Entire function
In complex analysis, an entire function, also called an integral function, is a complex-valued function that is holomorphic at all finite points over the whole complex plane. Typical examples of entire functions are polynomials and the exponential function, and any finite sums, products and compositions of these, such as the trigonometric functions sine and cosine and their hyperbolic counterparts sinh and cosh, as well as derivatives and integrals of entire functions such as the error function. If an entire function f(z) has a root at w, then f(z)/(z−w), taking the limit value at w, is an entire function. On the other hand, neither the natural logarithm nor the square root is an entire function, nor can they be continued analytically to an entire function.
A transcendental entire function is an entire function that is not a polynomial.
Contents
1 Properties
2 Growth
3 Order and type
3.1 Examples
3.1.1 Order ρ
3.1.2 Order 0
3.1.3 Order 1/4
3.1.4 Order 1/3
3.1.5 Order 1/2
3.1.6 Order 1
3.1.7 Order 3/2
3.1.8 Order 2
3.1.9 Order infinity
4 Genus of an entire function
5 Other examples
6 See also
7 Notes
8 References
Properties
Every entire function f(z) can be represented as a power series
- f(z)=∑n=0∞anzndisplaystyle f(z)=sum _n=0^infty a_nz^n
that converges everywhere in the complex plane, hence uniformly on compact sets. The radius of convergence is infinite, which implies that
- limn→∞|an|1n=0displaystyle lim _nto infty
or
- limn→∞ln|an|n=−∞.displaystyle lim _nto infty frac ln n=-infty .
Any power series satisfying this criterion will represent an entire function.
If (and only if) the coefficients of the power series are all real then the function evidently 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)displaystyle F^*(z), being given by F¯(z¯)).displaystyle bar F(bar z)).[1]
If the real part of an entire function is known in a 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:
- Rean=1n!dndrnRef(r)at r=0Iman=1n!dndrnRef(re−iπ2n)at r=0displaystyle beginalignedoperatorname Re a_n&=frac 1n!frac d^ndr^noperatorname Re f(r)&&textat r=0\operatorname Im a_n&=frac 1n!frac d^ndr^noperatorname Re fleft(re^-frac ipi 2nright)&&textat r=0endaligned
(Likewise, if the imaginary part is known in 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. (For instance, if it the real part is known on part of the unit circle, then it is known on the whole unit circle by analytic extension, and then the coefficients of the infinite series are determined from the coefficients of the Fourier series for the real part on the unit circle.) Note however that an entire function is not determined by its real part on all 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 zeroes (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. Liouville's theorem may be used to elegantly prove the fundamental theorem of algebra.
As a consequence of Liouville's theorem, any function that is entire on the whole Riemann sphere (complex plane and the point at infinity) 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∈Ndisplaystyle (z_m)_min mathbb N such that
- limm→∞|zm|=∞,andlimm→∞f(zm)=w.=infty ,qquad textandqquad lim _mto infty f(z_m)=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|nleq M for all z with |z|≥R,displaystyle is necessarily a polynomial, of degree at most n.[2] Similarly, an entire function f satisfying the inequality M|z|n≤|f(z)|displaystyle M for all z with |z|≥R,displaystyle is necessarily a polynomial, of degree at least n.
Growth
Entire functions may grow as fast as any increasing function: for any increasing function g: [0,∞) → [0,∞) there exists an entire function f such that f(x) > g(|x|) for all real x. Such a function f may be easily found of the form:
- f(z)=c+∑k=1∞(zk)nkdisplaystyle f(z)=c+sum _k=1^infty left(frac zkright)^n_k
for a constant c and a strictly increasing sequence of positive integers nk. Any such sequence defines an entire function f(z), and if the powers are chosen appropriately we may satisfy the inequality f(x) > g(|x|) for all real x. (For instance, it certainly holds if one chooses c := g(2) and, for any integer k≥1,nk:=2⌈klng(k+2)⌉displaystyle kgeq 1,n_k:=2leftlceil kln g(k+2)rightrceil although this gives powers that may be about twice as high as needed.)
Order and type
The order (at infinity) of an entire function f(z)displaystyle f(z) is defined using the limit superior as:
- ρ=lim supr→∞ln(ln‖f‖∞,Br)lnr,displaystyle rho =limsup _rto infty frac ln left(ln ln r,
where Br is the disk of radius r and ‖f‖∞,Brdisplaystyle denotes the supremum norm of f(z)displaystyle f(z) on Br. The order is a non-negative real number or infinity (except when f(z)=0displaystyle f(z)=0 for all z). In other words, the order of f(z)displaystyle f(z) is the infimum of all m such that:
- f(z)=O(exp(|z|m)),as z→∞.z
The example of f(z)=exp(2z2)displaystyle f(z)=exp(2z^2) shows that this does not mean f(z) = O(exp(|z|m)) if f(z)displaystyle f(z) is of order m.
