Alphabeta Math
ExampleConstruction: AI-generatedVerification: AI-generatedPipeline-generatedprecheck pass
How statement and proof provenance work

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.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

Constant forcing: free fall and the approach to terminal velocity under linear drag

Example

Let m>0, g∈R and consider the two constant-forcing models with time domain I=R (the half-line solution in (ii) is the restriction of its global solution) (The damped driven oscillator model: second-order equation, phase-plane system and characteristic data).

  • (i) Uniform force: x′′=g with data x(0)=x0, x′(0)=v0. The unique solution is x(t)=x0+v0t+12gt2.
  • (ii) Linear drag: m=1, c=2, g=1, that is x′′+2x′=1, with data (x0,v0)=(0,0). The unique solution on [0,∞) is x(t)=12t−14(1−e−2t), and its velocity x′(t)=12(1−e−2t) increases to the limiting value 12.

Facts & Assumptions

Given: The parameters m,g and the data of the two lines; the forced oscillator theorem applies in both since k=0≥0 and the forcing is constant, hence continuous.

[L1]

For m>0, c≥0, k≥0 and continuous f, the unique solution of mx′′+cx′+kx=f with data (x0,v0) at t0=0 is x=xh+∫0tg(t−s)f(s)ds, where xh is the homogeneous solution with the data and g is the homogeneous kernel with g(0)=0, g′(0)=1/m; for k=c=0 one has g(u)=u/m, and for k=0, c>0 one has g(u)=(1−e−cu/m)/c (The forced oscillator with k≥0: unique global solution and the convolution (Green's function) formula, The degenerate and repulsive oscillator: solutions for k=0 and the explicit growing solution for k<0). [given]

[L2]

For k=0 the homogeneous solutions are xh(t)=A+Be−ct/m when c>0 and xh(t)=A+Bt when c=0, with A=x0+v0m/c, B=−v0m/c respectively A=x0, B=v0 (The degenerate and repulsive oscillator: solutions for k=0 and the explicit growing solution for k<0). [given]

[L3]

(eμt)′=μeμt for real μ, and sums and scalar multiples are differentiated termwise. [thm-derivative-of-exponential, thm-algebra-of-derivatives]

Verification

technique · direct; read the solutions off the convolution formula in the two degenerate cases and differentiate
1.1givenL1L2algebra

Line (i): here c=k=0, so [L1] gives g(u)=u/m and xh(t)=x0+v0t by [L2]; hence x(t)=x0+v0t+∫0tt−sm mg ds=x0+v0t+g∫0t(t−s) ds=x0+v0t+12gt2, because ∫0t(t−s)ds=t2/2.

1.2givenL1L2algebra

Line (ii): here m=1, c=2, k=0 and f≡1; by [L1], g(u)=(1−e−2u)/2, and the datum (0,0) gives xh=0 by [L2]. Hence x(t)=∫0t1−e−2(t−s)2 ds=t2−14(1−e−2t).

2.1step 1.1step 1.2L3algebra∎

Velocity: by [L3], x′(t)=12−14⋅2e−2t=12(1−e−2t), so x′(0)=0 and x′(t)→12 as t→+∞ because e−2t→0; moreover x′′(t)=e−2t, so x′′+2x′=e−2t+1−e−2t=1, confirming both lines satisfy their equations with the prescribed data.

Depends on

Dependency tree · 2 levels

Sources