This body of work is based upon the following three papers that the author wrote during his PhD with Jonathan Fraser and Han Yu: [FH20, HY17, How19]. Chapter 1 starts by introducing many of the common tools and notation that will be used throughout this thesis. This will cover the main notions of dimensions discussed from both the set and the measure perspectives. An emphasis will be placed on their relationships where possible. This will provide a solid base upon which to expand. Many of the standard results in this part can be found in fractal geometry textbooks such as [Fal03, Mat95] if further reading was desired. The first results discussed in Chapter 2 will cover some of the regularity dimensions’ properties such as general bo...
AbstractGiven a positive probability Borel measure μ on R, we establish some basic properties of the...
This thesis is based on three papers the author wrote during his time as a PhD student [28, 17, 33]...
Various tools can be used to calculate or estimate the dimension of measures. Using a probabilistic ...
We study the upper regularity dimension which describes the extremal local scaling behaviour of a me...
We study the upper regularity dimension which describes the extremal local scaling behaviour of a me...
This thesis is structured as follows. Chapter 1 introduces fractal sets before recalling basic math...
We show that if X is a uniformly perfect complete metric space satisfying the finite doubling proper...
We show that if the upper Assouad dimension of the compact set E ⊆ R is positive, then given any D >...
The Assouad and lower dimensions and dimension spectra quantify the regularity of a measure by consi...
Funding: Leverhulme Trust Research Fellowship (RF-2016-500) (JMF).We introduce a new dimension spect...
We investigate the dimension and structure of four fractal families: inhomogeneous attractors, fract...
The $\phi$-Assouad dimensions are a family of dimensions which interpolate between the upper box and...
The L-q dimensions, for 1 <q <infinity, quantify the degree of smoothness of a measure. We study the...
The authors were financially supported by an LMS Scheme 4 Research in Pairs grant. The second author...
We prove preservation of L q dimensions (for 1 < q ≤ 2) under all orthogonal projections for a class...
AbstractGiven a positive probability Borel measure μ on R, we establish some basic properties of the...
This thesis is based on three papers the author wrote during his time as a PhD student [28, 17, 33]...
Various tools can be used to calculate or estimate the dimension of measures. Using a probabilistic ...
We study the upper regularity dimension which describes the extremal local scaling behaviour of a me...
We study the upper regularity dimension which describes the extremal local scaling behaviour of a me...
This thesis is structured as follows. Chapter 1 introduces fractal sets before recalling basic math...
We show that if X is a uniformly perfect complete metric space satisfying the finite doubling proper...
We show that if the upper Assouad dimension of the compact set E ⊆ R is positive, then given any D >...
The Assouad and lower dimensions and dimension spectra quantify the regularity of a measure by consi...
Funding: Leverhulme Trust Research Fellowship (RF-2016-500) (JMF).We introduce a new dimension spect...
We investigate the dimension and structure of four fractal families: inhomogeneous attractors, fract...
The $\phi$-Assouad dimensions are a family of dimensions which interpolate between the upper box and...
The L-q dimensions, for 1 <q <infinity, quantify the degree of smoothness of a measure. We study the...
The authors were financially supported by an LMS Scheme 4 Research in Pairs grant. The second author...
We prove preservation of L q dimensions (for 1 < q ≤ 2) under all orthogonal projections for a class...
AbstractGiven a positive probability Borel measure μ on R, we establish some basic properties of the...
This thesis is based on three papers the author wrote during his time as a PhD student [28, 17, 33]...
Various tools can be used to calculate or estimate the dimension of measures. Using a probabilistic ...