For a prime and an integer the Fermat quotient is defined as
Let be the smallest valueof for which We want to understand how looks.
For instance, Granville conjectured Lenstra conjectures
Lenstra proved
Granville showed that
for .
How do we get upper bounds on ?
Main ideas: (Smooth numbers+ Equidistribution of multiplicative subgroups)
If is large, a lot of small numbers satisy . Then in fact, numbers with all prime factors less than (smooth numbers ) have to satisfy
But numbers which satisfy belong to the subgroup of -th powers inside of order . Thus we produce lot of elements of this subgroup inside an interval say . If is not too small enough compared to , we can see that the subgroup is almost equidistributed an contains the right number of elements in . This allows to get a control on how large can be. To get good bounds to need to take small. But then to establish equidistribution in very small intervals is hard. The quality of the result depends on how small we can afford to have equidistribution. Writing in terms of the Fourier transform it’s equivalent to get cancellation in short exponential sums over the subgroups of th powers. The degree of the exponential sum is quite big for standard finite field RH to gives cancellation. Hence one has to deal with exponentials sums like
These are called Heilbronn sums and can be estimated by using “polynomial method” type techniques (HeathBrown, Konyagin). Further improvements can be obtained by studying the distribution of multipilcaitve subgroups in short intervals (Bourgain, Konyagin, and Shparlinsk): By counting solutions to various restricted congruences equations.
These in turn can be studied using a variety of techniques: Double character sums (Friedlander Iwaniec), character sums twisted with divisor functions (Chang, Karatsuba), additive combinatorics (Sum-Product phenomenon-Bourgain)