Conclusions The third method embodies the evaluation of patients to nursing work much better, judges the merits and shortcomings of nursing work much well and more scientifically, predict the implied and potential demands of the patients, thus promoting the continuous advancement of the quality of nursing service effectively.
The analysis optimization design to the construction project investment influence,the discussion optimization design operation difficult solution with should to the way,be able to adapt our country modernization demand well by the time,adapts behind our country economy reforming to the market economy demand.
In this paper, we prove the degenerations of Schubert varieties in a minusculeG/P, as well as the class of Kempf varieties in the flag varietySL(n)/B, to (normal) toric varieties.
Well known wonderfulG-varieties are those of rank zero, namely the generalized flag varietiesG/P, those of rank one, classified in [A], and certain complete symmetric varieties described in [DP] such as the famous space of complete conics.
There are two well known combinatorial tools in the representation theory ofSLn, the semi-standard Young tableaux and the Gelfand-Tsetlin patterns.
It is well-known that the ring of invariants associated to a non-modular representation of a finite group is Cohen-Macaulay and hence has depth equal to the dimension of the representation.
As a corollary, we obtain a new proof for Roberts' well-known counterexample in dimension seven.
A Search for Best Constants in the Hardy-Littlewood Maximal Theorem
We next show that this result is best possible by including a result of Kalton: A frame can be represented as a linear combination of two orthonormal bases if and only if it is a Riesz basis.
The article extends upon previous work by Temlyakov, Konyagin, and Wojtaszczyk on comparing the error of certain greedy algorithms with that of best m-term approximation with respect to a general biorthogonal system in a Banach space X.
We obtain best possible indices for the above inequality when Γ is any convex curve and under various geometric assumptions.
The proof relies on a family of inversion formulas for the Segal-Bargmann transform, which can be "tuned" to give the best estimates for a given value of p.