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Small deviations for fractional stable processes. / Lifshits, Mikhail; Simon, Thomas.
In: Annales de l'institut Henri Poincare (B) Probability and Statistics, Vol. 41, No. 4, 01.07.2005, p. 725-752.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Small deviations for fractional stable processes
AU - Lifshits, Mikhail
AU - Simon, Thomas
PY - 2005/7/1
Y1 - 2005/7/1
N2 - Let {Rt, 0 ≤ t ≤ 1} be a symmetric α-stable Riemann-Liouville process with Hurst parameter H > 0. Consider a translation invariant, β-self-similar, and p-pseudo-additive functional semi-norm ∥·∥. We show that if H > β + 1/p and γ = (H - β - 1/p)-1, then lim ε↓0 εγ log ℙ[∥ R ∥ ≤ ε] = -K ∈ [-∞, 0), with K finite in the Gaussian case α = 2. If α < 2, we prove that K is finite when R is continuous and H > β + 1/p + 1/α. We also show that under the above assumptions, lim ε↓0 εγ log ℙ[∥ X ∥ ≤ ε] = -K ∈ (-∞, 0), where X is the linear & alpha;-stable fractional motion with Hurst parameter H ∈ (0, 1) (if α = 2, then X is the classical fractional Brownian motion). These general results cover many cases previously studied in the literature, and also prove the existence of new small deviation constants, both in Gaussian and non-Gaussian frameworks.
AB - Let {Rt, 0 ≤ t ≤ 1} be a symmetric α-stable Riemann-Liouville process with Hurst parameter H > 0. Consider a translation invariant, β-self-similar, and p-pseudo-additive functional semi-norm ∥·∥. We show that if H > β + 1/p and γ = (H - β - 1/p)-1, then lim ε↓0 εγ log ℙ[∥ R ∥ ≤ ε] = -K ∈ [-∞, 0), with K finite in the Gaussian case α = 2. If α < 2, we prove that K is finite when R is continuous and H > β + 1/p + 1/α. We also show that under the above assumptions, lim ε↓0 εγ log ℙ[∥ X ∥ ≤ ε] = -K ∈ (-∞, 0), where X is the linear & alpha;-stable fractional motion with Hurst parameter H ∈ (0, 1) (if α = 2, then X is the classical fractional Brownian motion). These general results cover many cases previously studied in the literature, and also prove the existence of new small deviation constants, both in Gaussian and non-Gaussian frameworks.
KW - Fractional Brownian motion
KW - Gaussian process
KW - Linear fractional stable motion
KW - Riemann-Liouville process
KW - Small ball constants
KW - Small ball probabilities
KW - Small deviations
KW - Stable process
KW - Wavelets
UR - http://www.scopus.com/inward/record.url?scp=19344365741&partnerID=8YFLogxK
U2 - 10.1016/j.anihpb.2004.05.004
DO - 10.1016/j.anihpb.2004.05.004
M3 - Article
AN - SCOPUS:19344365741
VL - 41
SP - 725
EP - 752
JO - Annales de l'institut Henri Poincare (B) Probability and Statistics
JF - Annales de l'institut Henri Poincare (B) Probability and Statistics
SN - 0246-0203
IS - 4
ER -
ID: 37010459