# Lottery Information

## Factorial

In mathematics, the **factorial** of a natural number *n* is the product of all positive integers less than or equal to *n*. This is written as ` n!` and pronounced "

*n*factorial", or colloquially "

*n*shriek" or "

*n*bang". The notation

`was introduced by Christian Kramp in 1808.`

*n*!The sequence of factorials (sequence A000142 in OEIS) for *n* = 0, 1, 2,... starts:

- 1, 1, 2, 6, 24, 120, 720, 5040, 40320, 362880, 3628800, 39916800, 479001600, 6227020800, 87178291200, 1307674368000, 20922789888000, 355687428096000, 6402373705728000, 121645100408832000, 2432902008176640000, ...

This shows how quickly factorial numbers grow. In fact, by the time 70! is reached, a googol has been exceeded. 70! = 1.19785717... × 10^{100}, or to be exact:

11 978 571 669 969 891 796 072 783 721 689 098 736 458 938 142 546 425 857 555 362 864 628 009 582 789 845 319 680 000 000 000 000 000

### Definition

The factorial function is formally defined by

For example,

The above definition incorporates the convention that

as an instance of the convention that the product of no numbers at all is 1. This fact for factorials is useful, because

- the recursive relation (
*n*+ 1)! =× (*n*!*n*+ 1) works for*n*= 0; - this definition makes many identities in combinatorics valid for zero sizes.

### Non-integer factorials

The factorial function can also be defined for non-integer values, but this requires more advanced tools from mathematical analysis. The function that "fills in" the values of the factorial between the integers is called the Gamma function, denoted Γ and for *z* > −1 defined by

The Gamma function is related to factorials in that it satisfies a similar recursive relationship:

Together with Γ(1) = 1 this yields the equation for any nonnegative integer *n*:

Based on the Gamma function's value for 1/2, the specific example of half-integer factorials is resolved to

For example

The Gamma function is in fact defined for all complex numbers *z* except for the nonpositive integers (*z* = 0, −1, −2, −3, ...)
where it goes to infinity. It is often thought of as a generalization
of the factorial function to the complex domain, which is justified for
the following reasons:

- Shared meaning. The canonical definition of the factorial function is the mentioned recursive relationship, shared by both.
- Context. The Gamma function is generally used in a context similar to that of the factorials (but, of course, where a more general domain is of interest).
- Uniqueness (Bohr–Mollerup theorem). The Gamma function is the only function which satisfies the mentioned recursive relationship for the domain of complex numbers and is holomorphic and whose restriction to the positive real axis is log-convex. That is, it is the only function that could possibly be a generalization of the factorial function.

### Applications

- Factorials are important in combinatorics. For example, there are
*n*! different ways of arranging*n*distinct objects in a sequence. (The arrangements are called permutations.) And the number of ways one can choose*k*objects from among a given set of*n*objects (the number of combinations), is given by the so-called binomial coefficient

- Factorials also turn up in calculus. For example, Taylor's theorem expresses a function
*f*(*x*) as a power series in*x*, basically because the*n*-th derivative of*x*^{n}is*n*!.

- The volume of an
*n*-dimensional hypersphere can be expressed as:

Note that the Gamma function is required for odd dimensions and that its value cancels out the apparent fractional power of π in those cases.

- Factorials are also used extensively in probability theory.

- Factorials are often used as a simple example, along with Fibonacci numbers, when teaching recursion in computer science because they satisfy the following recursive relationship (if
*n*≥ 1):

### Number theory

Factorials have many applications in number theory. Factorial numbers are highly abundant numbers. In particular, *n*! is necessarily divisible by all prime numbers up to and including *n*. As a consequence, *n* > 4 is a composite number iff

- .

A stronger result is Wilson's theorem, which states that

iff *n* is prime.

Adrien-Marie Legendre found that the multiplicity of the prime *p* occurring in the prime factorization of *n*! can be expressed exactly as

which is finite since the floor function removes all *p*^{i} > *n*.

The only factorial that is also a prime number is 2, but there are many primes of the form . These are called factorial primes.

### Rate of growth

As *n* grows, the factorial *n*! becomes larger than all polynomials and exponential functions in *n*.

