Expand the finite Euler product into geometric series. By unique prime factorization, it is the sum of over positive integers whose prime factors do not exceed , and hence contains every term up to . The harmonic sum satisfies
The last inequality uses , including when is an integer. For each prime number ,
The telescoping series over all integers bounds the sum of these remainders by . Taking logarithms of the product bound therefore gives
This explicit constant suffices; no asymptotic theorem about the distribution of prime numbers is needed.
The radius of convergence of the power series is
If , choose with . Since , those terms are bounded, say . Therefore
and comparison with a geometric series proves absolute convergence. If , convergence would imply absolute convergence at every smaller modulus by the same argument, contradicting the definition of .
If , convergence of implies absolute convergence of whenever . Letting approach the radius of the -series shows that .
Choose and iterate . The contraction mapping estimate
makes Cauchy by a geometric series. Its limit satisfies because is Lipschitz. Two fixed points would satisfy , so they coincide. This proves the Banach fixed-point theorem.
Now suppose the final assertion failed. There would be with . Since and is continuous, the two sides tend respectively to and , so . Uniqueness would give , a contradiction. Hence the required and exist.
For an increasing sequence of nonnegative integers, full-density sequence means that its range has natural density one:
For a sequence in a metric space, convergence in density of a sequence to means that, for every ,
In particular, a bounded nonnegative scalar sequence converging to zero in density has averages tending to zero: the average is at most plus its bound times the proportion of indices above .
Here is a Hilbert space form of the Van der Corput lemma, including the density version. Suppose , and put
Then
Since , it suffices for to converge to zero in density. A frequently used special case is that the correlation average tends to zero for every fixed .
To prove the lemma, extend the finite list by zero outside this range, and write . For ,
The Cauchy-Schwarz inequality for this sum, followed by expansion of the squared Hilbert space norm, gives
The coefficient counts the pairs of shifts separated by . Dividing by , bounding real parts by absolute values, and first taking the limit superior in for fixed yields
The right side tends to zero as under the stated hypothesis. This proves both the lemma and its density consequence.
For the polynomial application, fix a nonzero integer and let . For each fixed , the correlation phase is linear:
Thus, with ,
The coefficient is irrational, so . This geometric series is bounded in modulus by and tends to zero. All vanish, so the Van der Corput lemma gives
The Weyl criterion now shows that the fractional parts form an equidistributed sequence. For completeness, its sufficiency here follows directly: the displayed limits give the correct average for every trigonometric polynomial, including the constant term. The Stone-Weierstrass theorem extends this to every continuous function by uniform approximation. Approximating an interval's indicator function above and below by continuous functions gives its length as the limiting frequency. Hence
This proves the equidistribution of a quadratic polynomial with irrational leading coefficient using the required correlation argument.
For the K-theory transfer of a finite covering, let be a vector bundle and define
On an evenly covered neighborhood the sheets identify this with a direct sum of local vector bundles. On overlaps the identifications permute the sheets and apply the transition maps of , so these local descriptions glue to a vector bundle on . This operation respects direct sums, hence extends to a homomorphism of Grothendieck groups
It obeys the projection formula for the K-theory transfer:
For actual vector bundles, this follows fiberwise by distributing the tensor product of vector bundles over the direct sum; it then extends to their Grothendieck groups.
Let be the permutation vector bundle of the covering. It has rank on every connected component, but need not be a trivial vector bundle; in particular one cannot replace by multiplication by integrally. Instead write
The componentwise nilpotence result from the preceding solution gives for some . In the localization of a ring , the finite geometric series
is an inverse. The projection formula for the K-theory transfer gives
Thus implies after inverting . More explicitly, is a left inverse, proving
Write and retain the Landweber relaxation parameter . The printed allows the fixed choice , since then . It does not justify a unit step: the scalar linear operator has norm below , but unit-step error is multiplied by and diverges. We use throughout.
From the recurrence and , induction yields the closed form
For the compact operator in part ii, take a singular system of a compact operator with , and . Thus are the eigenvalues of ; this fixes the notation implicit in the printed hint. In the singular component , the recurrence is
Summing the geometric series gives the Landweber spectral filter
There is no contribution from data in or from in the reconstruction. Starting at zero is what selects the minimum-norm least-squares solution.
For fixed , , so the numerator tends to . The assumption is the Picard criterion
with an arbitrary additional component in . The squared reconstruction error is
Each term tends to zero and is bounded by a summable term from the Picard criterion. The dominated convergence theorem therefore proves , where is the Moore–Penrose inverse of an operator.
For each finite , the regularization of an inverse problem is stable. Set . The geometric series and imply
Consequently the Landweber noise amplification bound in this general step-size convention is . If additionally , the sharper numerator bound gives .
To see the regularization parameter directly, put . Modes with have numerator approximately , so their inverse coefficient is approximately rather than . Each fixed nonzero mode is eventually restored as . Thus
The finite iterates suppress unstable small singular values; infinitely many iterations remove this suppression. For noisy data , the noise-bias decomposition for linear regularization gives
Choosing and proves noisy-data convergence. The reciprocal iteration index is a regularization parameter, and early stopping controls noise amplification.
For each one-particle state , a boson occupation number can be any . Its contribution to the grand canonical partition function is the geometric series
The noninteracting modes factorize, so
Convergence requires . Since the lowest energy is zero, the limiting maximum chemical potential is
Let
The set contains zero. If and , then by comparison. Moreover, if the original power series diverges at , no can lie in , because absolute convergence at would imply absolute convergence at . Thus is finite and nonnegative.
