Quadratic NLS: Difference between revisions
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{{equation | |||
| name = Quadratic NLS | |||
| equation = <math>iu_t + \Delta u = Q(u, \overline{u})</math> | |||
| fields = <math>u: \R \times \R^d \to \mathbb{C}</math> | |||
| data = <math>u(0) \in H^s(\R^d)</math> | |||
| hamiltonian = non-Hamiltonian | |||
| linear = [[free Schrodinger equation|Schrodinger]] | |||
| nonlinear = [[semilinear]] | |||
| critical = <math>\dot H^{d/2 - 2}(\R^d)</math> | |||
| criticality = N/A | |||
| covariance = N/A | |||
| lwp = varies | |||
| gwp = - | |||
| parent = [[NLS]] | |||
| special = Quadratic NLS on R, T, R^2, T^2, R^3, T^3 | |||
| related = - | |||
}} | |||
===Quadratic NLS=== | ===Quadratic NLS=== | ||
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* Scaling is <math>s_c=-3/2\,.</math> | * Scaling is <math>s_c=-3/2\,.</math> | ||
* For any quadratic non-linearity one can obtain LWP for <math>s | * For any quadratic non-linearity one can obtain LWP for <math>s \ge 0\,</math> [[CaWe1990]], [[Ts1987]]. | ||
* If the quadratic non-linearity is of <math>\underline{uu}\,</math> or <math>uu\,</math> type then one can push LWP to <math>s > -3/4.\,</math> [[ | * If the quadratic non-linearity is of <math>\underline{uu}\,</math> or <math>uu\,</math> type then one can push LWP to <math>s > -3/4.\,</math> [[KnPoVe1996b]]. | ||
** This can be improved to the Besov space <math>B^{-3/4}_{2,1}\,</math> [ | ** This can be improved to the Besov space <math>B^{-3/4}_{2,1}\,</math> [[MurTao2004]]. The <math>X^{s,b}\,</math> bilinear estimates fail for <math>H^{-3/4}\,</math> [[NaTkTs2001]]. | ||
* If the quadratic non-linearity is of <math>\underline{u}u\,</math> type then one can push LWP to <math>s > -1/4.\,</math> [[ | * If the quadratic non-linearity is of <math>\underline{u}u\,</math> type then one can push LWP to <math>s > -1/4.\,</math> [[KnPoVe1996b]]. | ||
* Since these equations do not have <math>L^2\,</math> conservation it is not clear whether there is any reasonable GWP result, except possibly for very small data. | * Since these equations do not have <math>L^2\,</math> conservation it is not clear whether there is any reasonable GWP result, except possibly for very small data. | ||
* If the non-linearity is <math>|u|u\,</math> then there is GWP in <math>L^2\,</math> thanks to <math>L^2\,</math> conservation, and ill-posedness below <math>L^2\,</math> by Gallilean invariance considerations in both the focusing [KnPoVe-p] and defocusing [CtCoTa-p2] cases. | * If the non-linearity is <math>|u|u\,</math> then there is GWP in <math>L^2\,</math> thanks to <math>L^2\,</math> conservation, and ill-posedness below <math>L^2\,</math> by Gallilean invariance considerations in both the focusing [[KnPoVe-p]] and defocusing [[CtCoTa-p2]] cases. | ||
====Quadratic NLS on <math>T</math>==== | ====Quadratic NLS on <math>T</math>==== | ||
* For any quadratic non-linearity one can obtain LWP for <math>s | * For any quadratic non-linearity one can obtain LWP for <math>s \ge 0\,</math> [[Bo1993]]. In the Hamiltonian case (<math>|u| u\,</math>) this is sharp by Gallilean invariance considerations [[KnPoVe-p]] | ||
* If the quadratic non-linearity is of <math>\underline{uu}\,</math> or <math>uu\,</math> type then one can push LWP to <math>s > -1/2.\,</math> [[ | * If the quadratic non-linearity is of <math>\underline{uu}\,</math> or <math>uu\,</math> type then one can push LWP to <math>s > -1/2.\,</math> [[KnPoVe1996b]]. | ||
