Both Mass conservation for the nonlinear Schrödinger equation and Energy conservation for the nonlinear Schrödinger equation hold throughout the maximal lifespan. Since , the Sharp Gagliardo-Nirenberg inequality gives the uniform estimate
Thus the gradient norm stays bounded. The Blowup alternative for the nonlinear Schrödinger equation rules out a finite endpoint of the lifespan in either time direction, so the solution is global.
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.
The NLS ground state is the positive radial solution of
It is, up to phase, translation, and scaling, the optimizer of the Sharp Gagliardo-Nirenberg inequality
Consequently
Equality in the sharp inequality occurs precisely for the symmetry orbit of .
By the Blowup alternative for the nonlinear Schrödinger equation, choose with , and set
The mass-critical scaling gives
The sequence is bounded and radial in , so part 4 yields, after extraction, weak and strong convergence to some . The energy identity gives . The Sharp Gagliardo-Nirenberg inequality and weak lower semicontinuity force equality in every limiting norm inequality. Hence strongly in , and the variational characterization identifies
for some ; radiality removes translations and the gradient normalization fixes the scale.