Auditable Exact Lower Bounds for Trajectory QCQPs via a Rational Riccati Sweep

Exact-rational certification of trajectory quadratically constrained quadratic programs with neighboring-stage quadratic penalties and sampled keep-out constraints. A supplied rational multiplier gives a global lower bound through a bordered positive-semidefiniteness test; a separately checked feasible trajectory gives an upper bound. The paper proves a band-preserving rational Riccati-style sweep, distinguishes general bound verification from exact closure under rational-witness hypotheses, and reports selected numerical proposals and constructed closing families. Current implementations use dense storage. The certificate concerns the rational problem at its sampled states.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-08
DOI
https://doi.org/10.5281/zenodo.22668191
Primary Topic
Advanced Control Systems Optimization
Type
preprint
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preprint

Auditable Exact Lower Bounds for Trajectory QCQPs via a Rational Riccati Sweep

Adi Oltean
Zenodo (CERN European Organization for Nuclear Research)
Advanced Control Systems Optimization
preprint

Auditable Exact Lower Bounds for Trajectory QCQPs via a Rational Riccati Sweep

Adi Oltean
preprint en

Abstract

Exact-rational certification of trajectory quadratically constrained quadratic programs with neighboring-stage quadratic penalties and sampled keep-out constraints. A supplied rational multiplier gives a global lower bound through a bordered positive-semidefiniteness test; a separately checked feasible trajectory gives an upper bound. The paper proves a band-preserving rational Riccati-style sweep, distinguishes general bound verification from exact closure under rational-witness hypotheses, and reports selected numerical proposals and constructed closing families. Current implementations use dense storage. The certificate concerns the rational problem at its sampled states.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Advanced Control Systems Optimization
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