Binomial Coefficient Properties
Binomial coefficients are the numerical values that appear in the expansion of expressions of the form (a + b)^n. Written as C(n, k) or \binom{n}{k}, they count the number of ways to choose k items from a set of n distinct items. These numbers form the rows of Pascal's Triangle and carry rich algebraic and combinatorial properties that make them essential throughout mathematics. The study of binomial coefficient properties goes far beyond simple counting. Key identities — such as the symmetry property, Pascal's identity, and the Vandermonde identity — reveal deep structural relationships between these coefficients. One of the most elegant results is that the sum of all binomial coefficients in a row of Pascal's Triangle equals a power of 2, a fact that follows directly from the Binomial Theorem by substituting specific values. Understanding these properties allows students to simplify complex expressions, prove combinatorial identities, and solve problems in probability, number theory, and discrete mathematics. In this article, we explore the most important properties of binomial coefficients, show how they are derived, and work through concrete examples to build genuine fluency.
- Definition and Formula
- Symmetry Property
- Pascal's Identity
- Sum of All Coefficients
- Alternating Sum Identity
- Vandermonde's Identity
- Hockey Stick Identity
Definition and Formula
The binomial coefficient \binom{n}{k} (read 'n choose k') is defined for non-negative integers n and k with k \leq n as: \binom{n}{k} = \frac{n!}{k!(n-k)!}. For example, \binom{6}{2} = \frac{6!}{2! \cdot 4!} = \frac{720}{2 \cdot 24} = 15. Also, \binom{n}{0} = 1 and \binom{n}{n} = 1 for all n.
Symmetry Property
Binomial coefficients are symmetric: \binom{n}{k} = \binom{n}{n-k}. This makes sense combinatorially — choosing k items to include is the same as choosing n - k items to exclude. For example, \binom{8}{3} = \binom{8}{5} = 56. In Pascal's Triangle, each row reads the same forwards and backwards because of this property.
Pascal's Identity
Pascal's Identity states that \binom{n}{k} = \binom{n-1}{k-1} + \binom{n-1}{k}. This is the rule that builds each entry in Pascal's Triangle by adding the two entries directly above it. Proof: \frac{(n-1)!}{(k-1)!(n-k)!} + \frac{(n-1)!}{k!(n-1-k)!} = \frac{(n-1)!\cdot k + (n-1)!\cdot(n-k)}{k!(n-k)!} = \frac{(n-1)! \cdot n}{k!(n-k)!} = \binom{n}{k}.
Sum of All Coefficients
Substituting a = 1 and b = 1 into the Binomial Theorem (a+b)^n = \sum_{k=0}^{n}\binom{n}{k}a^{n-k}b^k gives: 2^n = \sum_{k=0}^{n}\binom{n}{k}. So the sum of all binomial coefficients in row n equals 2^n. For n = 4: \binom{4}{0}+\binom{4}{1}+\binom{4}{2}+\binom{4}{3}+\binom{4}{4} = 1+4+6+4+1 = 16 = 2^4.
Alternating Sum Identity
Substituting a = 1 and b = -1 into the Binomial Theorem gives: 0 = \sum_{k=0}^{n}\binom{n}{k}(-1)^k = \binom{n}{0} - \binom{n}{1} + \binom{n}{2} - \cdots. This means the sum of even-positioned coefficients equals the sum of odd-positioned coefficients, each equal to 2^{n-1}. For n=4: (1+6+1) = (4+4) = 8 = 2^3.
Vandermonde's Identity
Vandermonde's Identity states: \sum_{j=0}^{r}\binom{m}{j}\binom{n}{r-j} = \binom{m+n}{r}. This identity is proven by considering two groups of m and n people, and counting the ways to choose r people in total. A special case is \sum_{k=0}^{n}\binom{n}{k}^2 = \binom{2n}{n}, which gives the central binomial coefficient.
Hockey Stick Identity
The Hockey Stick (or Christmas Stocking) Identity states: \sum_{i=r}^{n}\binom{i}{r} = \binom{n+1}{r+1}. For example, \binom{2}{2}+\binom{3}{2}+\binom{4}{2}+\binom{5}{2} = 1+3+6+10 = 20 = \binom{6}{3}. In Pascal's Triangle, if you trace a diagonal and then cut across, the sum along the diagonal equals the corner entry — hence the 'hockey stick' shape.
The Key Equation
- n — Row index (dimensionless): A non-negative integer indicating which row of Pascal's Triangle (and which power in the binomial expansion) is being considered.
- k — Selection index (dimensionless): An integer running from 0 to n, indicating which term in the binomial expansion is selected.
- \binom{n}{k} — Binomial coefficient (dimensionless): The number of ways to choose k objects from n, equal to n! divided by k!(n-k)!. It is the k-th coefficient in the expansion of (a+b)^n.
- 2^n — Total sum (dimensionless): The result of the sum, obtained by substituting a = b = 1 in the Binomial Theorem (1+1)^n = 2^n.
Worked Example
Problem. Use binomial coefficient properties to evaluate: (a) \binom{10}{7}, and (b) show that \binom{7}{0}-\binom{7}{1}+\binom{7}{2}-\binom{7}{3}+\binom{7}{4}-\binom{7}{5}+\binom{7}{6}-\binom{7}{7} = 0.
Answer. \binom{10}{7} = 120; the alternating sum equals 0 by the Binomial Theorem with b = -1.
Origins · 1 minBlaise Pascal and how this was discovered
Although the triangle of binomial coefficients had been studied by earlier mathematicians in China, India, and Persia, Blaise Pascal gave the first comprehensive Western treatment in his 1653 work Traité du triangle arithmétique. He used the triangle to derive properties of combinations and to develop early ideas in probability theory, including solutions to the 'Problem of Points' with Fermat. Pascal built one of the world's first mechanical calculators, the Pascaline, at age 18 to help his father with tax computations. He also founded the first public bus service in Paris, though he died at only 39.
Related Concepts
- The Binomial Theorem — Binomial coefficient properties arise directly from the Binomial Theorem — identities like the sum rule and alternating sum are proved by substituting specific values into the expansion (a+b)^n.
- Pascal's Triangle — Pascal's Triangle is the visual arrangement of all binomial coefficients, and Pascal's Identity is the rule that generates each new row from the previous one.
- Combinations and Permutations — The formula \binom{n}{k} = \frac{n!}{k!(n-k)!} is derived from counting combinations, making combinatorics the foundational language for understanding binomial coefficients.
- Binomial Distribution — In probability, binomial coefficients determine the probabilities in the binomial distribution: P(X=k) = \binom{n}{k}p^k(1-p)^{n-k}. The sum identity confirms all probabilities sum to 1.