* In the Hamiltonian case (a non-linearity of type <math>|u| u\,</math>) we have GWP for <math>s | * In the Hamiltonian case (a non-linearity of type <math>|u| u\,</math>) we have GWP for <math>s \ge 0\,</math> by <math>L^2\,</math> conservation. In the other cases it is not clear whether there is any reasonable GWP result, except possibly for very small data. | ||
[[Category:Equations]] | [[Category:Equations]] | ||
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====Quadratic NLS on <math>R^2</math>==== | ====Quadratic NLS on <math>R^2</math>==== | ||
* Scaling | * Scaling <math>s_c = -1.\,</math> | ||
* For any quadratic non-linearity one can obtain LWP for | * For any quadratic non-linearity one can obtain LWP for <math>s \ge 0\,</math> [[CaWe1990]], [[Ts1987]]. | ||
** In the Hamiltonian case (|u| u) this is sharp by Gallilean invariance considerations [KnPoVe-p] | ** In the Hamiltonian case (<math>|u| u\,</math>) this is sharp by Gallilean invariance considerations [[KnPoVe-p]] | ||
* If the quadratic non-linearity is of < | * If the quadratic non-linearity is of <math>\underline{uu}\,</math> or <math>u u\,</math> type then one can push LWP to <math>s > -3/4.\,</math> [[St1997]], [[CoDeKnSt2001]]. | ||
** This can be improved to the Besov space B^{-3/4}_{2,1} [ | ** This can be improved to the Besov space <math>B^{-3/4}_{2,1}\,</math> [[MurTao2004]]. | ||
* If the quadratic non-linearity is of | * If the quadratic non-linearity is of <math>u \underline{u}\,</math> type then one can push LWP to <math>s > -1/4.\,</math> [[Ta2001]]. | ||
* In the Hamiltonian case (a non-linearity of type |u| u) we have GWP for | * In the Hamiltonian case (a non-linearity of type <math>|u| u\,</math>) we have GWP for <math>s \ge 0\,</math> by <math>L^2\,</math> conservation. In the other cases it is not clear whether there is any reasonable GWP result, except possibly for very small data. | ||
** Below L^2 we have ill-posedness by Gallilean invariance considerations in both the focusing [KnPoVe-p] and defocusing [CtCoTa-p2] cases. | ** Below <math>L^2\,</math> we have ill-posedness by Gallilean invariance considerations in both the focusing [[KnPoVe-p]] and defocusing [[CtCoTa-p2]] cases. | ||
====Quadratic NLS on T^2==== | ====Quadratic NLS on T^2==== | ||
* If the quadratic non-linearity is of < | * If the quadratic non-linearity is of <math>\underline{uu}\,</math> type then one can obtain LWP for <math>s > -1/2\,</math> [[Gr-p2]] | ||
====Quadratic NLS on <math>R^3</math>==== | ====Quadratic NLS on <math>R^3</math>==== | ||
* Scaling is | * Scaling is <math>s_c = -1/2.\,</math> | ||
* For any quadratic non-linearity one can obtain LWP for | * For any quadratic non-linearity one can obtain LWP for <math>s \ge 0\,</math> [[CaWe1990]], [[Ts1987]]. | ||
* If the quadratic non-linearity is of < | * If the quadratic non-linearity is of <math>\underline{uu}\,</math> or <math>u u\,</math> type then one can push LWP to <math>s > -1/2.\,</math> [[St1997]], [[CoDeKnSt2001]]. | ||
* If the quadratic non-linearity is of | * If the quadratic non-linearity is of <math>u \underline{u}\,</math> type then one can push LWP to <math>s > -1/4.\,</math> [[Ta2001]]. | ||
* In the Hamiltonian case (a non-linearity of type |u| u) we have GWP for | * In the Hamiltonian case (a non-linearity of type <math>|u| u\,</math>) we have GWP for <math>s \ge 0\,</math> by <math>L^2\,</math> conservation. In the other cases it is not clear whether there is any reasonable GWP result, except possibly for very small data. | ||
