Binomial coefficient


In mathematics, the binomial coefficients are the positive integers that occur as coefficients in the binomial theorem. Commonly, a binomial coefficient is indexed by a pair of integers and is written It is the coefficient of the term in the polynomial expansion of the binomial power, and it is given by the formula
For example, the fourth power of is
and the binomial coefficient is the coefficient of the term.
Arranging the numbers in successive rows for gives a triangular array called Pascal's triangle, satisfying the recurrence relation
The binomial coefficients occur in many areas of mathematics, and especially in combinatorics. The symbol is usually read as " choose " because there are ways to choose an subset of elements from a fixed set of elements. For example, there are ways to choose 2 elements from namely and
The binomial coefficients can be generalized to for any complex number and integer, and many of their properties continue to hold in this more general form.

History and notation

introduced the notation in 1826, although the numbers were known centuries earlier. The earliest known detailed discussion of binomial coefficients is in a tenth-century commentary, by Halayudha, on an ancient Sanskrit text, Pingala's Chandaḥśāstra. In about 1150, the Indian mathematician Bhaskaracharya gave an exposition of binomial coefficients in his book Līlāvatī.
Alternative notations include,,,,, and in all of which the stands for combinations or choices. Many calculators use variants of the because they can represent it on a single-line display. In this form the binomial coefficients are easily compared to -permutations of, written as, etc.

Definition and interpretations

For natural numbers n and k, the binomial coefficient can be defined as the coefficient of the monomial Xk in the expansion of. The same coefficient also occurs in the binomial formula
,
which explains the name "binomial coefficient".
Another occurrence of this number is in combinatorics, where it gives the number of ways, disregarding order, that k objects can be chosen from among n objects; more formally, the number of k-element subsets of an n-element set. This number can be seen as equal to the one of the first definition, independently of any of the formulas below to compute it: if in each of the n factors of the power one temporarily labels the term X with an index i, then each subset of k indices gives after expansion a contribution Xk, and the coefficient of that monomial in the result will be the number of such subsets. This shows in particular that is a natural number for any natural numbers n and k. There are many other combinatorial interpretations of binomial coefficients, for instance the number of words formed of n bits whose sum is k is given by, while the number of ways to write where every ai is a nonnegative integer is given by. Most of these interpretations are easily seen to be equivalent to counting k-combinations.

Computing the value of binomial coefficients

Several methods exist to compute the value of without actually expanding a binomial power or counting k-combinations.

Recursive formula

One method uses the recursive, purely additive formula
with initial/boundary values
The formula follows from considering the set and counting separately the k-element groupings that include a particular set element, say "i", in every group and all the k-groupings that don't include "i"; this enumerates all the possible k-combinations of n elements. It also follows from tracing the contributions to Xk in. As there is zero Xn+1 or X−1 in, one might extend the definition beyond the above boundaries to include = 0 when either k > n or k < 0. This recursive formula then allows the construction of Pascal's triangle, surrounded by white spaces where the zeros, or the trivial coefficients, would be.

Multiplicative formula

A more efficient method to compute individual binomial coefficients is given by the formula
where the numerator of the first fraction is expressed as a falling factorial power.
This formula is easiest to understand for the combinatorial interpretation of binomial coefficients.
The numerator gives the number of ways to select a sequence of k distinct objects, retaining the order of selection, from a set of n objects. The denominator counts the number of distinct sequences that define the same k-combination when order is disregarded.
Due to the symmetry of the binomial coefficient with regard to k and n−k, calculation may be optimised by setting the upper limit of the product above to the smaller of k and n−k.

