A Primer on the Functional Equation

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A Primer on the Functional Equation f (x + y) = f (x) + f (y) Kaushal Verma Let f : R R be a function satisfying f (x + y) = f (x) + f (y), (0.1) for all x, y R. Historical records at the École Polytechnique (see Appendix II in [2]) tell us that Cauchy s lecture on the 28th of November 1818 to the first year students was on finding all the possible continuous functions that satisfy (0.1). In addition to this, he also talked about some variations such as f (x + y) = f (x) f (y), for all x, y R. The functional equation (0.1) is now known as Cauchy s functional equation. Cauchy showed that every continuous solution of (0.1) is linear, i.e., given by f (x) = xf(1), while Darboux observed that continuity at just one point is enough to get the same conclusion. Moving ahead, in 1905, Hamel constructed discontinuous solutions using the notion of what is now known as a Hamel basis. In this note, we begin by recalling these well documented contributions and then discuss two very interesting short papers written independently by Banach and Sierpiński on this topic. Both appear in the first volume of Fundamenta Mathematicae, bear the same title and prove the same theorem that every Lebesgue measurable solution of (0.1) is also of the form f (x) = xf(1), but by different methods. In what follows, Lebesgue measure on the real line will be denoted by m. Kaushal Verma is with the Department of Mathematics, Indian Institute of Science, Bengaluru. His research interest is in complex analysis. 1 Continuous Solutions To discuss continuous solutions, first restrict f to Q, the rationals and regard f : Q R. By setting x = y = 0 in (0.1), observe that Keywords Continuous solutions, Hamel basis, Lebesgue measure, linear functionals, Cauchy s functional equation. RESONANCE October 2017 935

Since f is an odd function, it follows that f (x) = cx for all x Q. f (0) = 2 f (0) and hence f (0) = 0. Let c = f (1) and by appealing to (0.1) once again, note that f (2) = f (1) + f (1) = 2c. By induction, it follows that f (n) = cn for every integer n 1. But then 0 = f (0) = f (x + ( x)) = f (x) + f ( x), for every x R and this shows that f (x) = f ( x), i.e., f is an odd function. In particular, f ( n) = f (n) = cn, for n 1. It follows that f (n) = cn for every integer n. For a positive rational p/q Q, qf(p/q) = f (p/q) + f (p/q) +...+ f (p/q) = f (p) = cp where the second equality is a consequence of repeatedly applying (0.1). Therefore f (p/q) = cp/q and hence f (x) = cx for all positive rationals x. Since f is an odd function, it follows that f (x) = cx for all x Q. Thus, f : Q R is linear and note that all of this is a consequence of just (0.1) no further assumptions on f are needed. Now assume that f is continuous on R. Pickx R and choose a sequence of rationals p i /q i converging to x. By continuity of f at x, ( ) f (x) = f lim p i/q i = lim f (p i /q i ) = lim cp i /q i = cx, i i i and hence f is linear on R as claimed. That f is linear also follows if f is assumed to be merely continuous at a single point. Indeed, let f be continuous at x 0 R and let x R be arbitrary. Then lim f (h) = lim f (h x + x x 0 + x 0 ) h x h x = lim ( f (h x + x 0 ) + f (x x 0 )) h x = lim f (h x + x 0 ) + f (x x 0 ) h x = f (x 0 ) + f (x x 0 ) = f (x). 936 RESONANCE October 2017

