For , the usual unit-circle area comparison, with angles measured in radians, gives . Hence
The cosine is a continuous function at zero, so the squeeze theorem yields the right-hand limit of a function . The quotient is even, so the left-hand limit of a function is the same. Thus the limit is .
Put . Since , the finite geometric series gives
where the second equality multiplies numerator and denominator by . Taking imaginary parts gives the finite trigonometric sum
Taking real parts of the same finite geometric series gives
The denominator is nonzero by the restriction on . Equivalently, these finite trigonometric sums are and , respectively.
Write . Using the complex conjugate, the squared complex modulus on the left is . Squaring the equality and dividing by , which is nonzero, gives
Completing the square identifies the candidate circle:
Its centre is on the real axis and its radius is in the complex plane.
It remains to exclude extraneous points introduced by squaring. On this circle, , so the original right-hand side satisfies
Thus taking the nonnegative square root recovers the original equality at every point of the circle. This is a circle from an affine complex-modulus equation, with the sign check essential to the geometric conclusion.
For a chord of length , consider the continuous function on . Since ,
An endpoint zero already supplies the chord. Otherwise the endpoint values have opposite signs, so the intermediate value theorem supplies at some . Thus a horizontal chord of length exists.
For each integer , define on . The sampled differences telescope:
If any sampled value is zero, it gives the required chord. Otherwise there must be both a positive and a negative sampled value. The intermediate value theorem, applied between their sample points, then gives . Hence a horizontal chord of length exists for every positive integer ; for , the endpoint chord itself suffices. This proves the horizontal chord of reciprocal-integer length result, without restricting to powers of two.
The intermediate value theorem says that if is a continuous function, then every value between and is attained at some point of .
Endpoint values are already attained. Suppose and define . It is nonempty and bounded above, so exists. Continuity at ensures that contains points to the right of , and continuity at ensures that no point sufficiently close to belongs to . Hence .
By the definition of the supremum, there are points of approaching . If , continuity would exclude all such nearby points from , a contradiction. If , continuity would put some point to the right of in , again a contradiction. Therefore . When , apply this argument to . This proves the intermediate value theorem in all cases.
Away from integer multiples of , the function is a composition of continuous functions. At zero, the bound gives by the squeeze theorem. This is oscillation multiplied by a vanishing amplitude.
Fix and set and . Then , , and
So is discontinuous at every nonzero integer multiple of . Its set of continuity points is
On , for , while . With as above, . Consequently the supremum is and is not attained. This illustrates that supremum can fail to be attained at an oscillatory endpoint.
On , set . It lies strictly inside the interval, and , so . Choose . On ,
On , is a continuous function, so the extreme value theorem gives a maximum there, at least . It exceeds every value on the discarded interval. Therefore does attain its supremum on . This is the interior-value criterion for an attained maximum.
Figure 1.
Oscillatory function near pi: an unattained left supremum and a right interior value above the endpoint envelope
. Details.
We use the Bolzano-Weierstrass theorem: every bounded real sequence has a convergent subsequence. If were unbounded on , there would be with . The Bolzano-Weierstrass theorem gives a subsequence , and the closed interval contains . Since is a continuous function, , contradicting . Thus is bounded.
Let . By the definition of the supremum, choose with . Again the Bolzano-Weierstrass theorem gives . Continuity yields . Applying the same argument to gives a point where attains its infimum. Therefore both the supremum and the infimum are attained. This proves the extreme value theorem for a closed bounded interval.
The Markov property and the Chapman-Kolmogorov equation give
For each intermediate state, one first uses the next-step transition probability and then the following one; the sampled history adds no information once is known. Thus is a homogeneous Markov chain with transition matrix and initial law . In particular,
If zero is not a state of , this probability is zero.
The sign of the Dirac delta distribution in the equation is positive after the outer minus sign is expanded. Integrating through zero, the nonsingular potential contributes a term tending to zero, whereas the delta term contributes . The jump condition for an impulse is therefore
Continuity at zero gives . The two one-sided derivatives are and , whose difference is exactly . Hence the matching condition introduces no further restriction on , and the globally bounded solution is
This continuous solution has precisely the derivative jump required for its second distributional derivative to cancel the delta term. Its amplitude remains arbitrary because no normalization has been imposed.
Away from zero the Dirac delta distribution is absent. On either half-line, use and the power-law ansatz . The Euler-Cauchy equation becomes
The growing term is excluded by boundedness at either end. Thus the independently bounded half-line solutions are
For real nonintegral , the Parseval identity and the coefficient formula give
Solving for the sum yields
At , the sine square is one and the cotangent is zero, giving .
Evaluate the absolutely convergent complex Fourier series at . The factors equal one, and the term is . Pairing positive and negative integers gives
Since for nonintegral complex , rearranging proves
The last term means , so half-integer arguments are included by the finite cotangent value zero.
Integrate the two exponentials in against . For there are no zero denominators, and
Thus the complex Fourier series is
This is the periodic extension, not a globally nonperiodic cosine formula. For each fixed complex , the coefficients are , giving absolute and uniform convergence. The extension is continuous at the endpoints because the two endpoint values agree; piecewise smooth pointwise convergence of a piecewise smooth Fourier series identifies the sum with it, including those endpoints.
The Parseval identity for a complex Fourier series is
It holds for every square-integrable function, with complex conjugation expressed by the absolute squares. It is the Pythagorean theorem extended to the complete orthonormal system of complex exponentials.
The complex Fourier series of a -periodic function is
The coefficient formula follows from orthogonality of the exponential functions. For an arbitrary square-integrable function, this representation means convergence in the norm. With appropriate additional regularity it also gives pointwise convergence, to the mean of the one-sided limits at a jump. No pointwise representation is asserted for an unrestricted function merely from periodicity.
In , take
The sets are nonempty, closed and strictly descending, but their intersection is empty. Their diameters are infinite, so the shrinking-diameter assumption is essential.
In , take
These are nonempty descending sets of diameter , with empty intersection. They are not closed sets, so there is no contradiction with the Cantor intersection theorem for the complete metric space .
Take the incomplete metric space with its usual distance, and
Each is nonempty and closed relative to : it is . The sequence is strictly descending and its diameters are . Its intersection is empty, since every positive point exceeds for sufficiently large . The excluded limiting point is zero.

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