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  • 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 Continuum — Examples

1 · Prerequisites

2 · Summary

Worked checks and one scope counterexample for the continuum layer. Each item is a finite or parametric verification of a statement proved on cm-math-continuum; none of them is a prerequisite of any result on that page.

Transport of a translating rigid region: the rate integral vanishes for a travelling profile evaluates the transport theorem on a uniform translation with a travelling profile, A longitudinal plane wave in the isotropic elastic model: dispersion check and strain energy at explicit parameters checks the longitudinal plane-wave dispersion and the two expressions for the strain energy at explicit parameters, and Numerical checks for channel flows: h=η=1, G=12 gives flux 1 and centre speed 3/2, and V=2 gives shear 2 substitutes numbers into the channel-flow formulas. For the wave layer, The first sine mode with matched velocity data: exact solution and the numerical tail bound 8(N+1)−4 works the first sine mode with matched velocity data and evaluates the general tail constant, while FALSE: the O(N−4) sine-tail bound holds for every continuous odd periodic function. A C1 datum with coefficients n−3 refutes it refutes the hypothesis-free O(N−4) tail statement with a C1 datum whose coefficients are n−3. Riemann data uL=3, uR=1: shock speed and entropy coefficients, and a rarefaction check inherits countable choice from the Lebesgue weak formulation and evaluates the shock entropy coefficient in its interior and exterior cases and checks a rarefaction branch, and A four-node cyclic chain mode with a=c=1: exact ODE check, dispersion value ω2=2, and the continuum error bound verifies the discrete dispersion value and the continuum error bound at a four-node mode.

3 · Logical flowchart

4 · Definitions, postulates, theorems and proofs

None yet.

5 · Examples, experiments and counterexamples

ExampleConstruction: AI-generatedVerification: AI-generatedOpen item page →

Transport of a translating rigid region: the rate integral vanishes for a travelling profile

Example

Assume ACω (The Axiom of Countable Choice (ACω)) for the actual Lebesgue transport and change-of-variables suppliers.

Let B:=B1(0)⊆R3 be the open unit ball (Open ball, closed ball and sphere in a metric space), a nonempty bounded open set and hence a material region in the sense of Material regions, densities and their mass; let v∈R3 be fixed, and let

ψ(t,X):=X+tv(t∈R, X∈R3)

be the uniform translation motion of Continuum motions, spatial velocity, material acceleration and swept regions (each ψt is the identity plus a translation, a C∞ diffeomorphism with DXψt=I3). Let h:R3→R be C1 (Ck Euclidean maps and diffeomorphisms) and define the travelling profile

f(t,x):=h(x−tv)((t,x)∈R×R3).

Then ∫ψt(B)f(t,x) dx is independent of t, while the transport integrand vanishes pointwise:

∂tf+div⁡(fv)=0,

so the transport theorem reproduces the constant rate 0.

Facts & Assumptions

Given: Countable choice. The unit ball B, the velocity v, the motion ψ(t,X)=X+tv, the C1 profile h and f(t,x)=h(x−tv).

[L1]

Transport theorem: for the motion ψ with spatial velocity w and a C1 f on a neighbourhood of the swept compact region, ddt∫ψt(B)f=∫ψt(B)(∂tf+div⁡(fw)); here w(t,ψ(t,X))=∂tψ(t,X)=v, so w≡v (The transport theorem for a C2 family of diffeomorphisms: ddt∫ψt(B)f=∫ψt(B)(∂tf+div⁡(fw)), Continuum motions, spatial velocity, material acceleration and swept regions).

[L2]

Change of variables: for the translation ψt (a C1 diffeomorphism with ∣det⁡Dψt∣=1), ∫ψt(B)f(t,x)dx=∫Bf(t,X+tv)dX=∫Bh(X)dX (A C^1 diffeomorphism satisfies the change-of-variables formula for L^1 functions, The Axiom of Countable Choice (ACω), Integral over a measurable subset).

