Large deviation bounds for matrix Brownian motion
By Philippe Biane, Mireille Capitaine, Alice Guionnet. 2003
80 citations recorded by the source corpus.
Subfields: Applied Mathematics, Mathematical Physics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/933dd12e69fa39bebbe87bc8e25d7eed90bb4986
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Applied Mathematics
In Mathematical Physics
- Yoann Dabrowski
- Roland Speicher
- Alain Connes
- D. Shlyakhtenko
- Sorin Popa
- Moritz Weber
- Marius Junge
- Sven Raum
In Statistics and Probability
- Roland Speicher
- Yoann Dabrowski
- Alain Connes
- D. Shlyakhtenko
- Moritz Weber
- Sven Raum
- Masoud Khalkhali
- Farzad Fathizadeh
Citations in the corpus
- Free Probability and Random Matrices (2014, background): “Though we do not know at the moment whether χ = χ∗ in general, we have at least one half of this by the following deep result of Biane, Capitaine, and Guionnet [38].”
- A free stochastic partial differential equation (2010, background): “,Xn), known by the fundamental work [2] to be greater than the previous microstate entropy, and believed to be equal (at least modulo Connes’ embedding conjecture).”
- L 2-homology for von Neumann algebras (2003, methodology): “This unexpected connection allows us to rely on several deep results in free probability theory, including the inequality between the microstates and microstates-free free entropy proved by recent fundamental work of Biane, Capitaine and Guionnet [BCG03].”