Let both solve the variational inequality. Test the inequality for with and the one for with , then add. Writing gives
since cosine is Lipschitz with constant one. Since , the fundamental theorem of calculus and Cauchy-Schwarz inequality give ; integrating gives . Therefore
For , the coefficient is positive, so and the zero boundary value gives . This proves uniqueness with an explicit sufficient smallness condition. More generally any Poincaré inequality constant gives the condition ; optimizing that constant is unnecessary for the requested conclusion. The underlying principle is uniqueness for a strongly monotone variational inequality.
Let . For , define by
The Lax-Milgram theorem guarantees a unique : the bilinear form on the left is bounded and coercive in the norm , and the right side is a bounded linear functional by the Poincaré inequality. Testing with gives
Define by . This actually maps into . Indeed the weak maximum principle says that a weak solution of is nonnegative almost everywhere. Here and belongs to . Directly, taking the negative part as a test function gives , so by the Poincaré inequality.
The required fixed point formulation is
Every such fixed point belongs automatically to and satisfies part (b)(i). Conversely, uniqueness in the Lax-Milgram theorem makes every nonnegative weak solution a fixed point of .
Use the real zero-trace Sobolev space with norm . The Poincaré inequality on the bounded smooth domain gives , making this an equivalent Sobolev norm. The weak formulation is to find with almost everywhere and
The zero Dirichlet boundary condition is encoded in the Sobolev trace. Formally, the identity follows by multiplying the partial differential equation by a test function and using integration by parts; it then extends to all by density.
To check all terms, boundedness of gives finite Lebesgue measure . The Cauchy-Schwarz inequality gives and
Thus the right side is a bounded linear functional of , since its absolute value is at most . The left side is finite by the Cauchy-Schwarz inequality. These estimates work for every stated .
For , the forcing terms cancel, giving
The scalar function is strictly increasing on all of , so the second integrand is nonnegative. For the first one, use the quartic gradient monotonicity inequality. Put and for real vectors . Expanding gives
Consequently
The last strict inequality uses the Poincaré inequality: if the weak gradient of vanishes, then . This proves that is a strictly monotone operator.
Choose the real zero-trace Sobolev space
The Poincaré inequality makes this an equivalent Sobolev norm. Since the dimension is five, the Sobolev conjugate exponent is . The Sobolev embedding theorem gives continuously. Boundedness of and Lp inclusion on a finite measure space then give continuously, say .
For , the weak formulation is
The zero Dirichlet boundary condition is imposed through the Sobolev trace. Hölder's inequality verifies every term:
Thus , while , and all three pairings are finite bounded linear functionals in . The choice is sufficient; it is not intended to be the largest possible space of data.
Take the functional
The factor is essential: the derivative of is , while the gradient with respect to of is . As in part (c), finite polynomial expansions and Hölder's inequality justify differentiation along every direction , giving .
We prove the global and strict minimum directly. The strictly convex functions and satisfy their tangent inequalities
with strict inequality when the respective arguments differ. For example, strict convexity of follows from strict operator monotonicity of its gradient, proved by the midpoint identity in part (b)(iii); strict convexity of follows because its derivative is strictly increasing.
Apply these inequalities pointwise to and , then integrate. The weak formulation at with test function gives
If in , the Poincaré inequality implies on a set of positive Lebesgue measure. The first tangent inequality is strict on that set and the second is nonnegative everywhere. Their integrable remainders therefore have strictly positive total integral. Hence
Thus is the unique global minimizer of . Conversely, every minimizer has zero directional derivative in every direction and so satisfies , which also identifies it with the unique weak solution from part (c).
By the definition in (i), itself is an admissible test in the weak formulation. Hence
The absolute value makes a proof of positivity unnecessary. Holder inequality with exponents and , followed by the zero-boundary Sobolev inequality, gives
Taking square roots of both estimates proves exactly the requested chain:
If , the zero-boundary Poincaré inequality gives and the conclusion follows. Otherwise divide the first-to-last estimate by and square, obtaining . Finally the same Poincaré inequality gives
All constants depend only on the fixed unit ball and the dimension, and are independent of and . If , testing the homogeneous equation with gives the same zero solution directly.
As printed, the answer is
The constant function has zero gradient and positive Lp norm for every such , including its supremum norm when .
The missing assumption is a zero Sobolev trace, which is present for the weak solutions in the surrounding parts. With in place of , the intended answer is
This is the three-dimensional Sobolev inequality at , followed by Holder inequality on the bounded ball for smaller ; it includes the zero-boundary Poincaré inequality at . The subsequent parts use this zero-boundary version.
