Edgeworth-type expansion for the one-point distribution of the KPZ fixed point with a large height at a prior location
Ron Nissim, Ruixuan Zhang

TL;DR
This paper derives an Edgeworth-type expansion for the distribution of the KPZ fixed point conditioned on a large height at an earlier time, revealing Gaussian-like limits and correction terms expressed via Tracy-Widom derivatives.
Contribution
It provides the first Edgeworth-type expansion for the KPZ fixed point's one-point distribution conditioned on a large height at an earlier time, detailing the correction terms beyond the leading Gaussian limit.
Findings
Conditional distribution converges to GUE Tracy-Widom distribution as height tends to infinity.
Next-order correction terms are derivatives of the Tracy-Widom distribution.
Different asymptotic behaviors are observed depending on whether the conditioning occurs at earlier or later times.
Abstract
We consider the Kardar-Parisi-Zhang (KPZ) fixed point with the narrow-wedge initial condition and investigate the distribution of conditioned on a large height at an earlier space-time point . As tends to infinity, we prove that the conditional one-point distribution of in the regime converges to the Gaussian Unitary Ensemble (GUE) Tracy-Widom distribution and that the next two lower-order error terms can be expressed as derivatives of the Tracy-Widom distribution. The lowe order expansion here is analogue to the Edgeworth expansion in the central limit theorem. These KPZ-type limiting behaviors are different from the Gaussian-type ones obtained in \cite{Liu-Wang22} where they study the finite-dimensional distribution of conditioned on a large…
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Taxonomy
TopicsFinancial Risk and Volatility Modeling · Insurance, Mortality, Demography, Risk Management · Bayesian Methods and Mixture Models
