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Nonpositive signed row sums bound the solution by its initial norm

Proved
BianchiIX.norm_le_initial_of_signedRowSum_nonpos

by trppppp · Nov 5, 2026 · Mathlib 0df444a (Lean v4.33.1)

bianchi-ix-era-statisticsdynamical-systems

For a finite index type ι\iotaι, a real matrix A=(Aij)A=(A_{ij})A=(Aij​), and i∈ιi\in\iotai∈ι, define its signed row sum by

σi(A)=Aii+∑j≠i∣Aij∣.\sigma_i(A)=A_{ii}+\sum_{j\ne i}|A_{ij}|.σi​(A)=Aii​+j=i∑​∣Aij​∣.

Vectors in Rι\mathbb R^\iotaRι carry the supremum norm. Assume ι\iotaι is nonempty. Let fff be continuous on [a,b][a,b][a,b] and satisfy f′(t)=A(t)f(t)f'(t)=A(t)f(t)f′(t)=A(t)f(t) at every t∈[a,b)t\in[a,b)t∈[a,b). If σi(A(t))≤0\sigma_i(A(t))\leq0σi​(A(t))≤0 for every such ttt and every iii, then

∥f(t)∥∞≤∥f(a)∥∞(t∈[a,b]).\|f(t)\|_\infty\leq\|f(a)\|_\infty\quad(t\in[a,b]).∥f(t)∥∞​≤∥f(a)∥∞​(t∈[a,b]).
Preamble
import Definitions.Def_BianchiIX_Analysis_SignedRowGrowth
import Mathlib.Analysis.ODE.Gronwall
import Mathlib.Data.Matrix.Mul
import Mathlib.Tactic.FieldSimp
import Mathlib.Tactic.FunProp

noncomputable section
open BianchiIX
open Set Filter
open scoped Topology
variable {ι : Type*} [Fintype ι] [DecidableEq ι] [Nonempty ι]

Formal statement
theorem BianchiIX.norm_le_initial_of_signedRowSum_nonpos {f : ℝ → (ι → ℝ)}
    {A : ℝ → Matrix ι ι ℝ} {a b : ℝ}
    (hf : ContinuousOn f (Icc a b))
    (hderiv : ∀ t ∈ Ico a b, HasDerivAt f ((A t).mulVec (f t)) t)
    (hA : ∀ t ∈ Ico a b, ∀ i, signedRowSum (A t) i ≤ 0) :
    ∀ t ∈ Icc a b, ‖f t‖ ≤ ‖f a‖ := by sorry
Source
https://github.com/l46430640-del/ERA-STATISTICS-FORMAL/blob/d74c241819f896ab8d050b21ace80c8e90eabd9e/BianchiIX/Analysis/SignedRowGrowth.lean#L84-L96

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