Vector-valued distributions and Hardy's uncertainty principle for operators
Rev. Mat. Iberoamericana, Tome 26 (2010) no. 1, p. 133-146 / Harvested from Project Euclid
Suppose that $f$ is a function on $\mathbb{R}^n$ such that $\exp(a |\cdot|^2) f$ and $\exp(b |\cdot|^2) \hat f$ are bounded, where $a,b > 0$. Hardy's Uncertainty Principle asserts that if $ab > \pi^2$, then $f = 0$, while if $ab = \pi^2$, then $f = c\exp(-a|\cdot|^2)$. In this paper, we generalise this uncertainty principle to vector-valued functions, and hence to operators. The principle for operators can be formulated loosely by saying that the kernel of an operator cannot be localised near the diagonal if the spectrum is also localised.
Publié le : 2010-03-15
Classification:  uncertainty principle,  linear operators,  Hardy's theorem,  42B05,  47G10
@article{1266330120,
     author = {Cowling
, 
M. G. and Demange
, 
B. and Sundari
, 
M.},
     title = {Vector-valued distributions and Hardy's uncertainty principle for operators},
     journal = {Rev. Mat. Iberoamericana},
     volume = {26},
     number = {1},
     year = {2010},
     pages = { 133-146},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1266330120}
}
Cowling
, 
M. G.; Demange
, 
B.; Sundari
, 
M. Vector-valued distributions and Hardy's uncertainty principle for operators. Rev. Mat. Iberoamericana, Tome 26 (2010) no. 1, pp.  133-146. http://gdmltest.u-ga.fr/item/1266330120/