[L3]

The affine map A(t,x):=x−tv has total derivative DA(t,x)(τ,z)=z−τv, directly from its exact increment. Since h is C1, The chain rule for total derivatives: D(g∘f)(a)=Dg(f(a))∘Df(a) gives f=h∘A of class C1 and Df(t,x)(τ,z)=Dh(x−tv)(z−τv). Derivatives: ∂tf(t,x)=−Dh(x−tv)v and ∇f(t,x)=(∇h)(x−tv), hence ∂tf+⟨∇f,v⟩2=0; moreover div⁡(fv)=⟨∇f,v⟩2+fdiv⁡v=⟨∇f,v⟩2 because v is constant (Euclidean spatial calculus: gradient, divergence and material derivative, 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, A total derivative computes every directional derivative, and its matrix is the Jacobian, The Euclidean inner product ⟨x,y⟩=∑k<nxkyk on Rn, The Lebesgue integral is linear on L1(μ)).

Verification

technique · direct; evaluate both sides of the transport identity for the explicit translating flow
1.1givenL2algebra

By [L2], ∫ψt(B)f(t,x)dx=∫Bh(X)dX for every t; the right-hand side does not depend on t, so the derivative is 0.

1.2givenL3algebra

By [L3], ∂tf+div⁡(fv)=(∂tf+⟨∇f,v⟩2)+fdiv⁡v=0, and the same conclusion holds for every point of the swept region.

2.1step 1.1step 1.2L1algebra∎

The transport theorem [L1] gives ddt∫ψt(B)f=∫ψt(B)(∂tf+div⁡(fv))=0, in agreement with step 1.1: both computations produce the constant rate.

Remarks

  • This example verifies the transport identity on a flow with constant velocity and non-constant density-like profile; it exercises the change-of-variables and material-derivative pieces without any physical claim.
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A longitudinal plane wave in the isotropic elastic model: dispersion check and strain energy at explicit parameters

Example

Take λ=2, μ=1, ρ0=1 (The small-strain isotropic linear elastic constitutive law and its strain energy: here λ+2μ3=83>0). Let k=(π,0,0), a=(1,0,0) and

ξ(t,x)=acos⁡(πx1−ωt),ω:=2π.

Then ξ is a longitudinal plane wave with speed (λ+2μ)/ρ0=2, and the associated strain and stress satisfy the elastic momentum identity; the strain energy density at time t equals both W(e)=2π2sin⁡2(πx1−ωt) and the decomposition μ∣e0∣F2+(λ/2+μ/3)(tr⁡e)2 with the same value.

Facts & Assumptions

Given: The parameters λ=2,μ=1,ρ0=1; the vectors a=(1,0,0), k=(π,0,0), ω=2π; the field ξ(t,x)=acos⁡(πx1−ωt).

[L1]

Plane-wave dispersion: the momentum identity holds for this ansatz exactly when ρ0ω2a=μ∣k∣22a+(λ+μ)⟨k,a⟩2k; for a∥k this is ρ0ω2=(λ+2μ)∣k∣22 (Exact plane-wave solutions of the isotropic linear elastic model, with longitudinal and transverse speeds).

[L3]

Strain-energy decomposition: W(e)=μ∣e0∣F2+(λ/2+μ/3)(tr⁡e)2 with e0=e−tr⁡e3I3 and ∣A∣F2=tr⁡(ATA) (The isotropic elastic strain energy is μ∣e0∣F2+(λ/2+μ/3)(tr⁡e)2, hence positive definite under μ>0, λ+2μ/3>0); trigonometric values and derivatives as usual (The derivatives of sine and cosine are cosine and minus sine, Sine and cosine defined by their real power series, Parity and the Pythagorean identity for sine and cosine).

Verification

technique · direct; substitute the numbers into the dispersion relation and the two energy expressions
1.1givenL1algebra

Check the dispersion relation: μ∣k∣22=1⋅π2=π2, (λ+2μ)∣k∣22=(2+2)π2=4π2, and ρ0ω2=1⋅(2π)2=4π2; the relation of [L1] holds, so the ansatz solves the elastic momentum equation at these parameters.

2.1step 1.1L2L3algebra

Compute the strain energy directly: from [L2], tr⁡(e2)=e112=π2sin⁡2θ, so W=λ2(tr⁡e)2+μtr⁡(e2)=π2sin⁡2θ+π2sin⁡2θ=2π2sin⁡2θ.

3.1step 2.1L2L3algebra∎

Compute the decomposition: e0=e−tr⁡e3I3=diag⁡(−2π3sin⁡θ,π3sin⁡θ,π3sin⁡θ), so ∣e0∣F2=4+1+19π2sin⁡2θ=23π2sin⁡2θ; also (λ/2+μ/3)(tr⁡e)2=(1+13)π2sin⁡2θ=43π2sin⁡2θ. Then μ∣e0∣F2+(λ/2+μ/3)(tr⁡e)2=23π2sin⁡2θ+43π2sin⁡2θ=2π2sin⁡2θ, in agreement with step 2.1.