When *n* is large, *n*! can be estimated quite accurately using Stirling's approximation:

A weak version that can be proved with mathematical induction is

The logarithm of the factorial can be used to calculate the number of digits in a given base the factorial of a given number will take. log *n*! can easily be calculated as follows:

Note that this function, if graphed, is approximately linear, for small values; but the factor does grow arbitrarily large, although quite slowly. The graph of log(*n*!) for *n* between 0 and 20,000 is shown in the figure on the right.

A good approximation for log *n*! based on Stirling's approximation is

One can see from this that log(*n*!) is Ο(*n* log *n*). This result plays a key role in the analysis of the computational complexity of sorting algorithms (see comparison sort).

### Computation

The numeric value of *n*! can be calculated by repeated multiplication if *n*
is not too large. That is basically what pocket calculators do. The
largest factorial that most calculators can handle is 69!, because
70! > 10^{100}. In practice, most software
applications use only small factorials which can be computed by direct
multiplication or table lookup. Larger values are often approximated in
terms of floating-point estimates of the Gamma function, usually with Stirling's formula.

For number theoretic and combinatorial computations, very large exact factorials are often needed. Bignum factorials can be computed by direct multiplication, but multiplying the sequence 1×2×...×*n*
from the bottom up (or top-down) is inefficient; it is better to
recursively split the sequence so that the size of each subproduct is
minimized.

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, Schönhage-Strassen multiplication). Peter Luschny presents source code and benchmarks for several efficient factorial algorithms, with or without the use of a prime sieve.

### Factorial-like products

#### Primorial

The primorial is similar to the factorial, but with the product taken only over the prime numbers.

#### Multifactorials

A common related notation is to use multiple exclamation points to denote a **multifactorial**, the product of integers in steps of two (*n*!!), three (*n*!!!), or more.

*n*!! denotes the **double factorial** of *n* and is defined recursively by

For example, 8!! = 2 · 4 · 6 · 8 = 384 and 9!! = 1 · 3 · 5 · 7 · 9 = 945. The sequence of double factorials (sequence A006882 in OEIS) for *n* = 0, 1, 2,... starts

- 1, 1, 2, 3, 8, 15, 48, 105, 384, 945, 3840, ...

Some identities involving double factorials are:

One should be careful not to interpret *n*!! as the factorial of *n*!, which would be written (*n*!)! and is a much larger number (for *n*>2). Some mathematicians have suggested an alternative notation of *n*!_{2} for the double factorial and similarly *n*!_{n} for other multifactorials, but this has not come into general use.

The double factorial is the most commonly used variant, but one can similarly define the triple factorial (*n*!!!) and so on. In general, the *k*-th factorial, denoted by *n*!^{(k)}, is defined recursively as

#### Hyperfactorials

Occasionally the **hyperfactorial** of *n* is considered. It is written as *H*(*n*) and defined by

For *n* = 1, 2, 3, 4,... the values of *H*(*n*) are 1, 4, 108, 27648,... (sequence A002109 in OEIS).

The hyperfactorial function is similar to the factorial, but produces larger numbers. The rate of growth of this function, however, is not much larger than a regular factorial.

#### Superfactorials

Neil Sloane and Simon Plouffe defined the **superfactorial** in 1995 as the product of the first *n* factorials. So the superfactorial of 4 is

In general

The sequence of superfactorials starts (from *n* = 0) as

- 1, 1, 2, 12, 288, 34560, 24883200, ... (sequence A000178 in OEIS)

This idea was extended in 2000 by Henry Bottomley to the **superduperfactorial** as the product of the first *n* superfactorials, starting (from *n* = 0) as

- 1, 1, 2, 24, 6912, 238878720, 5944066965504000, ... (sequence A055462 in OEIS)

and thus recursively to any **multiple-level factorial** where the *m*th-level factorial of *n* is the product of the first *n* (*m* − 1)th-level factorials, i.e.

where mf(*n*,0) = *n* for *n* > 0 and mf(0,*m*) = 1.

#### Superfactorials (alternative definition)

Clifford Pickover in his 1995 book *Keys to Infinity* defined the **superfactorial** of *n*, written as *n*$ (the $ should really be a factorial sign ! with an S superimposed) as

- ,

or as,

where the ^{(4)} notation denotes the hyper4 operator, or using Knuth's up-arrow notation,

This sequence of superfactorials starts:

### External links

- Factorial Calculator
- table of 2! - 256! (exact)
- http://factorielle.free.fr
- The Dictionary of Large Numbers
- The first 999 factorials