Past exam of the mathematics course of the University of Cambridge 2003 iii Paper 25 1 Solution Created 2026-10-03 Updated 2026-10-14
We give a spectral proof of square-difference recurrence for finite colourings, proving the auxiliary results it uses. Extend the colouring arbitrarily to nonpositive integers, and let be the indicator of colour . By successively taking subsequences of the interval lengths, followed by a diagonal subsequence, we may arrange that all the limitsexist, for every integer . This uses only sequential compactness of bounded real sequences: list the countably many quantities, choose a convergent subsequence for each in turn, and take the diagonal. All limits below are along this common subsequence. We have , , and . Translating a fixed interval endpoint changes a normalized average by .
The sequence is a positive-definite function on . Indeed, for finitely many complex numbers ,We next prove the required Bochner–Herglotz theorem for this sequence. The trigonometric polynomialis nonnegative by positive definiteness, and its integral on the circle is . Thus is a probability measure. Such measures on a compact interval have a weakly convergent subsequence. For completeness, take a diagonal subsequence on all rational points of their nondecreasing distribution functions. The right-continuous extension of the limiting rational values is a distribution function and defines a probability measure by its interval increments. At its continuity points the original distribution functions converge, by sandwiching between rational endpoints. Approximating continuous functions by step functions with such endpoints proves convergence of their integrals. Identify the interval endpoints to obtain a measure on the circle. This proves the compactness of probability measures on a compact metric space in the case needed here.
For a fixed , the Fourier coefficient of is once . Taking the weak limit therefore supplies a positive probability measure such thatNo spectral representation has been assumed without proof.
Its atom at zero has positive mass. For each ,The last inequality is Cauchy-Schwarz on each colour's interval average. The integrand is at most one and tends to zero for every nonzero point of the circle, by the geometric-series formula, while it is one at zero. Bounded convergence gives
We also prove that quadratic phases with an irrational coefficient average to zero. For bounded by one, extended by zero, Cauchy-Schwarz applied to yieldsThis identity follows by expanding the square of the inner shifted sum and grouping pairs by their difference; it is the needed finite Van der Corput inequality for finite scalar sequences. If and is irrational, each fixed nonzero lag correlation is a geometric sum with frequency , hence is bounded independently of . The geometric bound follows from with . Dividing by and letting tend to infinity gives . Letting tend to infinity proves the asserted cancellation. Rational coefficients instead give periodic sequences and therefore have convergent averages.
Choose a finite set of rational points of the circle, including zero, such that the total mass of the remaining rational atoms is below . This is possible because the rational points are countable and is finite. Let be a common multiple of their denominators. For , for every integer . For irrational the preceding cancellation applies to ; at every other rational point the average exists by periodicity and has modulus at most one. Bounded convergence consequently givesHere the inequality takes real parts; itself is real. Thus some has . By its definition as a limit of nonnegative averages, at least one actual positive has . The same colour occurs at both points, provingThe arbitrary extension to nonpositive integers played no role in this final pair.