Here, the second, third and fifth equalities are due to (0.1) while the fourth one holds by the continuity of f at x 0. Hence, f is continuous everywhere and by the above discussion, it must necessarily be linear. 2 Measurable Solutions are Linear: Banach s Proof As f is measurable, Lusin s theorem shows that there is a closed set F [0, 1] with m(f) 2/3 onwhich f is continuous. By the above discussion, it suffices to show that a measurable solution of (0.1) is continuous at x = 0. For this, it is enough to prove that for each ɛ>0, there exists a δ>0 such that f (h) f (0) = f (h) <ɛ, for all h (0,δ); note that as f is odd, it is enough to consider only positive values of h. Letɛ>0begiven.As f is measurable, Lusin s theorem shows that there is a closed set F [0, 1] with m(f) 2/3 on which f is continuous. As F is compact, f is uniformly continuous on F. Therefore, there exists δ (0, 1/3) such that f (x) f (y) <ɛ, whenever x, y F and x y <δ.fixh (0,δ) and let F h = {x h : x F}. By translation invariance, m(f h) = m(f) 2/3. Claim: The sets F and F h are not disjoint. If F and F h were disjoint, then 1 + h = m([ h, 1]) m(f (F h)) = m(f) + m(f h) 4/3, and hence h 1/3. But this contradicts 0 < h < δ < 1/3. Therefore, we may choose a F (F h) and then both a, a+h F. Since the distance between them is h which is less than δ, the uniform continuity of f on F along with (0.1) shows that This completes the proof. f (h) = f (a + h) f (a) <ɛ. RESONANCE October 2017 937

3 Measurable Solutions are Linear: Sierpiński s Proof Let P, Q R be sets of positive Lebesgue measure. Then there exist p P and q Q such that p q Q. Sierpiński s proof uses the following lemma that is of independent interest. Let P, Q R be sets of positive Lebesgue measure. Then there exist p P and q Q such that p q Q. To prove this, we may assume that both P, Q are bounded. Let I be a compact interval containing Q. By the definition of Lebesgue measure, there exists, for ɛ = m(p)m(q)/6m(i) > 0, a countable collection of intervals I 1, I 2,...whose union covers P and m(i i ) <. (3.1) i=1 By subdividing the intervals I i s, if necessary, we may suppose that the length of each I i is less than m(i). Since the sum of the lengths of the intervals I i forms a convergent series, there exists an integer N such that Note that i=n+1 m(i i ) <ɛ. (3.2) R = (P I 1 ) (P I 2 ) (P I N ), and R 1 = P \ R are both measurable (since P is) and R 1 is covered by the intervals I N+1, I N+2,... the sum of whose lengths is less than ɛ by (3.2). Consequently, and hence m(r) > m(p) ɛ. m(p) ɛ<m(r) m(p I 1 ) + m(p I 2 ) +...+ m(p I N ). (3.3) Note that m(p) ɛ = m(p)(1 m(q)/6m(i)) > 0. Now, if m(p I i ) m(i i ), 938 RESONANCE October 2017

for all 1 i N, then m(p I 1 ) + m(p I 2 ) +...+ m(p I N ) (m(i 1 ) + m(i 2 ) +...+ m(i N )) < m(p) ɛ, and this contradicts (3.3). Hence, there is an interval, say I k (1 k N) with m(p I k ) > m(i k ). We may also suppose that both end points of I k are rational by a suitably small adjustment. Let I k = [a, b] and consider those intervals of the form I k +nm(i k ) = [a+n(b a), b+n(b a)], n Z which intersect I. Since I is compact, there are only finitely many such translated intervals with this property. Also, note that a pair of these translated intervals are either disjoint or intersect only at the end points. Let s be the cardinality of the set S = {n Z : the interval [a + n(b a), b + n(b a)] intersects I}. A moment s thought shows that (s 2)m(I k ) m(i) and hence sm(i k ) m(i) + 2m(I k ) < 3m(I). Claim: The sets Q and ( n S (P Ik ) + nm(i k ) ) are not disjoint. Note that both sets are contained in the union of I k + nm(i k )asn varies in S. If these sets were disjoint, then sm(i k ) = m ( I k + nm(i k ) ) ( m(q) + m( (P Ik ) + nm(i k ) ) n S n S = m(q) + sm(p I k ) > m(q) + s m(i k ). Thus, m(q) < 2sɛm(I k )/() < 6ɛm(I)/m(P) which is false, as ɛ = m(p)m(q)/6m(i). RESONANCE October 2017 939

