Skip to content
DraconiticResearch
Search Sources API
190,860 studies31 sourcesUpdated 8 min ago
PreprintarXiv licencearXiv

One Polynomial Field for Every Euler Step and the Flow: Polynomial Dynamics for P and PSPACE

Abstract

We construct, for each deterministic Turing machine that halts on all inputs, one polynomial vector field with rational coefficients that performs the same logical computation at unit Euler step, at every smaller or variable step in (0,1] with divergent sum, and along the flow. This unifies discrete-time and continuous-time computation by polynomial dynamics, which earlier characterizations treated separately. For a machine making T transitions in space H, a logical scale h=2−s with s=O(H) suffices, with physical time O(s(T+s)), drift disturbances up to h2K for a fixed exponent K, and 2Ks+3 fractional bits at unit step. On a fixed compact domain, polynomial time and robust eventual decision characterize P and PSPACE, respectively, with polynomial scale thresholds and no supplied stabilization horizon in the space case. Without sign, floor or conditional primitives, margin amplification at bounded speed, overlapping polynomial gates and interval-product estimates give the common realization, from which we derive shared logical traces, fixed-field PSPACE-complete prediction and a robust safety family with polynomial certificates common to all Euler steps and the flow.

Related

  1. The relativistic Euler-Poisson equation as a mean-field limit
    Immanuel Ben Porat
    arXivPreprintCC BY 4.0Full textAnalysis & PDEsarXiv
  2. Self-similar imploding solutions of the 1D compressible Euler equations with a far field cutoff
    Jack Luong, Scott Ramsey, Andrea L. Bertozzi +1
    arXivPreprintarXiv licenceFull textAnalysis & PDEsMathematical physicsarXiv
  3. Arc Kayles is PSPACE-complete
    Édouard Bonnet
    arXivPreprintarXiv licenceFull textCombinatorics & discrete mathematicsarXiv
  4. Periodic dynamics of transonic shocks in Euler-Poisson flows
    Peng Qu, Jiahui Wang
    arXivPreprintarXiv licenceFull textAnalysis & PDEsarXiv
  5. The Two-Level Poset Game is PSPACE-Complete
    Kengo Hashimoto
    arXivPreprintarXiv licenceFull textCombinatorics & discrete mathematicsarXiv
BibTeX
@misc{bournez2026polynomial,
  title = {{One Polynomial Field for Every Euler Step and the Flow: Polynomial Dynamics for P and PSPACE}},
  author = {Olivier Bournez},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.40025},
  eprint = {2610.40025},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.40025},
}
RIS
TY  - UNPB
TI  - One Polynomial Field for Every Euler Step and the Flow: Polynomial Dynamics for P and PSPACE
AU  - Olivier Bournez
PY  - 2026
DA  - 2026/10/29
PB  - arXiv
DO  - 10.48550/arxiv.2610.40025
UR  - https://arxiv.org/abs/2610.40025
AB  - We construct, for each deterministic Turing machine that halts on all inputs, one polynomial vector field with rational coefficients that performs the same logical computation at unit Euler step, at every smaller or variable step in (0,1] with divergent sum, and along the flow. This unifies discrete-time and continuous-time computation by polynomial dynamics, which earlier characterizations treated separately. For a machine making T transitions in space H, a logical scale h=2^−s with s=O(H) suffices, with physical time O(s(T+s)), drift disturbances up to h^2K for a fixed exponent K, and 2Ks+3 fractional bits at unit step. On a fixed compact domain, polynomial time and robust eventual decision characterize P and PSPACE, respectively, with polynomial scale thresholds and no supplied stabilization horizon in the space case. Without sign, floor or conditional primitives, margin amplification at bounded speed, overlapping polynomial gates and interval-product estimates give the common realization, from which we derive shared logical traces, fixed-field PSPACE-complete prediction and a robust safety family with polynomial certificates common to all Euler steps and the flow.
ER  -