Equations of motion (current model) and observables¶
Audience: readers who want the model equations and what is measured/exported.
We evolve correlation \(C(t,t')\) and response \(R(t,t')\) after a quench on the non-equidistant grid \(t\ge t'\). Currently, DYNAMITE has the mixed spherical \(p\)-spin equations hardcoded, matching the definitions in Lang–Sachdev–Diehl (Phys. Rev. Lett. 135, 247101 (2025), doi:10.1103/z64g-nqs6).
Mixed spherical p-spin EOMs (paper definitions)¶
Let the memory kernels be functionals of C and R with p- and q-body terms and spherical constraint enforced via a Lagrange multiplier µ(t). The equations read schematically
with model-specific kernels (for the mixed spherical \(p\)-spin model) of the form
where
and the Lagrange multiplier of the spherical constraint
Notes¶
- The spherical constraint fixes \(\mu(t)\) such that \(C(t,t)=1\).
- The concrete prefactors and any thermal/noise terms follow the conventions published in Phys. Rev. Lett.; DYNAMITE implements those definitions directly.
- The exact expressions and units match the paper; see source under
include/EOMs/for the hardcoded operators used at runtime. - The non-stationary (aging) regime requires both time integrals and thus benefits from the sparse 2D grid and renormalized history.
Stored fields¶
QKv,QRv: discretized correlation/response on the sparse griddQKv,dQRv: time derivativest1grid: time grid values used by the integratorrvec,drvec: reduced observables stored along the diagonal
See include/EOMs/ and include/interpolation/ for algorithmic details.