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9 results · all verified · 5 also independently AI-judged
Every result on this page is machine-checked by a proof checker and read in full and owner-audited; the judge is an additional, independent cross-model AI review of the proofs. The 4 not AI-judged were verified by owner audit (typically over a confirmed judge false positive), not failures.

Trigonometric and Oscillatory Examples in One Variable

1 · Prerequisites

2 · Summary

Sine and cosine are available with their derivative, period, and inverse-function laws. Uniform convergence and polynomial approximation supply the M-test, continuity of uniform limits, and a route to decay of oscillatory integrals. The arc-length formula and the connectedness of intervals, continuous images, and closures support geometric oscillations, while the metric completeness and inverse-tangent results distinguish topological structure from metric properties.

The development proves unit Lipschitz estimates for sine and cosine, defines the classical Weierstrass series, and isolates probe-point, low-frequency, and tail estimates that force nowhere differentiability under Weierstrass's restrictive parameter condition. Polynomial approximation and integration by parts yield the continuous Riemann–Lebesgue lemma, while a finite exponential-sum calculation gives the sine-harmonic identity used by Dirichlet's test. These results support reciprocal oscillators, sine harmonics, the topologist's sine curve, elliptic arc length, tangent homeomorphisms, and the harmonic sine series.

3 · Logical flowchart

4 · Definitions, theorems and proofs

CorollaryStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (deepseek-v4-pro + gpt-5.6-terra)audited 2026-08-21Open item page →

Sine and cosine are 1-Lipschitz on R

Statement

For all real u,v,

sinusinvuv,

and

cosucosvuv.

Thus sine and cosine are Lipschitz functions on R, each with Lipschitz constant 1.

Facts & Assumptions

Given: Real numbers u,v and the functions sine and cosine on R.

[L1]

The functions sin and cos are differentiable on R, with (sinx)=cosx and (cosx)=sinx (The derivatives of sine and cosine are cosine and minus sine).

[L2]

For every real x, sinx1 and cosx1 (Parity and the Pythagorean identity for sine and cosine).

[L3]

A function differentiable on a set is continuous at every point of that set (A function differentiable at c is continuous at c).

[L4]

If IR is order-convex, f:IR is continuous on I and differentiable at every interior point, and f(x)M there for some M0, then f(x)f(y)Mxy for all x,yI (If f is continuous on an interval I and fM at every interior point, then f(x)f(y)Mxy for all x,yI, so f is Lipschitz with constant M and uniformly continuous on I).

Proof

technique · direct
1.1

By [L1] and [L2], sinx=cosx1 and cosx=sinx1 for every real x; both functions are continuous on R by [L3].

L1L2L3
2.1

Apply [L4] to sine on the order-convex set R with M=1: sinusinvuv.

step 1.1L4
3.1

Apply [L4] to cosine on the same set with M=1: cosucosvuv.

step 1.1L4
DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (deepseek-v4-pro + gpt-5.6-terra)audited 2026-08-21Open item page →

The classical Weierstrass function

Definition

Let 0<a<1 and let b>1 be an odd integer. The integers and rationals are identified with their canonical copies in R (The integers as equivalence classes of pairs of naturals, The integers embed in the rationals, The rationals embed densely in the reals), and powers are those of Integer powers am. The classical Weierstrass function with parameters a,b is

Wa,b(x):=n=0ancos(bnπx).

The sum begins at n=0. Its existence at every real x, and the fact that it defines a continuous real function, are proved in The classical Weierstrass series converges uniformly to a continuous function .

Remarks

The restriction that b be odd is not needed for convergence. It enters the probe-point identities used in the nowhere-differentiability argument, where odd powers preserve parity.

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (deepseek-v4-pro + gpt-5.6-terra)audited 2026-08-21Open item page →

The classical Weierstrass series converges uniformly to a continuous function

Statement

Let 0<a<1 and let b>1 be an odd integer, and let Wa,b be the series of The classical Weierstrass function. The series defining Wa,b converges absolutely at every real point and uniformly on R.

Its sum Wa,b:RR is continuous. If

SN(x):=n=0Nancos(bnπx),

then the partial sums converge uniformly to Wa,b on R.

Facts & Assumptions

Given: Parameters 0<a<1 and an odd integer b>1, with summands fn(x):=ancos(bnπx) and partial sums SN.

[L1]

For every real x, cosx1 (Parity and the Pythagorean identity for sine and cosine).

[L2]
[L3]

If fk(x)Mk for all k and x, where the nonnegative scalar series Mk converges, then fk(x) converges absolutely at every x and the function series converges uniformly (The Weierstrass M-test gives absolute pointwise convergence and uniform convergence of a function series).

[L4]

The functions sin and cos are differentiable on R (The derivatives of sine and cosine are cosine and minus sine).

[L5]

A differentiable real function is continuous at every point where it is differentiable (A function differentiable at c is continuous at c).

[L8]

A uniform limit of continuous real-valued functions on a metric space is continuous (The uniform limit of continuous real-valued functions on a metric space is continuous).

Proof

technique · direct
1.1

For every nN and xR, fn(x)=ancos(bnπx)an.

givenL1algebra
1.2

Since 0<a<1, the majorant series n=0an converges, including its first term a0=1.

givenL2
1.3

Cosine is continuous by [L4] and [L5]; the map xbnπx is a polynomial and hence continuous by [L9], so each fn is continuous by [L7], and every finite partial sum SN is continuous by [L6].

L4L5L6L7L9
2.1

Applying [L3] to steps 1.1 and 1.2 proves absolute convergence at every real point and uniform convergence of the partial sums to Wa,b on R.

step 1.1step 1.2L3
3.1

The functions SN are continuous by step 1.3 and converge uniformly by step 2.1, so [L8] makes their sum Wa,b continuous.

step 1.3step 2.1L8
LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passaudited 2026-08-21Open item page →

Nearest-integer probe points for the Weierstrass function

Statement

Let 0<a<1, let b>1 be an odd integer, and fix x0R. For each mN, define

km:=bmx0+12,zm:=bmx0km,xm:=km+1bm.

Then km is an integer, 1/2zm<1/2, and 0<xmx03/(2bm) and xmx0.

For every nm, cos(bnπxm)=(1)km and cos(bnπx0)=(1)kmcos(bnmzmπ).

Facts & Assumptions

Given: Parameters and points as in the Statement.

[L1]

In the classical Weierstrass construction, 0<a<1 and b>1 is an odd integer (The classical Weierstrass function).

[L2]

For every real x there is exactly one integer k with kx<k+1, namely k=x (Integer part: for every real x there is exactly one integer m with mx<m+1).

[L4]

For all reals x,y, cos(x+y)=cosxcosysinxsiny (The addition formulas for sine and cosine).

[L6]

For every real x, sin(x+π)=sinx and cos(x+π)=cosx, with sin0=0 and cos0=1 (Quarter-turn values and shifts by pi/2 and pi, The derivatives of sine and cosine are cosine and minus sine).

Proof

technique · direct
1.1

Apply [L2] to bmx0+1/2. The resulting integer km satisfies kmbmx0+1/2<km+1, hence 1/2zm=bmx0km<1/2.

L1L2constructalgebra
2.1

Since xmx0=(1zm)/bm, step 1.1 and bm>0 give 0<xmx03/(2bm).

step 1.1algebra
3.1

Let ε>0. By [L3], for all sufficiently large m one has bm>3/(2ε), hence step 2.1 gives 0<xmx03/(2bm)<ε. Thus xmx0.

step 2.1L3algebra
4.1

For nm, the integer bnm is odd. The identities bnxm=bnm(km+1) and bnx0=bnm(km+zm), followed by repeated use of [L4] to shift through integer multiples of π, give the two asserted cosine values; oddness preserves the parity of km and reverses the parity of km+1.

step 1.1L1L4L5L6algebra
LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passjudge pass (deepseek-v4-pro + gpt-5.6-terra)audited 2026-08-21Open item page →

Low-frequency bound for the Weierstrass difference quotient

Statement

Use the parameters and probe points of Nearest-integer probe points for the Weierstrass function, and suppose ab>1. Put

Am:=n<man(cos(bnπxm)cos(bnπx0)).

Then A0=0 and, for every mN,

Amπ(xmx0)(ab)m1ab1.

In particular, for every m1,

Am<π(ab)m(xmx0)/(ab1).

Facts & Assumptions

Given: Parameters 0<a<1, an odd integer b>1 with ab>1, a real x0, and the associated probes xm.

[L1]

cosucosvuv for all real u,v (Sine and cosine are 1-Lipschitz on R).

[L2]

The probes satisfy 0<xmx03/(2bm) (Nearest-integer probe points for the Weierstrass function).

[L3]

Finite sums satisfy n<0cn=0 and n<m+1cn=n<mcn+cm (Finite sums and finite products, by recursion).

[L4]

Finite sums preserve termwise inequalities and commute with scalar multiplication (Laws of finite sums and finite products, claims 2 and 4).

[L5]

For reals x,y, x+yx+y (The triangle inequality).

[L6]

The number π=2γ is positive because the smallest positive zero of cosine satisfies γ(0,2) (Pi as twice the smallest positive zero of cosine, Cosine has a smallest positive zero, lying strictly between zero and two).

Proof

technique · direct
1.1

The displayed finite sum defines Am, and [L3] gives A0=0.

givenL2L3construct
1.2

Multiplying the finite sum n<m(ab)n by ab1 and telescoping gives (ab1)n<m(ab)n=(ab)m1, including at m=0; since ab1>0, n<m(ab)n=(ab)m1ab1.

givenL3algebra
2.1

Repeated use of [L5], followed by [L1] on each summand and [L4], gives Amn<manbnπxmx0=π(xmx0)n<m(ab)n, where [L2] supplies xmx0>0 and [L6] supplies π>0.

step 1.1L1L2L4L5L6algebra
3.1

Substitute step 1.2 into step 2.1. For m1, one has (ab)m1<(ab)m and the other factors are positive, so the strict displayed bound follows; at m=0, the non-strict formula already gives A0=0.

step 1.2step 2.1algebra
LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passjudge pass (deepseek-v4-pro + gpt-5.6-terra)audited 2026-08-21Open item page →

The Weierstrass tail has one sign and dominates at the probe points

Statement

Use the parameters and probe points of Nearest-integer probe points for the Weierstrass function. Put

Bm:=n=man(cos(bnπxm)cos(bnπx0)).

This tail converges absolutely, all of its summands have the same weak sign, and

Bm(2/3)(ab)m(xmx0).

Facts & Assumptions

Given: Parameters 0<a<1, an odd integer b>1, a real x0, and the associated km,zm,xm.

[L1]

The series defining Wa,b converges absolutely at every real point (The classical Weierstrass series converges uniformly to a continuous function).

[L2]

For every nm, cos(bnπxm)=(1)km and cos(bnπx0)=(1)kmcos(bnmzmπ) (Nearest-integer probe points for the Weierstrass function).

[L3]

The probes satisfy 1/2zm<1/2 and 0<xmx03/(2bm) (Nearest-integer probe points for the Weierstrass function).

[L4]

Cosine is strictly decreasing on [0,π], strictly increasing on [π,0] by parity, and has range [1,1] (Signs, monotonicity intervals, and ranges of sine and cosine, Parity and the Pythagorean identity for sine and cosine).

[L5]
[L6]

If a convergent real sequence is eventually nonnegative, then its limit is nonnegative; more generally, eventual non-strict inequalities pass to limits (Limits preserve non-strict inequalities).

[L7]

The number π=2γ is positive because the smallest positive zero of cosine satisfies γ(0,2) (Pi as twice the smallest positive zero of cosine, Cosine has a smallest positive zero, lying strictly between zero and two).

Proof

technique · direct
1.1

Absolute convergence in [L1] licenses subtraction of the two convergent series and defines the displayed tail Bm.

L1construct
1.2

Since zm1/2 and π>0 by [L7], parity and monotonicity in [L4], together with [L5], give cos(zmπ)=cos(zmπ)cos(π/2)=0.

L3L4L5L7
2.1

By [L2], every summand of Bm is (1)kman(1+cos(bnmzmπ)). The parenthesized factor is nonnegative by the range clause of [L4], so the partial sums share one weak sign. Their absolute values therefore converge to Bm and dominate the absolute value of the n=m term by [L6]; step 1.2 makes that term at least am. Hence Bmam.

step 1.1step 1.2L2L4L6algebra
3.1

The upper bound in [L3] gives 1(2bm/3)(xmx0). Multiplying step 2.1 by this nonnegative bound yields Bm(2/3)(ab)m(xmx0).

step 2.1L3algebra
TheoremStatement: AI-adaptedProof: AI-adaptedprecheck passaudited 2026-08-21Open item page →

Under ab>1+3π/2, the classical Weierstrass function is continuous everywhere and differentiable nowhere

Statement

Let 0<a<1, let b>1 be an odd integer, and let Wa,b be the classical Weierstrass function (The classical Weierstrass function). If ab>1+3π/2, then Wa,b is continuous at every real point and differentiable at no real point.

Facts & Assumptions

Given: Parameters 0<a<1 and an odd integer b>1 satisfying ab>1+3π/2, and an arbitrary point x0R.

[L1]
[L2]

For every m1, the low-frequency increment at the probes satisfies Am<π(ab)m(xmx0)/(ab1) (Low-frequency bound for the Weierstrass difference quotient).

[L3]

For the tail increment at the same probes, Bm(2/3)(ab)m(xmx0) (The Weierstrass tail has one sign and dominates at the probe points).

[L5]

Differentiability at x0 requires the finite limit of (Wa,b(x)Wa,b(x0))/(xx0) as xx0 (The derivative f(c)=limxcf(x)f(c)xc of f:AR at a point cA that is a limit point of A, and differentiability on a set).

[L6]

The probes satisfy xm>x0 and xmx0 (Nearest-integer probe points for the Weierstrass function).

[L7]

The number π=2γ is positive because the smallest positive zero of cosine satisfies γ(0,2) (Pi as twice the smallest positive zero of cosine, Cosine has a smallest positive zero, lying strictly between zero and two).

Proof

technique · direct
1.1

Fix x0 and use [L6] for its probe sequence (xm). Continuity at x0 already follows from [L1].

givenL1L6
1.2

The hypothesis ab>1+3π/2 and positivity of π give ab>1 and c:=23πab1>0.

givenL7algebra
2.1

For m1, splitting the series increment at frequency m gives Wa,b(xm)Wa,b(x0)=Am+Bm. The reverse triangle inequality and [L2] to [L3] yield Wa,b(xm)Wa,b(x0)(ab)m(23πab1)(xmx0).

step 1.1L2L3algebra
3.1

Since xmx0>0, divide step 2.1 by it. Step 1.2 and [L4] show that the absolute values of the selected difference quotients are at least c(ab)m and tend to +.

step 1.2step 2.1L4algebra
4.1

Although xmx0, the difference quotients along this sequence have no finite limit by step 3.1, so [L5] rules out differentiability at x0. The point x0 was arbitrary, while [L1] gives continuity everywhere. Then Wa,b is continuous at every real point and differentiable at no real point.

step 1.1step 3.1L1L5
CorollaryStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-08-21Open item page →

A uniform limit of smooth functions need not be differentiable anywhere

Statement

There is a sequence of smooth functions SN:RR that converges uniformly on R to a continuous function which is differentiable at no real point. Consequently, uniform convergence does not preserve even first differentiability, despite every approximating function being C.

Facts & Assumptions

Given: The Weierstrass partial sums SN(x)=n=0Nancos(bnπx).

[L1]

A function is smooth, or C, when it is Ck for every kN (Higher derivatives and the classes Ck and C).

[L2]

The partial sums of the classical Weierstrass series converge uniformly to Wa,b on R (The classical Weierstrass series converges uniformly to a continuous function).

[L3]

If 0<a<1, b>1 is an odd integer, and ab>1+3π/2, then Wa,b is continuous everywhere and differentiable nowhere (Under ab>1+3π/2, the classical Weierstrass function is continuous everywhere and differentiable nowhere).

[L4]

Sine and cosine are differentiable on R, and their derivatives are cosine and negative sine (The derivatives of sine and cosine are cosine and minus sine).

[L6]

Differentiable real functions are continuous (A function differentiable at c is continuous at c).

[L7]

There is a unique γ(0,2) with cosγ=0, and π=2γ (Cosine has a smallest positive zero, lying strictly between zero and two, Pi as twice the smallest positive zero of cosine).

