Redundancy and frame potential of finite frames
Pages 1-14
https://doi.org/10.22072/wala.2024.2033719.1456
Mahdieh sadat Aghaei, Mohammad Ali Hasankhani Fard
Abstract This paper is concentrated on redundancy and frame potential of finite frames in $n$-dimensional Hilbert space $\mathcal{H}_n$. More precisely, all possible finite frame redundancies are characterized. Also, all possible frame potential of finite frames with prescribed norms is characterized. Finally, the results are presented for dimensions $n=2$ and $n=3$. ...
MAPS PRESERVING MIXED JORDAN TRIPLE PRODUCT OF OPERATORS ON PRIME ALGEBRAS
Pages 15-23
https://doi.org/10.22072/wala.2025.2052271.1469
Sheida Asghari, Roja Hosseinzadeh
Abstract Let $\mathcal{A}$ and $\mathcal{B}$
be unital prime algebras and $\mathcal{A}$ contains a non-trivial idempotent $P_1$.
We consider a bijective map $\phi: \mathcal{A} \rightarrow \mathcal{B}$ which satisfies
\begin{equation*}
\phi (A.BoA)= \phi (A). \phi(B)o \phi(A)
\end{equation*}
for every element $A,B\in \mathcal{A}$, where '.' is a usual product and "$\circ$" is a Jordan product.
A Robust Optimization Approach
Pages 24-47
https://doi.org/10.22072/wala.2025.2052894.1470
Atefeh Mohebi, Hossein Mohebi
Abstract The theory of constrained best approximation in Hilbert spaces has been systematically developed well over a decade and effective characterizations of best approximations have been known under some qualifications on the constraints. Yet, the existing theory does not explain how to characterize a best approximation in the face of data uncertainty in the constraints, despite the reality that the data of the constraints are often uncertain (that is, they are not known exactly) due to estimation errors, prediction errors or lack of information. This paper explains when the best approximation over uncertain linear constraints in a real Hilbert space is immunized against bounded data uncertainty. This study is done by characterizing the best approximation of the robust counterpart of the uncertain constrained best approximation problem where the constraints are enforced for all possible uncertainties within the prescribed uncertainty sets. We show that under a new robust strong conical hull intersection property (robust strong CHIP) the same kind of effective characterizations of constrained best approximation hold for the robust best approximation that is immunized against bounded data uncertainty. We also establish a strong duality theorem for the robust constrained best approximation problem and its associated dual problem under the robust strong CHIP. Some examples are given to illustrate the obtained results.
An Operator Bundle admitting no Frames
Pages 48-53
https://doi.org/10.22072/wala.2025.2076825.1479
Mohammad Bagher Asadi, Zahra Hassanpour-Yakhdani
Abstract In [4], we use equivariant functions on the space of irreducible representations
of a C∗-algebra A to develop a duality theory for Hilbert C∗-modules. Within this
framework, each Hilbert C∗-module corresponds to an operator bundle defined
over the set of all non-zero irreducible representations of A.
In this short note, we characterize the condition under which operator bundles,
regarded as Hilbert C∗-modules admit no frames.