Statistical Physics of the Polarised IKKT Matrix Model
Sean A. Hartnoll, Jun Liu
TL;DR
The paper studies the polarised IKKT matrix model as a canonical partition function with deformation parameter $\Omega$ acting as an inverse temperature. Using supersymmetric localisation, the partition function is rewritten as a sum over SU(2) representations with distinct on-shell actions, allowing a detailed exploration of the competition between maximally irreducible fuzzy-sphere saddles and highly reducible, almost-trivial saddles. Numerical evidence reveals a first-order large-$N$ phase transition at $\left(\frac{3 \Omega^2 N}{2^8}\right)^2 \approx 0.58$, separating a high-$\Omega$ D1-brane dominated regime from a low-$\Omega$ D-instanton gas regime. The authors develop intermediate analyses via Casimir distributions and a grand-canonical treatment, and construct a fivebrane saddle in a cavity background to connect representation content to spacetime brane charges, outlining the regimes where probe branes or supergravity descriptions are valid. Overall, the work illuminates how holographic spacetime data emerge from partitions of the D-instanton charge and clarifies the limitations of semi-classical backgrounds in this matrix-model setting.
Abstract
The polarised IKKT matrix model is the worldpoint theory of $N$ D-instantons in a background three-form flux of magnitude $Ω$, and promises to be a highly tractable model of holography. The matrix integral can be viewed as a statistical physics partition function with inverse temperature $Ω^4$. At large $Ω$ the model is dominated by a matrix configuration corresponding to a 'polarised' spherical D1-brane. We show that at a critical value of $Ω^2 N$ the model undergoes a first order phase transition, corresponding to tunneling into a collection of well-separated D-instantons. These instantons are the remnant of a competing saddle in the high $Ω$ phase corresponding to spherical $(p,q)$ fivebranes. We use a combination of numerical and analytical arguments to capture the different regimes of the model.