Take the weakly convergent subsequence in (i), with limit . For each , the weak formulation gives
The left side tends to by weak convergence in . The zero-boundary Sobolev inequality gives , so (ii) makes the right side tend to zero. Taking in the limiting identity yields . The zero-boundary Poincaré inequality then gives .
The same argument applies to a weakly convergent subsequence of any subsequence of , because all remain bounded as in (i). To see why this proves convergence of the full sequence, suppose a continuous linear functional on did not satisfy . Some subsequence would have . Its boundedness gives a further weakly convergent subsequence, whose limit has just been proved to be zero; then tends to zero along it, a contradiction. Therefore
Uniqueness of a possible limit alone is not enough without the weak sequential compactness in a Hilbert space used to extract a further subsequence.
Let be the kinetic energy, the magnetic energy and :
Dot the magnetohydrodynamic momentum equation with and integrate. Incompressibility and the zero boundary velocity remove the advective and pressure work. The viscous term integrates to . Thus
The ideal magnetohydrodynamic induction equation gives, with no boundary contribution,
The Lorentz force density therefore transfers energy between the field and the fluid without creating total energy. Since and on the boundary, another integration by parts gives , where is vorticity. The viscous magnetic-relaxation energy identity is
The conserved nonzero magnetic helicity prevents all the field energy from disappearing. Fix a bounded inverse-curl convention for the magnetic vector potential, so that . The Cauchy-Schwarz inequality gives the magnetic-energy lower bound from helicity,
Consequently decreases to a finite positive limit and
Under the intended regular long-time interpretation of smooth vorticity, the dissipation cannot keep producing peaks of fixed height and arbitrarily short duration. More precisely, if is uniformly continuous, uniformly continuous integrable dissipation tends to zero proves . The Poincaré inequality and the identity above then imply .
To identify the asymptotic state, suppose the regular relaxation has a limit, or work on a compact invariant limiting set on which the energy is continuous. On such a set the energy is constant, so the displayed identity forces , and the zero boundary velocity forces . The induction equation is then stationary, and the momentum equation becomes
This is magnetostatic equilibrium, with nonzero field allowed and required here by conserved magnetic helicity. It is not necessarily a force-free magnetic field: a pressure gradient can balance the magnetic force. If the field develops a current sheet, equilibrium is understood with the corresponding interface force balance.
There is a mathematical qualification to the smoothness premise. Smoothness at each finite time alone does not prove uniform long-time bounds, uniform continuity of dissipation or convergence to one limiting field. The energy calculation proves finite total dissipation unconditionally for a smooth solution; the settling conclusion is the regular-relaxation argument just given. A rigorous global convergence theorem requires that additional long-time control. In particular, smooth vorticity does not require smooth electric current density in the limiting state.
In a planar cross-section write the magnetic field as
The Cartesian magnetic flux function labels the magnetic field lines. Ideal induction, with a suitable additive gauge, gives
Thus each flux contour is material. Incompressibility also preserves the area inside any material contour. Neither a magnetic island's flux distribution nor the connections of a separatrix can be freely altered during relaxation.
A configuration with two or more magnetic islands separated by an X-type saddle illustrates the mechanism. As the magnetic islands reshape to lower magnetic energy, the arms of the separatrix can be pressed together. Magnetic reconnection would change the topology, so it is excluded in a perfect conductor. The X-type structure can instead flatten into an extended interface, with oppositely directed tangential fields on its two sides. The transition shrinks and the electric current density concentrates into a current sheet. Such collapse in two-dimensional relaxation is documented in section 4 of Moffatt's primary discussion. It is a possible asymptotic outcome, not a finite-time singularity assertion or a property of every planar field.
The local equations show precisely how the interface can support equilibrium. For the planar field,
On a regular connected flux region, magnetostatic equilibrium therefore implies and
Different disconnected flux regions can have different functions . Their limiting fields need not join with continuous first derivatives of across a common separatrix; continuity of total pressure allows the tangential-field jump.
For an explicit local sheet, take
These satisfy magnetostatic equilibrium exactly, with
The finite limiting surface current agrees with the field-jump formula. This is a local equilibrium demonstration of the sheet balance, not a claim that this particular family is the full ideal relaxation trajectory from the given initial data.
