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n  n! 

0  1 
1  1 
2  2 
3  6 
4  24 
5  120 
6  720 
7  5040 
8  40320 
9  362880 
10  3628800 
11  39916800 
12  479001600 
13  6227020800 
14  87178291200 
15  1307674368000 
16  20922789888000 
17  355687428096000 
18  6402373705728000 
19  121645100408832000 
20  2432902008176640000 
25  1.5511210043×10^{25} 
50  3.0414093202×10^{64} 
70  1.1978571670×10^{100} 
100  9.3326215444×10^{157} 
450  1.7333687331×10^{1000} 
1000  4.0238726008×10^{2567} 
3249  6.4123376883×10^{10000} 
10000  2.8462596809×10^{35659} 
25206  1.2057034382×10^{100000} 
100000  2.8242294080×10^{456573} 
205023  2.5038989317×10^{1000004} 
1000000  8.2639316883×10^{5565708} 
1723508  5.2900703070×10^{10000001} 
2000000  3.7768210576×10^{11733474} 
10000000  1.2024234005×10^{65657059} 
14842907  2.7886629747×10^{100000000} 
10^{100}  10^{9.9565705518×10101} 
In mathematics, the factorial of a nonnegative integer n, denoted by n!, is the product of all positive integers less than or equal to n. For example,
The value of 0! is 1, according to the convention for an empty product.^{[1]}
The factorial operation is encountered in many areas of mathematics, notably in combinatorics, algebra, and mathematical analysis. Its most basic occurrence is the fact that there are n! ways to arrange n distinct objects into a sequence (i.e., permutations of the set of objects). This fact was known at least as early as the 12th century, to Indian scholars.^{[2]} The notation n! was introduced by Christian Kramp in 1808.^{[3]}
The definition of the factorial function can also be extended to noninteger arguments, while retaining its most important properties; this involves more advanced mathematics, notably techniques from mathematical analysis.
The factorial function is formally defined by the product
or by the recurrence relation
The factorial function can also be defined by using the power rule as
All of the above definitions incorporate the instance
in the first case by the convention that the product of no numbers at all is 1. This is convenient because:
The factorial function can also be defined for noninteger values using more advanced mathematics, detailed in the section below. This more generalized definition is used by advanced calculators and mathematical software such as Maple or Mathematica.
This section does not cite any references or sources. (May 2013) 
Although the factorial function has its roots in combinatorics, formulas involving factorials occur in many areas of mathematics.
This section does not cite any references or sources. (May 2013) 
Factorials have many applications in number theory. In particular, n! is necessarily divisible by all prime numbers up to and including n. As a consequence, n > 5 is a composite number if and only if
A stronger result is Wilson's theorem, which states that
if and only if p is prime.
AdrienMarie Legendre found that the multiplicity of the prime p occurring in the prime factorization of n! can be expressed exactly as
This fact is based on counting the number of factors p of the integers from 1 to n. The number of multiples of p in the numbers 1 to n are given by ; however, this formula counts those numbers with two factors of p only once. Hence another factors of p must be counted too. Similarly for three, four, five factors, to infinity. The sum is finite since p^{ i} can only be less than or equal to n for finitely many values of i, and the floor function results in 0 when applied for p^{ i} > n.
The only factorial that is also a prime number is 2, but there are many primes of the form n! ± 1, called factorial primes.
All factorials greater than 1! are even, as they are all multiples of 2. Also, all factorials from 5! upwards are multiples of 10 (and hence have a trailing zero as their final digit), because they are multiples of 5 and 2.
The reciprocals of factorials produce a convergent series: (see e)
Although the sum of this series is an irrational number, it is possible to multiply the factorials by positive integers to produce a convergent series with a rational sum:
The convergence of this series to 1 can be seen from the fact that its partial sums are less than one by an inverse factorial. Therefore, the factorials do not form an irrationality sequence.^{[5]}
As n grows, the factorial n! increases faster than all polynomials and exponential functions (but slower than double exponential functions) in n.
