Continuous Deutsch Uncertainty Principle and Continuous Kraus Conjecture
K. Mahesh Krishna

TL;DR
This paper establishes a continuous version of the Deutsch uncertainty principle using Parseval frames in Hilbert spaces, providing improved bounds and extending the conjecture to Banach spaces.
Contribution
It introduces a continuous Deutsch uncertainty principle with tighter bounds and formulates the Kraus conjecture for continuous Parseval frames, extending the principle beyond discrete settings.
Findings
Derived a continuous Deutsch uncertainty inequality with improved bounds.
Formulated the Kraus conjecture for continuous Parseval frames.
Extended the uncertainty principle to Banach spaces.
Abstract
Let , be measure spaces and , be 1-bounded continuous Parseval frames for a Hilbert space . Then we show that \begin{align} (1) \quad \quad \quad \quad \log (\mu(\Omega)\nu(\Delta))\geq S_\tau(h)+S_\omega (h)\geq -2 \log \left(\frac{1+\displaystyle \sup_{\alpha \in \Omega, \beta \in \Delta}|\langle\tau_\alpha , \omega_\beta\rangle|}{2}\right) , \quad \forall h \in \mathcal{H}_\tau \cap \mathcal{H}_\omega, \end{align} where \begin{align*} &\mathcal{H}_\tau := \{h_1 \in \mathcal{H}: \langle h_1 , \tau_\alpha \rangle \neq 0, \alpha \in \Omega\}, \quad \mathcal{H}_\omega := \{h_2 \in \mathcal{H}: \langle h_2, \omega_\beta \rangle \neq 0, \beta \in \Delta\},\\ &S_\tau(h):= -\displaystyle\int\limits_{\Omega}\left|\left \langle \frac{h}{\|h\|}, \tau_\alpha\right\rangle…
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Taxonomy
TopicsMathematical Analysis and Transform Methods
