Infinite Compositions Of Analytic Functions
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composition Composition or Compositions may refer to: Arts and literature *Composition (dance), practice and teaching of choreography *Composition (language), in literature and rhetoric, producing a work in spoken tradition and written discourse, to include v ...
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s (ICAF) offer alternative formulations of analytic continued fractions,
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,
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and other infinite expansions, and the theory evolving from such compositions may shed light on the convergence/divergence of these expansions. Some functions can actually be expanded directly as infinite compositions. In addition, it is possible to use ICAF to evaluate solutions of fixed point equations involving infinite expansions.
Complex dynamics Complex dynamics is the study of dynamical systems defined by Iterated function, iteration of functions on complex number spaces. Complex analytic dynamics is the study of the dynamics of specifically analytic functions. Techniques *General **Mo ...
offers another venue for iteration of systems of functions rather than a single function. For infinite compositions of a ''single function'' see
Iterated function In mathematics, an iterated function is a function (that is, a function from some set to itself) which is obtained by composing another function with itself a certain number of times. The process of repeatedly applying the same function is ...
. For compositions of a finite number of functions, useful in
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theory, see
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. Although the title of this article specifies analytic functions, there are results for more general
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as well.


Notation

There are several notations describing infinite compositions, including the following: Forward compositions: F_(z) = f_k \circ f_ \circ \dots \circ f_ \circ f_n (z). Backward compositions: G_(z) = f_n \circ f_ \circ \dots \circ f_ \circ f_k (z). In each case convergence is interpreted as the existence of the following limits: : \lim_ F_(z), \qquad \lim_ G_(z). For convenience, set and . One may also write F_n(z)=\underset\,f_k(z)=f_1 \circ f_2\circ \cdots \circ f_n(z) and G_n(z)=\underset\,g_k(z)=g_n \circ g_\circ \cdots \circ g_1(z)


Contraction theorem

Many results can be considered extensions of the following result:


Infinite compositions of contractive functions

Let be a sequence of functions analytic on a simply-connected domain ''S''. Suppose there exists a compact set Ω ⊂ ''S'' such that for each ''n'', ''fn''(''S'') ⊂ Ω. Additional theory resulting from investigations based on these two theorems, particularly Forward Compositions Theorem, include location analysis for the limits obtained her

For a different approach to Backward Compositions Theorem, se

Regarding Backward Compositions Theorem, the example ''f''2''n''(''z'') = 1/2 and ''f''2''n''−1(''z'') = −1/2 for ''S'' = demonstrates the inadequacy of simply requiring contraction into a compact subset, like Forward Compositions Theorem. For functions not necessarily analytic the Contraction mapping, Lipschitz condition suffices:


Infinite compositions of other functions


Non-contractive complex functions

Results involving
entire function In complex analysis, an entire function, also called an integral function, is a complex-valued function that is holomorphic on the whole complex plane. Typical examples of entire functions are polynomials and the exponential function, and any fin ...
s include the following, as examples. Set :\begin f_n(z)&=a_n z + c_z^2+c_ z^3+\cdots \\ \rho_n &= \sup_r \left\ \end Then the following results hold: Additional elementary results include: Example GF1: F_(x+iy)=\underset \left( \frac \right),\qquad 20,20/math> Example GF2: G_(x+iy)=\underset\,\left( \frac \right), \ 20,20


Linear fractional transformations

Results for compositions of linear fractional (Möbius) transformations include the following, as examples:


Examples and applications


Continued fractions

The value of the infinite continued fraction :\cfrac may be expressed as the limit of the sequence where :f_n(z)=\frac. As a simple example, a well-known result (Worpitsky Circle*) follows from an application of Theorem (A): Consider the continued fraction :\cfrac with :f_n(z)=\frac. Stipulate that , ζ, < 1 and , ''z'', < ''R'' < 1. Then for 0 < ''r'' < 1, : , a_n, , analytic for , ''z'', < 1. Set ''R'' = 1/2. Example. F(z)=\frac\text\frac\text\frac \cdots, 15,15/math> ] Example. A ''fixed-point continued fraction form'' (a single variable). :f_(z)=\frac, \alpha_=\alpha_(z), \beta_=\beta_(z), F_n(z)= \left (f_ \circ\cdots \circ f_ \right ) (z) :\alpha_=x \cos(ty)+iy \sin(tx), \beta_= \cos(ty)+i \sin(tx), t=k/n


