Cauchy's functional equation
Cauchy's functional equation is the functional equation of linear independence:
Solutions to this are called additive functions. Over the rational numbers, it can be shown using elementary algebra that there is a single family of solutions, namely for any rational constant . Over the real numbers, , now with an arbitrary real constant, is likewise a family of solutions; however there can exist other solutions that are extremely complicated. However, any of a number of regularity conditions, some of them quite weak, will preclude the existence of these pathological solutions. For example, an additive function is linear if:
- is continuous (proven by Cauchy in 1821). This condition was weakened in 1875 by Darboux who showed that it was only necessary for the function to be continuous at one point.
- is monotonic on any interval.
- is bounded on any interval.
- is Lebesgue measurable.
On the other hand, if no further conditions are imposed on , then (assuming the axiom of choice) there are infinitely many other functions that satisfy the equation. This was proved in 1905 by Georg Hamel using Hamel bases. Such functions are sometimes called Hamel functions.[1]
The fifth problem on Hilbert's list is a generalisation of this equation. Functions where there exists a real number such that are known as Cauchy-Hamel functions and are used in Dehn-Hadwiger invariants which are used in the extension of Hilbert's third problem from 3-D to higher dimensions.[2]
Solutions over the rational numbers
A simple argument, involving only elementary algebraic manipulation, demonstrates that the set of additive maps is identical to the set of linear maps.
Theorem: Let be an additive function. Then is linear.
Proof: We want to prove that any solution to Cauchy's functional equation, , takes the form . It is convenient to consider the cases .
Case I: ()
Setting , we conclude that
- .
Case II: ()
By repeated application of Cauchy's equation to , we obtain
Substitution of by in (*), and multiplication of the result by , where , yields
Application of (*) to the left-hand side of (**) then affords
- ,
where is an arbitrary rational constant.
Case III: ()
Setting in the functional equation and recalling that , we obtain
- .
Combining this with the conclusion drawn for the positive rational numbers (Case II) gives
- .
Considered together, the three cases above allow us to conclude that the complete solutions of Cauchy's functional equation over the rational numbers are given by:
Properties of linear solutions over the real numbers
We prove below that any other solutions must be highly pathological functions. In particular, we show that any other solution must have the property that its graph is dense in , i.e. that any disk in the plane (however small) contains a point from the graph. From this it is easy to prove the various conditions given in the introductory paragraph.
Suppose without loss of generality that , and for some .
Then put .
We now show how to find a point in an arbitrary circle, centre , radius where .
Put and choose a rational number close to with:
Then choose a rational number close to with:
Now put:
Then using the functional equation, we get:
Because of our choices above, the point is inside the circle.
Existence of nonlinear solutions over the real numbers
The linearity proof given above also applies to , where is a scaled copy of the rationals. This shows that the only linear solutions are permitted when the domain of is restricted to such sets. Thus, in general, we have for all . However, as we will demonstrate below, highly pathological solutions can be found for functions based on these linear solutions, by viewing the reals as a vector space over the field of rational numbers. Note, however, that this method is nonconstructive, relying as it does on the existence of a (Hamel) basis for any vector space, a statement proved using Zorn's lemma. (In fact, the existence of a basis for every vector space is logically equivalent to the axiom of choice.)
To show that solutions other than the ones defined by exist, we first note that because every vector space has a basis, there is a basis for over the field , i.e. a set with the property that any can be expressed uniquely as , where is a finite subset of (i.e., ), and each . We note that because no explicit basis for over can be written down, the pathological solutions defined below likewise cannot be expressed explicitly.
As argued above, the restriction of to must be a linear map for each . Moreover, because for , it is clear that is the constant of proportionality. In other words, is the map . Since any can be expressed as a unique (finite) linear combination of , and is additive, is well-defined for all and is given by:
- .
It is easy to check that is a solution to Cauchy's functional equation given a definition of on the basis elements, . Moreover, it is clear that every solution is of this form. In particular, the solutions of the functional equation are linear if and only if is constant over all . Thus, in a sense, despite the inability to exhibit a nonlinear solution, "most" (in the sense of cardinality[3]) solutions to the Cauchy functional equation are actually nonlinear and pathological.
References
- Kuczma (2009), p.130
- V.G. Boltianskii (1978) "Hilbert's third problem", Halsted Press, Washington
- It can easily be shown that ; thus there are functions , each of which could be extended to a unique solution of the functional equation. On the other hand, there are only solutions that are linear.
- Kuczma, Marek (2009). An introduction to the theory of functional equations and inequalities. Cauchy's equation and Jensen's inequality. Basel: Birkhäuser. ISBN 9783764387495.
External links
- Solution to the Cauchy Equation Rutgers University
- The Hunt for Addi(c)tive Monster
- Martin Sleziak; et al. (2013). "Overview of basic facts about Cauchy functional equation". StackExchange. Retrieved 20 December 2015.