functional equation

{{Short description|Equation whose unknown is a function}}

{{distinguish|Functional model}}

In mathematics, a functional equation

{{cite book | title=Functional Equations and Inequalities | last=Rassias | first=Themistocles M. | year=2000 | publisher=Kluwer Academic Publishers | location=3300 AA Dordrecht, The Netherlands | isbn=0-7923-6484-8 | page= 335 | url=https://books.google.com/books?id=tFTFBAAAQBAJ&q=%22Introduction+to+the+Theory+of+Functional+Equations+and+Inequalities%22 }} {{cite book |title=Functional Equations and Inequalities in Several Variables |last=Czerwik |first=Stephan |year=2002 |publisher=World Scientific Publishing Co. |location=P O Box 128, Farrer Road, Singapore 912805 |isbn=981-02-4837-7 |page= [https://archive.org/details/functionalequati00czer_083/page/n419 410] |url=https://archive.org/details/functionalequati00czer_083 |url-access=limited }}{{irrelevant citation|reason=What fact or sentence is being cited here? These citations don't make any sense.|date=March 2022}} is, in the broadest meaning, an equation in which one or several functions appear as unknowns. So, differential equations and integral equations are functional equations. However, a more restricted meaning is often used, where a functional equation is an equation that relates several values of the same function. For example, the logarithm functions are essentially characterized by the logarithmic functional equation \log(xy)=\log(x) + \log(y).

If the domain of the unknown function is supposed to be the natural numbers, the function is generally viewed as a sequence, and, in this case, a functional equation (in the narrower meaning) is called a recurrence relation. Thus the term functional equation is used mainly for real functions and complex functions. Moreover a smoothness condition is often assumed for the solutions, since without such a condition, most functional equations have very irregular solutions. For example, the gamma function is a function that satisfies the functional equation f (x + 1) = x f (x) and the initial value f (1) = 1. There are many functions that satisfy these conditions, but the gamma function is the unique one that is meromorphic in the whole complex plane, and logarithmically convex for {{mvar|x}} real and positive (Bohr–Mollerup theorem).

Examples

  • Recurrence relations can be seen as functional equations in functions over the integers or natural numbers, in which the differences between terms' indexes can be seen as an application of the shift operator. For example, the recurrence relation defining the Fibonacci numbers, F_{n} = F_{n-1}+F_{n-2}, where F_0=0 and F_1=1
  • The functional equation

f(s) = 2^s\pi^{s-1}\sin\left(\frac{\pi s}{2}\right)\Gamma(1-s)f(1-s)

is satisfied by the Riemann zeta function, as proved here. The capital {{math|Γ}} denotes the gamma function.

  • The gamma function is the unique solution of the following system of three equations:{{cn|date=March 2022}}
  • f(x)={f(x+1) \over x}
  • f(y)f\left(y+\frac{1}{2}\right)=\frac{\sqrt{\pi}}{2^{2y-1}}f(2y)
  • f(z)f(1-z)={\pi \over \sin(\pi z)}{{spaces|10}}(Euler's reflection formula)
  • The functional equation f\left({az+b\over cz+d}\right) = (cz+d)^k f(z) where {{math|a, b, c, d}} are integers satisfying ad - bc = 1, i.e.

\begin{vmatrix} a & b\\ c & d \end{vmatrix} = 1, defines {{mvar|f}} to be a modular form of order {{mvar|k}}.

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 the identity function) are inside the argument of the unknown functions to be solved for.

When it comes to asking for all solutions, it may be the case that conditions from mathematical analysis should be applied; for example, in the case of the Cauchy equation mentioned above, the solutions that are continuous functions are the 'reasonable' ones, while other solutions that are not likely to have practical application can be constructed (by using a Hamel basis for the real numbers as vector space over the rational numbers). The Bohr–Mollerup theorem is another well-known example.

=Involutions=

The involutions are characterized by the functional equation f(f(x)) = x. These appear in Babbage's functional equation (1820),{{Cite journal | doi = 10.2307/2007270| jstor = 2007270| title = On Certain Real Solutions of Babbage's Functional Equation| journal = The Annals of Mathematics| volume = 17| issue = 3| pages = 113–122| year = 1916| last1 = Ritt | first1 = J. F. | author1-link = Joseph Ritt}}

: f(f(x)) = 1-(1-x) = x \, .

Other involutions, and solutions of the equation, include

  • f(x) = a-x\, ,
  • f(x) = \frac{a}{x}\, , and
  • f(x) = \frac{b-x}{1+cx} ~ ,

which includes the previous three as special cases or limits.

Solution

One method of solving elementary functional equations is substitution.{{citation needed|date=March 2022}}

Some solutions to functional equations have exploited surjectivity, injectivity, oddness, and evenness.{{citation needed|date=March 2022}}

Some functional equations have been solved with the use of ansatzes, mathematical induction.{{citation needed|date=March 2022}}

Some classes of functional equations can be solved by computer-assisted techniques.{{vague|reason="Computer assisted" is far too vague. What kinds of techniques were these?|date=March 2022}}{{Cite journal|last=Házy|first=Attila| date=2004-03-01| title=Solving linear two variable functional equations with computer|journal=Aequationes Mathematicae| language=en| volume=67|issue=1|pages=47–62|doi=10.1007/s00010-003-2703-9|s2cid=118563768|issn=1420-8903}}

In dynamic programming a variety of successive approximation methodsBellman, R. (1957). Dynamic Programming, Princeton University Press.Sniedovich, M. (2010). Dynamic Programming: Foundations and Principles, Taylor & Francis. are used to solve Bellman's functional equation, including methods based on fixed point iterations.

See also

Notes

References

  • János Aczél, [https://books.google.com/books?id=JEB0BFvRwrcC Lectures on Functional Equations and Their Applications], Academic Press, 1966, reprinted by Dover Publications, {{ISBN|0486445232}}.
  • János Aczél & J. Dhombres, [https://books.google.com/books?id=8EWnEh18rVgC&q=%22Functional+Equations+in+Several+Variables%22 Functional Equations in Several Variables], Cambridge University Press, 1989.
  • C. Efthimiou, Introduction to Functional Equations, AMS, 2011, {{isbn|978-0-8218-5314-6}} ; [https://web.archive.org/web/20230603025341/http://www.msri.org/people/staff/levy/files/MCL/Efthimiou/100914book.pdf online].
  • Pl. Kannappan, [https://books.google.com/books?id=SdZoCM2OeuIC&dq=%22Functional+Equations+and+Inequalities+with+Applications%22&pg=PA1 Functional Equations and Inequalities with Applications], Springer, 2009.
  • Marek Kuczma, [https://books.google.com/books?id=tFTFBAAAQBAJ&q=%22Introduction+to+the+Theory+of+Functional+Equations+and+Inequalities%22 Introduction to the Theory of Functional Equations and Inequalities], second edition, Birkhäuser, 2009.
  • Henrik Stetkær, [https://books.google.com/books?id=JzS7CgAAQBAJ&dq=%22Functional+Equations+on+Groups%22&pg=PR5 Functional Equations on Groups], first edition, World Scientific Publishing, 2013.
  • {{cite book|author=Christopher G. Small|title=Functional Equations and How to Solve Them|url=https://books.google.com/books?id=2D2RYbb22nMC|date=3 April 2007|publisher=Springer Science & Business Media|isbn=978-0-387-48901-8}}