Most approximations for n! are based on approximating its natural logarithm
The graph of the function f(n) = log n! is shown in the figure on the right. It looks approximately linear for all reasonable values of n, but this intuition is false. We get one of the simplest approximations for log n! by bounding the sum with an integral from above and below as follows:
which gives us the estimate
Hence log n! is Θ(n log n) (see Big O notation). This result plays a key role in the analysis of the computational complexity of sorting algorithms (see comparison sort). From the bounds on log n! deduced above we get that
It is sometimes practical to use weaker but simpler estimates. Using the above formula it is easily shown that for all n we have , and for all n ≥ 6 we have .
For large n we get a better estimate for the number n! using Stirling's approximation:
In fact, it can be proved that for all n we have
Another approximation for log n! is given by Srinivasa Ramanujan (Ramanujan 1988)
Thus it is even smaller than the next correction term of Stirling's formula.
If efficiency is not a concern, computing factorials is trivial from an algorithmic point of view: successively multiplying a variable initialized to 1 by the integers 2 up to n (if any) will compute n!, provided the result fits in the variable. In functional languages, the recursive definition is often implemented directly to illustrate recursive functions.
The main practical difficulty in computing factorials is the size of the result. To assure that the exact result will fit for all legal values of even the smallest commonly used integral type (8bit signed integers) would require more than 700 bits, so no reasonable specification of a factorial function using fixedsize types can avoid questions of overflow. The values 12! and 20! are the largest factorials that can be stored in, respectively, the 32bit and 64bit integers commonly used in personal computers. Floatingpoint representation of an approximated result allows going a bit further, but this also remains quite limited by possible overflow. Most calculators use scientific notation with 2digit decimal exponents, and the largest factorial that fits is then 69!, because 69! < 10^{100} < 70!. Calculators that use 3digit exponents can compute larger factorials, up to, for example, 253! ≈ 5.2×10^{499} on HP calculators and 449! ≈ 3.9×10^{997} on the TI86. The calculator seen in Mac OS X, Microsoft Excel and Google Calculator, as well as the freeware Fox Calculator, can handle factorials up to 170!, which is the largest factorial whose floatingpoint approximation can be represented as a 64bit IEEE 754 floatingpoint value. The scientific calculator in Windows 7 and Windows 8 is able to calculate factorials up to 3248!.
Most software applications will compute small factorials by direct multiplication or table lookup. Larger factorial values can be approximated using Stirling's formula. Wolfram Alpha can calculate exact results for the ceiling function and floor function applied to the binary, natural and common logarithm of n! for values of n up to 249999, and up to 20,000,000! for the integers.
If the exact values of large factorials are needed, they can be computed using arbitraryprecision arithmetic. Instead of doing the sequential multiplications , a program can partition the sequence into two parts, whose products are roughly the same size, and multiply them using a divideandconquer method. This is often more efficient.^{[6]}
The asymptotically best efficiency is obtained by computing n! from its prime factorization. As documented by Peter Borwein, prime factorization allows n! to be computed in time O(n(log n log log n)^{2}), provided that a fast multiplication algorithm is used (for example, the Schönhage–Strassen algorithm).^{[7]} Peter Luschny presents source code and benchmarks for several efficient factorial algorithms, with or without the use of a prime sieve.^{[8]}
Besides nonnegative integers, the factorial function can also be defined for noninteger values, but this requires more advanced tools from mathematical analysis. One function that "fills in" the values of the factorial (but with a shift of 1 in the argument) is called the Gamma function, denoted Γ(z), defined for all complex numbers z except the nonpositive integers, and given when the real part of z is positive by
Its relation to the factorials is that for any natural number n
Euler's original formula for the Gamma function was
An alternative notation, originally introduced by Gauss, is sometimes used. The Pi function, denoted Π(z) for real numbers z no less than 0, is defined by
In terms of the Gamma function it is
It truly extends the factorial in that
In addition to this, the Pi function satisfies the same recurrence as factorials do, but at every complex value z where it is defined
In fact, this is no longer a recurrence relation but a functional equation. Expressed in terms of the Gamma function this functional equation takes the form
Since the factorial is extended by the Pi function, for every complex value z where it is defined, we can write:
The values of these functions at halfinteger values is therefore determined by a single one of them; one has
from which it follows that for n ∈ N,
For example,
It also follows that for n ∈ N,
For example,
The Pi function is certainly not the only way to extend factorials to a function defined at almost all complex values, and not even the only one that is analytic wherever it is defined. Nonetheless it is usually considered the most natural way to extend the values of the factorials to a complex function. For instance, the Bohr–Mollerup theorem states that the Gamma function is the only function that takes the value 1 at 1, satisfies the functional equation Γ(n + 1) = nΓ(n), is meromorphic on the complex numbers, and is logconvex on the positive real axis. A similar statement holds for the Pi function as well, using the Π(n) = nΠ(n − 1) functional equation.
