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Feasibility of finite reaction offsets
Statement
Let be a finite set of channel labels and . For each , take and as independently specified real input data; this theorem does not define channel input/output compounds, a calibration map, or a map producing . In an application, separate model data may specify vectors and set , while a separately supplied real number may be designated as a channel's calibrated entropy change and as its lower bound. These are additional application premises, not conclusions or inputs derived here. Use the dot product and coordinatewise finite vector sums defined in Finite inequality alternative by Fourier–Motzkin elimination: for , , and . A multiplier is a function . There exists an offset vector satisfying
if and only if every with and satisfies . If a separate model supplies for each a real number , designated as its transition entropy change, and assumes , such a vector guarantees for those channels. The criterion is exact for the finite lower-bound inequalities; it does not claim necessity for actual transitions when is only a loose bound.
Facts & Assumptions
The finite vectors and reals are independent input data. No relation between channel input/output compounds, common-meter values, calibrated changes, and is assumed or constructed here; the transition conclusion is conditional on separate real values satisfying .
Finite inequality alternative by Fourier–Motzkin elimination: the stated dot product is a finite coordinate sum and vector sums are coordinatewise; the finite row system is feasible exactly when every nonnegative zero-left-side multiplier has nonpositive combined right side.
Finite commutative-monoid sums are invariant under bijective reindexing, split over disjoint unions, and satisfy the finite Fubini rule: every finite row-label set admits an enumeration by a natural-number index set; reindexing by a bijection preserves the finite vector and scalar sums.
Proof
Given: [A1], [F1], and [F2].
By [F2], choose a natural number and a bijection ; when , take and the empty bijection. Reindex the data as and for . The row system is exactly the required offset system. By [F1], it is feasible exactly when every nonnegative multiplier family with has . The bijection transports such a family to on , preserving nonnegativity and both finite sums by [F2]. Hence this condition is precisely . For , is feasible and the multiplier condition is vacuous. If and is nonempty, every ; testing the coordinate multiplier for each channel makes the criterion equivalent to for every , and then the unique empty vector satisfies all rows.
For any channel with actual change , add to both sides of that bound and use the solved row inequality . Then . This is a sufficient monotonicity conclusion for the stated channels.
Remarks
For and nonempty , the criterion reduces to for every channel. Strict increase, infinitely many channels, and lower bounds equal to actual changes are separate conditions and are not inferred here.