Results 11 to 20 of about 26,596 (173)

Maximal Discrete Subgroups in Unitary Groups of Operator Algebras [PDF]

open access: yesSymmetry, Integrability and Geometry: Methods and Applications, 2022
. We show that if a group G is mixed-identity-free, then the projective unitary group of its group von Neumann algebra contains a maximal discrete subgroup containing G . The proofs are elementary and make use of free probability theory.
V. Alekseev, Andreas Berthold Thom
semanticscholar   +1 more source

Modular Structure and Inclusions of Twisted Araki-Woods Algebras [PDF]

open access: yesCommunications in Mathematical Physics, 2022
In the general setting of twisted second quantization (including Bose/Fermi second quantization, S-symmetric Fock spaces, and full Fock spaces from free probability as special cases), von Neumann algebras on twisted Fock spaces are analyzed.
Ricardo Correa da Silva, Gandalf Lechner
semanticscholar   +1 more source

Evolutionary dynamics on a regular networked structured and unstructured multi‐population

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView., 2023
Abstract In this paper, we study collective decision‐making in a multi‐population framework, where groups of individuals represent whole populations that interact by means of a regular network. Each group consists of a number of players and every player can choose between two options.
Wouter Baar   +2 more
wiley   +1 more source

Mixed powerdomains for probability and nondeterminism [PDF]

open access: yesLog. Methods Comput. Sci., 2016
We consider mixed powerdomains combining ordinary nondeterminism and probabilistic nondeterminism. We characterise them as free algebras for suitable (in)equation-al theories; we establish functional representation theorems; and we show equivalencies ...
K. Keimel, G. Plotkin
semanticscholar   +1 more source

An ant colony genetic fusion routing algorithm based on soft define network

open access: yesIET Networks, EarlyView., 2022
Abstract Aiming at the problem that there are many paths in data forwarding in soft define network (SDN) network, and the optimal path is difficult to find, combined with the advantages of ant colony algorithm and Genetic algorithm (GA), a routing control strategy based on the ant colony genetic fusion algorithm is proposed.
Kaixin Zhao, Yong Wei, Yang Zhang
wiley   +1 more source

Amalgamated Free Lévy Processes as Limits of Sample Covariance Matrices

open access: yesJournal of theoretical probability, 2022
We prove the existence of joint limiting spectral distributions for families of random sample covariance matrices modeled on fluctuations of discretized Lévy processes.
G. Zitelli
semanticscholar   +1 more source

From Operator Algebras to Complexity Theory and Back

open access: yesNotices of the American Mathematical Society, 2019
Quantum mechanics and the theory of operator algebras have been intertwined since their origin. In the 1930s [20] vonNeumann laid the foundations for the theory of (what are now known as) von Neumann algebras with the explicit goal of establishing ...
Thomas Vidick
semanticscholar   +1 more source

Transient modeling of extraction columns: Parameter estimation, uncertainty analysis, and operation optimization

open access: yesAIChE Journal, EarlyView.
Abstract Despite extensive modeling efforts in extraction research, transient column models are rarely applied in industry due to concerns regarding parameter identifiability and model reliability. To address this, we analyzed uncertainty propagation from estimated parameters in a previously introduced column model and assessed identifiability via ill ...
Andreas Palmtag   +2 more
wiley   +1 more source

Revealing Protein–Protein Interactions Using a Graph Theory‐Augmented Deep Learning Approach

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study presents a fast, cost‐efficient approach for classifying protein–protein interactions by integrating graph‐theory parametrization with deep learning (DL). Multiscale features extracted from graph‐encoded polarized‐light microscopy (PLM) images enable accurate prediction of binding strengths.
Bahar Dadfar   +5 more
wiley   +1 more source

Predicting Postresection Colorectal Liver Metastases Recurrence Using Advanced Graph Neural Networks with Explainability and Causal Inference

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces a framework that combines graph neural networks with causal inference to forecast recurrence and uncover the clinical and pathological factors driving it. It further provides interpretability, validates risk factors via counterfactual and interventional analyses, and offers evidence‐based insights for treatment planning ...
Jubair Ahmed   +3 more
wiley   +1 more source

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