Taking the Fourier transform of the equation in the sense of distributions gives
The Fourier multiplier
is everywhere positive. Define . Since
we have
Thus exists and obeys the required estimate. If two solutions existed, their difference would have ; positivity of proves uniqueness.
A classical solution needs continuous derivatives through order four. Applying the Sobolev embedding theorem with to shows that this is guaranteed when
or equivalently
The preceding estimate gives constants such that, whenever ,
Choose so that , and then choose so that . If , the closed ball is mapped into itself.
For , factor the cubic gradient nonlinearity as
The same Sobolev embedding theorem and the Holder inequality imply
The elliptic estimate therefore yields
Shrinking further makes , so is a contraction mapping of the closed ball. This ball is complete because is a Banach space. The contraction mapping theorem gives a fixed point , and its defining equation is
Thus the nonlinear elliptic boundary value problem has a solution for sufficiently small .
In three dimensions the Sobolev embedding theorem gives
Consequently, for ,
Thus . The Dirichlet Poisson regularity theorem on a bounded domain says that
has a unique and
Hence is well defined.
Taking the Fourier transform of a derivative gives
Thus, away from ,
This formula determines the solution uniquely; a distribution supported only at cannot belong to unless it is zero.
For , the Fourier transform estimate and local integrability of in three dimensions control the squared norm. For ,
The Plancherel theorem therefore yields . Finally the Sobolev embedding theorem in three dimensions gives when , namely when .
Part 3 and Mass conservation for the nonlinear Schrödinger equation give
The last relation and the energy formula imply
where the final equality follows from the Pohozaev identity for the mass-critical NLS ground state. Thus is a minimizing sequence for the Weinstein functional with the same normalization as .
Apply the profile decomposition from part 4. The Sharp Gagliardo-Nirenberg inequality bounds each profile by the product of its gradient energy and its mass to the power . Since the total mass is exactly , any split into two nonzero profiles would make the limiting inequality strict. Hence precisely one profile carries all the mass and gradient energy. The norm decouplings then make the remainder converge strongly to zero in . For suitable translations ,
and the Sobolev embedding theorem gives the required strong convergence in . This is the compactness of a mass-critical minimizing sequence.
First replace by and later let . In the weak subsolution inequality use the admissible truncations approximating . Uniform ellipticity, the coefficient bound, Cauchy-Schwarz inequality, and Young inequality give
and therefore
Apply the Sobolev embedding theorem to . The preceding estimate yields, for concentric balls ,
Starting with , taking , and choosing radii decreasing to , the product of constants converges because . Letting proves
This exponent-raising argument is Moser iteration.
Write the nonlinearity as
In one dimension, the Sobolev embedding theorem gives . Hence
Thus is locally Lipschitz.
On define
On a ball of radius , unitarity gives
Choose and then small enough that the first bound preserves the ball and . The contraction mapping theorem gives a unique fixed point. Precisely, the local mild solution is
For general energy data , this solution need not be differentiable in . If , standard semilinear evolution theory and the smoothness of give a local classical solution.
The blow-up alternative for a semilinear evolution equation says that the solution continues while its norm stays finite, but global existence does not hold for every datum. Spatially constant solutions obey
For sufficiently large with , the solution grows until and blows up in finite time. These constant functions are periodic and belong to every Sobolev space, so they provide finite-time blow-up examples for the original equation.
Taking the Fourier transform of the distributional equation gives
because is even. The multiplier therefore gives the regularity gain for one plus an even power of the Laplacian
The Sobolev embedding theorem in its derivative form says that
To make all derivatives through order continuous, and simultaneously make continuous, it is enough and in general necessary to have
Under this condition the distributional identity is a pointwise identity, so is a classical solution. Thus
At the borderline , the standard Sobolev embedding does not in general give continuity.
Since is bounded and smooth, the Sobolev embedding theorem gives continuous embeddings and . Because ,
Taking the norm in time gives
For , the mean value theorem and imply
Apply the Generalized Holder inequality in space, using for the quadratic products and for the cubic products, and then use the two Sobolev embeddings. Pointwise in time this yields
Taking the norm in time proves the required estimate with the factor .
For and , Fourier inversion and Cauchy--Schwarz give
The last integral is finite exactly when . Thus the sobolev embedding theorem gives
To see why the endpoint relevant to fails, choose a smooth cutoff supported near the origin and equal to one there, and set
Near zero, contributes , while contributes a constant multiple of . Both are finite, so , but is unbounded.
The derivative hypothesis implies that is a symbol of order at high frequency. Choose cutoffs in and a high-frequency cutoff in . The corresponding Fourier multiplier is a parametrix for , and the symbol calculus, together with the product formula from part (b), gives the localized estimate
for some sufficiently negative . The commutator terms contain derivatives ; the assumed factor lowers their order and lets them be absorbed inductively. Therefore
If is smooth, it belongs locally to for every . Starting from the fact that every compactly supported distribution has some negative Sobolev order and repeatedly applying the gain places in every local Sobolev space. The Sobolev embedding theorem then gives . Thus is a hypoelliptic differential operator.
The homogeneous Sobolev embedding theorem gives
so
Now is equivalent to , which gives . Similarly is equivalent to , which gives .
Interpolate between and and then use the preceding Sobolev embedding theorem:
Mass conservation for the nonlinear Schrödinger equation fixes , while Energy conservation for the nonlinear Schrödinger equation and imply
Since , rearrangement gives
uniformly on the maximal lifespan.
The sobolev embedding theorem in three dimensions and the periodic elliptic estimate for the Stokes operator give
The last step uses the absence of the zero Fourier mode: on mean-zero periodic fields, the Poincare inequality makes the homogeneous norm controlled by .
Take the inner product of the temperature equation with . The spectral projection disappears against , and part (a)(iii) cancels transport. Thus
The periodic Poincare inequality, part (i), and the Cauchy-Schwarz inequality imply
The Gronwall inequality therefore gives, for ,
This defines a bound independent of , and part (i) then gives
Integrating the energy identity and using the same bound on its right-hand side gives
It remains to estimate the time derivative. For , the Fourier projection is a contraction in , and the skew identity from part (a) gives
The sobolev embedding theorem and the periodic elliptic estimate for the Stokes operator bound by . Moreover,
The already obtained bounds therefore imply
with independent of .
For a time-independent strictly positive Dirichlet realization of an elliptic operator and , the eigenfunction expansion
solves with homogeneous Dirichlet boundary conditions. For , every power times the exponential is bounded, so the series and all its time derivatives converge in all the Sobolev domains of powers of an elliptic Dirichlet operator. Elliptic regularity and the Sobolev embedding theorem give smoothness up to the spatial boundary for positive time. Parseval identity and the dominated convergence theorem give in as .
For a nonnegative weak solution of a homogeneous divergence-form elliptic equation on , , with symmetric measurable , set and . There is independent of such that
Test the equation with a cutoff times , first regularized or truncated, to get . Apply a fixed-domain Sobolev embedding theorem to and take the power. Keeping the constant inside that power is crucial for Moser iteration.