** Below L^2 we have ill-posedness by Gallilean invariance considerations in both the focusing [KnPoVe-p] and defocusing [CtCoTa-p2] cases. | ** Below <math>L^2\,</math> we have ill-posedness by Gallilean invariance considerations in both the focusing [[KnPoVe-p]] and defocusing [[CtCoTa-p2]] cases. | ||
====Quadratic NLS on <math>T^3</math>==== | ====Quadratic NLS on <math>T^3</math>==== | ||
* If the quadratic non-linearity is of < | * If the quadratic non-linearity is of <math>\underline{uu}\,</math> type then one can obtain LWP for <math>s > -3/10\,</math> [[Gr-p2]]. | ||
[[Category:Equations]] | [[Category:Equations]] |
Latest revision as of 01:30, 17 March 2007
Description | |
---|---|
Equation | |
Fields | |
Data class | |
Basic characteristics | |
Structure | non-Hamiltonian |
Nonlinearity | semilinear |
Linear component | Schrodinger |
Critical regularity | |
Criticality | N/A |
Covariance | N/A |
Theoretical results | |
LWP | varies |
GWP | - |
Related equations | |
Parent class | NLS |
Special cases | Quadratic NLS on R, T, R^2, T^2, R^3, T^3 |
Other related | - |
Quadratic NLS
Equations of the form
which a quadratic function of its arguments are quadratic nonlinear Schrodinger equations.
Quadratic NLS on R
- Scaling is
- For any quadratic non-linearity one can obtain LWP for CaWe1990, Ts1987.
- If the quadratic non-linearity is of or type then one can push LWP to KnPoVe1996b.
- This can be improved to the Besov space MurTao2004. The bilinear estimates fail for NaTkTs2001.
- If the quadratic non-linearity is of type then one can push LWP to KnPoVe1996b.
- Since these equations do not have conservation it is not clear whether there is any reasonable GWP result, except possibly for very small data.
- If the non-linearity is then there is GWP in thanks to conservation, and ill-posedness below by Gallilean invariance considerations in both the focusing KnPoVe-p and defocusing CtCoTa-p2 cases.
Quadratic NLS on
- For any quadratic non-linearity one can obtain LWP for Bo1993. In the Hamiltonian case () this is sharp by Gallilean invariance considerations KnPoVe-p
- If the quadratic non-linearity is of or type then one can push LWP to KnPoVe1996b.
- In the Hamiltonian case (a non-linearity of type ) we have GWP for by conservation. In the other cases it is not clear whether there is any reasonable GWP result, except possibly for very small data.
Quadratic NLS on
- Scaling
- For any quadratic non-linearity one can obtain LWP for CaWe1990, Ts1987.
- In the Hamiltonian case () this is sharp by Gallilean invariance considerations KnPoVe-p
- If the quadratic non-linearity is of or type then one can push LWP to St1997, CoDeKnSt2001.
- This can be improved to the Besov space MurTao2004.
- If the quadratic non-linearity is of type then one can push LWP to Ta2001.
- In the Hamiltonian case (a non-linearity of type ) we have GWP for by conservation. In the other cases it is not clear whether there is any reasonable GWP result, except possibly for very small data.
Quadratic NLS on T^2
- If the quadratic non-linearity is of type then one can obtain LWP for Gr-p2
Quadratic NLS on
- Scaling is
- For any quadratic non-linearity one can obtain LWP for CaWe1990, Ts1987.
- If the quadratic non-linearity is of or type then one can push LWP to St1997, CoDeKnSt2001.
- If the quadratic non-linearity is of type then one can push LWP to Ta2001.
- In the Hamiltonian case (a non-linearity of type ) we have GWP for by conservation. In the other cases it is not clear whether there is any reasonable GWP result, except possibly for very small data.
Quadratic NLS on
- If the quadratic non-linearity is of type then one can obtain LWP for Gr-p2.