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Trigonometric and Oscillatory Examples in One Variable
1 · Prerequisites
- Absolute and Conditional Convergence; Rearrangement; Products
- Approximation and Compactness in C(K)
- Binary Operations, Monoids, Groups and Subgroups
- Compactness in Metric Spaces
- Completeness, Completion, and Uniform Continuity
- Construction of the Natural Numbers
- Construction of the Real Numbers via Cauchy Sequences
- Construction of the Real Numbers via Dedekind Cuts
- Continuity, IVT, EVT, and Uniform Continuity
- Cosets, Index and Lagrange's Theorem
- Countability and Uncountability
- Darboux, L'Hôpital, and Taylor's Theorem
- Divisibility, Euclidean Domains, Principal Ideal Domains and Unique Factorisation
- Filters and Ultrafilters
- Finite Counting, Factorials and Binomial Coefficients
- Foundations of the Real Numbers for Analysis
- Fundamental Trigonometric Identities
- Ideals, Quotient Rings and the Isomorphism Theorems for Rings
- Limits of Real Functions
- limsup, liminf, and Subsequential Limits
- Linear Independence, Bases and Dimension
- Linear Transformations, Rank-Nullity and Quotient Spaces
- Metric Spaces
- Monotone Functions, Discontinuities, and Continuity Sets
- Monotone Sequences, Bolzano-Weierstrass, and Cauchy Completeness
- Normal Subgroups and Quotient Groups
- Order, Zorn's Lemma, and the Axiom of Choice
- Polynomial Rings, the Division Algorithm and Roots
- Power Series and Real-Analytic Functions
- Properties of the Integral and the Working FTC
- Relations, Functions, and Quotients
- Rings, Subrings, Integral Domains and Fields
- Rⁿ as a Normed Space; Vector-Valued Functions
- Roots, Rational Powers, and Classical Inequalities
- Sequences and Limits
- Sequences and Series of Functions; Uniform Convergence
- Series: Convergence and the Nonnegative Tests
- Simple Field Extensions and the Construction of the Complex Numbers
- Sine, Cosine, and the Definition of Pi
- Suprema and Infima
- The Complex Exponential and Euler's Formula
- The Derivative and the Mean Value Theorems
- The Exponential Function
- The Riemann Integral: Definition and Integrability
- The ZFC Axioms and the Basic Set Constructions
- Topological Spaces and Continuity
- Topology of ℝ
- Vector Spaces, Linear Subspaces, Span and Direct Sums
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
Sine and cosine are -Lipschitz on
Statement
For all real ,
and
Thus sine and cosine are Lipschitz functions on , each with Lipschitz constant .
Facts & Assumptions
Given: Real numbers and the functions sine and cosine on .
The functions and are differentiable on , with and (The derivatives of sine and cosine are cosine and minus sine).
For every real , and (Parity and the Pythagorean identity for sine and cosine).
A function differentiable on a set is continuous at every point of that set (A function differentiable at is continuous at ).
If is order-convex, is continuous on and differentiable at every interior point, and there for some , then for all (If is continuous on an interval and at every interior point, then for all , so is Lipschitz with constant and uniformly continuous on ).
Proof
By [L1] and [L2], and for every real ; both functions are continuous on by [L3].
Apply [L4] to sine on the order-convex set with : .
Apply [L4] to cosine on the same set with : .
The classical Weierstrass function
Definition
Let and let be an odd integer. The integers and rationals are identified with their canonical copies in (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 . The classical Weierstrass function with parameters is
The sum begins at . Its existence at every real , 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 be odd is not needed for convergence. It enters the probe-point identities used in the nowhere-differentiability argument, where odd powers preserve parity.
The classical Weierstrass series converges uniformly to a continuous function
Statement
Let and let be an odd integer, and let be the series of The classical Weierstrass function. The series defining converges absolutely at every real point and uniformly on .
Its sum is continuous. If
then the partial sums converge uniformly to on .
Facts & Assumptions
Given: Parameters and an odd integer , with summands and partial sums .
For every real , (Parity and the Pythagorean identity for sine and cosine).
If , then the series converges (For , , and for the series diverges).
If for all and , where the nonnegative scalar series converges, then converges absolutely at every and the function series converges uniformly (The Weierstrass M-test gives absolute pointwise convergence and uniform convergence of a function series).
The functions and are differentiable on (The derivatives of sine and cosine are cosine and minus sine).
