Theorem in complex analysis
In mathematical analysis, the Bohr–Mollerup theorem is a theorem proved by the Danish mathematicians Harald Bohr and Johannes Mollerup. The theorem characterizes the gamma function, defined for "x" ; 0 by
formula_1
as the "only" positive function  f , with domain on the interval "x" ; 0, that simultaneously has the following three properties:
 1, and
 "x" "f" ("x") for "x" ; 0 and
A treatment of this theorem is in Artin's book "The Gamma Function", which has been reprinted by the AMS in a collection of Artin's writings.
The theorem was first published in a textbook on complex analysis, as Bohr and Mollerup thought it had already been proved.
The theorem admits a far-reaching generalization to a wide variety of functions (that have convexity or concavity properties of any order).
Bohr–Mollerup Theorem.     Γ("x") is the only function that satisfies  "f" ("x" + 1) 
Statement.
 "x" "f" ("x") with log( "f" ("x")) convex and also with  "f" (1) 
 1.
Proof.
Let Γ("x") be a function with the assumed properties established above: Γ("x" + 1) 
 "x"Γ("x") and log(Γ("x")) is convex, and Γ(1) 
 1. From Γ("x" + 1) 
 "x"Γ("x") we can establish
formula_2
The purpose of the stipulation that Γ(1) 
 1 forces the Γ("x" + 1) 
 "x"Γ("x") property to duplicate the factorials of the integers so we can conclude now that Γ("n") 
 ("n" − 1)! if "n" ∈ N and if Γ("x") exists at all. Because of our relation for Γ("x" + "n"), if we can fully understand Γ("x") for 0 ; "x" ≤ 1 then we understand Γ("x") for all values of x.
For "x"1, "x"2, the slope "S"("x"1, "x"2) of the line segment connecting the points ("x"1, log(Γ ("x"1))) and ("x"2, log(Γ ("x"2))) is monotonically increasing in each argument with "x"1 ; "x"2 since we have stipulated that log(Γ("x")) is convex. Thus, we know that
formula_3
After simplifying using the various properties of the logarithm, and then exponentiating (which preserves the inequalities since the exponential function is monotonically increasing) we obtain
formula_4
From previous work this expands to
formula_5
and so
formula_6
The last line is a strong statement. In particular, "it is true for all values of" n. That is Γ("x") is not greater than the right hand side for any choice of n and likewise, Γ("x") is not less than the left hand side for any other choice of n. Each single inequality stands alone and may be interpreted as an independent statement. Because of this fact, we are free to choose different values of n for the RHS and the LHS. In particular, if we keep n for the RHS and choose "n" + 1 for the LHS we get:
formula_7
It is evident from this last line that a function is being sandwiched between two expressions, a common analysis technique to prove various things such as the existence of a limit, or convergence. Let "n" → ∞:
formula_8
so the left side of the last inequality is driven to equal the right side in the limit and
formula_9
is sandwiched in between. This can only mean that
formula_10
In the context of this proof this means that
formula_11
has the three specified properties belonging to Γ("x"). Also, the proof provides a specific expression for Γ("x"). And the final critical part of the proof is to remember that the limit of a sequence is unique. This means that for any choice of 0 ; "x" ≤ 1 only one possible number Γ("x") can exist. Therefore, there is no other function with all the properties assigned to Γ("x").
The remaining loose end is the question of proving that Γ("x") makes sense for all x where
formula_11
exists. The problem is that our first double inequality
formula_13
was constructed with the constraint 0 ; "x" ≤ 1. If, say, "x" ; 1 then the fact that S is monotonically increasing would make "S"("n" + 1, "n") ; "S"("n" + "x", "n"), contradicting the inequality upon which the entire proof is constructed. However,
formula_14
which demonstrates how to bootstrap Γ("x") to all values of x where the limit is defined.
References.
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