Spectral Asymptotics for Stable Trees
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1. | Title | Title of document | Spectral Asymptotics for Stable Trees |
2. | Creator | Author's name, affiliation, country | David A Croydon; University of Warwick; United Kingdom |
2. | Creator | Author's name, affiliation, country | Benjamin M Hambly; University of Oxford; United Kingdom |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | stable tree; self-similar decomposition; spectral asymptotics; heat kernel |
3. | Subject | Subject classification | 35P20; 28A80; 58G25; 60J35; 60J80 |
4. | Description | Abstract | We calculate the mean and almost-sure leading order behaviour of the high frequency asymptotics of the eigenvalue counting function associated with the natural Dirichlet form on $\alpha$-stable trees, which lead in turn to short-time heat kernel asymptotics for these random structures. In particular, the conclusions we obtain demonstrate that the spectral dimension of an $\alpha$-stable tree is almost-surely equal to $2\alpha/(2\alpha-1)$, matching that of certain related discrete models. We also show that the exponent for the second term in the asymptotic expansion of the eigenvalue counting function is no greater than $1/(2\alpha-1)$. To prove our results, we adapt a self-similar fractal argument previously applied to the continuum random tree, replacing the decomposition of the continuum tree at the branch point of three suitably chosen vertices with a recently developed spinal decomposition for $\alpha$-stable trees |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 2010-11-14 |
8. | Type | Status & genre | Peer-reviewed Article |
8. | Type | Type | |
9. | Format | File format | |
10. | Identifier | Uniform Resource Identifier | http://ejp.ejpecp.org/article/view/819 |
10. | Identifier | Digital Object Identifier | 10.1214/EJP.v15-819 |
11. | Source | Journal/conference title; vol., no. (year) | Electronic Journal of Probability; Vol 15 |
12. | Language | English=en | |
14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
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