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Geometry and Topology Weekly Seminar
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سمینار هفتگی هندسه و توپولوژی
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TITLE
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Invariant graphs and multidimensional porcupine attractors
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SPEAKER
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Marzieh Zaj
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Ferdowsi University
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TIME
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Thursday, July 1, 2021,
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17:00 - 19:00
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VENUE |
Online: meet.google.com/qix-iqiy-txt
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SUMMARY |
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We study attracting invariant graphs and attracting multi-graphs for skew product systems. First, we focus on skew product systems driven by a baker map having an
n-dimensional closed ball $B_n \subseteq \mathbb{R}^n$ as the fiber and investigate the geometrical structures of
invariant graphs and multi-graphs for these systems. We introduce an n-porcupine attractor which is a generalization of porcupine horseshoes discovered by Diaz and Gelfert. We
construct an open set in the space of all such skew products such that any skew product
belonging to this set admits a non-uniformly hyperbolic maximal attractor. Morover this
attractor either is an n-porcupine attractor or an attracting continuous invariant graph.
Then, we provide some related results on the ergodic properties of attracting graphs and investigate stability results for such graphs under deterministic perturbations. In our context
the rates of contraction are non-uniform thus we have non-uniformly hyperbolic attractors
that are the support of ergodic SRB measures. Additionally, we prove that the SRB measure
varies continuously with the skew product in the Hutchinson metric. Furthermore, we construct robust attracting multi-graphs or porcupine multi-graphs for skew products driven by
a baker map. Finally, for a certain class of skew products driven by expanding circle maps
we show that the following dichotomy is ascertained: the non-uniformly maximal attractor
is either a massive attractor or a thick attractor.
[IPM Youth Seminars on Topology and Dynamics]
Venue: meet.google.com/qix-iqiy-txt
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تهران، ضلع جنوبی
ميدان شهيد باهنر (نياوران)، پژوهشگاه
دانشهای بنيادی، پژوهشکده رياضيات
School of
Mathematics, Institute for Research in
Fundamental Sciences (IPM), Niavaran
Bldg., Niavaran Square, Tehran
ipmmath@ipm.ir
♦ +98 21
22290928 ♦
math.ipm.ir |
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