If 0<ρ<∞,displaystyle 0<rho <infty , one can also define the type:
- σ=lim supr→∞ln‖f‖∞,Brrρ.displaystyle sigma =limsup _rto infty frac _infty ,B_rr^rho .
If the order is 1 and the type is σ, the function is said to be "of exponential type σ". If it is of order less than 1 it is said to be of exponential type 0.
If
- f(z)=∑n=0∞anzn,displaystyle f(z)=sum _n=0^infty a_nz^n,
then the order and type can be found by the formulas
- ρ=lim supn→∞nlnn−ln|an|(eρσ)1ρ=lim supn→∞n1ρ|an|1ndisplaystyle ^frac 1nendaligned
Let f(n)displaystyle f^(n) denote the nth derivative of f, then we may restate these formulas in terms of the derivatives at any arbitrary point z0:
- ρ=lim supn→∞nlnnnlnn−ln|f(n)(z0)|=(1−lim supn→∞ln|f(n)(z0)|nlnn)−1(ρσ)1ρ=e1−1ρlim supn→∞|f(n)(z0)|1nn1−1ρdisplaystyle beginalignedrho &=limsup _nto infty frac nln nnln n-ln =left(1-limsup _nto infty frac f^(n)(z_0)nln nright)^-1\[6pt](rho sigma )^frac 1rho &=e^1-frac 1rho limsup _nto infty frac f^(n)(z_0)n^1-frac 1rho endaligned
The type may be infinite, as in the case of the reciprocal gamma function, or zero (see example below under #Order 1).
Examples
Here are some examples of functions of various orders:
Order ρ
For arbitrary positive numbers ρ and σ one can construct an example of an entire function of order ρ and type σ using:
- f(z)=∑n=1∞(eρσn)nρzndisplaystyle f(z)=sum _n=1^infty left(frac erho sigma nright)^frac nrho z^n
Order 0
- Non-zero polynomials
- ∑n=0∞2−n2zndisplaystyle sum _n=0^infty 2^-n^2z^n
Order 1/4
- f(z4)displaystyle f(sqrt[4]z)
where
- f(u)=cos(u)+cosh(u)displaystyle f(u)=cos(u)+cosh(u)
Order 1/3
- f(z3)displaystyle f(sqrt[3]z)
where
- f(u)=eu+eωu+eω2u=eu+2e−u2cos(3u2),with ω a complex cube root of 1.displaystyle f(u)=e^u+e^omega u+e^omega ^2u=e^u+2e^-frac u2cos left(frac sqrt 3u2right),quad textwith omega text a complex cube root of 1.
Order 1/2
cos(az)displaystyle cos left(asqrt zright) with a ≠ 0 (for which the type is given by σ = |a|)
Order 1
- exp(az) with a ≠ 0 (σ = |a|)
- sin(z)
- cosh(z)
- the Bessel function J0(z)[citation needed]
- the reciprocal gamma function 1/Γ(z) (σ is infinite)
- ∑n=2∞zn(nlnn)n.(σ=0)displaystyle sum _n=2^infty frac z^n(nln n)^n.quad (sigma =0)
Order 3/2
Airy function Ai(z)
Order 2
- exp(−az2) with a ≠ 0 (σ = |a|)
Order infinity
- exp(exp(z))
Genus of an entire function
Entire functions of finite order have Hadamard's canonical representation:
- f(z)=zmeP(z)∏n=1∞(1−zzn)exp(zzn+⋯+1p(zzn)p),displaystyle f(z)=z^me^P(z)prod _n=1^infty left(1-frac zz_nright)exp left(frac zz_n+cdots +frac 1pleft(frac zz_nright)^pright),
where zkdisplaystyle z_k are those roots of fdisplaystyle f that are not zero (zk≠0displaystyle z_kneq 0), Pdisplaystyle P a polynomial (whose degree we shall call qdisplaystyle q), and pdisplaystyle p is the smallest non-negative integer such that the series
- ∑n=1∞1|zn|p+1displaystyle sum _n=1^infty frac 1z_n
converges. The non-negative integer g=maxp,qdisplaystyle g=maxp,q is called the genus of the entire function fdisplaystyle f.
If the order ρ is not an integer, then g=[ρ]displaystyle g=lbrack rho rbrack is the integer part of ρdisplaystyle rho . If the order is a positive integer, then there are two possibilities: g=ρ−1displaystyle g=rho -1 or g=ρdisplaystyle g=rho .
