Timeline for Is it improper to define matrices as being $n \times m$ rather than $m \times n$?
Current License: CC BY-SA 4.0
8 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Sep 17, 2021 at 0:21 | comment | added | Terry Tao | As an example of a field-specific convention: in statistics the dimensions of a design matrix are traditionally referred to as $n \times p$, with $n$ the number of measurements and $p$ the number of parameters (variables): en.wikipedia.org/wiki/Design_matrix | |
| Sep 16, 2021 at 19:52 | history | made wiki | Post Made Community Wiki by Stefan Kohl♦ | ||
| Sep 16, 2021 at 19:16 | comment | added | Pace Nielsen | @Powerspawn It can really depend on a few factors, such as what is common in your field of study, etc... I'd recommend talking to your adviser. | |
| Sep 16, 2021 at 19:10 | comment | added | Powerspawn | I also have defined vector spaces $U, V, W$ of dimensions $n,m,q$ respectively to define an $n \times m \times q$ tensor in $U \otimes V \otimes W$. Although tensors can also be interpreted as linear operators, it seems like this notation may be less acceptable. Would you agree? | |
| Sep 16, 2021 at 18:08 | comment | added | Pace Nielsen | Nah. $i$ is a perfectly good natural number. :-p | |
| Sep 16, 2021 at 17:58 | comment | added | Emil Jeřábek | Yes. But when it comes to variables for natural numbers, $n$ is the first letter of the alphabet. | |
| Sep 16, 2021 at 17:29 | vote | accept | Powerspawn | ||
| Sep 16, 2021 at 17:16 | history | answered | Pace Nielsen | CC BY-SA 4.0 |