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The Grothendieck Constant is Strictly Larger than Davie-Reeds' Bound

Chris Jones, Giulio Malavolta

Abstract

The Grothendieck constant $K_{G}$ is a fundamental quantity in functional analysis, with important connections to quantum information, combinatorial optimization, and the geometry of Banach spaces. Despite decades of study, the value of $K_{G}$ is unknown. The best known lower bound on $K_{G}$ was obtained independently by Davie and Reeds in the 1980s. In this paper we show that their bound is not optimal. We prove that $K_{G} \ge K_{DR} + 10^{-12}$, where $K_{DR}$ denotes the Davie-Reeds lower bound. Our argument is based on a perturbative analysis of the Davie-Reeds operator. We show that every near-extremizer for the Davie-Reeds problem has $Ω(1)$ weight on its degree-3 Hermite coefficients, and therefore introducing a small cubic perturbation increases the integrality gap of the operator.

The Grothendieck Constant is Strictly Larger than Davie-Reeds' Bound

Abstract

The Grothendieck constant is a fundamental quantity in functional analysis, with important connections to quantum information, combinatorial optimization, and the geometry of Banach spaces. Despite decades of study, the value of is unknown. The best known lower bound on was obtained independently by Davie and Reeds in the 1980s. In this paper we show that their bound is not optimal. We prove that , where denotes the Davie-Reeds lower bound. Our argument is based on a perturbative analysis of the Davie-Reeds operator. We show that every near-extremizer for the Davie-Reeds problem has weight on its degree-3 Hermite coefficients, and therefore introducing a small cubic perturbation increases the integrality gap of the operator.

Paper Structure

This paper contains 8 sections, 13 theorems, 82 equations, 2 figures.

Key Result

Theorem 1.1

$K_G \geq K_{DR} + 10^{-12}$.

Figures (2)

  • Figure 1: One-dimensional "square wave" examples of Davie--Reeds optimizers. In each example, $f=g=\mathop{\mathrm{sign}}\nolimits(x)$ outside the strip $[-C^*,C^*]$, while $g=-f$ inside the strip, and the breakpoints are chosen so that $\mathop{\mathrm{\mathbb{E}}}\limits_{x \sim {\cal N}(0,1)} xf(x) \bm{1}_{|x| \leq C^*} = 0$.
  • Figure 2: Plots of $F(C) := 4\phi(C)^2 - \lambda^* (4\Phi(-C) - 1)$ along with its first derivative, for $\lambda^* \approx 0.19748$. The only two roots of $F'$ are $C_- \approx 0.25573$ and $C_+ \approx 2.0582$.

Theorems & Definitions (25)

  • Theorem 1.1
  • Theorem 2.1: pisier2012grothendieck
  • Proposition 2.2
  • proof
  • Lemma 2.3
  • proof
  • Lemma 2.4
  • proof
  • Lemma 3.1
  • proof
  • ...and 15 more