Entropy and Diversity: The Axiomatic Approach
December 03, 2020 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Tom Leinster
arXiv ID
2012.02113
Category
q-bio.PE
Cross-listed
cs.IT,
math.CA,
math.CT,
q-bio.QM
Citations
88
Venue
arXiv.org
Last Checked
3 months ago
Abstract
This book brings new mathematical rigour to the ongoing vigorous debate on how to quantify biological diversity. The question "what is diversity?" has surprising mathematical depth, and breadth too: this book involves parts of mathematics ranging from information theory, functional equations and probability theory to category theory, geometric measure theory and number theory. It applies the power of the axiomatic method to a biological problem of pressing concern, but the new concepts and theorems are also motivated from a purely mathematical perspective. The main narrative thread requires no more than an undergraduate course in analysis. No familiarity with entropy or diversity is assumed.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β q-bio.PE
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
Simulating COVID-19 in a University Environment
R.I.P.
π»
Ghosted
How morphological development can guide evolution
R.I.P.
π»
Ghosted
Evolutionary forces in language change
R.I.P.
π»
Ghosted
The evolution of conditional moral assessment in indirect reciprocity
R.I.P.
π»
Ghosted
Causal Inference in Disease Spread across a Heterogeneous Social System
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted