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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.

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

Cm Math Verification — Examples

1 · Prerequisites

2 · Summary

The companion page to cm-math-verification records explicit finite checks of its results. Everything here is mathematics: the examples carry domain: mathematics, depend only on the mathematical items of the parent page and on mathematical suppliers, and make no physical or empirical claim. No measurement, simulation or numerical integration is involved; the displayed values and bounds are exact expressions, including square roots, multiples of π, polynomials in the stated parameters, and exponential expressions.

An explicit saddle of the oscillator action at T=2π: the two variations sin⁡(t/2) and sin⁡(3t/2) evaluates the oscillator second variation at ω=1, T=2π for the variations sin⁡(t/2) and sin⁡(3t/2): the values −3π/4 and 5π/4 and the exact action values −3πε2/8<0<5πε2/8 exhibit the saddle of the stationary zero curve, with the defining integrals also evaluated directly as a check.

Two distinct oscillator solutions with the same zero endpoints at T=π, and their common action value exhibits the two distinct solutions sin⁡t and 2sin⁡t of x′′+x=0 with the same zero endpoints at T=π, and shows that every member Asin⁡t of the one-dimensional solution family has the same action value 0.

Parallel-axis theorem checked on two equal point masses on the third axis computes, for ν=mδre3+mδ−re3, both the inertia matrix diag(2mr2,2mr2,0) about the origin and the inertia tensor diag(2m(r2+c2),2m(r2+c2),0) about ce3, twice: once from the definition and once through the parallel-axis identity of Parallel-axis theorem: the inertia tensor about a displaced point of a centred mass distribution.

Two-mass spring eigenmodes at explicit parameters: eigenrelations, a mode solution, and the zero-frequency case checks the eigenrelations Ku+=u+, Ku−=7u− of the two-mass system at k=1, c=3, verifies the mode solution cos⁡(t)u++cos⁡(7 t)u− by differentiation, and exhibits the unbounded affine motion (1+t)u+ of the degenerate case k=0, c=1.

The pendulum linearisation bound at g=l=1: exact error bound for the data δ=1/100, T=1 instantiates the pendulum bound at g=l=1, r=1/2, δ=1/100, T=1: the smallness condition δeLT<r follows from 2<e<3, and the error is bounded by (e2t−et)/(12⋅104) on [0,1], with the pointwise remainder checks ∣sin⁡θ−θ∣≤1/48 and ∣sin⁡θ∣≤1/2 on the ball.

3 · Logical flowchart

4 · Definitions, postulates, theorems and proofs

None yet.

5 · Examples, experiments and counterexamples

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An explicit saddle of the oscillator action at T=2π: the two variations sin⁡(t/2) and sin⁡(3t/2)

Example

Fix ω=1 and T=2π in the chart L(q,v)=12(v2−q2) on O=R×R×R over [0,2π]×R (A time-dependent Lagrangian chart, its action functional and its fixed-endpoint first variations), and consider the variations

η1(t)=sin⁡t2,η3(t)=sin⁡3t2

of the zero curve q0≡0. The proposition Second variation of the oscillator action on a finite interval: both signs for T>π/ω and the value at T=π/ω gives

δ2S(q0)[η1,η1]=−3π4<0,δ2S(q0)[η3,η3]=5π4>0,

and with the exact identity S(εη)=ε22δ2S(q0)[η,η] of that proposition,

S(εη1)=−3πε28<0<5πε28=S(εη3)(ε≠0).

Thus at the duration T=2π>π=π/ω the stationary zero curve has variations that decrease and variations that increase the action arbitrarily close to it: it is a saddle, and neither a local minimiser nor a local maximiser. Every number below is exact; no measurement or numerical integration is involved.

Facts & Assumptions

Given: The chart L(q,v)=12(v2−q2) over [0,2π]×R, the zero curve q0, the variations η1,η3, and the action S and second variation δ2S of A time-dependent Lagrangian chart, its action functional and its fixed-endpoint first variations and The fixed-endpoint second variation of a time-dependent action at a curve.

[L1]

Second variation values and exact action (Second variation of the oscillator action on a finite interval: both signs for T>π/ω and the value at T=π/ω, The second variation of a time-dependent action: twice differentiability of the fixed-endpoint family and the Hessian integral formula): for this chart with parameters ω=1, T=2π one has δ2S(q0)[ηn,ηn]=T2((nπ/T)2−ω2) for the variations ηn(t)=sin⁡(nπt/T), and S(εηn)=ε22δ2S(q0)[ηn,ηn] for every real ε.

