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.
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
For the geometric distribution on ,
Summing the geometric series,
The special binomial theorem
follows by mathematical induction. Multiplication of the formula for by and collection of the coefficient of uses Pascal's identity from part (a).
Termwise integration from to gives
Replacing by gives
Finally,
Writing and using the finite geometric series,
turns this into
For each permitted part , its multiplicity contributes the geometric series . Thus the generating function is
The conjugate partition bijects diagrams with largest part at most and diagrams with at most rows, so the same series counts partitions into at most parts.
Now try only . Since , the total work through trial is the geometric series
For , the success probabilities scale as
Their sum is , so the product of their failure probabilities stays bounded away from zero: there is a constant probability of reaching the scale . At that trial, the defining property of gives
so almost all surviving runs stop there. Therefore
The geometric amplitude-amplification schedule is asymptotically better than the sequential schedule's calls and matches the usual Grover scaling up to a constant factor.
Split the transform into periods and translate each interval:
Summing the geometric series yields
Write
The stated iteration is , so repeated substitution and the geometric series identity give
For the singular component , put . Since the initial Tikhonov solution has coefficient , one obtains
Therefore the requested spectral filter is
Thus equation (3) reads . Convergence of this stationary iteration requires on the nonzero spectrum, for example .