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Dense subspaces

Proposition 6.11 implies that irreducible representations are the identifiable basic building blocks of all finite-dimensional representations of compact groups. These results can be generalized to infinite-dimensional representations of compact groups. The main difficulty is not with the representation theory, but rather with linear operators on infinite-dimensional vector spaces. Readers interested in the mathematical details ( dense subspaces and so on) should consult a book on functional analysis, such as Reed and Simon [RS],... [Pg.198]

Some readers may wonder why we make this restriction, especially if they have experience applying angnlar momentnm operators to discontinuous physical quantities. It is possible, with some effort, to make mathematical sense of the angular momentum of a discontinuous quantity hut, as the purposes of the text do not require the result, we choose not to make the effort. Compare spherical harmonics, which are effective because physicists know how to extrapolate from spherical harmonics to many cases of interest by taking linear combinations likewise, dense subspaces are useful because mathematicians know how to extrapolate from dense subspaces to the desired spaces. [Pg.243]

To summarize, we have considered a quantum mechanical N-body system with dilation analytic potentials, Ey, and its dependence on the scaling parameter i] = t] (for some 0 < < 0, depending on V). To be more detailed, we need to restrict Hilbert space to a dense subspace [54], the so-called Nelson class N, which provides the domain over which the unbounded complex scaling is well-defined. Closing the subset < - D T) in ft, see [9] and references therein for a more detailed expose, one obtains the scaled version of the original partial differential equation... [Pg.97]

In the golden rule approximation, the decay rates are the eigenvalues of the matrix T. The result that when the bound-state subspace is dense, T is of a rank smaller than the number of bound states means that, in the golden rule approximation, some of these bound states will remain bound. That is, they are trapped states and do not decay. Of course, the golden rule is just... [Pg.639]

A mode coupling theory is recently developed [135] which goes beyond the time-dependent density functional theory method. In this theory a projection operator formalism is used to derive an expression for the coupling vertex projecting the fluctuating transition frequency onto the subspace spanned by the product of the solvent self-density and solvent collective density modes. The theory has been applied to the case of nonpolar solvation dynamics of dense Lennard-Jones fluid. Also it has been extended to the case of solvation dynamics of the LJ fluid in the supercritical state [135],... [Pg.314]

For the subspaces to generate a multiresolution, they must satisfy some conditions. It has already been mentioned that the subspaces are nested, this means that Vj Z, Vj c Vj+i. That is, a function at a lower resolution can be represented by a function at a higher resolution. Since information about a function is lost as the resolution decreases, eventually the approximated function will converge to 0, i.e., limj oofv, = 0. and the intersection of all subspaces Vj is equal to 0, or, Pljl oo Conversely, as the resolution increases the approximated function gets progressively closer to the original function limj c fvj — f(t), and, UjI°°oo% dense in L (R), that is, the space L (R) is a closure of the union of all subspaces Vj. [Pg.68]

In a cube of a space R", let a basis = (xi,...,Xfc), a/ = (xjb+i,. .., be chosen and Af be a A -dimensional constructive subset (that is, under projection onto a certain A -dimensional subspace its image is dense, whereas under projection onto any (A + l)-dimensional subspace it is nowhere dense) in Then there exist open constructive sets Op (where p = 0,..., T) in the space (x ), such that ... [Pg.286]

In terms of a Petrov-Galerkin method the single trial (and test) space is replaced by a sequence of nested subspaces V = Vj j>o such that Uj>o is dense in Ji. These spaces are often given in terms of their bases, i.e. ... [Pg.248]


See other pages where Dense subspaces is mentioned: [Pg.243]    [Pg.346]    [Pg.243]    [Pg.346]    [Pg.34]    [Pg.375]    [Pg.21]    [Pg.222]    [Pg.577]    [Pg.316]    [Pg.22]    [Pg.163]    [Pg.213]    [Pg.74]    [Pg.181]    [Pg.436]    [Pg.41]    [Pg.69]    [Pg.181]    [Pg.239]    [Pg.3134]    [Pg.227]   
See also in sourсe #XX -- [ Pg.198 , Pg.346 ]




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