Exact ULD / FORS
A paper-first mathematical case study: read the theorem, the derivation route, and the hidden prerequisites before opening formal infrastructure.
Exact source theorem
Theorem 3.2(ii) (High-accuracy simulation of ULD)
Reading. Read the accuracy guarantee together with the complexity/rate: the source assumptions and its notion of oracle cost are part of the result.
Primary-source audit complete. The displayed theorem statement is the controlling mathematical contract for this case.
proof in Appendix C
FORS simulation error (Lemma C.3).
Continuous ULD contraction under LSI.
Rényi composition/interpolation (Lemma C.4).
What must be true before the rate can be read
Model and geometry
- The potential is strongly convex and smooth in the sense stated by the cited theorem.
- The condition number is the source's ratio of smoothness to strong-convexity scales.
- Warm-start assumptions are theorem-specific; when a result assumes bounded chi-squared divergence, that assumption is not hidden by the final TV guarantee.
Analytic / proof prerequisites
- continuous ULD contraction in Rényi divergence
- Girsanov path-density interface
- FORS unbiased log-density-ratio estimator
- single-step/path-to-terminal Rényi simulation error
- Rényi composition/interpolation
ASTIS rigorous LaTeX
Lean formalization
This fold is intentionally quiet while the source statement, proof route, and assumptions are being completed case by case. A source-facing Lean theorem will appear here only after it compiles and its statement has been matched to the audited source.
References and provenance
- Chen, Chewi, Rakhlin, Zhang, Exact simulation of diffusions and improved algorithms for log-concave sampling — Theorem 3.2(ii) (High-accuracy simulation of ULD)
- Chen–Chewi–Rakhlin–Zhang (2026), Theorem 3.2
ASTIS-SW-SETTING-STRONGLY-LOG-CONCAVE-SMOOTH-BEST-UPPER-EXACT-ULD-FORS · source snapshot 2de79774ed385e90