Direct functional expansion

Examples illustrating the conversion of a function directly into a composition follow: Example 1. Suppose \phi is an entire function satisfying the following conditions: :\begin \phi (tz)=t\left( \phi (z)+\phi (z)^2 \right) & , t, > 1 \\ \phi(0) = 0 \\ \phi'(0) =1 \end Then :f_n(z)=z+\frac\Longrightarrow F_n(z)\to \phi (z). Example 2. :f_n(z)=z+\frac\Longrightarrow F_n(z)\to \frac\left( e^-1 \right) Example 3. :f_n(z)= \frac\Longrightarrow F_n(z)\to \tan (z) Example 4. :g_n(z)=\frac \left ( \sqrt-1 \right )\Longrightarrow G_n(z) \to \arctan (z)


Calculation of fixed-points

Theorem (B) can be applied to determine the fixed-points of functions defined by infinite expansions or certain integrals. The following examples illustrate the process: Example FP1. For , ''ζ'', ≤ 1 let :G(\zeta )=\frac To find α = ''G''(α), first we define: :\begin t_n(z)&=\cfrac \\ f_n(\zeta )&= t_1\circ t_2\circ \cdots \circ t_n(0) \end Then calculate G_n(\zeta )=f_n\circ \cdots \circ f_1(\zeta ) with ζ = 1, which gives: α = 0.087118118... to ten decimal places after ten iterations.


Evolution functions

Consider a time interval, normalized to ''I'' =
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ICAFs can be constructed to describe continuous motion of a point, ''z'', over the interval, but in such a way that at each "instant" the motion is virtually zero (see
Zeno's Arrow Zeno's paradoxes are a set of philosophical problems generally thought to have been devised by Greek philosopher Zeno of Elea (c. 490–430 BC) to support Parmenides' doctrine that contrary to the evidence of one's senses, the belief in pluralit ...
): For the interval divided into n equal subintervals, 1 ≤ ''k'' ≤ ''n'' set g_(z)=z+\varphi_(z) analytic or simply continuous – in a domain ''S'', such that :\lim_\varphi_(z)=0 for all ''k'' and all ''z'' in ''S'', and g_(z) \in S.


Principal example

:\begin g_(z) &=z+\frac\phi \left (z,\tfrac \right ) \\ G_(z) &= \left (g_\circ g_ \circ \cdots \circ g_ \right ) (z) \\ G_n(z) &=G_(z) \end implies :\lambda_n(z)\doteq G_n(z)-z=\frac\sum_^n \phi \left( G_(z)\tfrac k n \right)\doteq \frac 1 n \sum_^n \psi \left (z,\tfrac \right) \sim \int_0^1 \psi (z,t)\,dt, where the integral is well-defined if \tfrac=\phi (z,t) has a closed-form solution ''z''(''t''). Then :\lambda_n(z_0)\approx \int_0^1 \phi ( z(t),t)\,dt. Otherwise, the integrand is poorly defined although the value of the integral is easily computed. In this case one might call the integral a "virtual" integral. Example. \phi (z,t)=\frac+i\frac, \int_0^1 \psi (z,t) \, dt ] Example. Let: :g_n(z)=z+\frac\phi (z), \quad \text \quad f(z) = z + \phi(z). Next, set T_(z)=g_n(z), T_(z)= g_n(T_(z)), and ''Tn''(''z'') = ''Tn,n''(''z''). Let :T(z)=\lim_ T_n(z) when that limit exists. The sequence defines contours γ = γ(''cn'', ''z'') that follow the flow of the vector field ''f''(''z''). If there exists an attractive fixed point α, meaning , ''f''(''z'') − α, ≤ ρ, ''z'' − α, for 0 ≤ ρ < 1, then ''Tn''(''z'') → ''T''(''z'') ≡ α along γ = γ(''cn'', ''z''), provided (for example) c_n = \sqrt. If ''cn'' ≡ ''c'' > 0, then ''Tn''(''z'') → ''T''(''z''), a point on the contour γ = γ(''c'', ''z''). It is easily seen that :\oint_\gamma \phi (\zeta ) \, d\zeta =\lim_\frac c n \sum_^n \phi ^2 \left (T_(z) \right ) and :L(\gamma (z))=\lim_ \frac\sum_^n \left, \phi \left (T_(z) \right ) \, when these limits exist. These concepts are marginally related to '' Active contour model, active contour theory'' in image processing, and are simple generalizations of the
Euler method In mathematics and computational science, the Euler method (also called forward Euler method) is a first-order numerical procedure for solving ordinary differential equations (ODEs) with a given initial value. It is the most basic explicit met ...


