Strong solutions to the stochastic quantization equations
By Giuseppe Da Prato, Arnaud Debussche. 2003
329 citations recorded by the source corpus.
Subfields: Applied Mathematics, Computational Theory and Mathematics, Finance
View Paper: https://www.semanticscholar.org/paper/ab55a064c7b051203faa9164fb2579823ee7a719
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
- Massimiliano Gubinelli
- Tadahiro Oh
- Herbert Koch
- Jean-Christophe Mourrat
- Hendrik Weber
- Martin Hairer
- K. Matetski
- Lucio Galeati
In Computational Theory and Mathematics
- Jean-Christophe Mourrat
- Massimiliano Gubinelli
- Hendrik Weber
- Herbert Koch
- Tadahiro Oh
- K. Matetski
- Martin Hairer
- Felix Otto
In Finance
- Massimiliano Gubinelli
- Hendrik Weber
- Jean-Christophe Mourrat
- Martin Hairer
- Herbert Koch
- Tadahiro Oh
- K. Matetski
- Rémi Catellier
Citations in the corpus
- Paracontrolled distributions and the 3-dimensional stochastic quantization equation (2013, background): “In [4] Da Prato and Debussche found a strong (in the probabilistic sense) formulation for the 2 dimensional problem.”
- A theory of regularity structures (2013, methodology): “in [34,69].”
- The Dynamic $${\Phi^4_3}$$Φ34 Model Comes Down from Infinity (2016, methodology): “For illustration, we briefly show this calculation in the two-dimensional case d = 2, sketching a method introduced by Da Prato and Debussche [7].”
- Paracontrolled approach to the three-dimensional stochastic nonlinear wave equation with quadratic nonlinearity (2018, methodology): “5) is usually referred to as the Da Prato–Debussche trick [22, 23].”
- Discretisations of rough stochastic PDEs (2015, methodology): “In two spatial dimensions, a solution theory for ( (4)3) was given in [1, 9]; see also [27] for earlier work on a closely related model.”