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Condition Spectrum of Rank One Operators and Preservers of the Condition Spectrum of Skew Product of Operators
Complex Analysis and Operator Theory ( IF 0.7 ) Pub Date : 2020-09-08 , DOI: 10.1007/s11785-020-01028-9
Zine El Abidine Abdelali , Hamid Nkhaylia

Let \({\mathscr {L}}({\mathscr {H}})\) be the algebra of all bounded linear operators on a complex Hilbert space \({\mathscr {H}}\) with \(\dim {\mathscr {H}}\ge 3\), and let \(\mathscr {A} \) and \(\mathscr {B}\) be two subsets of \({\mathscr {L}}({\mathscr {H}})\) containing all operators of rank at most one. For \(\varepsilon \in (0,1)\) the \(\varepsilon \)-condition spectrum of any \(A\in {\mathscr {L}}({\mathscr {H}})\) is defined by$$\begin{aligned} \sigma _{\epsilon }(A) := \sigma (A)\cup \left\{ \lambda \in \mathbb {C}\setminus \sigma (A):~\Vert (\lambda I -A)^{-1}\Vert \Vert \lambda I -A\Vert \ge \frac{1}{\varepsilon }\right\} , \end{aligned}$$where \(\sigma (A)\) is the spectrum of A. The \(\varepsilon \)-condition spectral radius of A is given by$$\begin{aligned} r_\varepsilon (A):=\sup \left\{ |z| : z\in \sigma _\varepsilon (A) \right\} . \end{aligned}$$We compute the \(\varepsilon \)-condition spectrum of any operator of rank at most one, and give an explicit formula for its \(\varepsilon \)-condition spectral radius. It is then illustrated that the results can be applied to characterize surjective mappings \(\phi :\mathscr {A} \longrightarrow \mathscr {B}\) satisfying$$\begin{aligned} \delta (\phi (A)^*\phi (B)) = \delta (A^*B) \quad \text{ for } \text{ all } A,B\in \mathscr {A} \end{aligned}$$where \(\delta \) stands for \(\sigma _\varepsilon (\cdot )\) or \(r_\varepsilon (\cdot ).\)

中文翻译:

一阶算子的条件谱和算子的偏积条件谱的保存者

\({\ mathscr {L}}({\ mathscr {H}})\)是带有\(\ dim的复数希尔伯特空间\({\ mathscr {H}} \\)上所有有界线性算子的代数{\ mathscr {H}} \ ge 3 \),然后让\(\ mathscr {A} \)\(\ mathscr {B} \)\({\ mathscr {L}}({\ mathscr {H}})\)包含所有排名最高的运算符。对于\(\ varepsilon \ in(0,1)\),任何\(A \ in {\ mathscr {L}}({\ mathscr {H}})\)\(\ varepsilon \)条件频谱为被定义为$$ \ begin {aligned} \ sigma _ {\ epsilon}(A):= \ sigma(A)\ cup \ left \ {\ lambda \ in \ mathbb {C} \ setminus \ sigma(A):〜\ Vert (\ lambda I -A)^ {-1} \ Vert \ Vert \ lambda I -A \ Vert \ ge \ frac {1} {\ varepsilon} \ right \},\ end {aligned} $$其中\(\ sigma(A)\)A的频谱。的\(\ varepsilon \) -condition的谱半径由下式给出$$ \ {开始对准} R_ \ varepsilon(A):= \ SUP \左\ {| Z | :z \ in \ sigma _ \ varepsilon(A)\ right \}。\ end {aligned} $$我们计算任何排名最高的算子的\(\ varepsilon \)-条件谱,并为其\(\ varepsilon \)给出一个明确的公式条件光谱半径。然后说明可以将结果应用于表征满足$$ \ begin {aligned} \ delta(\ phi(A)^的射影映射\(\ phi:\ mathscr {A} \ longrightarrow \ mathscr {B} \)的特征* \ phi(B))= \ delta(A ^ * B)\ quad \ text {for} \ text {all} A,B \ in \ mathscr {A} \ end {aligned} $$其中\(\ delta \)代表\(\ sigma _ \ varepsilon(\ cdot)\)\(r_ \ varepsilon(\ cdot)。\)
更新日期:2020-09-08
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