2019
DOI: 10.1007/jhep12(2019)072
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Bootstrapping the 3d Ising model at finite temperature

Abstract: We estimate thermal one-point functions in the 3d Ising CFT using the operator product expansion (OPE) and the Kubo-Martin-Schwinger (KMS) condition. Several operator dimensions and OPE coefficients of the theory are known from the numerical bootstrap for flat-space four-point functions. Taking this data as input, we use a thermal Lorentzian inversion formula to compute thermal one-point coefficients of the first few Regge trajectories in terms of a small number of unknown parameters. We approximately determin… Show more

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Cited by 30 publications
(29 citation statements)
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“…However, this is insufficient if we want to study double-twist operators at finite spin when the anomalous dimension can be large, and the above approximation is no longer valid. In that case, we take a different approach and attempt to fit our approximate generating function from inverting operators of bounded twists to the exact form given in (3.35) [12,31]. For the case of σσσσ this method is very simple, we take the logarithmic derivative of the generating function and evaluate it at a fixed, small z,…”
Section: Exact Vs Approximate Generating Functionmentioning
confidence: 99%
See 1 more Smart Citation
“…However, this is insufficient if we want to study double-twist operators at finite spin when the anomalous dimension can be large, and the above approximation is no longer valid. In that case, we take a different approach and attempt to fit our approximate generating function from inverting operators of bounded twists to the exact form given in (3.35) [12,31]. For the case of σσσσ this method is very simple, we take the logarithmic derivative of the generating function and evaluate it at a fixed, small z,…”
Section: Exact Vs Approximate Generating Functionmentioning
confidence: 99%
“…It is also interesting to study the physics of condensed matter or other experimental systems away from their critical points. For example, transport properties or thermal coefficients of quantum critical systems at finite temperature can be computed using CFT data [31,[73][74][75][76][77]. These computations can now be pursued with much higher precision for O(2) quantum critical points, and one can try to make direct connections with experimental or quantum Monte Carlo data.…”
Section: Additional Applicationsmentioning
confidence: 99%
“…Because of the presence of multi-twist operators in the other channel, the LIF, naïvely applied, yields only an asymptotic expansion for anomalous dimensions at large spin. To understand finite spin, one can introduce a generating function C(z,h) that is well-defined at finite spin and perform numerical fits to extract anomalous dimensions, as in [27,33,34,99]. Dispersive functionals give an alternative way to control the sum over multi-twists and obtain well-defined results at finite spin.…”
Section: Jhep05(2021)243mentioning
confidence: 99%
“…It would be nice to use the analytic bootstrap at finite temperature [39][40][41] to compute the values of Υ and H xx and compare them with the predictions given in this work.…”
Section: Conductivity At Finite Temperaturementioning
confidence: 86%