Proof

technique · direct
1.1

Choose a=1/2 and b=15. The integer 15 is odd, and [L7] gives π<4, so 1+3π/2<7<15/2=ab; all hypotheses of [L3] hold.

L3L7choosealgebra
1.2

Repeated application of [L4] and [L5] shows that every derivative of every finite partial sum SN is a finite linear combination of sine and cosine functions. Those derivatives are continuous by [L6], so each SN is smooth in the sense of [L1].

L1L4L5L6algebra
2.1

By [L2], the smooth functions from step 1.2 converge uniformly on R to W1/2,15.

step 1.2L2
2.2

The parameter check in step 1.1 lets [L3] identify this uniform limit as continuous everywhere and differentiable nowhere.

step 1.1L3
3.1

Thus the sequence in step 2.1 consists of smooth functions and converges uniformly to the nowhere-differentiable function in step 2.2.

step 2.1step 2.2
TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passaudited 2026-08-21Open item page →

Riemann–Lebesgue lemma for continuous functions on a compact interval

Statement

Let a<b and let f:[a,b]R be continuous. For positive integer n, put

In:=abf(t)sin(nt)dt,Jn:=abf(t)cos(nt)dt.

Then

limnIn=0,limnJn=0.

In particular, for every continuous g:[0,π]R, limn0πg(x)sin(nx)dx=0.

Facts & Assumptions

Given: Reals a<b, a continuous f:[a,b]R, and a real ε>0.

[L1]

For ab, every continuous real function on [a,b] is a uniform limit of polynomials (Polynomials are uniformly dense in C([a,b],R) for every closed interval).

[L2]

If integrable functions u,v satisfy u(x)v(x)η between endpoints, then uvη times the endpoint distance (Uniformly close integrable functions have integrals differing by at most the interval length times their uniform error).

[L3]

If u,v are differentiable on [a,b] with integrable derivatives, then abuv=u(b)v(b)u(a)v(a)abuv (If u,v are differentiable on [a,b] with u,v integrable, then abuv=u(b)v(b)u(a)v(a)abuv).

[L4]

The derivative formulas for sine and cosine, together with the chain rule, give (sinnt)=ncosnt and (cosnt)=nsinnt for positive integers n (The derivatives of sine and cosine are cosine and minus sine, The chain rule, in one line from Carathéodory: if g is differentiable at c and f is differentiable at g(c), then fg is differentiable at c with (fg)(c)=f(g(c))g(c)).

[L8]

For every real η>0 there is a positive integer N with 1/N<η (For every ε>0 in a complete ordered field there is a natural n1 with 1/n<ε).

[L9]

For every real x, sinx1 and cosx1 (Parity and the Pythagorean identity for sine and cosine).

[L10]

The number π=2γ is positive because the smallest positive zero of cosine satisfies γ(0,2) (Pi as twice the smallest positive zero of cosine, Cosine has a smallest positive zero, lying strictly between zero and two).

[L12]

A real sequence converges to zero when, for every positive rational ε, its terms are eventually smaller than ε in absolute value (Limits and Cauchy sequences of reals).

Proof

technique · direct
1.1

By [L1], choose a polynomial p with f(t)p(t)<ε/(4(ba)) for every t[a,b].

givenL1choose
1.2

Put Cp:=p(a)+p(b)+abp(t)dt. Using v(t)=cos(nt)/n in [L3], and then [L6], [L7], [L9], and [L11], gives abp(t)sin(nt)dtCp/n. Using v(t)=sin(nt)/n gives the identical bound for the cosine integral.

L3L4L5L6L7L9L11algebra
1.3

Apply [L8] to ε/(2(Cp+1)) and choose a positive integer N with (Cp+1)/N<ε/2. Then Cp/n<ε/2 whenever nN.

