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Feasibility of finite reaction offsets

Statement

Let A be a finite set of channel labels and r∈N. For each a∈A, take νa∈Rr and da∈R as independently specified real input data; this theorem does not define channel input/output compounds, a calibration map, or a map producing da. In an application, separate model data may specify vectors νain,νaout∈Rr and set νa:=νaout−νain, while a separately supplied real number Δσa may be designated as a channel's calibrated entropy change and da≤Δσa 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 u,v∈Rr, u⋅v:=∑k<ru(k)v(k), and (∑a∈Aλaνa)(k):=∑a∈Aλaνa(k). A multiplier λ∈RA is a function A→R. There exists an offset vector b∈Rr satisfying

b⋅νa+da≥0(a∈A)

if and only if every λ∈RA with λa≥0 and ∑a∈Aλaνa=0 satisfies ∑a∈Aλada≥0. If a separate model supplies for each a a real number Δσa, designated as its transition entropy change, and assumes Δσa≥da, such a vector guarantees Δσa+b⋅νa≥0 for those channels. The criterion is exact for the finite lower-bound inequalities; it does not claim necessity for actual transitions when da is only a loose bound.

Facts & Assumptions

[A1]

The finite vectors νa and reals da are independent input data. No relation between channel input/output compounds, common-meter values, calibrated changes, and da is assumed or constructed here; the transition conclusion is conditional on separate real values Δσa satisfying Δσa≥da.

[F1]

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 cj⋅b≥hj is feasible exactly when every nonnegative zero-left-side multiplier has nonpositive combined right side.

[F2]

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].

1.1A1F1F2algebra

By [F2], choose a natural number m and a bijection ϕ:m→A; when A=∅, take m=0 and the empty bijection. Reindex the data as cj:=νϕ(j) and hj:=−dϕ(j) for j<m. The row system cj⋅b≥hj is exactly the required offset system. By [F1], it is feasible exactly when every nonnegative multiplier family μ∈Rm with ∑j<mμjcj=0 has ∑j<mμjhj≤0. The bijection transports such a family to λa:=μϕ−1(a) on A, preserving nonnegativity and both finite sums by [F2]. Hence this condition is precisely ∑a∈Aλaνa=0⇒∑a∈Aλada≥0. For A=∅, b=0 is feasible and the multiplier condition is vacuous. If r=0 and A is nonempty, every νa=0; testing the coordinate multiplier for each channel makes the criterion equivalent to da≥0 for every a, and then the unique empty vector b satisfies all rows.

2.1A1step 1.1algebra∎

For any channel with actual change Δσa≥da, add b⋅νa to both sides of that bound and use the solved row inequality b⋅νa≥−da. Then Δσa+b⋅νa≥da+b⋅νa≥0. This is a sufficient monotonicity conclusion for the stated channels.

Remarks

For r=0 and nonempty A, the criterion reduces to da≥0 for every channel. Strict increase, infinitely many channels, and lower bounds equal to actual changes are separate conditions and are not inferred here.

Depends on

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