Verification

Proof technique: direct; substitute T=2π, ω=1 into the proposition and evaluate the defining integrals independently.

1.1givenL2algebra

The variations: η1 and η3 are C∞ on R with η1(0)=η1(2π)=0 and η3(0)=η3(2π)=0 by [L2], so both are variations of q0; their derivatives are η1′(t)=12cos⁡t2 and η3′(t)=32cos⁡3t2.

2.1step 1.1givenL1algebra

Second variations: substituting T=2π and ω=1 into [L1] gives δ2S(q0)[ηn,ηn]=π(n2/4−1), hence δ2S(q0)[η1,η1]=π(1/4−1)=−3π4 and δ2S(q0)[η3,η3]=π(9/4−1)=5π4.

3.1step 2.1L2algebra

Independent integral check: by [L2], ∫02πη1′(t)2dt=14∫02π1+cos⁡t2dt=14⋅π,∫02πη1(t)2dt=∫02π1−cos⁡t2dt=π, so δ2S(q0)[η1,η1]=π/4−π=−3π4; and with η3′(t)2=94cos⁡23t2 the same computation gives ∫02πη3′2=94⋅π and ∫02πη32=π, so δ2S(q0)[η3,η3]=9π4−π=5π4, in agreement with step 2.1.

4.1step 2.1step 3.1L1algebra∎

Action values and saddle: by the exact identity in [L1], S(εη1)=ε22⋅(−3π4)=−3πε28<0 and S(εη3)=5πε28>0 for every ε≠0, while S(q0)=0; since both families tend to q0 as ε→0, the stationary zero curve is neither a local minimiser nor a local maximiser, as claimed.

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Two distinct oscillator solutions with the same zero endpoints at T=π, and their common action value

Example

Take m=1, k=1, hence ω=1, and T=π in The undamped oscillator: Dirichlet non-uniqueness at T=nπ/ω despite unique initial-value solutions, and consider the two curves

x1(t)=sin⁡t,x2(t)=2sin⁡t(t∈[0,π]).

Both are C∞ solutions of x′′+x=0 on [0,π] with x(0)=x(π)=0, and they are distinct; they have different initial velocities 1 and 2. On the chart L(q,v)=12(v2−q2) over [0,π]×R (A time-dependent Lagrangian chart, its action functional and its fixed-endpoint first variations) both are stationary curves of the action, and their action values agree:

S(x1)=S(x2)=0.

This is the concrete T=π case of the non-uniqueness in The undamped oscillator: Dirichlet non-uniqueness at T=nπ/ω despite unique initial-value solutions and of the signed-action checks of An explicit saddle of the oscillator action at T=2π: the two variations sin⁡(t/2) and sin⁡(3t/2); all numbers are exact.

Facts & Assumptions

Given: The model x′′+x=0 on [0,π], its curves x1(t)=sin⁡t and x2(t)=2sin⁡t, and the chart L(q,v)=12(v2−q2) with its action S.

[L1]

The non-uniqueness proposition (The undamped oscillator: Dirichlet non-uniqueness at T=nπ/ω despite unique initial-value solutions): for m=k=1 and T=π=nπ/ω with n=1, the set of C2 solutions of x′′+x=0 on [0,π] with x(0)=x(π)=0 is exactly {Asin⁡t:A∈R}, and each such curve is a stationary curve of the action of the chart L(q,v)=12(v2−q2) (Stationarity of the time-dependent action is equivalent to the vanishing of the Euler-Lagrange expression, A time-dependent Lagrangian chart, its action functional and its fixed-endpoint first variations).

[L2]

