Abstract
We provide some lower bounds on the deficit in the Gaussian logarithmic Sobolev inequality in terms of the so-called Stein characterization of the Gaussian distribution. The techniques are based on the representation of the relative Fisher information along the Ornstein-Uhlenbeck semigroup by the Minimum Mean-Square Error from information theory.
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Acknowledgements
This work was partially supported by Grants Nos. F1R-MTH-PUL-15CONF and F1R-MTH-PUL-15STAR at Luxembourg University.
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Ledoux, M., Nourdin, I. & Peccati, G. A Stein deficit for the logarithmic Sobolev inequality. Sci. China Math. 60, 1163–1180 (2017). https://doi.org/10.1007/s11425-016-0134-7
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DOI: https://doi.org/10.1007/s11425-016-0134-7
Keywords
- deficit
- logarithmic Sobolev inequality
- Ornstein-Uhlenbeck semigroup
- minimum mean-square error
- Stein kernel