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Iterated function
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==Lie's data transport equation== {{see also|Shift operator#Functions of a real variable}} Iterated functions crop up in the series expansion of combined functions, such as {{math|''g''(''f''(''x''))}}. Given the [[Koenigs function#Structure of univalent semigroups|iteration velocity]], or [[beta function (physics)]], :<math>v(x) = \left. \frac{\partial f^n(x)}{\partial n} \right|_{n=0}</math> for the {{mvar|n}}<sup>th</sup> iterate of the function {{mvar|f}}, we have<ref>{{Cite journal | last1 = Berkson | first1 = E. | last2 = Porta | first2 = H. | doi = 10.1307/mmj/1029002009 | title = Semigroups of analytic functions and composition operators | journal = The Michigan Mathematical Journal | volume = 25 | pages = 101β115 | year = 1978 | doi-access = free }} {{Cite journal | last1 = Curtright | first1 = T. L. | last2 = Zachos | first2 = C. K. | doi = 10.1088/1751-8113/43/44/445101 | title = Chaotic maps, Hamiltonian flows and holographic methods | journal = Journal of Physics A: Mathematical and Theoretical | volume = 43 | issue = 44 | pages = 445101 | year = 2010 | arxiv = 1002.0104 | bibcode = 2010JPhA...43R5101C | s2cid = 115176169 }}</ref> :<math> g(f(x)) = \exp\left[ v(x) \frac{\partial}{\partial x} \right] g(x). </math> For example, for rigid advection, if {{math|''f''(''x'') {{=}} ''x'' + ''t''}}, then {{math|''v''(''x'') {{=}} ''t''}}. Consequently, {{math|''g''(''x'' + ''t'') {{=}} exp(''t'' β/β''x'') ''g''(''x'')}}, action by a plain [[shift operator]]. Conversely, one may specify {{math|''f''(''x'')}} given an arbitrary {{math|''v''(''x'')}}, through the generic [[Abel equation]] discussed above, :<math> f(x) = h^{-1}(h(x)+1) , </math> where :<math> h(x) = \int \frac{1}{v(x)} \, dx . </math> This is evident by noting that :<math>f^n(x)=h^{-1}(h(x)+n)~.</math> For continuous iteration index {{mvar|t}}, then, now written as a subscript, this amounts to Lie's celebrated exponential realization of a continuous group, :<math>e^{t~\frac{\partial ~~}{\partial h(x)}} g(x)= g(h^{-1}(h(x )+t))= g(f_t(x)).</math> The initial flow velocity {{mvar|v}} suffices to determine the entire flow, given this exponential realization which automatically provides the general solution to the ''translation functional equation'',<ref name="acz">Aczel, J. (2006), ''Lectures on Functional Equations and Their Applications'' (Dover Books on Mathematics, 2006), Ch. 6, {{ISBN|978-0486445236}}.</ref> :<math>f_t(f_\tau (x))=f_{t+\tau} (x) ~.</math>
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