MathLabs

Worked solution: Potential automorphy of symmetric powers proves the Sato–Tate conjecture (2011)

Step 8 of 8: Conclusion: the Sato–Tate measure and its consequences
In plain words

With the analytic hypothesis of Serre's criterion now met for every n≥1n \ge 1, the chain of reductions from Step 2 closes: the angles θp\theta_p really do equidistribute according to the Sato–Tate measure, for every non-CM elliptic curve over the rational numbers.

The proof's blueprint — realize a hard object inside a family of geometric shapes, borrow automorphy from a special member of that family, then transfer it back — has since become a standard tool in the Langlands program, and Richard Taylor received the 2015 Breakthrough Prize in Mathematics for this and related work.

θp∼2πsin⁡2θ dθ on [0,π](Sato–Tate conjecture proved)\theta_p \sim \frac{2}{\pi}\sin^2\theta \, d\theta \text{ on } [0,\pi] \qquad \text{(Sato–Tate conjecture proved)}
Detailed analysis

Combining Steps 1–7: for every non-CM elliptic curve E/QE/\mathbb{Q}, the symmetric power LL-functions L(SymnE,s)L(\mathrm{Sym}^n E, s) are holomorphic and non-vanishing on Re(s)≥1\mathrm{Re}(s) \ge 1 for every n≥1n \ge 1 (Steps 4–7), so by Serre's criterion (Step 2) the angles θp\theta_p equidistribute on [0,π][0,\pi] with respect to the measure 2πsin⁡2θ dθ\frac{2}{\pi}\sin^2\theta\,d\theta, establishing the Sato–Tate conjecture (Clozel–Harris–Shepherd-Barron–Taylor 2008; Barnet-Lamb–Geraghty–Harris–Taylor 2011).

The method — potential automorphy via auxiliary Calabi–Yau families combined with automorphy lifting theorems — proved far more broadly applicable than Sato–Tate alone: Barnet-Lamb, Gee, and Geraghty extended it to Hilbert modular forms over totally real fields, and the general potential automorphy theorems of Barnet-Lamb, Gee, Geraghty, and Taylor (2014) now underlie many results throughout the Langlands program.

Sato–Tate for higher genus curves and other generalizations, predicted by the random matrix model of Katz and Sarnak using larger compact groups such as USp(2n)\mathrm{USp}(2n), remain open, marking the current frontier of this line of research.

Terms in this step
random matrix model (Katz–Sarnak)
A framework of Nick Katz and Peter Sarnak conjecturally matching the distribution of Frobenius-type data in families of algebraic varieties to eigenvalue distributions of random matrices in a compact Lie group, such as SU(2)\mathrm{SU}(2) for elliptic curves or USp(2n)\mathrm{USp}(2n) for higher-genus curves.
Knowledge used in this step