Functional square root
In mathematics, a functional square root (sometimes called a half iterate) is a square root of a function with respect to the operation of function composition. In other words, a functional square root of a function g is a function f satisfying f(f(x)) = g(x) for all x.
Notation
Notations expressing that f is a functional square root of g are f = g[1/2] and f = g1/2 , or rather f = g 1/2 (see Iterated Function), although this leaves the usual ambiguity with taking the function to that power in the multiplicative sense, just as f ² = f ∘ f can be misinterpreted as x ↦ f(x)².
History
- The functional square root of the exponential function (now known as a half-exponential function) was studied by Hellmuth Kneser in 1950,[1] later providing the basis for extending tetration to non-integer heights in 2017.[citation needed]
- The solutions of f(f(x)) = x over (the involutions of the real numbers) were first studied by Charles Babbage in 1815, and this equation is called Babbage's functional equation.[2] A particular solution is f(x) = (b − x)/(1 + cx) for bc ≠ −1. Babbage noted that for any given solution f, its functional conjugate Ψ−1∘ f ∘ Ψ by an arbitrary invertible function Ψ is also a solution. In other words, the group of all invertible functions on the real line acts on the subset consisting of solutions to Babbage's functional equation by conjugation.
Solutions
A systematic procedure to produce arbitrary functional n-roots (including arbitrary real, negative, and infinitesimal n) of functions relies on the solutions of Schröder's equation.[3][4][5] Infinitely many trivial solutions exist when the domain of a root function f is allowed to be sufficiently larger than that of g.
Examples
- f(x) = 2x2 is a functional square root of g(x) = 8x4.
- A functional square root of the nth Chebyshev polynomial, , is , which in general is not a polynomial.
- is a functional square root of .

- sin[2](x) = sin(sin(x)) [red curve]
- sin[1](x) = sin(x) = rin(rin(x)) [blue curve]
- sin[1/2](x) = rin(x) = qin(qin(x)) [orange curve], although this is not unique, the opposite - rin being a solution of sin = rin ∘ rin, too.
- sin[1/4](x) = qin(x) [black curve above the orange curve]
- sin[–1](x) = arcsin(x) [dashed curve]
Using this extension, sin[1/2](1) can be shown to be approximately equal to 0.90871.[6]
(See.[7] For the notation, see [1] .)
See also
References
- ↑ "Reelle analytische Lösungen der Gleichung φ(φ(x)) = ex und verwandter Funktionalgleichungen". Journal für die reine und angewandte Mathematik 187: 56–67. 1950. doi:10.1515/crll.1950.187.56. http://resolver.sub.uni-goettingen.de/purl?GDZPPN002175851.
- ↑ Jeremy Gray and Karen Parshall (2007) Episodes in the History of Modern Algebra (1800–1950), American Mathematical Society, ISBN 978-0-8218-4343-7
- ↑ Schröder, E. (1870). "Ueber iterirte Functionen". Mathematische Annalen 3 (2): 296–322. doi:10.1007/BF01443992. http://www.digizeitschriften.de/dms/img/?PID=GDZPPN002240998.
- ↑ Szekeres, G. (1958). "Regular iteration of real and complex functions". Acta Mathematica 100 (3–4): 361–376. doi:10.1007/BF02559539.
- ↑ Curtright, T.; Zachos, C.; Jin, X. (2011). "Approximate solutions of functional equations". Journal of Physics A 44 (40). doi:10.1088/1751-8113/44/40/405205. Bibcode: 2011JPhA...44N5205C.
- ↑ Helms, Gottfried (2008). "Continuous iteration of functions having a powerseries". https://go.helms-net.de/math/tetdocs/ContinuousfunctionalIteration.pdf.
- ↑ Curtright, T. L. Evolution surfaces and Schröder functional methods .
