Mathematicians routinely treat different product constructions—like (𝐴×𝐵) × 𝐶 (A×B)×C and 𝐴× (𝐵×𝐶) A×(B×C)—as identical, even though they’re only isomorphic. This piece explores how universal properties, monoidal structures, and the pentagon axiom resolve these ambiguities, and why relying on “obvious” identifications can make foundational arguments incomplete.Mathematicians routinely treat different product constructions—like (𝐴×𝐵) × 𝐶 (A×B)×C and 𝐴× (𝐵×𝐶) A×(B×C)—as identical, even though they’re only isomorphic. This piece explores how universal properties, monoidal structures, and the pentagon axiom resolve these ambiguities, and why relying on “obvious” identifications can make foundational arguments incomplete.

Category Theory Explains a Common Oversight in Everyday Mathematics, Study Finds

2025/12/10 21:00

Abstract

  1. Acknowledgements & Introduction

2. Universal properties

3. Products in practice

4. Universal properties in algebraic geometry

5. The problem with Grothendieck’s use of equality.

6. More on “canonical” maps

7. Canonical isomorphisms in more advanced mathematics

8. Summary And References

Products in Practice

When a mathematician writes X × Y , what do they mean? Is it a product in the sense of the universal property, or is it the “special” one X × Y consisting of ordered pairs? One might imagine that, to fix our ideas, it’s easiest to just choose the special one. On the other hand, a mathematician would almost certainly agree with the following claim

R 2 × R = R × R 2 = R 3 ;

\ It is as clear as the claim that 2 + 1 = 1 + 2 = 3. However, it seems to be impossible to set up the foundations of mathematics in such a way that all of these sets are literally equal. Using the model of products in the previous section, a typical element of R 2 × R looks like ((a, b), c) and a typical element of R × R 2 looks like (a,(b, c)). These two constructions clearly carry the same data, and yet equally clearly they are not identical; they are both different models for R 3 , as is the model consisting of ordered triples (a, b, c) defined for example as functions {1, 2, 3} → R. In particular, sets equipped with the product do not strictly speaking form a monoid (because (A × B) × C = A × (B × C) is strictly speaking false).

\ However all three of R 2 × R, R × R 2 and R 3 satisfy the universal property for a product of three copies of R, meaning that there are unique isomorphisms between these constructions. The category theorists would tell us that the category of sets equipped with the product can be made into a monoidal category, which means that we can write down the extra data of a collection of isomorphisms iABC : (A × B) × C ∼= A × (B × C) satisfying an equation called the pentagon axiom [Wik04a], which says that the two resulting natural ways of identifying ((A × B) × C) × D with A × (B × (C × D)) are equal. Unsurprisingly, in this example, both of the natural identifications send (((a, b), c), d) to (a,(b,(c, d))).

\ It is axioms like the pentagon axiom – “higher compatibitilies” between identifications of objects which mathematicians are prone to regard as equal anyway – which are so easy to forget. Which of ((A×B)×C)×D and A×(B×(C ×D)) does a mathematician mean when they write A × B × C × D? If one (strictly speaking, incorrectly) decides that the sets ((A × B) × C) × D and A × (B × (C × D))) are equal it doesn’t matter! There is only one way in which two sets can be equal (in contrast to there being many ways of being isomorphic, in general), and if we think this way then we deduce the pentagon axiom no longer needs to be checked! It is phenomena like this which gives rise to arguments which are strictly speaking incomplete, throughout the literature. Note of course that in every case known to the author, these arguments can be filled in; however the Lean community has only just started on algebraic geometry, and it will be interesting to see what happens as we progress.

\ I have mentioned the real numbers already. They are unique up to unique isomorphism, and mathematicians do a very good job of sticking to the universal property and developing calculus using only the completeness property of the reals rather than relying on any kind of explicit set-theoretic definition. When it comes to products however, we don’t to this. Consider for example φ : R 2 → R defined by φ(x, y) = y 2 + xy − x.

\ Mathematicians would have no objection to that definition – however it assumes the ordered pair model for the reals: it is a function from the product rather than from a product. If (P, π1, π2) is a product then we can define φP on P by φP (t) = π2(t) 2 + π1(t)π2(t) − π1(t). This looks rather more ungainly than the definition of φ above so is typically avoided. However, if one wants to identify sets like (A × B) × C and A × (B × C) on the basis that there is a unique isomorphism between them satisfying various basic properties, then one is strictly speaking forced to develop a theory of products of sets using only the universal property.

\

:::info Author: KEVIN BUZZARD

:::

:::info This paper is available on arxiv under CC BY 4.0 DEED license.

:::

\

Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact service@support.mexc.com for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

Aave DAO to Shut Down 50% of L2s While Doubling Down on GHO

Aave DAO to Shut Down 50% of L2s While Doubling Down on GHO

The post Aave DAO to Shut Down 50% of L2s While Doubling Down on GHO appeared on BitcoinEthereumNews.com. Aave DAO is gearing up for a significant overhaul by shutting down over 50% of underperforming L2 instances. It is also restructuring its governance framework and deploying over $100 million to boost GHO. This could be a pivotal moment that propels Aave back to the forefront of on-chain lending or sparks unprecedented controversy within the DeFi community. Sponsored Sponsored ACI Proposes Shutting Down 50% of L2s The “State of the Union” report by the Aave Chan Initiative (ACI) paints a candid picture. After a turbulent period in the DeFi market and internal challenges, Aave (AAVE) now leads in key metrics: TVL, revenue, market share, and borrowing volume. Aave’s annual revenue of $130 million surpasses the combined cash reserves of its competitors. Tokenomics improvements and the AAVE token buyback program have also contributed to the ecosystem’s growth. Aave global metrics. Source: Aave However, the ACI’s report also highlights several pain points. First, regarding the Layer-2 (L2) strategy. While Aave’s L2 strategy was once a key driver of success, it is no longer fit for purpose. Over half of Aave’s instances on L2s and alt-L1s are not economically viable. Based on year-to-date data, over 86.6% of Aave’s revenue comes from the mainnet, indicating that everything else is a side quest. On this basis, ACI proposes closing underperforming networks. The DAO should invest in key networks with significant differentiators. Second, ACI is pushing for a complete overhaul of the “friendly fork” framework, as most have been unimpressive regarding TVL and revenue. In some cases, attackers have exploited them to Aave’s detriment, as seen with Spark. Sponsored Sponsored “The friendly fork model had a good intention but bad execution where the DAO was too friendly towards these forks, allowing the DAO only little upside,” the report states. Third, the instance model, once a smart…
Share
BitcoinEthereumNews2025/09/18 02:28