Strictly planar fields of the form above have zero magnetic helicity: choose , giving . Thus this strictly planar example interprets the last part as a separate illustration of topology-constrained relaxation. It still has an energy obstruction: if on the cross-sectional boundary, the advected integral is constant and the Poincaré inequality gives per unit length. If the earlier nonzero-helicity condition is retained instead, a possible extension is a field depending on only two coordinates but permitting an axial component, with periodic boundary conditions in the invariant direction. Write
The axial force balance makes the axial component a function of on each regular connected region; the remaining Cartesian magnetostatic flux-function equilibrium is
In that periodic extension, with consistent flux and gauge conventions, and on the cross-sectional boundary, integration by parts gives helicity per unit length . It can be nonzero. The same separatrix-collapse mechanism still concentrates current in a sheet. Three-dimensional linkage is therefore unnecessary for sheet formation; planar frozen flux-contour topology already supplies the constraint.
Let denote the right-hand side of the temperature partial differential equation. For a periodic variation , integration by parts gives
Along the evolution, , so this is a gradient flow with increasing functional:
For , completing the square gives
Thus the increasing-gradient functional for poorly conducting convection converges to a finite limit along any globally smooth solution, and
In particular, there are arbitrarily late times at which is arbitrarily small. A nonstationary time-periodic solution is impossible: it would have a strictly positive increase of over a temporal period. More generally, if the orbit is precompact in a topology strong enough for the equation, its limiting states are stationary. With the conserved mean fixed, the displayed square completion bounds , and periodic elliptic estimates give an bound; the usual smoothing and compactness for a globally regular parabolic solution support this limiting-state conclusion. The inequalities alone do not prove convergence to one uniquely specified equilibrium, and stationary families related by translation symmetry can remain.
Now take a smooth, nonconstant periodic roll . Multiplying its stationary partial differential equation by and using periodic integration by parts yields
The primes here are essential: the first and fourth terms involve , not . Write , , , , and . The orthogonal-roll perturbation has
The cross term in the squared Laplacian averages to zero since . Independence of the cell integrals then gives the exact polynomial difference
Its leading coefficient is half the variance of over the period. That variance is strictly positive: a nonconstant smooth periodic function has a derivative which vanishes somewhere and is nonzero somewhere, so is not constant. Hence arbitrarily small transverse perturbations increase above the roll value.
One can turn this energy comparison into linear instability. The linearized evolution at the roll is the self-adjoint operator
Choose the fixed-mean perturbation . Since , the Rayleigh quotient is positive. The periodic self-adjoint fourth-order operator therefore has a positive eigenvalue. This proves the transverse energy instability of nonconstant temperature rolls: every nonconstant roll is unstable wherever it exists.
The existence qualification matters. Constants are also stationary and are stable on the fixed-mean subspace for . Moreover, the periodic Poincaré inequality gives , so the roll identity implies for a nonconstant -periodic roll. Such rolls require on this specified cell; the conclusion for all positive is conditional on a nonconstant roll being available.
Define the perturbation energy per unit mass by . Dot the momentum equation with and the induction equation with , then take volume averages. The Coriolis force does no work. Pressure work and nonlinear advection are divergences and integrate to zero, as does the background transport. The two magnetic exchange terms add to
The velocity shear term supplies , while magnetic shear supplies . Integration by parts gives the viscous and resistive losses as and . For a solenoidal field , another integration by parts shows
All boundary terms cancel by the shearing-periodic identities. The resulting balance is
The source is work extracted from maintained differential rotation by Reynolds stress and the magnetic part of the Maxwell stress tensor; internal magnetic/kinetic exchange has canceled.
For the decay bound, the elementary inequality gives
A uniform spectral gap of a shearing-periodic box is needed; ordinary radial periodicity cannot simply be assumed. At each time the compatible Fourier modes are
They are orthogonal over the box. Their wavevectors are
For every nonconstant mode, , where : if or is nonzero, its corresponding unsheared component supplies the bound; otherwise and the radial component does. Zero mean excludes precisely the constant mode. The Parseval identity therefore proves the time-uniform Poincaré inequality
Apply it componentwise to and . With , the energy decay criterion for a viscous-resistive shearing box becomes
Hence
This excludes sustained finite-amplitude turbulence as well as infinitesimal growth. It is a sufficient stability condition, not a claim that every box above the threshold must become turbulent. The zero-mean restrictions matter: an imposed uniform magnetic field or bulk epicycle is not controlled by this spatial spectral-gap inequality.