Trigonometric calculus and integrals (The derivatives of sine and cosine are cosine and minus sine, Sine and cosine defined by their real power series, The addition formulas for sine and cosine, Parity and the Pythagorean identity for sine and cosine, The zero sets of sine and cosine and the least positive common period 2 pi, The chain rule for total derivatives: D(g∘f)(a)=Dg(f(a))∘Df(a), The second fundamental theorem: if G is differentiable on [a,b] with G′=f and f is integrable, then ∫abf=G(b)−G(a), Integrable functions on [a,b] form a set closed under sums and scalar multiples, and ∫ab(λf+μg)=λ∫abf+μ∫abg, The lower and upper Darboux integrals of a bounded f on [a,b] as sup⁡PL(f,P) and inf⁡PU(f,P), Darboux integrability as their equality, and the notation ∫abf, A continuous function on [a,b] is Riemann integrable, by Heine-Cantor and Riemann's criterion, Intervals of R: the nine order-convex forms, nondegeneracy, and length): sin⁡ and cos⁡ are differentiable with sin⁡′=cos⁡, cos⁡′=−sin⁡, the zeros of sin⁡ are the integer multiples of π and in particular sin⁡0=sin⁡π=0; the double-angle formula gives cos⁡2t−sin⁡2t=cos⁡2t; the fundamental theorem evaluates ∫0πcos⁡2t dt=12[sin⁡2t]0π=0 because sin⁡2π=0; and continuous integrands on [0,π] are integrable.

Verification

Proof technique: direct; verify the two solutions and their endpoint data, note their distinctness, and evaluate the action along the family.

1.1givenL2algebra

The two solutions: by [L2], x1′′=−sin⁡t=−x1 and x2′′=−2sin⁡t=−x2, so both curves solve x′′+x=0 on [0,π]; and x1(0)=x1(π)=0, x2(0)=x2(π)=0 by the zero set of sin⁡.

2.1step 1.1givenL2algebra

Distinctness with equal boundary data: x2−x1=sin⁡t≠0 (at t=π/2 the value is 1), so the solutions are distinct, while both take the value 0 at 0 and at π; their initial velocities are x1′(0)=1 and x2′(0)=2, so they are different initial-value solutions, in accordance with the initial-value uniqueness clause of [L1].

3.1step 1.1step 2.1L1L2algebra

Action along the family: for A∈R, using L(Asin⁡t,Acos⁡t)=A22(cos⁡2t−sin⁡2t) and linearity of the integral, S(Asin⁡)=A22∫0π(cos⁡2t−sin⁡2t) dt=A22∫0πcos⁡2t dt=A24[sin⁡2t]0π=0 by [L2]; in particular S(x1)=S(x2)=0.

4.1step 1.1step 2.1step 3.1L1∎

Reading: by [L1] the curves x1,x2 are stationary for the action of the chart and share the endpoint data (0,0); they are distinct and have the same action value 0, exhibiting in one explicit computation the failure of uniqueness of the fixed-endpoint problem at T=π, with no claim about any other duration.

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Parallel-axis theorem checked on two equal point masses on the third axis

Example

Let m>0, r>0, and let

ν:=m δre3+m δ−re3

be the weighted sum of the two Dirac measures at ±re3 (The Dirac set function at a point, Nonnegative scalar multiples and countable weighted sums of measures are measures), a bounded finite Borel measure and hence a mass distribution of total mass 2m (Mass distributions on R3: total mass, first moment and inertia matrix). Assume the Axiom of Countable Choice ACω (The Axiom of Countable Choice (ACω)), used only to make the displayed integrals finite (Finiteness and a uniform bound for the entries of the inertia tensor about an arbitrary point, Finiteness of the moments of a bounded finite Borel measure on R3). Then:

  • ν is centred, μ(ν)=m re3+m(−re3)=0, and its inertia matrix about the origin is I(ν)=diag(2mr2,2mr2,0);
  • the inertia tensor about a=ce3, computed directly from the definition, is Iν(ce3)=diag(2m(r2+c2),2m(r2+c2),0), and the parallel-axis identity of Parallel-axis theorem: the inertia tensor about a displaced point of a centred mass distribution, Iν(a)=I(ν)+2m(∥a∥22I3−aaT), reproduces exactly this value.

All entries are exact polynomial expressions in m,r,c; no measurement is involved.

Facts & Assumptions

Given: The parameters m>0, r>0, a real c, the measure ν=mδre3+mδ−re3, and the notation of Mass distributions on R3: total mass, first moment and inertia matrix and The inertia tensor of a finite bounded Borel measure about any point of R3.

[L1]

The measure and its integrals (The Dirac set function at a point, A Dirac set function is a probability measure, Nonnegative scalar multiples and countable weighted sums of measures are measures, Nonnegative scalar multiples and countable weighted sums of measures): ν(E)=mδre3(E)+mδ−re3(E) for every Borel set E, so ν is a measure with ν(R3)=2m and ν({re3})=ν({−re3})=m; for every real measurable f bounded on the two-point support one has ∫f dν=mf(re3)+mf(−re3) (The nonnegative Lebesgue integral, The integral of a nonnegative simple function, Integral over a measurable subset, Integrable real and complex functions, and their integrals, Monotonicity and nonnegative homogeneity of the nonnegative integral, The Lebesgue integral is linear on L1(μ)).

