Carlson's theorem

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Short description: Uniqueness theorem in complex analysis

In mathematics, in the area of complex analysis, Carlson's theorem is a uniqueness theorem which was discovered by Fritz David Carlson. Informally, it states that two different analytic functions which do not grow very fast at infinity can not coincide at the integers. The theorem may be obtained from the Phragmén–Lindelöf theorem, which is itself an extension of the maximum-modulus theorem.

Carlson's theorem is typically invoked to defend the uniqueness of a Newton series expansion. Carlson's theorem has generalized analogues for other expansions.

Statement

Assume that f satisfies the following three conditions. The first two conditions bound the growth of f at infinity, whereas the third one states that f vanishes on the non-negative integers.

  1. f(z) is an entire function of exponential type, meaning that [math]\displaystyle{ |f(z)| \leq C e^{\tau|z|}, \quad z \in \mathbb{C} }[/math] for some real values C, τ.
  2. There exists c < π such that [math]\displaystyle{ |f(iy)| \leq C e^{c|y|}, \quad y \in \mathbb{R} }[/math]
  3. f(n) = 0 for every non-negative integer n.

Then f is identically zero.

Sharpness

First condition

The first condition may be relaxed: it is enough to assume that f is analytic in Re z > 0, continuous in Re z ≥ 0, and satisfies

[math]\displaystyle{ |f(z)| \leq C e^{\tau|z|}, \quad \operatorname{Re} z \gt 0 }[/math]

for some real values C, τ.

Second condition

To see that the second condition is sharp, consider the function f(z) = sin(πz). It vanishes on the integers; however, it grows exponentially on the imaginary axis with a growth rate of c = π, and indeed it is not identically zero.

Third condition

A result, due to (Rubel 1956), relaxes the condition that f vanish on the integers. Namely, Rubel showed that the conclusion of the theorem remains valid if f vanishes on a subset A ⊂ {0, 1, 2, ...} of upper density 1, meaning that

[math]\displaystyle{ \limsup_{n \to \infty} \frac{\left| A \cap \{0,1,\ldots,n-1\} \right|}{n} = 1. }[/math]

This condition is sharp, meaning that the theorem fails for sets A of upper density smaller than 1.

Applications

Suppose f(z) is a function that possesses all finite forward differences [math]\displaystyle{ \Delta^n f(0) }[/math]. Consider then the Newton series

[math]\displaystyle{ g(z) = \sum_{n=0}^\infty {z \choose n} \, \Delta^n f(0) }[/math]

with [math]\displaystyle{ {z \choose n} }[/math] is the binomial coefficient and [math]\displaystyle{ \Delta^n f(0) }[/math] is the n-th forward difference. By construction, one then has that f(k) = g(k) for all non-negative integers k, so that the difference h(k) = f(k) − g(k) = 0. This is one of the conditions of Carlson's theorem; if h obeys the others, then h is identically zero, and the finite differences for f uniquely determine its Newton series. That is, if a Newton series for f exists, and the difference satisfies the Carlson conditions, then f is unique.

See also

References