Remarks

  • The example is a finite parametric check of the theorem and of the energy identity; it does not show that every elastic solution is such a wave, and no material is identified with these Lamé parameters.
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The first sine mode with matched velocity data: exact solution and the numerical tail bound 8(N+1)−4

Example

Let L>0, c>0 and define the odd 2L-periodic C∞ datum

F(x):=sin⁡(πxL),G(x):=cπLsin⁡(πxL).

Then the sine coefficients of Sine coefficients, sine series and the odd periodic extension are b1(F)=1 and bn(F)=0 for n≥2, and b1(G)=cπ/L, bn(G)=0 for n≥2; the series solution of the string theorem is the finite expression

u(t,x)=[cos⁡(ω1t)+sin⁡(ω1t)]sin⁡(πxL),ω1=cπL,

which solves utt=c2uxx with u(0,⋅)=F, ut(0,⋅)=G and u(t,0)=u(t,L)=0; its tail beyond the first mode vanishes. For each N≥1 define the matching partial sum uN(t,x):=∑n=1N[ancos⁡(ωnt)+dnsin⁡(ωnt)]sin⁡(nπx/L), where an=bn(F), dn=bn(G)/ωn and ωn=cnπ/L. The numerical bound of the string theorem at these data is

∣u(t,x)−uN(t,x)∣≤8 (N+1)−4(N≥1),

so the general bound is valid but far from sharp on this datum.

Facts & Assumptions

Given: The period L>0, wave speed c>0, the data F,G above, and ω1=cπ/L.

[L1]

Sine coefficients equal (2/L)∫0L(datum)sin⁡(nπx/L)dx; for a single sine mode sin⁡(πx/L) with the orthogonality of Sine orthogonality on a half period and the full-period integrals of odd 2L-periodic functions one gets b1=1, bn=0 for n≥2, and the function is odd and 2L-periodic (Sine coefficients, sine series and the odd periodic extension, Sine and cosine defined by their real power series, The zero sets of sine and cosine and the least positive common period 2 pi).

[L2]

The string theorem: the series (S) with an=bn(F), dn=bn(G)/ωn is C2, solves utt=c2uxx with the fixed-end conditions and the stated initial data, and obeys the tail bound with C=2(2L5M5π5+2L5M4cπ5) (The classical C2 fixed-end string: the sine series solves the wave equation with the given data, uniquely, with an explicit tail bound).

[L3]

Verification

technique · direct; identify the coefficients and evaluate the constants of the theorem
1.1givenL1algebra

By [L1], b1(F)=1, bn(F)=0 for n≥2; similarly b1(G)=cπ/L and bn(G)=0 for n≥2. Hence a1=1, d1=b1(G)/ω1=1, and all other coefficients vanish, so the series (S) collapses to u(t,x)=[cos⁡ω1t+sin⁡ω1t]sin⁡(πx/L).

2.1step 1.1L3algebra

By [L3] and step 1.1, ∂t2u=−ω12u and ∂x2u=−(π/L)2u, so utt=c2uxx; u(t,0)=u(t,L)=0; u(0,x)=sin⁡(πx/L)=F(x); and ut(0,x)=ω1sin⁡(πx/L)=G(x).

3.1step 1.1L2algebra∎

For the constant of the theorem, M5=sup⁡∣F(5)∣=(π/L)5 and M4=sup⁡∣G(4)∣=(cπ/L)(π/L)4=cπ5/L5. Hence C=2(2L5(π/L)5π5+2L5cπ5/L5cπ5)=2(2+2)=8. Since the exact tail vanishes for N≥1, the bound ∣u−uN∣≤8(N+1)−4 holds trivially for every N≥1.

Remarks

  • The finite datum exercises the theorem without any infinite tail; the numerical bound 8(N+1)−4 is valid because the general constant is valid, and the example shows explicitly that the general bound is not claimed to be sharp.
CounterexampleConstruction: AI-generatedVerification: AI-adaptedOpen item page →

FALSE: the O(N−4) sine-tail bound holds for every continuous odd periodic function. A C1 datum with coefficients n−3 refutes it

Statement refuted

False statement. For every continuous odd 2L-periodic function F there is a constant CF such that, for every N≥1,

sup⁡x∈R∣F(x)−SNsF(x)∣≤CF (N+1)−4,

where SNsF is the N-th partial sum of the sine series of Sine coefficients, sine series and the odd periodic extension.