[L2]

The two inertia objects (Mass distributions on R3: total mass, first moment and inertia matrix, The inertia tensor of a finite bounded Borel measure about any point of R3): I(ν)jk=∫(∥ρ∥22δjk−ρjρk) dν and Iν(a)jk=∫(∥ρ−a∥22δjk−(ρj−aj)(ρk−ak)) dν; all entries are finite real numbers under ACω (Finiteness and a uniform bound for the entries of the inertia tensor about an arbitrary point, Finiteness of the moments of a bounded finite Borel measure on R3).

[L3]

The parallel-axis theorem (Parallel-axis theorem: the inertia tensor about a displaced point of a centred mass distribution): for a centred mass distribution of total mass mtot one has Iν(a)=I(ν)+mtot(∥a∥22I3−aaT).

[L4]

Matrix data (The Euclidean inner product ⟨x,y⟩=∑k<nxkyk on Rn, The vector space Mm×n(F):=F m×n of m by n matrices over a field, with entrywise operations, Rectangular matrix multiplication and the identity matrix In, including zero-sized shapes, Laws of finite sums and finite products): for ρ=±re3 one has ρρT=r2e3e3T and ∥ρ∥22=r2; for a=ce3 and ρ=re3 one has ρ−a=(r−c)e3 while for ρ=−re3 one has ρ−a=−(r+c)e3; and I3−e3e3T=diag(1,1,0).

Verification

Proof technique: direct; evaluate the two atomic integrals and compare the two sides of the parallel-axis identity.

1.1givenL1L2algebra

Centredness and total mass: by the atomic formula of [L1], μ(ν)=m⋅re3+m⋅(−re3)=0 and ν(R3)=2m, so ν is a centred mass distribution of total mass 2m and [L3] applies.

2.1step 1.1L1L2L4algebra

Inertia about the origin: by [L1], [L2] and [L4], I(ν)=m(r2I3−r2e3e3T)+m(r2I3−r2e3e3T)=2mr2(I3−e3e3T)=diag(2mr2,2mr2,0).

2.2step 1.1L1L2L4algebra

Inertia about ce3, computed directly: for ρ=re3 the shifted integrand is (r−c)2(I3−e3e3T) and for ρ=−re3 it is (r+c)2(I3−e3e3T), so by [L1], [L2] and [L4], Iν(ce3)=m((r−c)2+(r+c)2)(I3−e3e3T)=2m(r2+c2)(I3−e3e3T)=diag(2m(r2+c2),2m(r2+c2),0).

3.1step 1.1step 2.1step 2.2L3L4algebra∎

The theorem side: by [L3] with mtot=2m and a=ce3, Iν(ce3)=I(ν)+2m(c2I3−c2e3e3T), which by step 2.1 and [L4] equals 2m(r2+c2)(I3−e3e3T), in exact agreement with the direct computation of step 2.2: the parallel-axis identity holds at this data.

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Two-mass spring eigenmodes at explicit parameters: eigenrelations, a mode solution, and the zero-frequency case

Example

Take m=1, k=1, c=3 in Two equal masses with two outer springs and a coupling spring: eigenmodes, decoupling and the explicit normal frequencies, so that K=(4−3−34) and u±=12(1,±1)T; the proposition gives Ku+=u+ and Ku−=7u−, hence squared frequencies k/m=1 and (k+2c)/m=7. The curve

x(t)=cos⁡(t) u++cos⁡(7 t) u−

solves x′′=−Kx with x(0)=(2,0) and x′(0)=0. In the degenerate case k=0, c=1 one has K=(1−1−11) and Ku+=0, so x(t)=(1+t)u+ solves x′′=−Kx and is unbounded on [0,∞): the zero-frequency mode is affine, not oscillatory. All entries are exact; no numerical integration or measurement is involved.

Facts & Assumptions

Given: The parameters of the two cases, the matrix K and vectors u± of each case, and the system x′′=−Kx of Two equal masses with two outer springs and a coupling spring: eigenmodes, decoupling and the explicit normal frequencies with m=1.

