The lightcone bootstrap and the spectrum of the 3d Ising CFT

By David Simmons-Duffin. 2016

296 citations recorded by the source corpus.

We compute numerically the dimensions and OPE coefficients of several operators in the 3d Ising CFT, and then try to reverse-engineer the solution to crossing symmetry analytically. Our key tool is a set of new techniques for computing infinite sums of SL(2, ℝ$$ \mathrm{\mathbb{R}} $$) conformal blocks. Using these techniques, we solve the lightcone bootstrap to all orders in an asymptotic expansion in large spin, and suggest a strategy for going beyond the large spin limit. We carry out the first steps of this strategy for the 3d Ising CFT, deriving analytic approximations for the dimensions and OPE coefficients of several infinite families of operators in terms of the initial data {Δσ, Δϵ, fσσϵ, fϵϵϵ, cT}. The analytic results agree with numerics to high precision for about 100 low-twist operators (correctly accounting for O(1) mixing effects between large-spin families). Plugging these results back into the crossing equations, we obtain approximate analytic constraints on the initial data.

Subfields: Geometry and Topology, Nuclear and High Energy Physics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/47942d8bdbf1c9f590c6f5a143d69f1f0b4baf08

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Geometry and Topology

  1. David Simmons-Duffin
  2. S. Rychkov
  3. David Poland
  4. S. Caron-Huot
  5. A. Vichi
  6. Petr Kravchuk
  7. L. Rastelli
  8. Shai M. Chester

In Nuclear and High Energy Physics

  1. David Simmons-Duffin
  2. S. Rychkov
  3. David Poland
  4. A. Vichi
  5. L. Rastelli
  6. S. Caron-Huot
  7. Petr Kravchuk
  8. Shai M. Chester

In Statistics and Probability

  1. S. Rychkov
  2. David Simmons-Duffin
  3. S. Caron-Huot
  4. David Poland
  5. L. Rastelli
  6. A. Vichi
  7. Petr Kravchuk
  8. Bernardo Zan

Citations in the corpus