scholarly journals On the variance of the nodal volume of arithmetic random waves

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Giacomo Cherubini ◽  
Niko Laaksonen

Abstract Rudnick and Wigman (2008) conjectured that the variance of the volume of the nodal set of arithmetic random waves on the d-dimensional torus is O ⁢ ( E / 𝒩 ) {O(E/\mathcal{N})} , as E → ∞ {E\to\infty} , where E is the energy and 𝒩 {\mathcal{N}} is the dimension of the eigenspace corresponding to E. Previous results have established this with stronger asymptotics when d = 2 {d=2} and d = 3 {d=3} . In this brief note we prove an upper bound of the form O ⁢ ( E / 𝒩 1 + α ⁢ ( d ) - ϵ ) {O(E/\mathcal{N}^{1+\alpha(d)-\epsilon})} , for any ϵ > 0 {\epsilon>0} and d ≥ 4 {d\geq 4} , where α ⁢ ( d ) {\alpha(d)} is positive and tends to zero with d. The power saving is the best possible with the current method (up to ϵ) when d ≥ 5 {d\geq 5} due to the proof of the ℓ 2 {\ell^{2}} -decoupling conjecture by Bourgain and Demeter.

2020 ◽  
Vol 376 (2) ◽  
pp. 1261-1310 ◽  
Author(s):  
Valentina Cammarota ◽  
Oleksiy Klurman ◽  
Igor Wigman

2016 ◽  
Vol 26 (3) ◽  
pp. 926-960 ◽  
Author(s):  
Domenico Marinucci ◽  
Giovanni Peccati ◽  
Maurizia Rossi ◽  
Igor Wigman

Nonlinearity ◽  
2018 ◽  
Vol 31 (10) ◽  
pp. 4472-4516 ◽  
Author(s):  
Maurizia Rossi ◽  
Igor Wigman

2013 ◽  
Vol 177 (2) ◽  
pp. 699-737 ◽  
Author(s):  
Manjunath Krishnapur ◽  
Pär Kurlberg ◽  
Igor Wigman

2012 ◽  
Vol 134 (3) ◽  
Author(s):  
Shinsuke Sakai ◽  
Satoshi Okajima ◽  
Satoshi Izumi ◽  
Naoto Kasahara

This paper shows a new design approach for random fatigue evaluation based on spectral characteristics. Fatigue damage under random loading is usually evaluated by first, decomposing random waves to stress amplitudes using the rainflow-cycle counting (RFC) method; then, evaluating fatigue damage using Palmgren–Miner’s linear summation rule. In the design process, the fluctuation of load is usually characterized through power spectral density (PSD). Therefore, the design process is expected to be generalized, if the fatigue damage is directly evaluated from the PSD together with the S-N diagram of the material. In fact, many properties related to fatigue damage, such as distribution of extreme values, can be derived theoretically from the geometrical properties of PSD. However, it is rather difficult to derive the distribution of stress amplitude counted by RFC theoretically due to its complicated procedure. In this paper, the upper bound of stress amplitude distribution is confirmed for many random waves generated by numerical simulation for many types of PSDs. Expressing the upper-bound distribution by a closed form function using PSD characteristics leads us to the direct evaluation of fatigue damage with a safety margin if the fatigue damage by a particular stress amplitude is approximated using a series expansion form. A simple procedure for approximating high-cycle fatigue damage for austenitic stainless steel and ferritic steel is proposed in this paper. Finally, a design evaluation procedure based on the fatigue-damage evaluation from PSD together with an S-N diagram is summarized.


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