Factorial formula

Finally, though computationally unsuitable, there is the compact form, often used in proofs and derivations, which makes repeated use of the familiar factorial function:
where n! denotes the factorial of n. This formula follows from the multiplicative formula above by multiplying numerator and denominator by ; as a consequence it involves many factors common to numerator and denominator. It is less practical for explicit computation unless common factors are first cancelled. The formula does exhibit a symmetry that is less evident from the multiplicative formula
which leads to a more efficient multiplicative computational routine. Using the falling factorial notation,

Generalization and connection to the binomial series

The multiplicative formula allows the definition of binomial coefficients to be extended by replacing n by an arbitrary number α or even an element of any commutative ring in which all positive integers are invertible:
With this definition one has a generalization of the binomial formula, which justifies still calling the binomial coefficients:
This formula is valid for all complex numbers α and X with |X| < 1. It can also be interpreted as an identity of formal power series in X, where it actually can serve as definition of arbitrary powers of power series with constant coefficient equal to 1; the point is that with this definition all identities hold that one expects for exponentiation, notably
If α is a nonnegative integer n, then all terms with k > n are zero, and the infinite series becomes a finite sum, thereby recovering the binomial formula. However, for other values of α, including negative integers and rational numbers, the series is really infinite.

Pascal's triangle

is the important recurrence relation
which can be used to prove by mathematical induction that is a natural number for all n and k, a fact that is not immediately obvious from formula.
Pascal's rule also gives rise to Pascal's triangle:
Row number contains the numbers for. It is constructed by first placing 1s in the outermost positions, and then filling each inner position with the sum of the two numbers directly above. This method allows the quick calculation of binomial coefficients without the need for fractions or multiplications. For instance, by looking at row number 5 of the triangle, one can quickly read off that

Combinatorics and statistics

Binomial coefficients are of importance in combinatorics, because they provide ready formulas for certain frequent counting problems:
For any nonnegative integer k, the expression can be simplified and defined as a polynomial divided by k!:
this presents a polynomial in t with rational coefficients.
As such, it can be evaluated at any real or complex number t to define binomial coefficients with such first arguments.
These "generalized binomial coefficients" appear in Newton's generalized binomial theorem.
For each k, the polynomial can be characterized as the unique degree k polynomial p satisfying p = p =... = p = 0 and p = 1.
Its coefficients are expressible in terms of Stirling numbers of the first kind:
The derivative of can be calculated by logarithmic differentiation:

Binomial coefficients as a basis for the space of polynomials

Over any field of characteristic 0, each polynomial p of degree at most d is uniquely expressible as a linear combination of binomial coefficients. The coefficient ak is the kth difference of the sequence p, p,..., p.
Explicitly,

Integer-valued polynomials

Each polynomial is integer-valued: it has an integer value at all integer inputs.
Therefore, any integer linear combination of binomial coefficient polynomials is integer-valued too.
Conversely, shows that any integer-valued polynomial is an integer linear combination of these binomial coefficient polynomials.
More generally, for any subring R of a characteristic 0 field K, a polynomial in K takes values in R at all integers if and only if it is an R-linear combination of binomial coefficient polynomials.

Example

The integer-valued polynomial 3t/2 can be rewritten as

Identities involving binomial coefficients

The factorial formula facilitates relating nearby binomial coefficients. For instance, if k is a positive integer and n is arbitrary, then
and, with a little more work,
Moreover, the following may be useful:
For constant n, we have the following recurrence:

Sums of the binomial coefficients

The formula
says the elements in the nth row of Pascal's triangle always add up to 2 raised to the nth power. This is obtained from the binomial theorem by setting x = 1 and y = 1. The formula also has a natural combinatorial interpretation: the left side sums the number of subsets of of sizes k = 0, 1,..., n, giving the total number of subsets. However, these subsets can also be generated by successively choosing or excluding each element 1,..., n; the n independent binary choices allow a total of choices. The left and right sides are two ways to count the same collection of subsets, so they are equal.
The formulas
and
follow from after differentiating with respect to x and then substituting x = 1.
The Chu–Vandermonde identity, which holds for any complex-values m and n and any non-negative integer k, is
and can be found by examination of the coefficient of in the expansion of using equation. When, equation reduces to equation. In the special case, using, the expansion becomes
where the term on the right side is a central binomial coefficient.
Another form of the Chu–Vandermonde identity, which applies for any integers j, k, and n satisfying, is
The proof is similar, but uses the binomial series expansion with negative integer exponents.
When, equation gives the hockey-stick identity
and its relative
Let F denote the n-th Fibonacci number.
Then
This can be proved by induction using or by Zeckendorf's representation. A combinatorial proof is given below.