A differentiable real function is continuous at every point where it is differentiable (A function differentiable at is continuous at ).
Sums and scalar multiples of continuous real functions are continuous (Sums, scalar multiples, products, absolute values, maxima, minima and quotients with nonvanishing denominator of continuous functions are continuous, as are constants, the identity and every polynomial function, claim 1).
A composite of continuous maps is continuous (Continuity may be checked on any open cover, and on any finite closed cover; composites of continuous maps are continuous, claim 1).
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
For every and , .
Since , the majorant series converges, including its first term .
Cosine is continuous by [L4] and [L5]; the map is a polynomial and hence continuous by [L9], so each is continuous by [L7], and every finite partial sum is continuous by [L6].
Applying [L3] to steps 1.1 and 1.2 proves absolute convergence at every real point and uniform convergence of the partial sums to on .
The functions are continuous by step 1.3 and converge uniformly by step 2.1, so [L8] makes their sum continuous.
Nearest-integer probe points for the Weierstrass function
Statement
Let , let be an odd integer, and fix . For each , define
Then is an integer, , and and .
For every , and .
Facts & Assumptions
Given: Parameters and points as in the Statement.
In the classical Weierstrass construction, and is an odd integer (The classical Weierstrass function).
For every real there is exactly one integer with , namely (Integer part: for every real there is exactly one integer with ).
If , then diverges to (For the sequence is null, and for the sequence diverges to ).
For all reals , (The addition formulas for sine and cosine).
Both sine and cosine have period (The zero sets of sine and cosine and the least positive common period 2 pi).
For every real , and , with and (Quarter-turn values and shifts by pi/2 and pi, The derivatives of sine and cosine are cosine and minus sine).
Proof
Apply [L2] to . The resulting integer satisfies , hence .
Since , step 1.1 and give .
Let . By [L3], for all sufficiently large one has , hence step 2.1 gives . Thus .
For , the integer is odd. The identities and , followed by repeated use of [L4] to shift through integer multiples of , give the two asserted cosine values; oddness preserves the parity of and reverses the parity of .
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 . Put
Then and, for every ,
In particular, for every ,
Facts & Assumptions
Given: Parameters , an odd integer with , a real , and the associated probes .
for all real (Sine and cosine are -Lipschitz on ).
The probes satisfy (Nearest-integer probe points for the Weierstrass function).
Finite sums satisfy and (Finite sums and finite products, by recursion).
Finite sums preserve termwise inequalities and commute with scalar multiplication (Laws of finite sums and finite products, claims 2 and 4).
For reals , (The triangle inequality).
The number is positive because the smallest positive zero of cosine satisfies (Pi as twice the smallest positive zero of cosine, Cosine has a smallest positive zero, lying strictly between zero and two).
Proof
The displayed finite sum defines , and [L3] gives .
Multiplying the finite sum by and telescoping gives , including at ; since ,
Repeated use of [L5], followed by [L1] on each summand and [L4], gives where [L2] supplies and [L6] supplies .
Substitute step 1.2 into step 2.1. For , one has and the other factors are positive, so the strict displayed bound follows; at , the non-strict formula already gives .
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
This tail converges absolutely, all of its summands have the same weak sign, and
Facts & Assumptions
Given: Parameters , an odd integer , a real , and the associated .
The series defining converges absolutely at every real point (The classical Weierstrass series converges uniformly to a continuous function).
For every , and (Nearest-integer probe points for the Weierstrass function).
The probes satisfy and (Nearest-integer probe points for the Weierstrass function).
Cosine is strictly decreasing on , strictly increasing on by parity, and has range (Signs, monotonicity intervals, and ranges of sine and cosine, Parity and the Pythagorean identity for sine and cosine).
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).
The number is positive because the smallest positive zero of cosine satisfies (Pi as twice the smallest positive zero of cosine, Cosine has a smallest positive zero, lying strictly between zero and two).
Proof
Absolute convergence in [L1] licenses subtraction of the two convergent series and defines the displayed tail .
Since and by [L7], parity and monotonicity in [L4], together with [L5], give .
By [L2], every summand of is 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 and dominate the absolute value of the term by [L6]; step 1.2 makes that term at least . Hence .
The upper bound in [L3] gives . Multiplying step 2.1 by this nonnegative bound yields .
