跳到正文
研踪PaperTrail
← 研踪 PaperTrail

arXiv:2610.05570 · v3

Poisson-GENERIC Neural Operators: Exact Metriplectic Structure in Function Space via Casimir Entropies

首次提交 2026-10-05 06:06
版本更新 2026-11-07 22:08
雷达观测 2026-11-10 11:14
arXiv ↗PDF ↗

摘要

Existing thermodynamically consistent neural operators enforce GENERIC degeneracy by projecting the reversible operator, introducing state dependence without guaranteeing Jacobi. We instead use a compatible Lie--Poisson pencil $L=αD+λ(uD+Du)$ for nonlinear transport and constant Poisson multipliers otherwise. Augmenting the observed field $u$ with a latent entropy density $s$ makes $S=\int s$ a Casimir, so $L\,δS/δz=0$ without projection. The energy combines a fixed mechanical quadratic, a learned gauge-free potential, and a convex internal energy; the friction operator $M=AA^\top$ enforces $M\,δE/δz=0$ pointwise and supports diffusion and damping without a separate transport generator. Skewness, positivity, and both degeneracies hold for any parameters; the continuum pencil satisfies Jacobi, verified on the alias-free band; the closed-form heat and damped-wave friction operators are representable; physical energy is bounded under coercivity assumptions; and a discrete-gradient integrator preserves both laws in discrete time. On four PDEs in 1D and 2D with three backbones (FNO, Transolver, CNO), at equal optimizer steps the model wins 62/72 seed-level comparisons against unconstrained baselines, recovers the exact transport and wave symbols, matches heat and Burgers dissipation within 12\%, and dissipates nothing on advection; at equal wall-clock the unconstrained FNO is the more accurate ten-frame surrogate. What the structure gives at any budget is the energy balance: over a hundred frames, in and out of distribution, the model never raises the physical energy and conserves it where dissipation vanishes, whereas the unconstrained FNO loses a quarter of a conserved energy off distribution and projected GENERIC-FNO creates energy on most frames. Late-time under-damping on heat and explicit-integrator divergence on the wave are reported as limits.

作者备注:Preprint. Under Review

AI 论文解读

基于摘要 · 非全文审阅

此版本尚未生成 AI 解读。解读由后台任务生成并按论文版本保存,登录后共享已有结果。

版本差异

目前只观测到一个版本,无法比较变化。之后收录新版本时,会在这里对照标题、作者、分类和摘要。

观测到的版本

相邻记录可能跳过中间版本;首次发现 v2 及以上也会标为版本更新。

v3 · 2026-11-07 22:08 · 最新观测版本

Poisson-GENERIC Neural Operators: Exact Metriplectic Structure in Function Space via Casimir Entropies

Existing thermodynamically consistent neural operators enforce GENERIC degeneracy by projecting the reversible operator, introducing state dependence without guaranteeing Jacobi. We instead use a compatible Lie--Poisson pencil $L=αD+λ(uD+Du)$ for nonlinear transport and constant Poisson multipliers otherwise. Augmenting the observed field $u$ with a latent entropy density $s$ makes $S=\int s$ a Casimir, so $L\,δS/δz=0$ without projection. The energy combines a fixed mechanical quadratic, a learned gauge-free potential, and a convex internal energy; the friction operator $M=AA^\top$ enforces $M\,δE/δz=0$ pointwise and supports diffusion and damping without a separate transport generator. Skewness, positivity, and both degeneracies hold for any parameters; the continuum pencil satisfies Jacobi, verified on the alias-free band; the closed-form heat and damped-wave friction operators are representable; physical energy is bounded under coercivity assumptions; and a discrete-gradient integrator preserves both laws in discrete time. On four PDEs in 1D and 2D with three backbones (FNO, Transolver, CNO), at equal optimizer steps the model wins 62/72 seed-level comparisons against unconstrained baselines, recovers the exact transport and wave symbols, matches heat and Burgers dissipation within 12\%, and dissipates nothing on advection; at equal wall-clock the unconstrained FNO is the more accurate ten-frame surrogate. What the structure gives at any budget is the energy balance: over a hundred frames, in and out of distribution, the model never raises the physical energy and conserves it where dissipation vanishes, whereas the unconstrained FNO loses a quarter of a conserved energy off distribution and projected GENERIC-FNO creates energy on most frames. Late-time under-damping on heat and explicit-integrator divergence on the wave are reported as limits.

查看此版本解读 →查看此版本原文 ↗