Cubic NLS on T: Difference between revisions
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| nonlinear = [[semilinear]] | | nonlinear = [[semilinear]] | ||
| critical = <math>\dot H^{-1/2}(\R)</math> | | critical = <math>\dot H^{-1/2}(\R)</math> | ||
| criticality = mass-subcritical;<br> energy-subcritical | | criticality = mass-subcritical;<br> energy-subcritical | ||
| covariance = [[Galilean]] | | covariance = [[Galilean]] | ||
| lwp = <math>H^s(\mathbb{T})</math> for <math>s \geq 0</math> | | lwp = <math>H^s(\mathbb{T})</math> for <math>s \geq 0</math> | ||
Latest revision as of 05:06, 8 August 2006
| Description | |
|---|---|
| Equation | |
| Fields | |
| Data class | |
| Basic characteristics | |
| Structure | completely integrable |
| Nonlinearity | semilinear |
| Linear component | Schrodinger |
| Critical regularity | |
| Criticality | mass-subcritical; energy-subcritical |
| Covariance | Galilean |
| Theoretical results | |
| LWP | for |
| GWP | for |
| Related equations | |
| Parent class | cubic NLS |
| Special cases | - |
| Other related | KdV, mKdV |
The theory of the cubic NLS on the circle is as follows.
- LWP for Bo1993.
- GWP for thanks to conservation Bo1993.
- One also has GWP for random data whose Fourier coefficients decay like (times a Gaussian random variable) Bo1995c. Indeed one has an invariant measure.
- If the cubic non-linearity is of type (instead of ) then one can obtain LWP for Gr-p2
- Remark: This equation is completely integrable AbMa1981; all higher order integer Sobolev norms stay bounded. Growth of fractional norms might be interesting, though.