(The theorem of this collection proves the bound only under the C5 hypothesis of The classical C2 fixed-end string: the sine series solves the wave equation with the given data, uniquely, with an explicit tail bound; the statement above drops that hypothesis, and that is exactly what fails.)

Facts & Assumptions

Given: A period L>0 and the function F:R→R defined by the absolutely convergent series

F(x):=∑n≥1n−3sin⁡(nπxL).

[L1]

Convergence and regularity: ∑n−3<∞ and ∑n−2<∞, so by the Weierstrass majorant test the series for F and for the formal derivative ∑(π/L)n−2cos⁡(nπx/L) converge uniformly; hence F is continuous, odd and 2L-periodic; applying If continuously differentiable functions converge at one point and their derivatives converge uniformly on a closed interval, then the functions converge uniformly to a differentiable function whose derivative is the derivative limit to partial sums on each compact interval gives C1 regularity with the displayed derivative (The Weierstrass M-test gives absolute pointwise convergence and uniform convergence of a function series, A series of real-valued functions and its pointwise and uniform convergence through its partial sums, The uniform limit of continuous real-valued functions on a metric space is continuous, Ck Euclidean maps and diffeomorphisms).

[L3]

For fixed N, put PN,m:=∑n=N+1mn−3sin⁡(nπx/L). Finite expansion and orthogonality give ∫0LPN,m2=L2∑n=N+1mn−6. The tails PN,m converge uniformly to RN, are uniformly bounded, and therefore their squares converge uniformly too. The uniform integral-error bound yields ∫0LRN2=L2∑n>Nn−6 (Sine orthogonality on a half period and the full-period integrals of odd 2L-periodic functions, Integrable functions on [a,b] form a set closed under sums and scalar multiples, and ∫ab(λf+μg)=λ∫abf+μ∫abg, Uniformly close integrable functions have integrals differing by at most the interval length times their uniform error).

[L4]

For every integer M>N, the decreasing function x↦x−6 satisfies ∑n=N+1Mn−6≥∫N+1M+1x−6dx=15((N+1)−5−(M+1)−5): on each [n,n+1], x−6≤n−6. The series converges by the integral test, so letting M→∞ gives ∑n>Nn−6≥15(N+1)−5 (The integral test: for f≥0 nonincreasing on [0,∞), ∑kf(k) converges if and only if the sequence (∫0Nf)N is bounded, with ∫0Nf≤∑k<Nf(k)≤f(0)+∫0Nf, The first fundamental theorem: if f is integrable on [a,b] and continuous at c, then F′(c)=f(c); in particular a continuous f has F as a primitive).

Counterexample

technique · direct; the tail's $L^2$ norm forces its sup norm to exceed any $C(N+1)^{-4}$ along a subsequence
1.1givenL1L2L3L4algebra

By [L2] each SNsF=∑n≤Nn−3sin⁡(nπx/L) is continuous, and F is continuous by [L1]; hence each RN is continuous and 2L-periodic. By [L3] and [L4], ∫0LRN(x)2dx=L2∑n>Nn−6 ≥ L10(N+1)−5.

2.1step 1.1L1algebra

Since RN is continuous on the compact interval [0,L] by [L1], its squared sup norm dominates its mean: sup⁡xRN(x)2≥1L∫0LRN2dx≥110(N+1)−5. Taking square roots, sup⁡x∈R∣F(x)−SNsF(x)∣ ≥ 110 (N+1)−5/2.

3.1step 2.1algebra∎

Suppose a constant CF satisfied the false statement's bound for all N. Then for every N, 110(N+1)−5/2≤CF(N+1)−4, i.e. CF≥110(N+1)3/2; letting N→∞ gives CF≥+∞, a contradiction. Hence no such CF exists, and the false statement is refuted.

Remarks

  • The datum is C1 and is not C5: otherwise the coefficient-decay lemma would bound n−3 by a fixed multiple of n−5 for every n, which is impossible. Nonabsolute convergence of a formally differentiated series alone would not prove failure of C2 regularity. The counterexample refutes the hypothesis-free estimate; it does not claim C5 is necessary for every datum having an O(N−4) tail.

