NDA Maths · Binomial Theorem
Sums of Binomial Coefficients
Sums of binomial coefficients are read off by substituting clever values of x into (1+x)ⁿ — x = 1 gives the total, x = −1 gives the alternating sum, and differentiating first gives the weighted sums.
Why this matters
14 PYQs. The whole subtopic runs on one idea: the coefficients ARE the expansion, so plug a number into the right identity. x = 1, x = −1, and 'differentiate then substitute' cover almost everything; the Pascal-rule identities mop up the rest.
Concept 1 of 4: Sum of All Coefficients — Put x = 1
Definition
For any polynomial , the sum of all coefficients is . In particular:
- .
- Dropping the first term: .
- A weighted base: (e.g. ).
Sum of coefficients = f(1)
Worked example
Practice this concept2 quick reps
The same idea in a real exam question:
Example 1 · Binomial Theorem · Sums of Binomial Coefficients — Alternating, Weighted, and Symmetric
Sum of coefficients uses x = 1, not x = 0
Concept 2 of 4: Alternating & Odd/Even-Index Sums — Put x = −1
Definition
Substitute :
- Alternating sum: (for ).
- For a general polynomial, .
- Odd/even split: sum of even-index coefficients sum of odd-index coefficients . (They are equal because .)
- In , the odd-power terms cancel; in the difference, the even-power terms cancel.
- Two different halvings land on the same : the odd-INDEX and even-INDEX coefficients each sum to (above), and — separately, by symmetry — the FIRST half of the coefficients and the LAST half also each sum to when is odd (for even the middle coefficient is shared). So the last five coefficients of sum to , which the parity split alone cannot tell you.
Alternating sum and the split
Worked example
The same idea in a real exam question:
Example 2 · Binomial Theorem · Sums of Binomial Coefficients — Alternating, Weighted, and Symmetric
Concept 3 of 4: Weighted Sums via Differentiation
Definition
Start from and differentiate:
- Put : .
- Put : for .
Multiplying by before differentiating, or differentiating twice, handles -type sums.
Index-weighted sum
Worked example
Practice this concept1 quick reps
The same idea in a real exam question:
Example 3 · Binomial Theorem · Sums of Binomial Coefficients — Alternating, Weighted, and Symmetric
Differentiate first, substitute second
Concept 4 of 4: Pascal's Rule & Coefficient Identities
Definition
The recurring identities:
- Pascal's rule: .
- Pascal applied twice: .
- Symmetry: , so the first and last coefficients are equal, and "coefficient of and in " are equal.
- Middle-term split: (Pascal's rule on the central coefficient).
- Pascal read as a telescope — an alternating PARTIAL sum: does not run to the end, so is no use; instead write each and the inner terms cancel in pairs, leaving . For the symmetric block pair with : the ten terms collapse and the sum is — in this exam the intended reading is the single central coefficient ; write the terms out and cancel rather than trusting a named identity.
Pascal's rule (applied twice)
Worked example
The same idea in a real exam question:
Example 4 · Binomial Theorem · Sums of Binomial Coefficients — Alternating, Weighted, and Symmetric
Pascal's rule needs adjacent lower indices on the SAME n
Summary — formulas & gotchas at a glance
A revision cheat-sheet for the formulas and gotchas above. Click any concept name to jump back to its full explanation.
Formulas (4)
- Sum of All Coefficients — Put x = 1
Sum of coefficients = f(1)
- Alternating & Odd/Even-Index Sums — Put x = −1
Alternating sum and the split
- Weighted Sums via Differentiation
Index-weighted sum
- Pascal's Rule & Coefficient Identities
Pascal's rule (applied twice)
Watch out for (3)
- Sum of coefficients uses x = 1, not x = 0→ Sum of All Coefficients — Put x = 1
- Differentiate first, substitute second→ Weighted Sums via Differentiation
- Pascal's rule needs adjacent lower indices on the SAME n→ Pascal's Rule & Coefficient Identities
Test yourself on Binomial Theorem
15 past NDA questions from this chapter, timed at 19 minutes and marked the way the exam marks it. You see your score and every answer the moment you finish. Free to start.