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In mathematics, infinite
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 ...
s of
analytic function In mathematics, an analytic function is a function that is locally given by a convergent power series. There exist both real analytic functions and complex analytic functions. Functions of each type are infinitely differentiable, but complex ...
s (ICAF) offer alternative formulations of analytic continued fractions,
series Series may refer to: People with the name * Caroline Series (born 1951), English mathematician, daughter of George Series * George Series (1920–1995), English physicist Arts, entertainment, and media Music * Series, the ordered sets used i ...
,
products Product may refer to: Business * Product (business), an item that can be offered to a market to satisfy the desire or need of a customer. * Product (project management), a deliverable or set of deliverables that contribute to a business solution ...
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, or holomorphic dynamics, is the study of dynamical systems obtained by Iterated function, iterating a complex analytic mapping. This article focuses on the case of algebraic dynamics, where a polynomial or rational function is it ...
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 obtained by composing another function with itself two or several times. The process of repeatedly applying the same function is called iteration. In this process, starting from some ...
. For compositions of a finite number of functions, useful in
fractal In mathematics, a fractal is a Shape, geometric shape containing detailed structure at arbitrarily small scales, usually having a fractal dimension strictly exceeding the topological dimension. Many fractals appear similar at various scale ...
theory, see
Iterated function system In mathematics, iterated function systems (IFSs) are a method of constructing fractals; the resulting fractals are often self-similar. IFS fractals are more related to set theory than fractal geometry. They were introduced in 1981. IFS fractals ...
. Although the title of this article specifies analytic functions, there are results for more general functions of a complex variable 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) Comment: It is not clear when the first explorations of infinite compositions of analytic functions not restricted to sequences of functions of a specific kind occurred. Possibly in the 1980s.


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 in the following reference. For a different approach to Backward Compositions Theorem, see the following reference. 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 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 ...
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:


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's circle theorem) 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'' =
, 1 The comma is a punctuation mark that appears in several variants in different languages. Some typefaces render it as a small line, slightly curved or straight, but inclined from the vertical; others give it the appearance of a miniature fille ...
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): 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

Source: :\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 the forward Euler method) is a first-order numerical analysis, numerical procedure for solving ordinary differential equations (ODEs) with a given Initial value problem, in ...


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 A continued fraction is a mathematical expression that can be written as a fraction with a denominator that is a sum that contains another simple or continued fraction. Depending on whether this iteration terminates with a simple fraction or not, ...


References

{{reflist Complex analysis Analytic functions Fixed-point theorems Algorithmic art Emergence