Keep part of the diffusion rather than maximizing all of it. The elementary square inequality gives
Writing and , part (ii), the Poincaré inequality and part (i) imply
Multiply by and integrate from zero:
Thus stretching by a vertical velocity can transiently generate vertical magnetic energy, but cannot maintain it in this zero-mean periodic, -independent setting. For a strictly planar velocity, and the passive vertical component decays directly. The stated conclusion depends on positive magnetic diffusivity and the spectral gap supplied by zero mean.
Interpret the two-dimensional dependence as independence of , allowing the velocity to have a vertical component . Write and . The resistive induction equation, with a gauge fixing the potential's zero mean, gives
The first is a homogeneous advection-diffusion equation. Multiply it by , average over the periodic box and use integration by parts. Advection contributes zero because ; there are no surface terms. Thus
Multiplying by makes its derivative nonpositive. With the initial norm convention , this proves
The Poincaré inequality uses the zero-mean assumption; a spatially constant flux potential would otherwise have no gradient. Zero mean remains preserved by this incompressible periodic equation.
Use the zero-boundary Sobolev space with . The Poincaré inequality makes this a complete Hilbert space norm. The weak formulation is
Assume are measurable and satisfy the supplied bounds almost everywhere. The Cauchy-Schwarz inequality and Poincaré inequality give
Because and ,
This is the coercive variable-coefficient Dirichlet form. If , then ; more generally one may assume . Some such source regularity is necessary to invoke the theorem. All hypotheses of the Lax-Milgram theorem now hold, with coercivity constant and boundedness constant , giving the unique weak solution and every conforming Galerkin method approximation. This argument does not require a pointwise derivative of .
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.
A hyperbolic Riemann surface in potential theory is a noncompact Riemann surface admitting a positive Green function on a Riemann surface. With pole , this is a positive function harmonic off , having local form plus a harmonic function in a coordinate , and obtained as the minimal such positive function by exhaustion. This is a noncircular definition for the present proof. For a simply connected surface it is equivalent to disk conformal type; for arbitrary surfaces potential-theoretic hyperbolicity and disk universal-cover type should be distinguished.
The unit disk is an example. At pole zero its function is : it is positive in the punctured disk, harmonic there, has the correct logarithmic singularity, and tends to zero at the boundary. If another positive function has the same singularity and is harmonic elsewhere, subtract and apply the maximum principle for harmonic functions on disks of radius ; the boundary lower bound is . Letting shows that the other function dominates . Thus is indeed the positive Green function on a Riemann surface. At a general pole it is
Here is a Green-function exhaustion proof of disk uniformization. The main analytic idea is to build conformal maps on bordered disks from their Green functions and pass to an extremal limit. The positive global Green function prevents that limit from becoming constant.
First exhaust the noncompact simply connected surface by relatively compact domains containing , each with a smooth Jordan boundary. This topological step does not use conformal uniformization: take regular neighborhoods of finitely many coordinate disks covering successive compact sets and fill bounded complementary components. Simple connectedness and the Jordan curve theorem make the filled neighborhoods topological disks; enlarge them to be nested.
Each has a zero-boundary Green function on a Riemann surface . One analytic construction, independent of conformal uniformization, is as follows. Equip the compact bordered domain with a smooth conformal metric. Multiply by a smooth cutoff function equal to one near and zero near the boundary; call the result . Distributionally
where is smooth and supported away from . Solve with zero boundary data. This auxiliary Dirichlet problem can be obtained by minimizing over functions with zero boundary trace: the Poincaré inequality gives coercivity, minimization in a Hilbert space gives a weak solution, and interior and smooth-boundary elliptic regularity give a smooth solution. Then is harmonic away from , has the logarithmic pole, and vanishes at the boundary. It is positive by the maximum principle for harmonic functions, applied after removing a sufficiently small circle around its positive pole. This construction uses ordinary linear elliptic existence, not the desired uniformization theorem. Equivalently, the same bordered-domain Green functions can be constructed by the Perron method for the Dirichlet problem using local logarithmic barriers.
On choose local harmonic conjugates . Their period around the pole is , and every closed loop is homologous to an integer multiple of that loop. Therefore
is a single-valued holomorphic function. It extends across with one simple zero and has no others. Since , ; since on the boundary, there. Thus is proper. For any , choose a smooth interior contour sufficiently close to the boundary that everywhere on it. The contour surrounds and all possible preimages of , because throughout a thin boundary collar. By Rouché's theorem, has the same number of zeros inside as , namely one. Hence is onto and one-to-one, with nonzero derivative: it is a biholomorphism from to the disk.