[L1]

The proposition (Two equal masses with two outer springs and a coupling spring: eigenmodes, decoupling and the explicit normal frequencies): for m>0, k≥0, c≥0 one has Ku+=ku+ and Ku−=(k+2c)u−, the system mx′′=−Kx is equivalent to the two scalar oscillator equations my+′′+ky+=0, my−′′+(k+2c)y−=0 via x=y+u++y−u−, and for k=0 the family x(t)=(A+Bt)u+ consists of solutions with Ku+=0 (The damped driven oscillator model: second-order equation, phase-plane system and characteristic data, The homogeneous damped oscillator: solution classification by the discriminant and uniqueness for initial data, The degenerate and repulsive oscillator: solutions for k=0 and the explicit growing solution for k<0 for the scalar solution families).

[L2]

Matrix and derivative data (Rectangular matrix multiplication and the identity matrix In, including zero-sized shapes, The vector space Mm×n(F):=F m×n of m by n matrices over a field, with entrywise operations, The Euclidean inner product ⟨x,y⟩=∑k<nxkyk on Rn, The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral, Sums, scalar multiples, products and quotients: (f+g)′(c)=f′(c)+g′(c), (αf)′(c)=αf′(c), (fg)′(c)=f′(c)g(c)+f(c)g′(c), and (f/g)′(c)=(f′(c)g(c)−f(c)g′(c))/g(c)2 when g(c)≠0, The chain rule for total derivatives: D(g∘f)(a)=Dg(f(a))∘Df(a), The derivatives of sine and cosine are cosine and minus sine, Sine and cosine defined by their real power series, The derivative f′(c)=lim⁡x→cf(x)−f(c)x−c of f:A→R at a point c∈A that is a limit point of A, and differentiability on a set, Intervals of R: the nine order-convex forms, nondegeneracy, and length): matrix-vector multiplication is the displayed sum; ddtcos⁡t=−sin⁡t and ddtcos⁡(7 t)=−7sin⁡(7 t), so d2dt2cos⁡(7 t)=−7cos⁡(7 t) by the chain rule; and ∥(A+Bt)u+∥2=∣A+Bt∣ because u+ is a unit vector.

Verification

Proof technique: direct; multiply the two explicit matrices into the displayed vectors and substitute the resulting eigenrelations into the two solutions.

1.1givenL1L2algebra

Eigenrelations in the first case: direct multiplication gives Ku+=12(4−3−3+4)=12(11)=u+,Ku−=12(4+3−3−4)=72(1−1)=7u−, so k=1 and k+2c=7 are the eigenvalues and the squared frequencies are 1 and 7; the second case has Ku+=12(1−1,−1+1)T=0.

2.1step 1.1givenL2algebra

The mode solution: with x(t)=cos⁡(t)u++cos⁡(7 t)u− one has x′′(t)=−cos⁡(t)u+−7cos⁡(7 t)u−=−(cos⁡(t)Ku++cos⁡(7 t)Ku−)=−Kx(t) by step 1.1 and [L2], so x′′=−Kx; also x(0)=u++u−=(2,0) and x′(0)=0 because both sine factors vanish at 0.

3.1step 1.1givenL1L2algebra∎

The zero-frequency case: for k=0, c=1 and x(t)=(1+t)u+ one has x′′=0 and −Kx=−(1+t)Ku+=0 by step 1.1, so x solves the system; moreover ∥x(t)∥2=1+t tends to +∞, so the motion is unbounded and affine rather than oscillatory, as clause 4 of [L1] predicts.

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The pendulum linearisation bound at g=l=1: exact error bound for the data δ=1/100, T=1

Example

Take g=l=1 in The pendulum field near the downward equilibrium: bounded force derivative, cubic remainder and the finite-time small-angle error bound, so that ω=1, F(θ,v)=(v,−sin⁡θ), A=(01−10), L=1 and ∥A∥=1. Choose the ball radius r=1/2, the datum z0=(δ,0) with δ=1/100, and the horizon T=1. Then δeLT=e/100<3/100<1/2=r because 2<e<3 (The elementary numerical bound 2<e<3), so the proposition applies and gives

∥z(t)−y(t)∥2≤112⋅104(e2t−et)(0≤t≤1),

where y(t)=δ(cos⁡t,−sin⁡t) solves y′=Ay, y(0)=z0; at t=1 the bound reads (e2−e)/(12⋅104) and is at most e3/(12⋅104). The remainder checks at ∥z∥2≤r are: ∣sin⁡θ−θ∣≤∣θ∣3/6≤1/48, and ∣sin⁡θ∣≤∣θ∣≤r=1/2. All constants are exact; the single inequality e<3 is the only numerical input.

