Use the standard bounded uniform ellipticity assumption: for some , with bounded periodic coefficients. It holds for the usual finite set of positive-conductivity phases. Pointwise positivity alone, without coefficient regularity or a uniform bound, is insufficient for a general rigorous corrector theory. The calculation below is the requested formal bulk expansion; for nonsymmetric uniformly elliptic coefficients the flux derivation still works.
Set . In a two-scale expansion for periodic conductivity, differentiation becomes
The leading, order , equation is
For fixed , multiply by minus its cell mean and integrate over the periodic cell. Opposite-face terms cancel, giving
Hence is independent of .
The order equation is now
For each coordinate direction, choose a periodic zero-mean corrector satisfying the periodic conductivity cell problem
The right side has zero cell mean. In weak form,
for every periodic test function . On the space of zero-mean periodic functions, the Poincaré inequality and uniform ellipticity give coercivity, so the corrector exists and is unique by the Lax-Milgram theorem. Discontinuous phase coefficients are handled by this weak formulation.
The order solution is
where the last term is independent of and does not affect leading flux. Thus the leading microscopic flux is
At order one the equation reads
Average over . The second term integrates to zero by periodicity, and . Therefore
The effective tensor is constant, so the last equation is exactly . The macroscopic boundary condition is on . Higher bulk correctors usually do not individually vanish on the physical boundary; a boundary corrector in periodic homogenization handles this without changing the leading homogenized equation.
For symmetric , a useful check on the effective conductivity is
The extra term involving vanishes by the weak cell equation. This formula proves symmetry. With , it also gives , confirming that the effective tensor is positive-definite.
For a period lattice , define the Weierstrass elliptic function by
The subtraction is essential: the separate inverse-square lattice sum need not converge. Let be the distance to the nearest nonzero lattice point. For , the power series identity gives
The stipulated convergence allows the sums to be interchanged on smaller disks. Pairing with cancels odd powers. In terms of the lattice Eisenstein series, this proves the Laurent coefficients of the Weierstrass elliptic function:
For completeness, the function is even and is a periodic function: differentiating gives , which is invariant under translation by a lattice generator. Thus is constant. For a primitive generator, evaluating at and using evenness makes this constant zero. Two generators establish lattice periodicity. Hence any polynomial in is an elliptic function.
Set and . The first terms are . Squaring its derivative and cubing the function give
Consequently has no pole at zero and has value zero there. Lattice periodicity removes the poles at every lattice point; there are no others. Thus is an entire function and an elliptic function, bounded on a closed fundamental parallelogram and therefore throughout the plane. The Liouville theorem makes it constant, and its value at zero makes it zero. This proves the Weierstrass elliptic differential equation
Differentiating and cancelling wherever it is nonzero gives ; the identity extends across its isolated zeros by holomorphy. Write . For , compare coefficients of :
The denominator is positive and rational, and . Induction therefore gives a polynomial with positive rational coefficients on every monomial that occurs. Since , the same holds for every . This is the positive polynomial recurrence for lattice Eisenstein sums; for example
Positive coefficients do not assert that the complex values of the lattice sums themselves are positive.
Use and the Fourier transform convention , initially for an integrable function. For the interval indicator function, direct integration gives
The integral bound is one, and the displayed numerator has modulus at most two. By the convolution theorem, the Fourier transform of the -fold convolution is its th power. Thus the Fourier decay of repeated interval convolutions gives
At zero, interpret the second term of the minimum as infinity.
The Schwartz space consists of smooth functions for which every Schwartz seminorm is finite, for nonnegative integers . Differentiation under the integral sign and integration by parts give
All differentiated integrands are integrable, and their boundary terms vanish because of rapid decay. The last transform is bounded by its integrand's norm. The same argument applies at every derivative order, so .
For , the Poisson summation formula is
To prove it, form the periodization of a Schwartz function . Rapid decay gives uniform convergence of this series and of every differentiated series on , so is a smooth periodic function. Its Fourier coefficients are
The series converges absolutely and uniformly. Its Fourier coefficients equal those of . The uniqueness theorem for Fourier series says that two integrable functions with the same coefficients agree almost everywhere; as both functions here are continuous, they agree everywhere. Evaluating at zero proves Poisson summation.
The Gaussian Fourier transform of , , is . Apply Poisson summation to obtain the transformation of the Jacobi theta function
For , termwise integration in the Mellin transform gives the Mellin representation of the completed Riemann zeta function
Split at one and substitute in the lower integral. The theta transformation gives
The integral is an entire function of , since decays exponentially. This pole-subtracted theta integral for the completed zeta function supplies a meromorphic continuation with simple poles at zero and one. Both the rational term and the integral are unchanged by , proving the functional equation of the Riemann zeta function
Equivalently the Riemann xi function is entire and satisfies . The reflection and duplication identities for the Gamma function also give by meromorphic continuation.
