2010
DOI: 10.1017/cbo9780511933912
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Dimensions, Embeddings, and Attractors

Abstract: This accessible research monograph investigates how 'finite-dimensional' sets can be embedded into finite-dimensional Euclidean spaces. The first part brings together a number of abstract embedding results, and provides a unified treatment of four definitions of dimension that arise in disparate fields: Lebesgue covering dimension (from classical 'dimension theory'), Hausdorff dimension (from geometric measure theory), upper box-counting dimension (from dynamical systems), and Assouad dimension (from the theor… Show more

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Cited by 108 publications
(201 citation statements)
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“…Note that our argument implies that if we approach a bifurcation point λ = n 2 , n ∈ N, our estimate on the fractal dimension of the attractor A λ explodes, since the rate of exponential attraction ω approaches to zero (see [20] where it is proved that this attraction is in fact polynomial). However, we know that the fractal dimension of the above Chafee-Infante equation is finite and of order √ λ for all values of λ ≥ λ 1 (the first eigenvalue of the Laplacian operator) (see, for instance, [36,33] the exponential attraction to hyperbolic equilibria. Moreover, for any sequence {λ n : n ∈ N} such that λ n is away from the endpoints of the interval (n 2 , (n + 1) 2 ), uniformly for n ∈ N, our estimate is of order √ λ n .…”
Section: Also With the Reversed Hypothesesmentioning
confidence: 99%
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“…Note that our argument implies that if we approach a bifurcation point λ = n 2 , n ∈ N, our estimate on the fractal dimension of the attractor A λ explodes, since the rate of exponential attraction ω approaches to zero (see [20] where it is proved that this attraction is in fact polynomial). However, we know that the fractal dimension of the above Chafee-Infante equation is finite and of order √ λ for all values of λ ≥ λ 1 (the first eigenvalue of the Laplacian operator) (see, for instance, [36,33] the exponential attraction to hyperbolic equilibria. Moreover, for any sequence {λ n : n ∈ N} such that λ n is away from the endpoints of the interval (n 2 , (n + 1) 2 ), uniformly for n ∈ N, our estimate is of order √ λ n .…”
Section: Also With the Reversed Hypothesesmentioning
confidence: 99%
“…In this case, the topological dimension dim T (K) of K is the minimum d with this property. With this notion, a subset of R n with non-empty interior has topological dimension n and, if K is a compact metric space with topological dimension dim T (K) < ∞, then it is homeomorphic to a subset of R n with n = 2dim T (K) + 1 (see [27], [33]). …”
Section: Introductionmentioning
confidence: 99%
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“…Before we proceed, let us briefly recall the definitions of with n = 2dim T (K ) + 1 (see [33], [41]). For a more detailed discussion, the reader can see [6].…”
Section: An Estimate On the Fractal Dimensionmentioning
confidence: 99%
“…Then one might ask why to study the fractal dimension, since it is the worst estimate for the dimensions of the same compact set K , and one particular result that makes the fractal dimension a very interesting object of research is the following result (see [31] The inverse of the projection restricted to K is continuous. In fact, in some situations, this inverse is Hölder continuous (see [20,41]). Another aspect is that the fractal dimension computation is fairly easy when we compare it with the computation of the Hausdorff and topological dimensions.…”
Section: Introductionmentioning
confidence: 99%