Symmetry classification of scalar Ito equations with multiplicative noise

@article{Gaeta2020SymmetryCO,
  title={Symmetry classification of scalar Ito equations with multiplicative noise},
  author={Giuseppe Gaeta and Francesco Spadaro},
  journal={Journal of Nonlinear Mathematical Physics},
  year={2020},
  volume={27},
  pages={679 - 687}
}
We provide a symmetry classification of scalar stochastic equations with multiplicative noise. These equations can be integrated by means of the Kozlov procedure, by passing to symmetry adapted variables. 
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TLDR
This work provides a classification of scalar autonomous Ito stochastic dif-ferential equations with simple noise possessing symmetries, and extends previous classi fications in that it also considers recently introduced types of symmetry, in particular standard random symmetry, not considered in those.
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