If , choose with ; comparison gives absolute convergence at . If and the series converged at , then its terms would be bounded. For any with ,
so the geometric series comparison would put in , contradicting the definition of . This proves the radius of convergence property.
For , the ratio is , so the geometric series criterion gives
A Laurent series about is an expansion
that converges to on an annulus .
The partial fraction decomposition is
For , expand both denominators by the geometric series:
This is actually a Taylor series at zero, since the apparent puncture at zero contains no singularity.
For , the term still expands in nonnegative powers, while the quadratic term must be expanded in negative powers:
Hence
On each left singular vector , use and . The finite geometric series gives
Thus with , the dimensionless Landweber spectral filter is
The full inverse-coefficient convention instead uses . With general step , replace inside the power by .
In the normalized problem, , so the inverse coefficient is at most . This verifies directly why finite iteration is stable and why admitting progressively smaller singular values eventually amplifies noise.
Figure 1.
Landweber filters and progressive noise amplification
. More iterations admit smaller singular-value components. The damping factor tends toward one, while the coefficient applied to measured data approaches the unstable reciprocal singular value. Details.
Write for the open unit ball. Because is a linear map, the hypothesis scales to
Fix . Choose numbers and such that
then .
Set . Inductively, if , the scaled density statement lets us choose
and we put . The geometric series gives
Because is a Banach space, exists and lies in . Since is a bounded linear operator, it is continuous, while
Therefore . As was arbitrary,
This is the dense open-unit-ball image criterion.
Let
and choose . Write for the positively oriented boundary of the square with . The Cauchy integral formula gives, for every ,
Because and are compact and separated by a positive distance, Riemann sums for this contour integral converge uniformly in . Thus, for any , there are points and constants such that
It remains to approximate each resolvent by polynomials on . Let be the set of for which is polynomially uniformly approximable on . If , the geometric series
shows that . Moreover, the resolvent propagation across a complementary component argument shows that is both open and closed relative to . The complement of a square is connected, and is nonempty, so .
In particular, every lies in . Approximate the finitely many resolvents accurately enough that their weighted sum differs by less than . Combining this with the Riemann-sum estimate produces a polynomial satisfying
This proves the claimed elementary polynomial approximation on a square.
For , expand the finite Euler product as a product of geometric series:
Every integer has all its prime factors at most , so
The harmonic series diverges, and therefore
Suppose instead that converged. For ,
Since converges, this would make
converge to a finite limit, contradicting the divergence of . Hence the Euler proof that the sum of reciprocals of primes diverges gives
The partial fraction decomposition is
For , expand the second term as a geometric series:
Hence
The polynomial Runge theorem says that if is compact, is connected, and is holomorphic on a neighbourhood of , then for every there is a polynomial such that .
For an explicit approximation on the left semicircle , define
The two power-series expansions
produce this formula. The first is a geometric series whose ratio has modulus at most on . The second converges uniformly on the whole unit circle; the elementary bound shows that truncating it at gives a total error tending to zero even after summing over . Consequently uniformly on . This is an explicit polynomial approximation of the reciprocal on the left semicircle.
No such sequence exists on the punctured unit circle . If polynomials converged uniformly there, they would be Uniformly Cauchy. Continuity gives
so they would converge uniformly on the entire unit circle. The uniform limit theorem would force the value at the missing point to be , and hence the limit would be on the full circle. But the Cauchy integral theorem gives for every , while uniform convergence and contour integration would imply
a contradiction. This is the polynomial approximation obstruction on a punctured circle.
Put and propose . The initial condition follows from . Since ,
On the other hand,
and expanding the bracket gives the same expression. The formula also sums to one by the geometric series, so it is the required probability mass function.
If , the operator is invertible on . Indeed, there it equals
whose inverse is the finite geometric series
Now use induction on . If , apply . The term vanishes, while every transformed vector
is nonzero by the invertibility just proved and still lies in . The induction hypothesis rules out the resulting relation. Allowing scalar coefficients, and omitting zero terms, gives the same argument. Hence the generalized eigenspaces for distinct eigenvalues form a direct sum, so are linearly independent.
Fix and let
For and , the geometric series gives
The series converges uniformly on every smaller closed disc, so it may be integrated term by term along the curve. Hence
which is a power series about .
If is holomorphic on a neighbourhood of the closed disc , the Cauchy integral formula says
Differentiation under the integral is valid uniformly on smaller discs and gives the Cauchy derivative formula
This proves inductively that every holomorphic function has complex derivatives of every order. In particular,
Now suppose locally uniformly on . Given a compact set , choose finitely many closed discs whose slightly larger concentric discs remain in and whose interiors cover . Applying the derivative formula to on the larger boundary circles gives a uniform Cauchy estimate
where is the compact union of those circles. The right-hand side tends to zero, proving that
Finally, choose open neighbourhoods of the closed discs so small that
lies in the given neighbourhood on which is holomorphic. Inside that neighbourhood choose a positively oriented piecewise smooth contour surrounding . It may be chosen as the boundary of a slightly enlarged lens and split into arcs
so that stays away from and stays away from . Define
and
Because each arc avoids the corresponding disc, these formulas define holomorphic functions on possibly smaller neighbourhoods . On their overlap, the Cauchy integral formula for the full contour gives
Repeated substitution in Landweber iteration from gives
On the th singular vector, has eigenvalue and . The finite geometric series therefore gives
This is a spectral regularization method with filter
For bosons the occupation number is . Summing the geometric series for the single-mode grand canonical ensemble gives the Bose-Einstein distribution