  • The lower bound uses the L2 tail of the sine coefficients; it shows the tail cannot be better than order N−5/2 in sup norm for this datum, while any O(N−4) assertion would require the considerably faster decay of the C5 class.

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Riemann data uL=3, uR=1: shock speed and entropy coefficients, and a rarefaction check

Example

Assume ACω (The Axiom of Countable Choice (ACω)) for the cited Lebesgue weak/entropy formulation.

Take uL=3>uR=1 in the shock of Riemann shock and rarefaction waves for ut+(u2/2)x=0 are weak solutions, and the shock is an entropy solution. The shock speed is s=uL+uR2=2. For the entropy pair (ηk,qk):

  • for k=2, which lies strictly between uR=1 and uL=3, the interface coefficient is s[η2]−[q2]=1;
  • for k=0, which lies outside the interval [1,3], the coefficient is s[η0]−[q0]=0;

both nonnegative, in accordance with the theorem's closed formula s[ηk]−[qk]=−(k−uL)(k−uR) in the interior case and =0 in the exterior case.

For the rarefaction with uL=1<uR=3, the fan u=x/t satisfies ut+uux=0 identically, and the entropy residuals vanish because the fan is continuous.

Facts & Assumptions

Verification

technique · direct; substitute the explicit data into the closed formulas
1.1givenL1algebra

For k=2: [η2]=∣uR−2∣−∣uL−2∣=1−1=0, and [q2]=sgn⁡(uR−2)uR2−42−sgn⁡(uL−2)uL2−42=(−1)1−42−(1)9−42=32−52=−1. Hence s[η2]−[q2]=0−(−1)=1=−(2−3)(2−1), the interior formula.

1.2givenL1algebra

For k=0: [η0]=1−3=−2 and [q0]=12−92=−4, so s[η0]−[q0]=2(−2)−(−4)=0, the exterior value; both computed coefficients are ≥0 as the theorem requires.

1.3givenL2algebra

For the rarefaction at t=1 and 1<x<3: u=x, and by [L2] with t=1, ut=−x, ux=1, so ut+uux=−x+x=0.

2.1step 1.1step 1.2step 1.3L1L2algebra∎

The computations instantiate the theorem's weak-solution and entropy identities at explicit data: the interior entropy coefficient is positive, the exterior one vanishes, and the rarefaction branch satisfies the equation pointwise.

Remarks

  • This is a finite check of the closed formulas; it does not test the general weak formulation beyond the stated Riemann profiles, and the numerical values 3,1,2,0 are chosen only to exhibit both the interior and the exterior case of the entropy coefficient.
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Numerical checks for channel flows: h=η=1, G=12 gives flux 1 and centre speed 3/2, and V=2 gives shear 2

Example

Take h=1, η=1 in the plane channel of Exact plane Poiseuille and Couette flows of the incompressible Newtonian model, with flux and ansatz uniqueness.

  1. Poiseuille, G=12. The profile is v(y)=6y(1−y); its flux per unit width is 1 and its maximal speed is v(1/2)=3/2.

  2. Couette, V=2. The profile is v(y)=2y; the only nonzero entry of Du is ∂yu1=2, so the antisymmetric part of the velocity gradient has magnitude 1 in the relevant off-diagonal slots and the flow is not irrotational.

Facts & Assumptions

[L1]

Poiseuille: v(y)=Gy(h−y)2η has flux Gh312η (Exact plane Poiseuille and Couette flows of the incompressible Newtonian model, with flux and ansatz uniqueness).

Verification

technique · direct substitution into the closed formulas
1.1givenL1algebra

With h=η=1 and G=12: v(y)=12y(1−y)2=6y(1−y), so v(1/2)=6⋅12⋅12=32; the flux is 12⋅1312⋅1=1.

1.2givenL2algebra

With h=1 and V=2: v(y)=2y, so ∂yu1=2 and all other first partial derivatives of u vanish; the antisymmetric part of Du is the matrix with entries ±1 in positions (1,2),(2,1) and zeros elsewhere, nonzero.

2.1step 1.1step 1.2algebra∎

The two substitutions reproduce the flux and centre-speed numbers of the Poiseuille profile and the nonzero shear of the Couette profile; no boundary-value problem beyond the explicit profiles is solved.

