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Functional equation

From Wikipedia, the free encyclopedia
Equation whose unknown is a function
Not to be confused withFunctional model.

Inmathematics, afunctional equation is, in the broadest meaning, anequation in which one or several functions appear asunknowns.[1][2] So,differential equations andintegral equations are functional equations. However, a more restricted meaning is often used, where afunctional equation is an equation that relates several values of the same function. For example, thelogarithm functions areessentially characterized by thelogarithmic functional equationlog(xy)=log(x)+log(y){\displaystyle \log(xy)=\log(x)+\log(y)}.

If thedomain of the unknown function is supposed to be thenatural numbers, the function is generally viewed as asequence, and, in this case, a functional equation (in the narrower meaning) is called arecurrence relation. Thus the termfunctional equation is used mainly forreal functions andcomplex functions. Moreover asmoothness condition is often assumed for the solutions, since without such a condition, most functional equations have highly irregular solutions. For example, thegamma function is a function that satisfies the functional equationf(x+1)=xf(x){\displaystyle f(x+1)=xf(x)} and the initial valuef(1)=1.{\displaystyle f(1)=1.} There are many functions that satisfy these conditions, but the gamma function is the unique one that ismeromorphic in the whole complex plane, andlogarithmically convex forx real and positive (Bohr–Mollerup theorem).

Examples

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One feature that all of the examples listed above have in common is that, in each case, two or more known functions (sometimes multiplication by a constant, sometimes addition of two variables, sometimes theidentity function) are inside the argument of the unknown functions to be solved for.

When it comes to asking forall solutions, it may be the case that conditions frommathematical analysis should be applied; for example, in the case of theCauchy equation mentioned above, the solutions that arecontinuous functions are the 'reasonable' ones, while other solutions that are not likely to have practical application can be constructed (by using aHamel basis for thereal numbers asvector space over therational numbers). TheBohr–Mollerup theorem is another well-known example.

Involutions

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Theinvolutions are characterized by the functional equationf(f(x))=x{\displaystyle f(f(x))=x}. These appear inBabbage's functional equation (1820),[3]

f(f(x))=1(1x)=x.{\displaystyle f(f(x))=1-(1-x)=x\,.}

Other involutions, and solutions of the equation, include

which includes the previous three asspecial cases or limits.

Solution

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Indynamic programming a variety of successive approximation methods[4][5] are used to solveBellman's functional equation, including methods based onfixed point iterations.

See also

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Notes

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  1. ^Proved inRiemann zeta function § Riemann's functional equation

References

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  1. ^Rassias, Themistocles M. (2000).Functional Equations and Inequalities. 3300 AA Dordrecht, The Netherlands:Kluwer Academic Publishers. p. 335.ISBN 0-7923-6484-8.{{cite book}}: CS1 maint: location (link)
  2. ^Czerwik, Stephan (2002).Functional Equations and Inequalities in Several Variables. P O Box 128, Farrer Road, Singapore 912805:World Scientific Publishing Co. p. 410.ISBN 981-02-4837-7.{{cite book}}: CS1 maint: location (link)
  3. ^Ritt, J. F. (1916). "On Certain Real Solutions of Babbage's Functional Equation".The Annals of Mathematics.17 (3):113–122.doi:10.2307/2007270.JSTOR 2007270.
  4. ^Bellman, R. (1957). Dynamic Programming,Princeton University Press.
  5. ^Sniedovich, M. (2010). Dynamic Programming: Foundations and Principles,Taylor & Francis.

Bibliography

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External links

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