binom{n}{r}=\dfrac{n!}{r!(n-r)!}$.

Fill the gap: By the inductive hypothesis, $\displaystyle\sum_{r=0}^{k}\binom{k}{r} = $. Doubling this gives $2^{k+1}$, completing the inductive step for $\sum\binom{n}{r}=2^n$.

Trap 01
Dropping boundary terms
When you split $\sum_{r=0}^{k+1}\binom{k+1}{r}$, the terms $\binom{k+1}{0}=1$ and $\binom{k+1}{k+1}=1$ must be accounted for. If you apply Pascal's identity to every term without separating these, the index $(r-1)$ reaches $-1$, where $\binom{k}{-1}$ is undefined (or zero, but you cannot silently assume that).
Trap 02
Forgetting to update summation limits after re-indexing
When you substitute $s = r - 1$, the limit $r=1$ becomes $s=0$ and the limit $r=k$ becomes $s=k-1$. Missing this adjustment makes the sum run over wrong values and the IH cannot be applied.
Trap 03
Starting the base case at $n=1$ when $n=0$ is valid
$\sum_{r=0}^{0}\binom{0}{r}=\binom{0}{0}=1=2^0$, so $n=0$ is a valid (and natural) base case. Starting at $n=1$ is not wrong, but $n=0$ is cleaner and reflects the combinatorial meaning (one empty subset).

Did you get this? True or false: when re-indexing with $s = r - 1$, a sum $\sum_{r=1}^{k}$ becomes $\sum_{s=0}^{k-1}$.

Work mode · how are you completing this lesson?
1

State Pascal's identity from memory. Then verify it numerically for $n=4$, $r=2$.

2

In the inductive step for $\sum\binom{n}{r}=2^n$, after separating boundary terms, write out the sum $\sum_{r=1}^{k}\binom{k+1}{r}$ with Pascal's identity applied. Do not simplify yet.

3

Prove by induction that $\displaystyle\sum_{r=0}^{n}\binom{n}{r} = 2^n$ for all $n \geq 0$ in full exam style.

4

Verify the alternating sum identity $\sum_{r=0}^{n}(-1)^r\binom{n}{r}=0$ for $n=3$ directly (expand all terms).

5

Explain in one sentence why $\binom{k+1}{0}$ and $\binom{k+1}{k+1}$ must be separated from the inner sum before applying Pascal's identity.

Odd one out: Three of these statements about combinatorial induction proofs are true. Which one is FALSE?

11
Revisit your thinking

Earlier you counted subsets for small $n$: 1, 2, 4, 8. That pattern is $2^n$.

The induction proof captures why: when you add a new element to a set of size $k$, every existing subset either excludes the new element (the original $2^k$ subsets) or includes it (another $2^k$ subsets). So the count doubles: $2^k + 2^k = 2^{k+1}$. Pascal's identity makes that same doubling argument work in algebraic form for the binomial coefficient sum.

auto-saved
01
Multiple choice
+5 XP per correct · +25 XP all-correct

Pick your answer, then rate your confidence — that tells the system what to drill next. Each retry pulls a fresh mix from the bank.

02
Short answer
ApplyBand 31 mark

Q1. State Pascal's identity and verify it for $n=5$, $r=3$. (1 mark)

auto-saved
ApplyBand 43 marks

Q2. Prove by induction that $\displaystyle\sum_{r=0}^{n}\binom{n}{r} = 2^n$ for all non-negative integers $n$. (3 marks)

auto-saved
AnalyseBand 53 marks

Q3. Prove by induction that $\displaystyle\sum_{r=0}^{n}(-1)^r\binom{n}{r} = 0$ for all integers $n \geq 1$. (3 marks)

auto-saved
Comprehensive answers (click to reveal)

Q1 (1 mark): Pascal: $\binom{n}{r}+\binom{n}{r-1}=\binom{n+1}{r}$. Verify: $\binom{5}{3}+\binom{5}{2}=10+10=20=\binom{6}{3}$. [1]

Q2 (3 marks): Base $n=0$: $\binom{0}{0}=1=2^0$ [1]. IH: $\sum_{r=0}^{k}\binom{k}{r}=2^k$. Step: separate boundary terms, apply Pascal to inner sum, re-index to get $\sum_{r=0}^{k}\binom{k}{r}+\sum_{r=0}^{k}\binom{k}{r}=2\cdot2^k=2^{k+1}$ [1]. Conclusion [1].

Q3 (3 marks): Base $n=1$: $1-1=0$ [1]. IH: $\sum_{r=0}^{k}(-1)^r\binom{k}{r}=0$. Step: apply Pascal to each $\binom{k+1}{r}$, split into two sums both equal to 0 by IH (or equal and opposite), giving total 0 [1]. Conclusion [1].

01
Boss battle · The Pascal Master
earn bronze · silver · gold

Five timed questions. Beat the boss to bank a tier — gold (90% + speed), silver (75%), or bronze (50%). Replays welcome.

⚔ Enter the arena
02
Science Jump · platform challenge

Climb platforms by answering combinatorial induction questions. Lighter alternative to the boss.

Mark lesson as complete

Tick when you've finished the practice and review.

🎓
Want help with Induction for Combinatorial Identities?

Work through this topic 1-on-1 with an experienced HSC tutor.

Book a free session →