Abstract
This chapter completes the program put forward in Sects. 6.3–6.5, in the general exponent case \(1<p<\inf \). This is accomplished by means of another version of Tug-of-War game, where the random sampling takes place on ellipsoids with radius and aspect ratio depending on p and the dimension of the problem N. The following topics are covered: the averaging principle and the dynamic programming principle for the ellipsoid-distributed noise, the mixed Tug-of-War and two sufficient conditions for game-regularity: the exterior corkscrew condition and the simply connectedness in dimension N = 2.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
A. Arroyo, J. Heino, and M. Parviainen. Tug-of-war games with varying probabilities and the normalized p(x)-Laplacian. Commun. Pure Appl. Anal., 16(3): 915–944, 2017.
A. Arroyo, H. Luiro, M. Parviainen, and Ruosteenoja. Asymptotic lipschitz regularity for tug-of-war games with varying probabilities. 2018.
H. Hartikainen. A dynamic programming principle with continuous solutions related to the p-Laplacian, 1 < p < ∞. Differential Integral Equations, 29(5–6): 583–600, 2016.
M. Lewicka. Random tug of war games for the p-Laplacian, 1 < p < ∞. 2018.
Y. Peres and S. Sheffield. Tug-of-war with noise: a game-theoretic view of the p-Laplacian. Duke Math J., 145: 91–120, 2008.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Lewicka, M. (2020). Mixed Tug-of-War with Noise: Case p ∈ (1, ∞). In: A Course on Tug-of-War Games with Random Noise. Universitext. Springer, Cham. https://doi.org/10.1007/978-3-030-46209-3_6
Download citation
DOI: https://doi.org/10.1007/978-3-030-46209-3_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-46208-6
Online ISBN: 978-3-030-46209-3
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)