The set of reals R is an infinite dimensional vector space over the rationals Q. It follows that there exists q Q ( n S (P Ik )+nm(i k ) ). Since m(i k ) = b a Q, there exists p P whose distance from q is rational. Sierpiński now considers the function g(x) = f (x) xf(1), where f is a measurable function satisfying (0.1). It can be checked that g also satisfies (0.1) and hence g(x) = 0 for all x Q as explained earlier. It remains to show that g(x) = 0 for all x R. To this end, let A ± = {x R : ±g(x) > 0}. As g is an odd function, x x is a bijection between A + and A and hence they have the same Lebesgue measure. If m(a + ) = m(a ) > 0, the previous lemma shows that there are points a + A + and a A such that a + a Q. Therefore g(a + a ) = 0. But then g(a + a ) = g(a + ) g(a ) and this would mean that g(a + ) = g(a ) which is a contradiction. Hence, A + and A have measure zero and so does their union A. The function g vanishes precisely on R \ A. If there were a point a R with g(a) 0, then the set H = {x R : g(x + a) = 0}, which is obtained by merely translating R\A by a units, must have positive measure since Lebesgue measure is translation invariant and R \ A has positive measure. On the other hand, for x H, g(x) = g(a) 0, by (0.1) and so x A. This implies that H A and hence m(h) = 0. Contradiction! 4 Discontinuous Solutions The set of reals R is an infinite dimensional vector space over the rationals Q. By using the axiom of choice, there exists a collection of reals {r α } such that every x R can be expressed uniquely as a finite linear combination of some of the r α s, i.e., x = m λ i r αi i=1 940 RESONANCE October 2017

where the λ i s are in Q and m depends on x. The collection {r α } forms a Hamel basis for R over Q. Define a function f on the set {r α } by setting f (r α ) = s α, where {s α } is an arbitrary collection of reals. Extend f to all of R by linearity. Then f satisfies (0.1) as can be checked. This solution cannot be continuous, or for that matter measurable, since the only solutions are of the form f (x) = cx for some c and this can only happen if f (x)/x is constant for all x. This means that s α /r α = c for all α which is certainly not always true since the choice of s α is entirely up to us. We conclude by observing that the graphs of such solutions to the Cauchy functional equation are dense in R 2.Letf be a nonlinear solution to (0.1). Choose non-zero reals x 1, x 2 such that f (x 1 )/x 1 f (x 2 )/x 2. The vectors (x 1, f (x 1 )) and (x 2, f (x 2 )) are linearly independent over R and so they span R 2, i.e., an arbitrary (x, y) R 2 can be written as (x, y) = c 1 (x 1, f (x 1 )) + c 2 (x 2, f (x 2 )), for real constants c 1, c 2. Choose rational sequences a n, b n converging to c 1, c 2 respectively. The sequence a n (x 1, f (x 1 ))+b n (x 2, f (x 2 )) evidently converges to (x, y). It remains to note that each point a n (x 1, f (x 1 )) + b n (x 2, f (x 2 )) belongs to the graph of f since by (0.1). f (a n x 1 + b n x 2 ) = a n f (x 1 ) + b n f (x 2 ), Suggested Reading [1] S Banach, Sur l équation fonctionnelle f (x + y) = f (x) + f (y), Fundamenta Mathematicae, Vol.1, 1920, available at http://matwbn.icm.edu.pl/ksiazki/fm/fm1/fm1115.pdf [2] B Belhoste, Augustin Louis Cauchy: A Biography, Springer Verlag, 1991. [3] G Hamel, Eine Basis Zahlen und die unstetigen Lösungen der Funktionalgleichung: f (x) + f (y) = f (x + y), Math. Ann., Vol.60, pp.459 462, 1905. [4] W Sierpiński, Sur l équation fonctionnelle f (x + y) = f (x) + f (y), Fundamenta Mathematicae, Vol.1, 1920, available at http://matwbn.icm.edu.pl/ksiazki/fm/fm1/fm1114.pdf Address for Correspondence Kaushal Verma Department of Mathematics Indian Institute of Science Bangalore 560 012, India. Email: kverma@iisc.ac.in RESONANCE October 2017 941