However, there exist complex functions that are probably simpler in the sense of analytic function theory and which interpolate the factorial values. For example, Hadamard's 'Gamma'function (Hadamard 1894) which, unlike the Gamma function, is an entire function.^{[9]}
Euler also developed a convergent product approximation for the noninteger factorials, which can be seen to be equivalent to the formula for the Gamma function above:
However, this formula does not provide a practical means of computing the Pi or Gamma function, as its rate of convergence is slow.
The volume of an ndimensional hypersphere of radius R is
Representation through the Gammafunction allows evaluation of factorial of complex argument. Equilines of amplitude and phase of factorial are shown in figure. Let . Several levels of constant modulus (amplitude) and constant phase are shown. The grid covers range , with unit step. The scratched line shows the level .
Thin lines show intermediate levels of constant modulus and constant phase. At poles , phase and amplitude are not defined. Equilines are dense in vicinity of singularities along negative integer values of the argument.
For , the Taylor expansions can be used:
The first coefficients of this expansion are
approximation  

0  
1  
2  
3 
where is the Euler constant and is the Riemann zeta function. Computer algebra systems such as Sage (mathematics software) can generate many terms of this expansion.
For the large values of the argument, factorial can be approximated through the integral of the digamma function, using the continued fraction representation. This approach is due to T. J. Stieltjes (1894). Writing z! = exp(P(z)) where P(z) is
Stieltjes gave a continued fraction for p(z)
The first few coefficients a_{n} are^{[10]}
n  a_{n} 

0  1 / 12 
1  1 / 30 
2  53 / 210 
3  195 / 371 
4  22999 / 22737 
5  29944523 / 19733142 
6  109535241009 / 48264275462 
There is common misconception, that or for any complex z ≠ 0. Indeed, the relation through the logarithm is valid only for specific range of values of z in vicinity of the real axis, while . The larger is the real part of the argument, the smaller should be the imaginary part. However, the inverse relation, z! = exp(P(z)), is valid for the whole complex plane apart from zero. The convergence is poor in vicinity of the negative part of the real axis. (It is difficult to have good convergence of any approximation in vicinity of the singularities). While or , the 6 coefficients above are sufficient for the evaluation of the factorial with the complex<double> precision. For higher precision more coefficients can be computed by a rational QDscheme (H. Rutishauser's QD algorithm).^{[11]}
The relation n! = n × (n − 1)! allows one to compute the factorial for an integer given the factorial for a smaller integer. The relation can be inverted so that one can compute the factorial for an integer given the factorial for a larger integer:
Note, however, that this recursion does not permit us to compute the factorial of a negative integer; use of the formula to compute (−1)! would require a division by zero, and thus blocks us from computing a factorial value for every negative integer. (Similarly, the Gamma function is not defined for nonpositive integers, though it is defined for all other complex numbers.)
