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Entire function

Function that is holomorphic on the whole complex plane

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  • 5 chapters

Related on Lably

Through Function (mathematics), Complex plane and Polynomial

A transcendental entire function is an entire function that is not a polynomial.

Properties

Every entire function f(z) can be represented as a single power series: f(z)=∑n=0∞anzn that converges everywhere in the complex plane, hence uniformly on compact sets. The radius of convergence is infinite, or in other wordslimn→∞|an|1n=0.If (and only if) the coefficients of the power series are all real then the function takes real values for real arguments, and the value of the function at the complex conjugate of z will be the complex conjugate of the value at ⁠z⁠. Such functions are sometimes called self-conjugate (the conjugate function, ⁠F∗(z)⁠, being given by ⁠F¯(z¯)⁠).

If the real part of an entire function is known in a (complex) neighborhood of a point then both the real and imaginary parts are known for the whole complex plane, up to an imaginary constant. For instance, if the real part is known in a neighborhood of zero, then we can find the coefficients for n>0 from the following derivatives with respect to a real variable ⁠r⁠: ℜ(an)=1n!dndrnℜ(f(r))|r=0ℑ(an)=1n!dndrnℜ(f(re−iπ2n))|r=0(Likewise, if the imaginary part is known in such a neighborhood then the function is determined up to a real constant.) In fact, if the real part is known just on an arc of a circle, then the function is determined up to an imaginary constant. Note however that an entire function is not necessarily determined by its real part on some other curves. In particular, if the real part is given on any curve in the complex plane where the real part of some other entire function is zero, then any multiple of that function can be added to the function we are trying to determine. For example, if the curve where the real part is known is the real line, then we can add i times any self-conjugate function. If the curve forms a loop, then it is determined by the real part of the function on the loop since the only functions whose real part is zero on the curve are those that are everywhere equal to some imaginary number.

The Weierstrass factorization theorem asserts that any entire function can be represented by a product involving its zeros (or "roots").

The entire functions on the complex plane form an integral domain (in fact a Prüfer domain). They also form a commutative unital associative algebra over the complex numbers.

Liouville's theorem states that any bounded entire function must be constant.

As a consequence of Liouville's theorem, any function that is entire on the whole Riemann sphere is constant. Thus any non-constant entire function must have a singularity at the complex point at infinity, either a pole for a polynomial or an essential singularity for a transcendental entire function. Specifically, by the Casorati–Weierstrass theorem, for any transcendental entire function f and any complex w there is a sequence (zm)m∈N such that

limm→∞|zm|=∞,andlimm→∞f(zm)=w.

Picard's little theorem is a much stronger result: Any non-constant entire function takes on every complex number as value, possibly with a single exception. When an exception exists, it is called a lacunary value of the function. The possibility of a lacunary value is illustrated by the exponential function, which never takes on the value ⁠0⁠. One can take a suitable branch of the logarithm of an entire function that never hits ⁠0⁠, so that this will also be an entire function (according to the Weierstrass factorization theorem). The logarithm hits every complex number except possibly one number, which implies that the first function will hit any value other than 0 an infinite number of times. Similarly, a non-constant, entire function that does not hit a particular value will hit every other value an infinite number of times.

Liouville's theorem is a special case of the following statement:

Theorem—Assume ⁠M⁠, R are positive constants and n is a non-negative integer. An entire function f satisfying the inequality |f(z)|≤M|z|n for all z with ⁠|z⁠, is necessarily a polynomial, of degree at most ⁠n⁠. Similarly, an entire function f satisfying the inequality M|z|n≤|f(z)| for all z with ⁠|z|≥R⁠, is necessarily a polynomial, of degree at least ⁠n⁠.

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