Vinogradov's mean-value theorem

Vinogradov's mean value theorem is an upper bound for J_{s,k}(X), the number of solutions to the system of k simultaneous Diophantine equations in 2s variables given by

x_1^j+x_2^j+\cdots+x_s^j=y_1^j+y_2^j+\cdots+y_s^j\quad (1\le j\le k)

with 1\le x_i,y_i\le X, (1\le i\le s). An analytic expression for J_{s,k}(X) is

J_{s,k}(X)=\int_{[0,1)^k}|f_k(\mathbf\alpha;X)|^{2s}d\mathbf\alpha

where

f_k(\mathbf\alpha;X)=\sum_{1\le x\le X}\exp(2\pi i(\alpha_1x+\cdots+\alpha_kx^k)).

A strong estimate for J_{s,k}(X) is an important part of the Hardy-Littlewood method for attacking Waring's problem and also for demonstrating a zero free region for the Riemann zeta-function in the critical strip.[1] Various bounds have been produced for J_{s,k}(X), valid for different relative ranges of s and k. The classical form of the theorem applies when s is very large in terms of k.

The conjectured form

By considering the X^s solutions where x_i=y_i, (1\le i\le s) we can see that J_{s,k}(X)\gg X^s. A more careful analysis (see Vaughan [2] equation 7.4) provides the lower bound

J_{s,k}\gg X^s+X^{2s-\frac12k(k+1)}.

The main conjectural form of Vinogradov's mean value theorem is that the upper bound is close to this lower bound. More specifically that for any \epsilon>0 we have

J_{s,k}(X)\ll X^{s+\epsilon}+X^{2s-\frac12k(k+1)+\epsilon}.

If s\ge k(k+1) this is equivalent to the bound

J_{s,k}(X)\ll X^{2s-\frac12k(k+1)+\epsilon}.

Similarly if  s\le k(k+1) the conjectural form is equivalent to the bound

J_{s,k}(X)\ll X^{s+\epsilon}.

Stronger forms of the theorem lead to an asymptotic expression for J_{s,k}, in particular for large s relative to k the expression J_{s,k}\sim \mathcal C(s,k)X^{2s-\frac12k(k+1)}, where \mathcal C(s,k) is a fixed positive number depending on at most s and k, holds.

Vinogradov's bound

Vinogradov's original theorem[3] showed that for fixed s,k with s\ge k^2\log (k^2+k)+\frac14k^2+\frac54 k+1 there exists a positive constant D(s,k) such that

J_{s,k}(X)\le D(s,k)(\log X)^{2s}X^{2s-\frac12k(k+1)+\frac12},

although a ground-breaking result, this falls short of the full conjectured form. Instead this demonstrates the conjectured form for \epsilon>\frac12.

Subsequent improvements

Vinogradov's approach was improved upon by Karatsuba [4] and Stechkin [5] who showed that for s\ge k there exists a positive constant D(s,k) such that

J_{s,k}(X)\le D(s,k)X^{2s-\frac12k(k+1)+\eta_{s,k}},

where

\eta_{s,k}=\frac12 k^2\left(1-\frac1k\right)^{\left[\frac sk\right]}\le k^2e^{-s/k^2}.

Note that for s>k^2(2\log k-\log\epsilon) we have \eta_{s,k}<\epsilon and so this proves that the conjectural form holds for s of this size.

The method can be sharpened further to prove the asymptotic estimate

J_{s,k}\sim \mathcal C(s,k)X^{2s-\frac12k(k+1)},

for large s in terms of k.

In 2012 Wooley [6] improved the range of s for which the conjectural form holds. He proved that for k\ge 2 and s\ge k(k+1) and for any \epsilon>0 we have

J_{s,k}(X)\ll X^{2s-\frac12k(k+1)+\epsilon}.

Ford and Wooley [7] have shown that the conjectural form is established for small s in terms of k. Specifically they show that for k\ge 4 and 1\le s\le \frac14(k+1)^2 for any \epsilon>0 we have

J_{s,k}(X)\ll X^{s+\epsilon}.

References

  1. E. C. Titchmarsh (rev. D. R. Heath-Brown): The theory of the Riemann Zeta-function, OUP
  2. R.C. Vaughan: The Hardy-Littlewood method, CUP
  3. I. M. Vinogradov, New estimates for Weyl sums, Dokl. Akad. Nauk SSSR 8 (1935), 195–198
  4. A. A. Karatsuba, The mean value of the modulus of a trigonometric sum, Izv. Akad. Nauk SSSR 37 (1973), 1203–1227.
  5. S. B. Stechkin, On mean values of the modulus of a trigonometric sum, Trudy Mat. Inst. Steklov 134 (1975), 283–309.
  6. T. D. Wooley, Vinogradov’s mean value theorem via efficient congruencing, Annals of Math. 175 (2012), 1575–1627.
  7. Kevin Ford and Trevor D. Wooley: On Vinogradov’s mean value theorem: strong diagonal behaviour via efficient congruencing http://www.math.uiuc.edu/~ford/wwwpapers/ec3vindiag.pdf