There are several other integer sequences similar to the factorial that are used in mathematics:
The primorial (sequence A002110 in OEIS) is similar to the factorial, but with the product taken only over the prime numbers.
The product of all the odd integers up to some odd positive integer n is called the double factorial of n, and denoted by n!!.^{[12]} That is,
For example, 9!! = 1 × 3 × 5 × 7 × 9 = 945.
The sequence of double factorials for n = 1, 3, 5, 7, ... starts as
Double factorial notation may be used to simplify the expression of certain trigonometric integrals,^{[13]} to provide an expression for the values of the Gamma function at halfinteger arguments and the volume of hyperspheres,^{[14]} and to solve many counting problems in combinatorics including counting binary trees with labeled leaves and perfect matchings in complete graphs.^{[12]}^{[15]}
A common related notation is to use multiple exclamation points to denote a multifactorial, the product of integers in steps of two (), three (), or more. The double factorial is the most commonly used variant, but one can similarly define the triple factorial () and so on. One can define the kth factorial, denoted by , recursively for nonnegative integers as
though see the alternative definition below.
Some mathematicians have suggested an alternative notation of for the double factorial and similarly for other multifactorials, but this has not come into general use.
The factorial operation is encountered in many different areas of mathematics, notably in combinatorics, algebra and mathematical analysis. Its most basic occurrence is the fact that there are n! ways to arrange n distinct objects into a sequence (i.e., permutations of the set of objects). This fact was known to Indian scholars at least as early as the 12th century.
In the same way that is not defined for negative integers, and is not defined for negative even integers, is not defined for negative integers divisible by .
Alternatively, the multifactorial z!^{(k)} can be extended to most real and complex numbers z by noting that when z is one more than a positive multiple of k then
This last expression is defined much more broadly than the original; with this definition, z!^{(k)} is defined for all complex numbers except the negative real numbers evenly divisible by k. This definition is consistent with the earlier definition only for those integers z satisfying z ≡ 1 mod k.
In addition to extending z!^{(k)} to most complex numbers z, this definition has the feature of working for all positive real values of k. Furthermore, when k = 1, this definition is mathematically equivalent to the Π(z) function, described above. Also, when k = 2, this definition is mathematically equivalent to the alternative extension of the double factorial.
This section needs additional citations for verification. (September 2013) 
The quadruple factorial is not the multifactorial n!^{(4)}; it is a much larger number given by (2n)!/n!, starting as
It is also equal to
Neil Sloane and Simon Plouffe defined a superfactorial in The Encyclopedia of Integer Sequences (Academic Press, 1995) to be the product of the first factorials. So the superfactorial of 4 is
In general
Equivalently, the superfactorial is given by the formula
which is the determinant of a Vandermonde matrix.
The sequence of superfactorials starts (from ) as
Clifford Pickover in his 1995 book Keys to Infinity used a new notation, n$, to define the superfactorial
or as,
where the ^{(4)} notation denotes the hyper4 operator, or using Knuth's uparrow notation,
This sequence of superfactorials starts:
Here, as is usual for compound exponentiation, the grouping is understood to be from right to left:
Occasionally the hyperfactorial of n is considered. It is written as H(n) and defined by
For n = 1, 2, 3, 4, ... the values H(n) are 1, 4, 108, 27648,... (sequence A002109 in OEIS).
The asymptotic growth rate is
where A = 1.2824... is the Glaisher–Kinkelin constant.^{[16]} H(14) = 1.8474...×10^{99} is already almost equal to a googol, and H(15) = 8.0896...×10^{116} is almost of the same magnitude as the Shannon number, the theoretical number of possible chess games. Compared to the Pickover definition of the superfactorial, the hyperfactorial grows relatively slowly.
The hyperfactorial function can be generalized to complex numbers in a similar way as the factorial function. The resulting function is called the Kfunction.
