Results 41 to 50 of about 59,031 (278)

Local stability of the free additive convolution

open access: yesJournal of Functional Analysis, 2016
We prove that the system of subordination equations, defining the free additive convolution of two probability measures, is stable away from the edges of the support and blow-up singularities by showing that the recent smoothness condition of Kargin is always satisfied.
Bao, Zhigang   +2 more
openaire   +3 more sources

On multiplicative conditionally free convolution [PDF]

open access: yesTransactions of the American Mathematical Society, 2011
Using the combinatorics of non-crossing partitions, we construct a conditionally free analogue of the Voiculescu's S-transform. The result is applied to analytical description of conditionally free multiplicative convolution and characterization of infinite divisibility.
Popa, Mihai, Wang, Jiun-Chau
openaire   +2 more sources

Remarks on $t$-transformations of measures and convolutions [PDF]

open access: yes, 2001
. – A family of transformations of probability measures is constructed, and used to define transformations of convolutions. The relations between moments and cumulants of a measure and its transformation are presented.
Bożejko, Marek, Wysoczański, Janusz
core   +1 more source

Some Limiting Laws in Non-Commutative Probability

open access: yesAxioms
In this article, we provide some new limiting laws related to the free multiplicative law of large numbers and involving free and Boolean additive convolutions.
Ayed. R. A. Alanzi   +2 more
doaj   +1 more source

The exponential map in non-commutative probability

open access: yes, 2016
The wrapping transformation $W$ is a homomorphism from the semigroup of probability measures on the real line, with the convolution operation, to the semigroup of probability measures on the circle, with the multiplicative convolution operation.
Anshelevich, Michael, Arizmendi, Octavio
core   +1 more source

Aliasing-Free Nonlinear Signal Processing Using Implicitly Defined Functions

open access: yesIEEE Access, 2022
Digital signal processing relies on the Nyquist-Shannon sampling theorem that applies to and requires a continuous signal with limited bandwidth. However, many systems or networks of signal processing involve nonlinear functions, which could generate new
Emmy S. Wei
doaj   +1 more source

On the support of the free additive convolution [PDF]

open access: yesJournal d'Analyse Mathématique, 2020
We consider the free additive convolution of two probability measures $μ$ and $ν$ on the real line and show that $μ\boxplusν$ is supported on a single interval if $μ$ and $ν$ each has single interval support. Moreover, the density of $μ\boxplusν$ is proven to vanish as a square root near the edges of its support if both $μ$ and $ν$ have power law ...
Bao, Zhigang   +2 more
openaire   +3 more sources

Organoids in pediatric cancer research

open access: yesFEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

The convolutional neural network as a tool to classify electroencephalography data resulting from the consumption of juice sweetened with caloric or non-caloric sweeteners

open access: yesFrontiers in Nutrition, 2022
Sweetener type can influence sensory properties and consumer’s acceptance and preference for low-calorie products. An ideal sweetener does not exist, and each sweetener must be used in situations to which it is best suited. Aspartame and sucralose can be
Gustavo Voltani von Atzingen   +5 more
doaj   +1 more source

Convolution operations arising from Vandermonde matrices

open access: yes, 2009
Different types of convolution operations involving large Vandermonde matrices are considered. The convolutions parallel those of large Gaussian matrices and additive and multiplicative free convolution.
Debbah, M., Ryan, Ø.
core   +1 more source

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