For example, sin,cosdisplaystyle sin ,cos and expdisplaystyle exp are entire functions of genus 1.
Other examples
According to J. E. Littlewood, the Weierstrass sigma function is a 'typical' entire function. This statement can be made precise in the theory of random entire functions: the asymptotic behavior of almost all entire functions is similar to that of the sigma function. Other examples include the Fresnel integrals, the Jacobi theta function, and the reciprocal Gamma function. The exponential function and the error function are special cases of the Mittag-Leffler function. According to the fundamental theorem of Paley and Wiener, Fourier transforms of functions (or distributions) with bounded support are entire functions of order 1 and finite type.
Other examples are solutions of linear differential equations with polynomial coefficients. If the coefficient at the highest derivative is constant, then all solutions of such equations are entire functions. For example, the exponential function, sine, cosine, Airy functions and Parabolic cylinder functions arise in this way. The class of entire functions is closed with respect to compositions. This makes it possible to study dynamics of entire functions.
An entire function of the square root of a complex number is entire if the original function is even, for example cos(z)displaystyle cos(sqrt z).
If a sequence of polynomials all of whose roots are real converges in a neighborhood of the origin to a limit which is not identically equal to zero, then this limit is an entire function. Such entire functions form the Laguerre–Pólya class, which can also be characterized in terms of the Hadamard product, namely, f belongs to this class if and only if in the Hadamard representation all zn are real, p ≤ 1, and P(z) = a + bz + cz2, where b and c are real, and c ≤ 0. For example, the sequence of polynomials
- (1−(z−d)2n)ndisplaystyle left(1-frac (z-d)^2nright)^n
converges, as n increases, to exp(−(z−d)2). The polynomials
- 12((1+izn)n+(1−izn)n)displaystyle frac 12left(left(1+frac iznright)^n+left(1-frac iznright)^nright)
have all real roots, and converge to cos(z). The polynomials
- ∏m=1n(1−z2((m−12)π)2)displaystyle prod _m=1^nleft(1-frac z^2left(left(m-frac 12right)pi right)^2right)
also converge to cos(z), showing the buildup of the Hadamard product for cosine.
See also
- Jensen's formula
- Carlson's theorem
- Exponential type
- Paley–Wiener theorem
- Wiman-Valiron theory
Notes
^ See for example page 1 of Ralph P. Boas (1954). Entire Functions. Academic Press. OCLC 847696..mw-parser-output cite.citationfont-style:inherit.mw-parser-output qquotes:"""""""'""'".mw-parser-output code.cs1-codecolor:inherit;background:inherit;border:inherit;padding:inherit.mw-parser-output .cs1-lock-free abackground:url("//upload.wikimedia.org/wikipedia/commons/thumb/6/65/Lock-green.svg/9px-Lock-green.svg.png")no-repeat;background-position:right .1em center.mw-parser-output .cs1-lock-limited a,.mw-parser-output .cs1-lock-registration abackground:url("//upload.wikimedia.org/wikipedia/commons/thumb/d/d6/Lock-gray-alt-2.svg/9px-Lock-gray-alt-2.svg.png")no-repeat;background-position:right .1em center.mw-parser-output .cs1-lock-subscription abackground:url("//upload.wikimedia.org/wikipedia/commons/thumb/a/aa/Lock-red-alt-2.svg/9px-Lock-red-alt-2.svg.png")no-repeat;background-position:right .1em center.mw-parser-output .cs1-subscription,.mw-parser-output .cs1-registrationcolor:#555.mw-parser-output .cs1-subscription span,.mw-parser-output .cs1-registration spanborder-bottom:1px dotted;cursor:help.mw-parser-output .cs1-hidden-errordisplay:none;font-size:100%.mw-parser-output .cs1-visible-errorfont-size:100%.mw-parser-output .cs1-subscription,.mw-parser-output .cs1-registration,.mw-parser-output .cs1-formatfont-size:95%.mw-parser-output .cs1-kern-left,.mw-parser-output .cs1-kern-wl-leftpadding-left:0.2em.mw-parser-output .cs1-kern-right,.mw-parser-output .cs1-kern-wl-rightpadding-right:0.2em
^ The converse is also true as for any polynomial p(z)=∑k=0nakzkdisplaystyle p(z)=sum _k=0^na_kz^k of degree n the inequality |p(z)|≤(∑k=0n|ak|)|z|n^n holds for any |z| ≥ 1.
References
Ralph P. Boas (1954). Entire Functions. Academic Press. OCLC 847696.
B. Ya. Levin (1980). Distribution of zeros of entire functions. Amer. Math. Soc.
B. Ya. Levin (1996). Lectures on entire functions. Amer. Math. Soc.