Write near
Multiply by a unit constant so that, in the fixed coordinate, . Domain monotonicity gives : their difference is harmonic even at and nonnegative on . The global positive Green function on a Riemann surface similarly majorizes every . Comparing the regular parts shows that increases and is bounded above by the finite regular part of at . Consequently
On each fixed compact subdomain, the are eventually bounded holomorphic functions. Montel theorem and a diagonal subsequence therefore give a locally uniform convergence limit with and . The maximum modulus principle keeps its values strictly inside the disk. It is injective: for fixed , the functions have no zeros away from ; Hurwitz's theorem implies that their nonconstant limit has no other zeros. This is the locally uniform limit of univalent functions argument.
There is also an extremality property. For any holomorphic function with , the function is a disk self-map fixing zero. The Schwarz lemma gives . Passing to the limit yields .
Finally suppose omits . Necessarily . Apply the disk Möbius transformation . The nowhere-zero function has a global holomorphic logarithm because is simply connected, hence a holomorphic square root . It maps into the disk and . Normalize it by setting , so . Direct differentiation gives
The strict inequality follows from . This contradicts extremality. Therefore omits no point, and we conclude
Work with real functions and . To give the variational problem a definite domain, choose the homogeneous Dirichlet boundary conditions used in the next part. The natural form space is the zero-trace Sobolev space , with norm . The Sobolev trace operator is well defined because one-dimensional functions have absolutely continuous representatives. For example , so its endpoint trace is bounded in the norm; the other endpoint has the analogous estimate. The zero-trace space is closed in the Hilbert space , and the Poincaré inequality makes the chosen derivative norm equivalent to its full norm. Thus is a Hilbert space.
Differentiability of implies continuity on the compact interval. Hence there are finite constants and a positive with and . Define the symmetric bilinear form
The Cauchy-Schwarz inequality and Poincaré inequality give all the estimates required by the Lax-Milgram theorem:
That theorem states that a continuous coercive bilinear form on a Hilbert space and a bounded linear functional determine a unique weak solution. Completeness, continuity, coercivity and boundedness have now all been verified. Therefore there is a unique with for every .
The energy version of the given variational problem is . Its exact variation is
Boundedness of makes the last term quadratic in , so the Fréchet derivative is . Its vanishing for every test function is precisely
Taking compactly supported smooth tests and integrating in the distributional sense shows that this is the Euler-Lagrange equation . Conversely that weak equation gives the displayed stationary condition. The stationary point is actually the unique global minimizer, because
Equality occurs only when . This proves the variational equivalence, including existence and uniqueness rather than only a formal derivative calculation.
For precision about the literal L2 inner product , use the flux-domain realization of a one-dimensional elliptic operator
For such , weak integration by parts and its zero endpoint values give . On the larger form space , the same energy is interpreted by the weak operator pairing. The minimizer belongs to automatically: its weak equation gives , while . Thus its equation also holds as an equality of functions. This domain does not assume bounded , which mere differentiability would not supply. If one may equivalently use , but that stronger coefficient assumption is not needed for the proof here.
Choose linearly independent basis functions in the zero-trace Sobolev space, and put . A concrete conforming Galerkin method uses continuous piecewise-linear hat functions on an interval mesh, with zero endpoint values. Seek satisfying
Testing against each basis function gives
The matrix is symmetric, and for a nonzero coefficient vector , its represented function is nonzero by basis independence. The coercivity estimate gives . Thus is a positive-definite matrix, the finite-dimensional problem has a unique solution, and it minimizes the same energy over . This is Ritz-Galerkin equivalence for a symmetric coercive form.
Subtracting the continuous and discrete equations proves Galerkin orthogonality: for all . Let . For any comparison , orthogonality and the Cauchy-Schwarz inequality in this inner product give
Therefore
With , the same argument in the derivative norm gives the Céa lemma estimate .
Convergence now follows from approximation, not from a bare assertion that the residual is small. The defining density of smooth compactly supported functions in lets one approximate by such a smooth function. Its piecewise-linear interpolant has zero endpoints and derivative error tending to zero as the largest mesh interval tends to zero. For a smooth , the derivative on each element is the average of there, and the interval Poincaré inequality bounds its error by the element length times . Density and the boxed best-approximation estimate consequently give in , and hence in , without assuming a bounded derivative of . If the stronger regularity is available, the same interpolation estimate gives first-order convergence in the derivative norm.