The rank obstruction behind the preliminary spectral state #
The finite catalyst is kept fixed while first tensor powers, then exponent slack, then the number of copies are varied. The hypotheses below isolate the rank inequalities supplied by the catalytic comparison; they do not assert the existence of a tensor spectrum or the separation argument producing that comparison.
Tensor powers of a fixed exact matrix algorithm retain their exact rank bound after identifying the product coordinates with one matrix dimension.
A floor approximation uses at most n^j copies of a fixed matrix
algorithm and loses at most one factor of its fixed matrix dimension.
At fixed n and exponent slack, every admissible matrix rank budget
forces the exponential growth rate of the catalytic comparison. The constant
R is fixed before the tensor-power parameter varies.
The numerical rank consequence of a single fixed finite catalyst is
incompatible with k < d^ν. The same D and R occur for every n and
every tensor power. No uniform bound on the approximation block selected
after an exponent slack is assumed.
Contradiction form for the finite-obstruction argument.
Iteration and absorption of a fixed catalyst require no cancellation of
the tensor factor s. Monotonicity is explicit so the lemma applies to the
restriction order on a tensor semiring, where additive cancellation fails.
A rank-compatible ordered tensor semiring converts a single finite catalytic inequality into the actual exact-rank obstruction. The hypotheses name the required tensor interpretation and scalar rank domination explicitly; no additive rank formula or cancellation property is assumed.
In the semiring of actual finite tensors over K modulo mutual
restriction, a fixed catalyst cannot make k copies dominate multiplication
by T_d unless k ≥ d^ν. The nonzero hypothesis is exactly what supplies
the scalar restriction s ≥ 1; the catalyst remains fixed throughout.
The stronger comparison produced by a finite separation certificate
has the same consequence. Its positive scalar summand is only needed
earlier to rule out s = 0; that nonzero fact is explicit here.
A finite tensor cannot absorb a positive scalar direct summand. Iterating such an absorption would place arbitrarily large scalar tensors below one fixed finite-rank tensor. This uses rank monotonicity, not rank additivity.
The exact finite-obstruction comparison from Appendix A.1 forces
k ≥ d^ν. Both tensors are fixed, m is a positive scalar gain, and the
ordinary tensor rank and restriction order are the actual ones.
Contradiction interface for the finite inconsistency certificate in the construction of an additive monotone state.