Alphabeta Math
TheoremStatement: Literature-sourcedProof: AI-generatedSession-authored (Fable 5 assisted)precheck passaudited 2026-08-29
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The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

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Smooth dependence of ODE solutions on parameters

Statement

Let F(t,x,λ) be smooth in (x,λ) on an open time-state-parameter domain. Near any base data (t0,x0,λ0) there are a compact time interval I and a neighbourhood W of (x0,λ0) such that, for every (y,λ)W, the solution of

x(t)=F(t,x(t),λ),x(t0)=y,

is defined on I, and the resulting solution map is smooth in the pair (y,λ).

Facts & Assumptions

Given: A smooth parameter-dependent vector field F(t,x,λ) and base data (t0,x0,λ0).

[L1]

Solutions depend smoothly on initial data for smooth systems on a common compact interval (Smooth dependence of solutions on initial data).

Proof

technique · direct
1.1

Introduce the augmented variable (x,λ)Rn+m and define the autonomous-in-parameter system below.

givenconstruct

(xλ)=(F(t,x,λ)0).

Along every solution the parameter component remains constant, so solving this augmented system is equivalent to solving the original parameter-dependent ODE with fixed parameter λ. [given, construct]

2.1

The augmented right-hand side is smooth in the initial data (y,λ), so [L1] applies on a common compact local time interval and makes the augmented solution map smooth in (y,λ). Projecting to the x-component preserves that smoothness, which gives the claimed smooth dependence of solutions on initial state and parameter.

L1step 1.1

Depends on

Used by

Dependency tree · two levels

5 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.

Sources