Write . First we prove decay of coefficients of an almost-everywhere convergent trigonometric series rather than assuming the series can be integrated term by term. For , tends to zero outside the finite set . Suppose does not tend to zero, and choose a subsequence with . Then and almost everywhere. The dominated convergence theorem gives
orthogonality of the two distinct Fourier modes instead makes the integral , a contradiction. Thus .
Define on the real line the twice-integrated continuous function
The series has both absolute convergence and uniform convergence because its coefficients are bounded. Its symmetric second quotient is therefore, for nonzero ,
We next prove that this tends to zero whenever , lifted periodically to the line. Let and for , so the partial sums of the are exactly . Put and . Summation by parts gives
The boundary term vanishes because is bounded and for fixed nonzero . Moreover
Indeed near zero and for . Each fixed weight difference tends to zero as . Splitting the last series at an index beyond which therefore bounds its upper limit by . Letting proves the claimed zero second quotient. This explicitly proves the needed Riemann summation of a convergent trigonometric series, despite the oscillations in its weights.
We also need the elementary fact that a continuous function with zero symmetric second derivative at every interior point of an interval is affine. For a real-valued function, subtract its endpoint chord on any compact subinterval . If the difference were positive somewhere, adding for sufficiently small would retain a positive maximum at an interior point. At that maximum each symmetric second difference is nonpositive, while its quotient tends to , a contradiction. Thus the function lies below its chord. Apply the argument to its negative to get the reverse inequality. Applying this to real and imaginary parts proves the complex-valued case as well. This establishes that vanishing symmetric second derivative forces an affine function. Hence is an affine function on each open interval between the finitely many exceptional points in any period.
It remains to exclude corners at those points. Multiplying the formula for the second quotient by , and using and the evenness of , gives
for every , by the infinite-series version of part (i), since . continuity extends the adjacent affine pieces to each exceptional point, and the fact that symmetric second differences detect an affine corner makes their slopes and intercepts agree. Thus is globally an affine function on the real line.
The periodic part of its definition gives . An affine function has constant increments, so . The resulting is both an affine function and a periodic function, hence constant. Finally, absolute uniform convergence justifies integrating its defining series against , and for the resulting Fourier coefficient is . A constant has all these coefficients zero. Therefore , proving uniqueness of a trigonometric series outside a finite set with all exceptional points accounted for.
Use and the uniform metric . Let be the least number of radius- balls in this metric covering . The Kolmogorov entropy, equivalently metric entropy, is
It is infinite if no finite cover exists; set the entropy of the empty set to zero. Changing the logarithm base or requiring centres in changes only the constants and resolution factors in the estimates below.
For an explicit appropriate norm, take
An equivalent standard norm gives the same exponents, with different constants. We prove the two bounds for the entropy of a smooth periodic function ball separately.
For the lower bound, choose a nonnegative bump function with and . Let bound all its derivatives of orders at most , and choose with . For sufficiently small , place translates of its scaled support disjointly on the torus, for instance by taking grid centres separated by in a fundamental cube. Define the real functions
using periodic extension. Disjointness means that at any point only one summand contributes. For every , its derivative is bounded by . Thus every lies in . If , evaluate at a centre where the binary coefficients differ to obtain
Choose for sufficiently small . The functions are more than apart, so no radius- ball covers two of them. The metric covering number consequently satisfies
To include the remaining , observe that the two constant functions belong to the ball and require distinct covering balls. Reducing the positive lower-bound constant extends the estimate over that fixed remaining interval.
For the upper bound, use this precise version of multivariable Jackson approximation: for every and integer , there exists a real trigonometric polynomial with in every coordinate and
Choose . Then the approximation error is at most , and . Write . There are coefficients, and normalized integration gives .
Round their real and imaginary parts with mesh , respecting so the rounded polynomial remains real. Each coefficient changes by at most , and hence the uniform change in the polynomial is at most . At most choices are needed; allowing redundant choices only enlarges this bound. These rounded polynomials form an -net for the ball, and
Here , and the last logarithm absorbs the constant and for . Together the bounds give
For the unit ball of alone, take infinitely many disjoint small neighbourhoods and a height-one continuous bump supported in each. Distinct such functions have uniform distance one. Thus no finite -net exists when , and
The derivative bound was essential for total boundedness; mere continuity gives no common small-scale oscillation bound.
For the final composition estimate, interpret outer periodic functions on by their -periodic extensions to . Since , each satisfies
by integrating its first partial derivatives along coordinate segments. This uniform Lipschitz continuity controls errors in the inner functions.