Multisections of sums

For integers s and t such that series multisection gives the following identity for the sum of binomial coefficients:
For small s, these series have particularly nice forms; for example,

Partial sums

Although there is no closed formula for partial sums
of binomial coefficients, one can again use and induction to show that for k = 0,..., n − 1,
with special case
for n > 0. This latter result is also a special case of the result from the theory of finite differences that for any polynomial P of degree less than n,
Differentiating k times and setting x = −1 yields this for
when 0 ≤ k < n,
and the general case follows by taking linear combinations of these.
When P is of degree less than or equal to n,
where is the coefficient of degree n in P.
More generally for,
where m and d are complex numbers. This follows immediately applying to the polynomial instead of, and observing that still has degree less than or equal to n, and that its coefficient of degree n is dnan.
The series
is convergent for k ≥ 2. This formula is used in the analysis of the German tank problem. It follows from
which is proved by induction on M.

Identities with combinatorial proofs

Many identities involving binomial coefficients can be proved by combinatorial means. For example, for nonnegative integers, the identity
can be given a double counting proof, as follows. The left side counts the number of ways of selecting a subset of = with at least q elements, and marking q elements among those selected. The right side counts the same thing, because there are ways of choosing a set of q elements to mark, and to choose which of the remaining elements of also belong to the subset.
In Pascal's identity
both sides count the number of k-element subsets of : the two terms on the right side group them into those that contain element n and those that do not.
The identity also has a combinatorial proof. The identity reads
Suppose you have empty squares arranged in a row and you want to mark n of them. There are ways to do this. On the other hand, you may select your n squares by selecting k squares from among the first n and squares from the remaining n squares; any k from 0 to n will work. This gives
Now apply to get the result.
If one denotes by the sequence of Fibonacci numbers, indexed so that, then the identity
has the following combinatorial proof. One may show by induction that counts the number of ways that a strip of squares may be covered by and tiles. On the other hand, if such a tiling uses exactly of the tiles, then it uses of the tiles, and so uses tiles total. There are ways to order these tiles, and so summing this coefficient over all possible values of gives the identity.

Sum of coefficients row

The number of k-combinations for all k,, is the sum of the nth row of the binomial coefficients. These combinations are enumerated by the 1 digits of the set of base 2 numbers counting from 0 to, where each digit position is an item from the set of n.

Dixon's identity

is
or, more generally,
where a, b, and c are non-negative integers.

Continuous identities

Certain trigonometric integrals have values expressible in terms of
binomial coefficients: For any
These can be proved by using Euler's formula to convert trigonometric functions to complex exponentials, expanding using the binomial theorem, and integrating term by term.

Generating functions

Ordinary generating functions

For a fixed, the ordinary generating function of the sequence is
For a fixed, the ordinary generating function of the sequence is
The bivariate generating function of the binomial coefficients is
Another, symmetric, bivariate generating function of the binomial coefficients is

Exponential generating function

A symmetric exponential bivariate generating function of the binomial coefficients is:

