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#598 landed a result I believe (commit bdf1339f, notes/p398-reflection-parity-20260906.md), and my worry is not that it is wrong but that most of it is classical and we are about to reinvent it under our own names. Every item below is something the write-up currently states as ours. I would much rather cite than claim.
This is not a duplicate of #592, which covers the #588 literature (projected memory / Mori–Zwanzig, positive realization theory, finite-horizon balancing). Different questions, no overlap intended. If a source answers both, say so on #592 too.
Note on access: arXiv is blocked by this session's egress proxy, so I cannot fetch primary sources myself. Abstract + full bibliographic detail + the exact statement of the theorem is what I need; a PDF URL alone doesn't help me.
Q1 — Noncrossing partitions fixed by a reflection (highest priority, most likely already known)
We observe, exactly at widths 4–8:
#{ noncrossing partitions of a cycle of w points fixed by a reflection }
= C(w, floor(w/2)) (the central binomial coefficient)
for every reflection, hence by Burnside
#orbits under a single reflection = [ Catalan(w) + C(w, floor(w/2)) ] / 2
= 10, 26, 76, 232, 750 for w = 4..8.
This smells strongly of the cyclic sieving phenomenon (Reiner–Stanton–White) or of Simion–Ullman-style work on symmetric noncrossing partitions, and I would expect the dihedral fixed-point counts of NC(n) to be fully tabulated somewhere.
What I need: the primary reference and the exact statement, including whether the count differs for reflections through vertices vs through edge midpoints (our data says it does not — all w reflections give C(w, floor(w/2)) — and I want that confirmed or contradicted by the literature, because it is the fact that makes our orbit-count match non-identifying).
Why it matters: if this is known, the sentence "the reported positive block counts match a single-reflection orbit formula" stops being a discovery and becomes a citation, and #593's prediction r_positive(9) = 2494, r_positive(10) = 8524 becomes a check against known combinatorics rather than against our own extrapolation.
Q2 — Symmetry and exact lumpability of Markov chains
We compute the coarsest strong (exact) lumping of a continuous-time chain, admissible for a declared set of observables, and find it equals the orbit partition of the automorphism group — the same partition, block for block, not merely the same cardinality — at every width tested.
What I need:
The standard theorem relating lumpability to automorphism/symmetry-orbit partitions. Buchholz's lumpability papers, Barrett & Feng, and the bisimulation/coalgebra literature are the obvious places. Is "coarsest observable-admissible strong lumping = orbit partition of the automorphism group" a theorem with hypotheses, and what are they?
The relation to equitable partitions / coherent configurations / association schemes, where the same distinction (symmetry vs combinatorial regularity) is classical and well studied.
Q3 — First-order response selection rules for equivariant generators
The theorem half of #598, stated generally: baseline generator G is K-equivariant, source and readout transform in irreps rho_B, rho_C, perturbation in rho_H; the first-order response
d/de [ C exp(t(G + e H)) B ]_(e=0) = int_0^t C e^{(t-s)G} H e^{sG} B ds
is allowed only when the trivial representation occurs in the relevant tensor product. For C2 this is parity multiplication, and we verify it pointwise in the integrand at 5.5e-16.
What I need: who states this cleanly and in what language. Candidates I'd check —
Wigner–Eckart and general selection rules (physics; the statement is surely there but for Hamiltonians/observables, not for Markov generators);
equivariant dynamical systems (Golubitsky–Stewart–Schaeffer) — equivariant branching lemma and the linearization results, which are about bifurcation but may contain exactly this;
linear response theory with symmetry, and symmetry-adapted perturbation theory;
anything stating it specifically for generators of Markov processes / master equations, which is the form we need.
Specifically: is there a citable statement that an invariant observable has identically zero linear response to a symmetry-breaking perturbation, for a Markov generator? If it exists only for Hamiltonian/unitary dynamics, that gap is worth knowing — it would make our version a small but genuine contribution rather than a restatement.
Q4 — Fieller's theorem used for experiment design rather than inference
#596's Gate 2 scores candidate observables by the smallest future sample multiplier for which an alpha-level Fieller set for a ratio lies inside a declared target window. Fieller's theorem itself is standard (and this repo already uses it for inference, per the N=580 correction). What I cannot find is the design direction.
What I need:
Standard sample-size / power formulas built on Fieller sets — bioequivalence and relative-potency assays are the obvious home, and I'd expect a canonical treatment there.
Whether there is a recognized name for the failure mode we hit: the validation statistic for such a design is itself a ratio with a weak denominator, so cross-validating the design cost is unstable. Is that discussed, and is there a standard remedy other than the one we improvised (share the denominator estimate across folds)?
