What is good mathematics
By Terence Tao. 2007
78 citations recorded by the source corpus.
(i) Good mathematical problem-solving (e.g. a major breakthrough on an important mathematical problem); (ii) Good mathematical technique (e.g. a masterful use of existing methods, or the development of new tools); (iii) Good mathematical theory (e.g. a conceptual framework or choice of notation which systematically unifies and generalises an existing body of results); (iv) Good mathematical insight (e.g. a major conceptual simplification, or the realisation of a unifying principle, heuristic, analogy, or theme); (v) Good mathematical discovery (e.g. the revelation of an unexpected and intriguing new mathematical phenomenon, connection, or counterexample); (vi) Good mathematical application (e.g. to important problems in physics, engineering, computer science, statistics, etc., or from one field of mathematics to another); (vii) Good mathematical exposition (e.g. a detailed and informative survey on a timely mathematical topic, or a clear and well-motivated argument); (viii) Good mathematical pedagogy (e.g. a lecture or writing style which enables others to learn and do mathematics more effectively); (ix) Good mathematical vision (e.g. a long-range and fruitful program or set of conjectures); (x) Good mathematical taste (e.g. a research goal which is inherently interesting and impacts important topics, themes, or questions); (xi) Good mathematical public relations (e.g. an effective showcasing of a mathematical achievement to non-mathematicians, or from one field of mathematics to another); (xii) Good meta-mathematics (e.g. advances in the foundations, philosophy, history, or practice of mathematics); (xiii) Rigorous mathematics (with all details correctly and carefully given in full, etc.); (xiv) Beautiful mathematics (e.g. the amazing identities of Ramanujan; results which are easy (and pretty) to state but not to prove); (xv) Elegant mathematics (e.g. Paul Erdős’ concept of “proofs from the Book”; achieving a difficult result with a minimum of effort);
Subfields: Discrete Mathematics and Combinatorics, Electrical and Electronic Engineering, Geometry and Topology
View Paper: https://www.semanticscholar.org/paper/17c366f4554e519b03235adcfa86c07eb4fde47b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Discrete Mathematics and Combinatorics
In Electrical and Electronic Engineering
In Geometry and Topology
- Matthew Inglis
- Juan Pablo Mejía-Ramos
- Keith Weber
- Andrew Aberdein
- Francesca Morselli
- Fulvia Furinghetti
Citations in the corpus
- Beauty Is Not Simplicity: An Analysis of Mathematicians' Proof Appraisals (2015, methodology): “Using Tao’s (2007) list of mathematical qualities as a starting point, we formed a list of 80 adjectives that we conjectured may be used by mathematicians to describe the traits of mathematical proofs.”
- How Mathematicians Obtain Conviction: Implications for Mathematics Instruction and Research on Epistemic Cognition (2014, background): “Although there are a large number of distinguishable aims in mathematics, (Aberdein, 2006; Tao, 2007; see also Rav, 1999; Steiner, 1978), in this article we focus on four relatively straightforward epistemic aims: (a) convincing themselves that a mathematical assertion is true, (b) forming a deducti”