Divisibility properties

In 1852, Kummer proved that if m and n are nonnegative integers and p is a prime number, then the largest power of p dividing equals pc, where c is the number of carries when m and n are added in base p.
Equivalently, the exponent of a prime p in
equals the number of nonnegative integers j such that the fractional part of k/pj is greater than the fractional part of n/pj. It can be deduced from this that is divisible by n/gcd. In particular therefore it follows that p divides for all positive integers r and s such that. However this is not true of higher powers of p: for example 9 does not divide.
A somewhat surprising result by David Singmaster is that any integer divides almost all binomial coefficients. More precisely, fix an integer d and let f denote the number of binomial coefficients with n < N such that d divides. Then
Since the number of binomial coefficients with n < N is N / 2, this implies that the density of binomial coefficients divisible by d goes to 1.
Binomial coefficients have divisibility properties related to least common multiples of consecutive integers. For example:
divides.
is a multiple of.
Another fact:
An integer is prime if and only if
all the intermediate binomial coefficients
are divisible by n.
Proof:
When p is prime, p divides
because is a natural number and p divides the numerator but not the denominator.
When n is composite, let p be the smallest prime factor of n and let. Then and
otherwise the numerator has to be divisible by, this can only be the case when is divisible by p. But n is divisible by p, so p does not divide and because p is prime, we know that p does not divide and so the numerator cannot be divisible by n.

Bounds and asymptotic formulas

The following bounds for hold for all values of n and k such that 1 ≤ k ≤ n:
The first inequality follows from the fact that
and each of these terms in this product is. A similar argument can be made to show the second inequality. The final strict inequality is equivalent to, that is clear since the RHS is a term of the exponential series.
From the divisibility properties we can infer that
where both equalities can be achieved.

Both and large

yields the following approximation, valid when both tend to infinity:
Because the inequality forms of Stirling's formula also bound the factorials, slight variants on the above asymptotic approximation give exact bounds.
In particular, when is sufficiently large:
and, in general, for m ≥ 2 and n ≥ 1,
Another useful asymptotic approximation for when both numbers grow at the same rate is
where is the binary entropy function.
If n is large and k is linear in n, various precise asymptotic estimates exist for the binomial coefficient. For example, if then
where d = n − 2k.

much larger than

If is large and is , then
where again is the little o notation.

Sums of binomial coefficients

A simple and rough upper bound for the sum of binomial coefficients can be obtained using the binomial theorem:
More precise bounds are given by
which is valid by for all integers with.

Generalized binomial coefficients

The infinite product formula for the Gamma function also gives an expression for binomial coefficients
which yields the asymptotic formulas
as.
This asymptotic behaviour is contained in the approximation
as well.
Further, the asymptotic formula
hold true, whenever and for some complex number.

Generalizations

Generalization to multinomials

Binomial coefficients can be generalized to multinomial coefficients defined to be the number:
where
While the binomial coefficients represent the coefficients of n, the multinomial coefficients
represent the coefficients of the polynomial
The case r = 2 gives binomial coefficients:
The combinatorial interpretation of multinomial coefficients is distribution of n distinguishable elements over r containers, each containing exactly ki elements, where i is the index of the container.
Multinomial coefficients have many properties similar to those of binomial coefficients, for example the recurrence relation:
and symmetry:
where is a permutation of.

Taylor series

Using Stirling numbers of the first kind the series expansion around any arbitrarily chosen point is

Binomial coefficient with ''n'' = 1/2

The definition of the binomial coefficients can be extended to the case where is real and is integer.
In particular, the following identity holds for any non-negative integer :
This shows up when expanding into a power series using the Newton binomial series :

Identity for the product of binomial coefficients

One can express the product of binomial coefficients as a linear combination of binomial coefficients:
where the connection coefficients are multinomial coefficients. In terms of labelled combinatorial objects, the connection coefficients represent the number of ways to assign m + n − k labels to a pair of labelled combinatorial objects—of weight m and n respectively—that have had their first k labels identified, or glued together to get a new labelled combinatorial object of weight m + n − k. In this regard, binomial coefficients are to exponential generating series what falling factorials are to ordinary generating series.

Partial fraction decomposition

The partial fraction decomposition of the reciprocal is given by

Newton's binomial series

Newton's binomial series, named after Sir Isaac Newton, is a generalization of the binomial theorem to infinite series:
The identity can be obtained by showing that both sides satisfy the differential equation f' = α f.
The radius of convergence of this series is 1. An alternative expression is
where the identity
is applied.