Choose an outer net of radius for and an inner net of radius for . For each choose corresponding approximants . No derivative bound for is needed: use the derivative bound of before replacing the outer function. Pointwise,
All composed centres are continuous. Multiplying the numbers of outer and inner choices gives the entropy of Lipschitz compositions inequality
Apply the proved upper bound with dimension , and the assumed estimate for . Fixed rescalings of preserve its exponent and change by only an additive constant. Therefore
A precise useful form of the principle is the type I–type II inverse principle for Möbius correlation. Normalize , and suppose
For any positive integer cutoffs with , define
Then , where is the divisor function, and at least one of the following two sums has modulus at least :
The first is correlation against a controlled linear combination of indicators of multiples of small moduli, each a periodic function: this is the “somewhat periodic” branch. The second is a bilinear sum with independently weighted factors, both larger than the cutoffs: this is the “somewhat multiplicative” branch. The statement concerns these precise correlations, not an assertion that must itself be periodic or multiplicative.
For clarity, the Vaughan identity for the Möbius function proves this version immediately. Split and likewise at . Since ,
Multiply by and sum. The first two terms contribute at most in modulus, and the remaining terms are . The triangle inequality gives the stated dichotomy. It is valid at finite and for any chosen cutoffs in the indicated range.
We now prove the required orthogonality without appealing to a stronger uniform exponential-sum theorem. Write and . The Diophantine bound for the square root of two is
where is distance to the nearest integer. If is that nearest integer, then , while ; dividing proves the bound.
Use the preceding Dirichlet convolution identity with . The two short terms are . For the type I sum, the exponential geometric sum bound gives
Consequently
using from counting factor pairs.
For the type II sum, perform a dyadic decomposition into , , keeping . Nonempty blocks have , while . A block satisfies, by the Cauchy-Schwarz inequality and the divisor-square summatory bound,
To justify the cutoff, after expanding the square the permissible for a pair still form an interval, with upper endpoint . Its exponential sum has the same geometric bound. Diagonal pairs supply ; for each nonzero difference there are pairs.
The points modulo one are separated by at least . Counting points in consecutive distance bands around zero therefore gives
Substitution yields the bilinear cancellation for badly approximable phases estimate
There are blocks, so . The divisor-square bound itself can be obtained elementarily from prime-power by prime-power and ; no uncontrolled coefficient bound is being suppressed.
Combining the short, type I and type II terms,
Hence
For the cardinality of integer-periodic function spaces, fix a positive period first. A periodic function with that period is completely and uniquely determined by its values at , so this class is in bijection with . The integers are a countable set, and repeated pairing shows that a finite Cartesian product of countable sets is countable. Taking the union over positive and using the countable union of countable sets proves that the integer-domain periodic functions form a countable set.
For the rational domain, even period one leaves infinitely many independent choices. Let for ; these are distinct members of . For every subset , define
The fractional part is unchanged by adding one, so is an integer-valued periodic function on . Distinct subsets give distinct functions because records whether . Thus the uncountable power set of injects into these functions. The rational-domain periodic functions form an uncountable set. The difference is that has only finitely many residue classes modulo a fixed integer period, whereas has infinitely many.
Use the Fourier transform normalization . A precise version of the Poisson summation formula is that, for every Schwartz function ,
Both series have absolute convergence. Here being a Schwartz function means being smooth with for all nonnegative integers . This hypothesis makes the sums and the termwise operations below legitimate; the formula is not being asserted for arbitrary integrable functions.
Form the periodization of a Schwartz function . Every differentiated series has uniform convergence on , by rapid decay, so is a smooth periodic function of period one. Its th Fourier coefficient is
The interchange follows from absolute convergence uniformly on this interval. Integration by parts shows that these Fourier coefficients decrease faster than every inverse power of . Thus the Fourier series converges absolutely and uniformly to ; for example the standard convergence theorem for twice continuously differentiable periodic functions applies. Evaluating at zero proves the Poisson summation formula.
For , scaling the given Gaussian Fourier transform gives
Applying the Poisson summation formula gives the real-parameter Jacobi theta function transformation
For , termwise application of the Mellin transform is justified by integrating absolute values and gives
Each positive contributes , and the factor one half removes the equal positive and negative terms. This is the Mellin representation of the completed Riemann zeta function.
Split the integral at one. On , the Jacobi theta function transformation writes . Integrating the first two terms and substituting in the third yields the pole-subtracted theta integral for the completed zeta function:
The remaining integral is an entire function of : , and on each compact set of this exponential dominates all powers of and all factors arising from differentiation. It therefore supplies a meromorphic continuation of to the whole plane, with simple poles at one and zero, of residues and , respectively. Its expression is unchanged by .