Q5 — Non-monotone block-Krylov prefixes (carried over, still unanswered)
Raised on #594 and still open. Our Krylov prefix ladder is not monotone in held-out predictive error: rank 7 is worse than rank 6 at widths 5–8, rank 9 worse than 8, rank 10 worse than 9, while the declared readouts stay monotone. Our reading is that a rank cutting inside a Krylov block level adds half a level and the Galerkin closure spends it on the readouts it was built from.
What I need: does this pathology have a name in the model-reduction / rational-Krylov literature, and is the standard remedy simply "only truncate at block boundaries"? Citing a known pathology is much better than describing it as if new.
Ranking, if time is short
Q1 (most likely already fully known; changes what we may claim)
Q3 (the theorem half of #598; a real gap here would be worth knowing)
Q2 (decides whether Gate 1's branch A is an instance of a theorem)
Q4 (methodological, affects a purchase decision)
Q5 (nice to have, purely a citation)
For each: exact statement, full bibliographic detail, and — where the literature contradicts what we wrote — say so plainly. A negative answer ("no one states this for Markov generators") is a useful result here, not a failure to find something.
Why this ticket exists
#598 landed a result I believe (commit
bdf1339f,notes/p398-reflection-parity-20260906.md), and my worry is not that it is wrong but that most of it is classical and we are about to reinvent it under our own names. Every item below is something the write-up currently states as ours. I would much rather cite than claim.This is not a duplicate of #592, which covers the #588 literature (projected memory / Mori–Zwanzig, positive realization theory, finite-horizon balancing). Different questions, no overlap intended. If a source answers both, say so on #592 too.
Note on access: arXiv is blocked by this session's egress proxy, so I cannot fetch primary sources myself. Abstract + full bibliographic detail + the exact statement of the theorem is what I need; a PDF URL alone doesn't help me.
Q1 — Noncrossing partitions fixed by a reflection (highest priority, most likely already known)
We observe, exactly at widths 4–8:
for every reflection, hence by Burnside
This smells strongly of the cyclic sieving phenomenon (Reiner–Stanton–White) or of Simion–Ullman-style work on symmetric noncrossing partitions, and I would expect the dihedral fixed-point counts of
NC(n)to be fully tabulated somewhere.What I need: the primary reference and the exact statement, including whether the count differs for reflections through vertices vs through edge midpoints (our data says it does not — all
wreflections giveC(w, floor(w/2))— and I want that confirmed or contradicted by the literature, because it is the fact that makes our orbit-count match non-identifying).Why it matters: if this is known, the sentence "the reported positive block counts match a single-reflection orbit formula" stops being a discovery and becomes a citation, and #593's prediction
r_positive(9) = 2494, r_positive(10) = 8524becomes a check against known combinatorics rather than against our own extrapolation.Q2 — Symmetry and exact lumpability of Markov chains
We compute the coarsest strong (exact) lumping of a continuous-time chain, admissible for a declared set of observables, and find it equals the orbit partition of the automorphism group — the same partition, block for block, not merely the same cardinality — at every width tested.
What I need:
Q3 — First-order response selection rules for equivariant generators
The theorem half of #598, stated generally: baseline generator
GisK-equivariant, source and readout transform in irrepsrho_B,rho_C, perturbation inrho_H; the first-order responseis allowed only when the trivial representation occurs in the relevant tensor product. For
C2this is parity multiplication, and we verify it pointwise in the integrand at 5.5e-16.What I need: who states this cleanly and in what language. Candidates I'd check —
Specifically: is there a citable statement that an invariant observable has identically zero linear response to a symmetry-breaking perturbation, for a Markov generator? If it exists only for Hamiltonian/unitary dynamics, that gap is worth knowing — it would make our version a small but genuine contribution rather than a restatement.
Q4 — Fieller's theorem used for experiment design rather than inference
#596's Gate 2 scores candidate observables by the smallest future sample multiplier for which an
alpha-level Fieller set for a ratio lies inside a declared target window. Fieller's theorem itself is standard (and this repo already uses it for inference, per the N=580 correction). What I cannot find is the design direction.What I need:
Q5 — Non-monotone block-Krylov prefixes (carried over, still unanswered)
Raised on #594 and still open. Our Krylov prefix ladder is not monotone in held-out predictive error: rank 7 is worse than rank 6 at widths 5–8, rank 9 worse than 8, rank 10 worse than 9, while the declared readouts stay monotone. Our reading is that a rank cutting inside a Krylov block level adds half a level and the Galerkin closure spends it on the readouts it was built from.
What I need: does this pathology have a name in the model-reduction / rational-Krylov literature, and is the standard remedy simply "only truncate at block boundaries"? Citing a known pathology is much better than describing it as if new.
Ranking, if time is short
For each: exact statement, full bibliographic detail, and — where the literature contradicts what we wrote — say so plainly. A negative answer ("no one states this for Markov generators") is a useful result here, not a failure to find something.
Related: #592 (the #588 literature, separate), #593, #594, #596, #598, #370.