DOI: 10.31274/etd-20210114-63
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Chemical reaction networks: Computability, complexity, and randomness

Abstract: Their friendship made the journey full of joy. Adam introduced me effective dimension and mutual dimension when I first entered LAMP and knew nothing about these topics. Don and I published our first paper together. I will miss the days we spent in front of the chalk boards discussing Math. Titus talked to me about Chemical Reaction Networks (CRNs) even before I entered LAMP. I learned a lot of tricks on constructing CRNs from him. The workflow and software tools he introduced to me made me much more efficient… Show more

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Cited by 1 publication
(2 citation statements)
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“…The main body of Chapters 3-6 is taken from the publications below, and from unpublished work (the results of Chapter 5 are unpublished joint work with Xiang Huang, Jack H. Lutz, Neil Lutz, and Elvira Mayordomo, and I am solely responsible for any mistakes that appear in this dissertation. Chapter 4 reviews some of the results of Algorithmic Randomness in Continuous Time Markov Chains, which appear in Huang et al (2019) and in Xiang Huang's dissertation Huang (2020). Chapter 4 includes a simplified proof of one of these results contained in the journal version.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The main body of Chapters 3-6 is taken from the publications below, and from unpublished work (the results of Chapter 5 are unpublished joint work with Xiang Huang, Jack H. Lutz, Neil Lutz, and Elvira Mayordomo, and I am solely responsible for any mistakes that appear in this dissertation. Chapter 4 reviews some of the results of Algorithmic Randomness in Continuous Time Markov Chains, which appear in Huang et al (2019) and in Xiang Huang's dissertation Huang (2020). Chapter 4 includes a simplified proof of one of these results contained in the journal version.…”
Section: Methodsmentioning
confidence: 99%
“…We will see that randomness can also be formulated for SCRNs (in terms of the more general continuous-time Markov chains discussed in the next section) and used to reason about the inherent complexity of particular trajectories of such systems. Much of the basis of this work has already been discussed in Huang (2020). We will review some of these definitions and notions as a foundation for the next chapter's discussion of the randomness properties of sojourn time sequences.…”
Section: Stochastic Chemical Reaction Networkmentioning
confidence: 99%