The reciprocal Gamma function is entire, with simple zeros at its nonpositive integer arguments. Consequently
is holomorphic everywhere except for a simple pole at , of residue one. The apparent pole at cancels; in fact gives . This proves the analytic continuation of the Riemann zeta function. The completed functional equation of the Riemann zeta function is
These are equalities of meromorphic functions; at apparent singularities they are interpreted by continuation. Equivalently, is an entire function with .
Differentiation gives
The initial conditions set the constant to one, so
the Pythagorean trigonometric identity.
Since , Taylor theorem with Lagrange remainder gives
for some , while
for some . The intermediate value theorem supplies with . The sine addition formula gives . The analogous cosine addition formula gives , so
Thus is a periodic function.
The vertical tangent space of the trivial principal -bundle is spanned by . Since
projects isomorphically onto the tangent space of , it is always complementary to the vertical direction. It is the horizontal distribution of a principal connection precisely when it is invariant under the principal translations . The horizontal lifts of and are unique, so this invariance is equivalent to
The functions must also be smooth and periodic in , as is already required for them to be functions on the cylinder.
Under these conditions the connection form is
It sends to , is translation-invariant, and has kernel , proving sufficiency as well. Since the structure group is abelian, the bracket term vanishes and
Apply separation of variables to the Laplace equation in polar coordinates by writing . Division by gives
The requirement that be a real -periodic function restricts the separation constants to , with angular factors and . For , the radial ordinary differential equation is an Euler equation with solutions and . For the zero mode, is constant and
so . By linearity, superposition gives
This is the separated expansion of a harmonic function in a circular region.
The chain rule and
give
Applying the same rule to and in the Euler-Lagrange field equation yields the exact modulated equation
Multiply this equation by . Since and are independent of the fast phase,
The product rule then rearranges the field equation into the exact modulated-wave first integral
Average this identity over one period in . Periodicity kills the first term, while differentiation of the averaged Lagrangian gives
Consequently
The same two equations follow directly from the modulated variational principle. Varying gives
which is the exact field equation above. For a variation of , use and . Integration by parts in and gives the averaged equation. Thus variation with respect to the periodic profile reproduces the local wave equation, whereas variation with respect to its slow phase gives the Whitham modulation equation for wave action.
Write , where is an integer and . The change of variables and the fact that is a periodic function give
Split at , then substitute in the second piece:
Therefore
This proves translation invariance of an integral over one period without assuming that is differentiable.
The real Fourier series of is written
where the Fourier coefficients are
By part (a)(i), any other interval of length gives the same Fourier coefficients, because each integrand is a periodic function with period . The notation associates with its Fourier series; existence of the integrals alone does not assert pointwise convergence.
By Dirichlet's theorem on Fourier series, a piecewise continuously differentiable periodic function has a Fourier series converging at each point to the average of its one-sided limits. In particular it converges to the function at every point of continuity. Our periodic extension satisfies these hypotheses, and is a point of continuity with .
At this point for even . For ,
Substituting in the Fourier series from part (c) proves
The sum is taken in its displayed order. Discarding its zero even-indexed terms is valid and does not rearrange the remaining terms.
In one period, sine equals at and , and lies below that value between them. Since sine is a periodic function with period , all solutions are:
The endpoints are included because the inequality is non-strict.
Evenness makes every sine coefficient zero. For the constant coefficient,
An integration by parts gives, for ,
The even coefficients vanish and the odd coefficients are . Therefore
The periodic function is continuous and piecewise smooth, so the Dirichlet-Jordan convergence theorem identifies the Fourier series with at every point, including the endpoints. The absolute summability of the coefficients also gives uniform convergence.
Use separation of variables with . A nonzero product gives
The angular factor must be a periodic function of period . If , its exponential solutions cannot be periodic unless they vanish. If , forces , while . If , periodicity requires , giving angular factors and radial factors .
Superposing these separated harmonic functions yields
To see completeness, expand an arbitrary smooth harmonic function in a Fourier series in on each ellipse. Substitution into the equation forces every Fourier coefficient to obey the corresponding radial equation above. The series is interpreted with the convergence needed for a harmonic function, for example locally on compact subannuli. No boundedness condition at infinity or extension across has been imposed, so there is no reason to discard either radial branch in these elliptic coordinates.
Set . By periodicity and countable additivity of the Lebesgue integral of a nonnegative function,
Thus is Lebesgue integrable for every .
Apply Newton's method to . The derivative in part (a) gives
Choose a starting point near a desired root, such as for the root in ; do not divide when . On , is strictly decreasing and changes sign between its endpoints, so the intermediate value theorem gives exactly one root there. Its derivative is nonzero, giving the usual local convergence of Newton's method. The periodic function has other roots; the iteration does not impose global uniqueness or convergence from every starting value.