Multiset (rising) binomial coefficient

Binomial coefficients count subsets of prescribed size from a given set. A related combinatorial problem is to count multisets of prescribed size with elements drawn from a given set, that is, to count the number of ways to select a certain number of elements from a given set with the possibility of selecting the same element repeatedly. The resulting numbers are called multiset coefficients; the number of ways to "multichoose" k items from an n element set is denoted.
To avoid ambiguity and confusion with n's main denotation in this article,
let f = n = r + and r = f –.
Multiset coefficients may be expressed in terms of binomial coefficients by the rule
One possible alternative characterization of this identity is as follows:
We may define the falling factorial as
and the corresponding rising factorial as
so, for example,
Then the binomial coefficients may be written as
while the corresponding multiset coefficient is defined by replacing the falling with the rising factorial:

Generalization to negative integers

For any n,
In particular, binomial coefficients evaluated at negative integers are given by signed multiset coefficients. In the special case, this reduces to
For example, if n = -4 and k = 7, then r = 4 and f = 10:

Two real or complex valued arguments

The binomial coefficient is generalized to two real or complex valued arguments using the gamma function or beta function via
This definition inherits these following additional properties from :
moreover,
The resulting function has been little-studied, apparently first being graphed in. Notably, many binomial identities fail: but for n positive. The behavior is quite complex, and markedly different in various octants, with the behavior for negative x having singularities at negative integer values and a checkerboard of positive and negative regions:
The binomial coefficient has a q-analog generalization known as the Gaussian binomial coefficient.

Generalization to infinite cardinals

The definition of the binomial coefficient can be generalized to infinite cardinals by defining:
where A is some set with cardinality. One can show that the generalized binomial coefficient is well-defined, in the sense that no matter what set we choose to represent the cardinal number, will remain the same. For finite cardinals, this definition coincides with the standard definition of the binomial coefficient.
Assuming the Axiom of Choice, one can show that for any infinite cardinal.

Binomial coefficient in programming languages

The notation is convenient in handwriting but inconvenient for typewriters and computer terminals. Many programming languages do not offer a standard subroutine for computing the binomial coefficient, but for example both the APL programming language and the J programming language use the exclamation mark: k ! n.
Naive implementations of the factorial formula, such as the following snippet in Python:

from math import factorial
def binomial_coefficient -> int:
return factorial // * factorial)

are very slow and are useless for calculating factorials of very high numbers. A direct implementation of the multiplicative formula works well:

def binomial_coefficient -> int:
if k < 0 or k > n:
return 0
if k 0 or k n:
return 1
k = min # Take advantage of symmetry
c = 1
for i in range:
c = c * /
return c

Pascal's rule provides a recursive definition which can also be implemented in Python, although it is less efficient:

def binomial_coefficient -> int:
if k < 0 or k > n:
return 0
if k > n - k: # Take advantage of symmetry
k = n - k
if k 0 or n <= 1:
return 1
return binomial_coefficient + binomial_coefficient

The example mentioned above can be also written in functional style. The following Scheme example uses the recursive definition
Rational arithmetic can be easily avoided using integer division
The following implementation uses all these ideas

;; Helper function to compute C via forward recursion


prev
))))
;; Use symmetry property C=C

))

When computing in a language with fixed-length integers, the multiplication by may overflow even when the result would fit. The overflow can be avoided by dividing first and fixing the result using the remainder:
Implementation in the C language:

  1. include
unsigned long binomial

Another way to compute the binomial coefficient when using large numbers is to recognize that
where   denotes the natural logarithm of the gamma function at. It is a special function that is easily computed and is standard in some programming languages such as using log_gamma in Maxima, LogGamma in Mathematica, gammaln in MATLAB and Python's SciPy module, lngamma in PARI/GP or lgamma in C, R, and Julia. Roundoff error may cause the returned value to not be an integer.