Under , the classical Weierstrass function is continuous everywhere and differentiable nowhere
Statement
Let , let be an odd integer, and let be the classical Weierstrass function (The classical Weierstrass function). If , then is continuous at every real point and differentiable at no real point.
Facts & Assumptions
Given: Parameters and an odd integer satisfying , and an arbitrary point .
The sum is continuous (The classical Weierstrass series converges uniformly to a continuous function).
For every , the low-frequency increment at the probes satisfies (Low-frequency bound for the Weierstrass difference quotient).
For the tail increment at the same probes, (The Weierstrass tail has one sign and dominates at the probe points).
If , then diverges to (For the sequence is null, and for the sequence diverges to ).
Differentiability at requires the finite limit of as (The derivative of at a point that is a limit point of , and differentiability on a set).
The probes satisfy and (Nearest-integer probe points for the Weierstrass function).
The number is positive because the smallest positive zero of cosine satisfies (Pi as twice the smallest positive zero of cosine, Cosine has a smallest positive zero, lying strictly between zero and two).
Proof
Fix and use [L6] for its probe sequence . Continuity at already follows from [L1].
The hypothesis and positivity of give and
For , splitting the series increment at frequency gives . The reverse triangle inequality and [L2] to [L3] yield
Since , divide step 2.1 by it. Step 1.2 and [L4] show that the absolute values of the selected difference quotients are at least and tend to .
Although , the difference quotients along this sequence have no finite limit by step 3.1, so [L5] rules out differentiability at . The point was arbitrary, while [L1] gives continuity everywhere. Then is continuous at every real point and differentiable at no real point.
A uniform limit of smooth functions need not be differentiable anywhere
Statement
There is a sequence of smooth functions that converges uniformly on 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 .
Facts & Assumptions
Given: The Weierstrass partial sums .
A function is smooth, or , when it is for every (Higher derivatives and the classes and ).
The partial sums of the classical Weierstrass series converge uniformly to on (The classical Weierstrass series converges uniformly to a continuous function).
If , is an odd integer, and , then is continuous everywhere and differentiable nowhere (Under , the classical Weierstrass function is continuous everywhere and differentiable nowhere).
Sine and cosine are differentiable on , and their derivatives are cosine and negative sine (The derivatives of sine and cosine are cosine and minus sine).
The chain rule and the sum and scalar-multiple rules compute derivatives of finite sums and affine composites (The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with , Sums, scalar multiples, products and quotients: , , , and when ).
Differentiable real functions are continuous (A function differentiable at is continuous at ).
There is a unique with , and (Cosine has a smallest positive zero, lying strictly between zero and two, Pi as twice the smallest positive zero of cosine).
Proof
Choose and . The integer is odd, and [L7] gives , so ; all hypotheses of [L3] hold.
Repeated application of [L4] and [L5] shows that every derivative of every finite partial sum is a finite linear combination of sine and cosine functions. Those derivatives are continuous by [L6], so each is smooth in the sense of [L1].
By [L2], the smooth functions from step 1.2 converge uniformly on to .
The parameter check in step 1.1 lets [L3] identify this uniform limit as continuous everywhere and differentiable nowhere.
Thus the sequence in step 2.1 consists of smooth functions and converges uniformly to the nowhere-differentiable function in step 2.2.
Riemann–Lebesgue lemma for continuous functions on a compact interval
Statement
Let and let be continuous. For positive integer , put
Then
In particular, for every continuous , .
Facts & Assumptions
Given: Reals , a continuous , and a real .
For , every continuous real function on is a uniform limit of polynomials (Polynomials are uniformly dense in for every closed interval).
If integrable functions satisfy between endpoints, then times the endpoint distance (Uniformly close integrable functions have integrals differing by at most the interval length times their uniform error).
If are differentiable on with integrable derivatives, then (If are differentiable on with integrable, then ).
The derivative formulas for sine and cosine, together with the chain rule, give and for positive integers (The derivatives of sine and cosine are cosine and minus sine, The chain rule, in one line from Carathéodory: if is differentiable at and is differentiable at , then is differentiable at with ).
Polynomials and their derivatives exist by the power and derivative-algebra rules; polynomials are continuous, differentiable functions are continuous, and continuous functions on are integrable (For a natural the function is differentiable everywhere with derivative ; for it is the constant , with derivative ; for a natural the function is differentiable at every with derivative ; consequently every polynomial function is differentiable at every real, with the derivative computed term by term, Sums, scalar multiples, products and quotients: , , , and when , Sums, scalar multiples, products, absolute values, maxima, minima and quotients with nonvanishing denominator of continuous functions are continuous, as are constants, the identity and every polynomial function, A function differentiable at is continuous at , A continuous function on is Riemann integrable, by Heine-Cantor and Riemann's criterion).