L8choosealgebra
2.1

The functions f(t)sin(nt) and p(t)sin(nt) are integrable, and [L2] with [L6] and [L9] gives ab(f(t)p(t))sin(nt)dtε/4<ε/2 for every positive integer n; the same estimate holds with cosine.

step 1.1L2L5L6L9algebra
3.1

For every nN, linearity [L7] splits each integral into its (fp) part and its p part. Steps 2.1, 1.2, and 1.3 make the absolute value of each integral less than ε, for sine and for cosine.

step 2.1step 1.2step 1.3L7algebra
4.1

Since ε>0 was arbitrary, step 3.1 is exactly convergence of both sequences of integrals to zero by [L12]; [L10] permits the substitution a=0, b=π, and g for f in the stated special case.

step 3.1L10L12
LemmaStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (deepseek-v4-pro + gpt-5.6-terra)audited 2026-08-21Open item page →

Finite sums of the sine harmonics

Statement

Let N be a positive integer. If x2πZ, then

n=1Nsin(nx)=cos(x/2)cos((N+1/2)x)2sin(x/2).

If x2πZ, then for every positive integer N, n=1Nsin(nx)1/sin(x/2).

If x2πZ, every summand is zero and the sum is zero.

Facts & Assumptions

Given: A real x and a positive integer N.

[L1]
[L2]

The sine and cosine addition formulas hold for all real arguments (The addition formulas for sine and cosine).

[L3]

sint=0 exactly at the integer multiples of π, and sine and cosine have period 2π (The zero sets of sine and cosine and the least positive common period 2 pi).

[L5]

Finite sums start with the empty sum and satisfy the recursive addition law (Finite sums and finite products, by recursion).

[L6]

For every real t, cost1 (Parity and the Pythagorean identity for sine and cosine).

[L7]

For all complex z,w, exp(z+w)=expzexpw (exp(z+w)=expzexpw, and the complex exponential extends the real exponential).

Proof

technique · cases
1.1

For the nonperiodic case, assume x2πZ and define the auxiliary complex sums recursively by S0=0 and Sj+1=Sj+ei(j+1)x. Multiplication by 1eix and the exponential addition law [L7] telescope directly to (1eix)SN=eixei(N+1)x. The half-angle identity 1eix=2ieix/2sin(x/2) and [L3] show that the multiplier is nonzero.

assume-case nonperiodicL1L2L3L7algebra
1.2

For the periodic case, assume x2πZ. Then every nx is a multiple of 2π, so sin(nx)=0 by [L3] and the finite sine sum is zero.

assume-case periodicL3L5
2.1

For the nonperiodic case, divide the identity in step 1.1 by its nonzero multiplier and use [L1] and [L2] to obtain SN=ei(N+1)x/2sin(Nx/2)sin(x/2).

step 1.1L1L2algebra
3.1

For the nonperiodic case, take imaginary parts in step 2.1 and apply the product-to-sum consequence of [L2] to get n=1Nsin(nx)=cos(x/2)cos((N+1/2)x)2sin(x/2).

step 2.1L1L2algebra
4.1

For the nonperiodic case, [L6] bounds the numerator in step 3.1 by 2, so the absolute value of the sum is at most 1/sin(x/2).

step 3.1L4L6algebra
5.1

The nonperiodic branch gives the displayed formula and bound by steps 3.1 and 4.1, while the periodic branch gives the separate zero value by step 1.2; the two cases exhaust all real x.

step 1.2step 3.1step 4.1cases-exhaustive
RemarkRemark: AI-adaptedProof: Not applicableaudited 2026-08-21Open item page →

Classical counterparts for the trigonometry-free oscillators

The Takagi series of The Takagi series converges uniformly to a continuous nowhere differentiable function and the classical Weierstrass function of Under ab>1+3π/2, the classical Weierstrass function is continuous everywhere and differentiable nowhere have the same regularity verdict, but their mechanisms differ: the Takagi proof uses dyadic affine slopes, while the Weierstrass proof uses trigonometric probes and a one-signed frequency tail.

The distance-to-the-integers oscillator is a trigonometry-free Lipschitz model; the classical estimates that replace it are the sine and cosine inequalities in Sine and cosine are 1-Lipschitz on R. For reciprocal oscillation, sin(1/x) has no limit as x tends to zero, x sin(1/x) tends to zero despite its oscillation, The extension of x^2 sin(1/x) by zero is differentiable but its derivative is discontinuous at zero, and x2sin(1/x2) has an unbounded, non-Riemann-integrable derivative record the undamped, once-damped, and twice-damped classical forms. The damping controls the value at zero, but differentiating can restore an oscillatory or unbounded term.

5 · Examples, counterexamples and false statements

None yet.

Sources