Self-replicating expansions


Series

The series defined recursively by ''fn''(''z'') = ''z'' + ''gn''(''z'') have the property that the nth term is predicated on the sum of the first ''n'' − 1 terms. In order to employ theorem (GF3) it is necessary to show boundedness in the following sense: If each ''fn'' is defined for , ''z'', < ''M'' then , ''Gn''(''z''), < ''M'' must follow before , ''fn''(''z'') − ''z'', = , ''gn''(''z''), ≤ ''Cβn'' is defined for iterative purposes. This is because g_n(G_(z)) occurs throughout the expansion. The restriction :, z, 0 serves this purpose. Then ''Gn''(''z'') → ''G''(''z'') uniformly on the restricted domain. Example (S1). Set :f_n(z)=z+\frac\sqrt, \qquad \rho >\sqrt and ''M'' = ρ2. Then ''R'' = ρ2 − (π/6) > 0. Then, if S=\left\, ''z'' in ''S'' implies , ''Gn''(''z''), < ''M'' and theorem (GF3) applies, so that :\begin G_n(z) &=z+g_1(z)+g_2(G_1(z))+g_3(G_2(z))+\cdots + g_n(G_(z)) \\ &= z+\frac\sqrt+\frac\sqrt+\frac\sqrt+\cdots +\frac \sqrt \end converges absolutely, hence is convergent. Example (S2): f_n(z)=z+\frac 1 \cdot \varphi (z), \varphi (z)=2\cos(x/y)+i2\sin (x/y), >G_n(z)=f_n \circ f_\circ \cdots \circ f_1(z), \qquad 10,10 n=50


Products

The product defined recursively by :f_n(z)=z( 1+g_n(z)), \qquad , z, \leqslant M, has the appearance :G_n(z) = z \prod _^n \left( 1+g_k \left( G_(z) \right) \right). In order to apply Theorem GF3 it is required that: :\left, zg_n(z) \\le C\beta_n, \qquad \sum_^\infty \beta_k<\infty. Once again, a boundedness condition must support :\left, G_(z) g_n(G_(z))\\le C \beta_n. If one knows ''Cβn'' in advance, the following will suffice: :, z, \leqslant R = \frac \qquad \text \quad P = \prod_^\infty \left( 1+C\beta_n\right). Then ''Gn''(''z'') → ''G''(''z'') uniformly on the restricted domain. Example (P1). Suppose f_n(z)=z(1+g_n(z)) with g_n(z)=\tfrac, observing after a few preliminary computations, that , ''z'', ≤ 1/4 implies , ''Gn''(''z''), < 0.27. Then :\left, G_n(z) \frac \<(0.02)\frac=C\beta_n and :G_n(z)=z \prod_^\left( 1+\frac\right) converges uniformly. Example (P2). :g_(z)=z\left( 1+\frac 1 n \varphi \left (z,\tfrac k n \right ) \right), :G_(z)= \left( g_\circ g_\circ \cdots \circ g_ \right ) (z) = z\prod_^n ( 1+P_(z)), :P_(z)=\frac 1 n \varphi \left (G_(z),\tfrac \right ), :\prod_^ \left( 1+P_(z) \right) = 1+P_(z)+P_(z)+\cdots + P_(z) + R_n(z) \sim \int_0^1 \pi (z,t) \, dt + 1+R_n(z), :\varphi (z)=x\cos(y)+iy\sin(x), \int_0^1 (z\pi (z,t)-1) \,dt, \qquad 15,15


Continued fractions

Example (CF1): A self-generating continued fraction. : \begin F_n(z) &= \frac \frac \frac \cdots \frac, \\ \rho (z) &= \frac+i\frac, \qquad \qquad\delta_k\equiv 1 \end Example (CF2): Best described as a self-generating reverse Euler continued fraction. : G_n(z)=\frac\ \frac\cdots \frac\ \frac, :\rho (z)=\rho (x+iy)=x\cos(y)+iy\sin(x), \qquad 15,15 n=30


See also

*
Generalized continued fraction In complex analysis, a branch of mathematics, a generalized continued fraction is a generalization of regular continued fractions in canonical form, in which the partial numerators and partial denominators can assume arbitrary complex values. A ge ...


References


External Links

*{{cite journal , first=J. , last=Gill , title=A Primer on the Elementary Theory of Infinite Compositions of Complex Functions , journal=Communications in the Analytic Theory of Continued Fractions , volume=XXIII , date=2017 , url=https://www.coloradomesa.edu/math-stat/catcf/papers/primerinfcompcomplexfcns.pdf Complex analysis Analytic functions Fixed-point theorems Algorithmic art Emergence