Symmetry Rule for Binomial Coefficients
Theorem
Let $n \in \Z_{>0}, k \in \Z$.
Then:
- $\dbinom n k = \dbinom n {n - k}$
where $\dbinom n k$ is a binomial coefficient.
Complex Numbers
For all $z, w \in \C$ such that it is not the case that $z$ is a negative integer and $w$ an integer:
- $\dbinom z w = \dbinom z {z - w}$
Proof 1
Follows directly from the definition of binomial coefficient, as follows.
If $k < 0$ then $n - k > n$.
Similarly, if $k > n$, then $n - k < 0$.
In both cases:
- $\dbinom n k = \dbinom n {n - k} = 0$
Let $0 \le k \le n$.
\(\ds \binom n k\) | \(=\) | \(\ds \frac {n!} {k! \paren {n - k}!}\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds \frac {n!} {\paren {n - k}! k!}\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds \frac {n!} {\paren {n - k}! \paren {n - \paren {n - k} } !}\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds \binom n {n - k}\) |
$\blacksquare$
Proof 2
From the definition of Cardinality of Set of Subsets, $\dbinom n k$ is the number of subsets of cardinality $k$ of a set with cardinality $n$.
Let $S$ be a set with cardinality $n$.
Let $\powerset S$ denote the power set of $S$.
Let $\AA_k \subseteq \powerset S$ be the set of elements of $\powerset S$ which have cardinality $k$.
For every $T \in \AA_k$ there exists its relative complement:
- $\relcomp S T \in \AA_{n - k}$
Define the mapping $f_k: \AA_k \to \AA_{n - k}$ as:
- $\forall T \in \AA_k: \map f T = \relcomp S T$
From Relative Complement Mapping on Powerset is Bijection it follows that $f_k$ is a bijection.
By definition of set equivalence, that means:
- $\card {A_k} = \card {A_{n - k} }$
That is, from the definition of Cardinality of Set of Subsets:
- $\dbinom n k = \dbinom n {n - k}$
$\blacksquare$
Informal Proof
If we choose $k$ objects from $n$, then we leave $n - k$ objects.
Hence for every choice of $k$, we are also making the same choice of $n - k$.
Hence the number of choices of $k$ objects is the same as the number of choices of $n - k$ objects.
Hence the result.
$\blacksquare$
Examples
$11$ choose $8$
Consider the binomial coefficient $\dbinom {11} 8$.
This can be calculated as:
- $\dbinom {11} 8 = \dfrac {11 \times 10 \times 9 \times 8 \times 7 \times 6 \times 5 \times 4} {8 \times 7 \times 6 \times 5 \times 4 \times 3 \times 2 \times 1}$
which is unwieldy.
Or we can use the Symmetry Rule for Binomial Coefficients, and say:
- $\dbinom {11} 8 = \dbinom {11} {11 - 8} = \dbinom {11} 3$
and calculate it as:
- $\dbinom {11} 3 = \dfrac {11 \times 10 \times 9} {3 \times 2 \times 1} = \dfrac {990} 6 = 165$
which is far less trouble.
$7$ from $10$
The number of ways of choosing:
is the same as the number of ways of choosing:
Hence:
- $\dbinom {10} 7 = \dbinom {10} 3 = \dfrac {10 \times 9 \times 8} {3 \times 2 \times 1} = \dfrac {720} 6 = 120$
$8$ choose $6$
Let $N$ be the number of ways a team of $6$ people may be selected from a pool of $8$.
Then:
- $N = 28$
Sources
- 1964: Milton Abramowitz and Irene A. Stegun: Handbook of Mathematical Functions ... (previous) ... (next): $3$: Elementary Analytic Methods: $3.1$ Binomial Theorem etc.: Binomial Coefficients: $3.1.3$: Binomial Coefficients
- 1964: A.M. Yaglom and I.M. Yaglom: Challenging Mathematical Problems With Elementary Solutions: Volume $\text { I }$ ... (previous) ... (next): Problems
- 1965: Seth Warner: Modern Algebra ... (previous) ... (next): Chapter $\text {III}$: The Natural Numbers: $\S 19$: Combinatorial Analysis: Theorem $19.10$
- 1968: Murray R. Spiegel: Mathematical Handbook of Formulas and Tables ... (previous) ... (next): $\S 3$: The Binomial Formula and Binomial Coefficients: Binomial Coefficients: $3.5$
- 1971: George E. Andrews: Number Theory ... (previous) ... (next): $\text {3-1}$ Permutations and Combinations: Exercise $8$
- 1986: David Wells: Curious and Interesting Numbers ... (previous) ... (next): $24$
- 1992: Larry C. Andrews: Special Functions of Mathematics for Engineers (2nd ed.) ... (previous) ... (next): $\S 1.2.4$: Factorials and binomial coefficients: $1.29$
- 2009: Murray R. Spiegel, Seymour Lipschutz and John Liu: Mathematical Handbook of Formulas and Tables (3rd ed.) ... (previous) ... (next): $\S 3$: The Binomial Formula and Binomial Coefficients: Binomial Coefficients: $3.5$