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November 2013 Complexity of random smooth functions on the high-dimensional sphere
Antonio Auffinger, Gerard Ben Arous
Ann. Probab. 41(6): 4214-4247 (November 2013). DOI: 10.1214/13-AOP862


We analyze the landscape of general smooth Gaussian functions on the sphere in dimension $N$, when $N$ is large. We give an explicit formula for the asymptotic complexity of the mean number of critical points of finite and diverging index at any level of energy and for the mean Euler characteristic of level sets. We then find two possible scenarios for the bottom landscape, one that has a layered structure of critical values and a strong correlation between indexes and critical values and another where even at levels below the limiting ground state energy the mean number of local minima is exponentially large. We end the paper by discussing how these results can be interpreted in the language of spin glasses models.


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Antonio Auffinger. Gerard Ben Arous. "Complexity of random smooth functions on the high-dimensional sphere." Ann. Probab. 41 (6) 4214 - 4247, November 2013.


Published: November 2013
First available in Project Euclid: 20 November 2013

zbMATH: 1288.15045
MathSciNet: MR3161473
Digital Object Identifier: 10.1214/13-AOP862

Primary: 15A52 , 60G60 , 82D30

Keywords: critical points , Parisi formula , random matrices , Sample , Spin glasses

Rights: Copyright © 2013 Institute of Mathematical Statistics

Vol.41 • No. 6 • November 2013
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