Remarks

  • The numbers h=η=1 and G=12, V=2 are chosen to give exact arithmetic; they are not measurements and carry no empirical claim about any fluid.
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A four-node cyclic chain mode with a=c=1: exact ODE check, dispersion value ω2=2, and the continuum error bound

Example

Take N=4, a=1, c=1 in the cyclic chain of The cyclic spring chain, its discrete energy, and the finite-regularity periodic comparison class. The wave number κ=π/2 gives

ω2=4c2a2sin⁡2(κa2)=4sin⁡2(π4)=2,ω=2,

and the profile qj(t)=cos⁡(πj2−2 t), j∈Z/4, solves the chain equation exactly; the continuum comparison at this wave number gives the exact error ∣ω2−c2κ2∣=π24−2 against the exact bound c2κ4a212=π4192.

Facts & Assumptions

Given: N=4, a=1, c=1, κ=π/2, ω=2 and qj(t)=cos⁡(κj−ωt).

[L1]

For nonzero amplitude and cyclic compatibility κNa∈2πZ, the ansatz solves the cyclic chain for all t if and only if ω2=4c2a2sin⁡2(κa/2); and when this relation holds and ∣κa∣≤1, ∣ω2−c2κ2∣≤c2κ4a2/12 (Exact dispersion relation ω2=(4c2/a2)sin⁡2(κa/2) for the cyclic chain and its continuum error bound).

[L3]

The global scalar calculation of Exact dispersion relation ω2=(4c2/a2)sin⁡2(κa/2) for the cyclic chain and its continuum error bound (Proof 1.2 and 3.1 and final Remark) establishes ∣sin⁡z−z∣≤∣z∣3/6 and ∣4sin⁡2z−4z2∣≤4∣z∣4/3 for every real z; the restricted statement is not needed for this global trigonometric estimate. The exact values sin⁡(π/2)=1, cos⁡(π/2)=0 from Quarter-turn values and shifts by pi/2 and pi and the double-angle identity give sin⁡2(π/4)=cos⁡2(π/4)=1/2.

Verification

technique · direct; substitute the numbers into the dispersion relation and evaluate the error bound
1.1givenL1L2algebra

Dispersion: 4c2a2sin⁡2(κa/2)=4sin⁡2(π/4)=4⋅12=2, so by [L1] the ansatz with ω=2 solves the chain equation; explicitly, qj′′=−2qj and (qj+1−2qj+qj−1)=−2qj by [L2], matching the equation qj′′=(qj+1−2qj+qj−1).

2.1step 1.1L1L3algebra

Error bound: put z:=κa/2=π/4. By [L3], twice integrating ∣sin⁡r∣≤∣r∣ gives ∣cos⁡s−1∣≤s2/2 and ∣sin⁡z−z∣≤∣z∣3/6; also ∣sin⁡z+z∣≤2∣z∣. Hence ∣4sin⁡2z−4z2∣≤4∣sin⁡z−z∣∣sin⁡z+z∣≤4∣z∣4/3, so ∣ω2−c2κ2∣≤c2κ4a2/12=π4/192 directly at this compatible mode. The exact error is ∣2−π2/4∣=π2/4−2, as follows without a numerical bound on π: for z=π/4>0, ∣cos⁡s∣≤1 on [0,z] and ∣cos⁡z∣=1/2<1. Continuity gives a nonempty terminal interval where ∣cos⁡s∣<1, so The second fundamental theorem: if G is differentiable on [a,b] with G′=f and f is integrable, then ∫abf=G(b)−G(a) gives ∣sin⁡z∣=∣∫0zcos⁡s ds∣<z. Thus 4z2>4sin⁡2z=2. Moreover ∣sin⁡z+z∣<2z, so the same remainder product gives a strictly smaller error than π4/192. This proves the exact comparison without applying the supplier's restricted ∣κa∣≤1 clause at κa=π/2.

3.1step 1.1step 2.1algebra∎

The example verifies the exact discrete dispersion at explicit parameters and checks that the continuum error bound is satisfied, not saturated, at this wave number.

Remarks

  • The arithmetic is exact for the dispersion value and for both closed forms; the comparison of the two π-expressions follows from the global sine-remainder estimate, with values strictly less than the bound (the error is about 0.467 against a bound of about 0.507). No physical identification of the chain parameters is asserted.

Sources