Absolute values and products of integrable functions are integrable (If are integrable on then so are , , , and , and , claim 1).
The integral is linear and monotone, and a constant has integral (Integrable functions on form a set closed under sums and scalar multiples, and , If on and both are integrable then ; and , If on then for every partition ; in particular every constant function is integrable, with ).
For every real there is a positive integer with (For every in a complete ordered field there is a natural with ).
For every real , and (Parity and the Pythagorean identity for sine and cosine).
The number is positive because the smallest positive zero of cosine satisfies (Pi as twice the smallest positive zero of cosine, Cosine has a smallest positive zero, lying strictly between zero and two).
If is integrable on , then (If are integrable on then so are , , , and , and , claim 3).
A real sequence converges to zero when, for every positive rational , its terms are eventually smaller than in absolute value (Limits and Cauchy sequences of reals).
Proof
By [L1], choose a polynomial with for every .
Put . Using in [L3], and then [L6], [L7], [L9], and [L11], gives Using gives the identical bound for the cosine integral.
Apply [L8] to and choose a positive integer with . Then whenever .
The functions and are integrable, and [L2] with [L6] and [L9] gives for every positive integer ; the same estimate holds with cosine.
For every , linearity [L7] splits each integral into its part and its part. Steps 2.1, 1.2, and 1.3 make the absolute value of each integral less than , for sine and for cosine.
Since was arbitrary, step 3.1 is exactly convergence of both sequences of integrals to zero by [L12]; [L10] permits the substitution , , and for in the stated special case.
Finite sums of the sine harmonics
Statement
Let be a positive integer. If , then
If , then for every positive integer , .
If , every summand is zero and the sum is zero.
Facts & Assumptions
Given: A real and a positive integer .
For real , and (, , and ).
The sine and cosine addition formulas hold for all real arguments (The addition formulas for sine and cosine).
exactly at the integer multiples of , and sine and cosine have period (The zero sets of sine and cosine and the least positive common period 2 pi).
Complex modulus is multiplicative and satisfies the triangle inequality (Conjugation is an involutive real-field automorphism, , and modulus is definite, multiplicative, and subadditive).
Finite sums start with the empty sum and satisfy the recursive addition law (Finite sums and finite products, by recursion).
For every real , (Parity and the Pythagorean identity for sine and cosine).
For all complex , (, and the complex exponential extends the real exponential).
Proof
For the nonperiodic case, assume and define the auxiliary complex sums recursively by and . Multiplication by and the exponential addition law [L7] telescope directly to . The half-angle identity and [L3] show that the multiplier is nonzero.
For the periodic case, assume . Then every is a multiple of , so by [L3] and the finite sine sum is zero.
For the nonperiodic case, divide the identity in step 1.1 by its nonzero multiplier and use [L1] and [L2] to obtain
For the nonperiodic case, take imaginary parts in step 2.1 and apply the product-to-sum consequence of [L2] to get
For the nonperiodic case, [L6] bounds the numerator in step 3.1 by , so the absolute value of the sum is at most .
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 .
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 , 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 -Lipschitz on . 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 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
- Jeff Calder, Weierstrass's Non-Differentiable Function, equation (2)
- Jeff Calder, Weierstrass's Non-Differentiable Function, Theorem 1
- John K. Hunter, An Introduction to Real Analysis, Example 9.24
- John K. Hunter, An Introduction to Real Analysis, Theorem 9.22 and Example 9.24
- Jeff Calder, Weierstrass's Non-Differentiable Function, equations (4) to (6)
- Jeff Calder, Weierstrass's Non-Differentiable Function, proof of Theorem 1, step 1
- Jeff Calder, Weierstrass's Non-Differentiable Function, proof of Theorem 1, step 2
- Jiří Lebl, Basic Analysis I, Exercise 5.2.18
- Jiří Lebl, Basic Analysis II, §11.8.4
- John K. Hunter, An Introduction to Real Analysis, Examples 6.10, 8.9 to 8.10, and 9.24
- Jeff Calder, Weierstrass's Non-Differentiable Function