Facts & Assumptions

Given: The parameters g=l=1, the field F(θ,v)=(v,−sin⁡θ), the matrix A, the constants r=1/2, δ=1/100, T=1, and the solution y(t)=δ(cos⁡t,−sin⁡t) of the linear problem.

[L1]

The proposition (The pendulum field near the downward equilibrium: bounded force derivative, cubic remainder and the finite-time small-angle error bound): for this field, ∥F(z)−Az∥2=∣sin⁡θ−θ∣≤∣θ∣3/6≤r∥z∥22/6 and ∥F(z)∥2≤L∥z∥2 with L=1 and ∥A∥=1 on ∥z∥2≤r; for δeLT<r the estimate ∥z(t)−y(t)∥2≤(ω2r/6)δ2∫0te∥A∥(t−s)e2Lsds holds on [0,T] (Finite-time linearization error bound: quadratic remainder, exponential growth bound and the variation-of-constants estimate).

[L2]

Exponential and trigonometric calculus (The exponential function is smooth and (exp⁡)′=exp⁡, The real exponential function and the number e by a power series, The elementary numerical bound 2<e<3, The exponential addition formula exp⁡(x+y)=exp⁡(x)exp⁡(y), A continuous function on [a,b] is Riemann integrable, by Heine-Cantor and Riemann's criterion, The second fundamental theorem: if G is differentiable on [a,b] with G′=f and f is integrable, then ∫abf=G(b)−G(a), The derivatives of sine and cosine are cosine and minus sine, Sine and cosine defined by their real power series, Signs, monotonicity intervals, and ranges of sine and cosine, A uniform derivative bound gives a uniform Taylor remainder bound, Sums, scalar multiples, products and quotients: (f+g)′(c)=f′(c)+g′(c), (αf)′(c)=αf′(c), (fg)′(c)=f′(c)g(c)+f(c)g′(c), and (f/g)′(c)=(f′(c)g(c)−f(c)g′(c))/g(c)2 when g(c)≠0, The chain rule for total derivatives: D(g∘f)(a)=Dg(f(a))∘Df(a)): 2<e<3; et is its own derivative, and eu+v=euev for real u,v. For fixed t>0, G(s)=et+s has derivative G′(s)=et+s on [0,t]; this derivative is continuous, hence integrable, so the fundamental theorem gives ∫0tet+sds=e2t−et. At t=0 the integral and expression both vanish. sin⁡ and cos⁡ have range [−1,1] and sin⁡0=0; and the Taylor bound gives ∣sin⁡θ−θ∣≤∣θ∣3/6.

Verification

Proof technique: direct; instantiate the proposition at the stated constants, verify the smallness condition with e<3, evaluate the integral with the fundamental theorem, and check the pointwise remainder bounds.

1.1givenL1L2algebra

Smallness condition: L=1 and δ=1/100 give δeLT=e/100, and e<3 gives e/100<3/100<1/2=r, so the datum lies in the range of the proposition with T=1.

1.2givenL1L2algebra

Pointwise bounds at this data: on ∥z∥2≤1/2 one has ∣θ∣3/6≤(1/2)∥z∥22/6=∥z∥22/12 and ∣sin⁡θ∣≤∣θ∣≤1/2, so the two hypotheses of [L1] hold with C=1/12 and L=1; at z=(1/2,0) this reads ∣sin⁡(1/2)−1/2∣≤1/48.

2.1step 1.1step 1.2L1L2algebra

The error bound: by [L1] with ω=1, r=1/2, δ=1/100, L=∥A∥=1, ∥z(t)−y(t)∥2≤112⋅1104∫0tet−se2sds=e2t−et12⋅104 for 0≤t≤1. By [L2], et−se2s=et+s and ∫0tet+sds=e2t−et, including t=0. This evaluates the upper bound, not the actual nonlinear error.

3.1step 2.1L1L3algebra∎

Reading at t=1: the bound becomes (e2−e)/(12⋅104)<e3/(12⋅104), a finite quantity of order δ2=10−4, and y1(t)=δcos⁡t satisfies ∣z1(t)−y1(t)∣≤∥z(t)−y(t)∥2 by [L3]; the estimate is restricted to [0,1] and asserts nothing about the nonlinear pendulum beyond it.

Sources