A place for majestic STEMLORD peacocking, as well as memes about the realities of working in a lab.
Rules
This is a science community. We use the Dawkins definition of meme.
Mathematician: this is category theory. No, it didn’t have anything to do with categorization, it just helps us understand how spaces can map to each other. Yeah I guess it’s kinda like graph theory or algebra, but not really. We made a category of graphs, and you can use the category of graphs to represent endofunctors on the category of categories.
-- It's about nothing.
-- No sets?
-- No, forget the sets.
-- You've got to have sets.
-- Who says you've got to have sets? Remember when we were talking about functions of functions? That could be a theory all by itself.
Ok but can I use a graphing calculator to graph those graphs?
Also no! The “graphing calculator” is an abomination that should be more rightly called a plotting calculator. But that’s what happens when you let engineers in Texas name something.
It's a strange feeling to think you understand what you are reading until you get to the end, but you have given me that feeling. I was like "yeah category that's a word I know. Let's math the hell out of some categories." Then I recognized other words you said, but by the time I was at the end of your post I wasn't sure if I understood anything.
I don't mind feeling dumb. Honestly it helps keep my narcissism in check. I like math because I don't understand all of it even though it should be logical.
If it helps, category theory is affectionately referred to by mathematicians as "generalized abstract nonsense".
It can be very confusing, but it's sort of a field of math that helps to relate ideas on one area to similar ones in another domain.
I've read a fair few unintuitive mathematical things, but category theory has so far been the worst. Some things are just plain unintuitive and don't catch your attention. Then there are things that are intuitive and really do reel you in. Finally there are things that seem intuitive but become so complex that your comprehension inverses: what you thought you knew feels wrong because of the new things you learned.
The latter has been my experience with category theory.
If only engineering documentation was as precise and comprehensive as this meme claims...
Yeah it's a managerial function involving skill and time and therefore money, but if it doesn't directly translate into profits for the corporation, then who has interest in that kind of investment these days?
Oh but don't worry, there's plenty of money to do it twice!
That's tomorrow's money though.
My engineering friends and me propose that physicists should be referred to as theoretical engineers.
I propose engineers not be allowed to name things. Not everything needs to be an "engineer"
We aren’t the ones who did that. You need to have taken statics and thermo otherwise you’re just a sparkling tradesperson
an enginear
Most mad scientists are actually mad engineers.
As someone with an engineering degree and a science degree, scientists are absolutely nothing like engineers.
They've got some things in common.
Technical aptitude. Complete unawareness, or purposeful neglect, of social norms. Science related dad jokes.
True, but I mainly mean in terms of their attitude towards research and their level of skepticism and critical thinking when presented with new information.
Engineers are always thinking in terms of "how can I make this work?" and scientists are trained to think in terms of "where does this theory/method break?"
This means that in general, engineers are far more likely to assume one positive result is significant, whereas scientists are far more likely to be looking at and poking holes in experiment methodology. This is a generalization, but in my experience, engineers are far more likely to fall for pseudoscience BS. Granted, my experience is mostly in chemistry and chemical engineering, but this idea in general has been a topic of discussion and research in peer-reviewed literature for years.
Doing research, I used to work with mathematicians, engineers AND physicists on a daily basis for years. Physicists were the least fun. Most of them seemed to think of themselves as a sort of Jesuits of Science. As in: "I just figured this out, and already it's set in stone, why do you even argue with me?" Mathematicians and engineers were a lot humbler, more down-to-earth. Also, some of them were astonishingly edgy in a very positive way.
I've heard applied mathematics used for us physicists but that one's new, nice
There are different kinds of physics researchers and it doesn't look like what physics lessons show in university, which is mostly theory. Most are not theoricians, they work on experiments and analyze results, they design and build instruments similarly to engineers. It seems the main difference is the kind of question they want to answer to: scientific question vs client need.
Tbf advancement in math usually means "random shit we're doing for the fun of it" and then 40 years later an actual application is discovered
It took centuries for people to realize number theory could be used for encryption
Wait are we supposed to be making super precise blueprints? They never build what I draw so I just give rough dimensions on a sketch and specify the important bits
I was gonna say...
I mean there’s not that much precision needed to pick out the toppings on a cheeseburger. You don’t need to specify the mass of the pickles man we do this all day.
Pure mathematician here - some of us argue "mathematics is a language", others of us argue "language gets in the way of mathematics".
The latter feels much more true; as a species we're absolutely awful when it comes to talking about abstract things. The thing is, those abstract things are often VERY interesting.
It's like making a map and being fascinated with the type of trees rather than the shape of the land, because the types of trees tell us about the climate, soil, and even history of the land.
I would say a important part of my job is to find the appropriate mathematical language to model computer programs. In my experience, using efficient language not only helps us discover more structures and connections between different kinds of program, but also leads to efficient and simplistic real-world implementations.
I would argue, from observing the development of this field, It seems like picking the right mathematical language is essential whether you are interested in theory or practicality.
I am not a mathematician, perhaps you can comment on this. From what I read, I feel like a good amount of the achievement for Grothendieck stems from finding the right language to describe the given problem. The result sometimes will follow like magic, once the correct language is discovered.
Oh man the university ptsd as an engineer. I once asked a physics prof at what width does the split slot experiment break down, she couldn't understand the question. All the other engineering students were nodding their heads in agreement with the question and tried to explain the question in a different way, still no idea what we were asking.
It's a good question, but asking it shows that the experiment was explained poorly.
The slits aren't the reason you see an interference pattern. The slits function as two lenses, similar to a pinhole camera. That's something that usually doesn't get explained very well, you can use all sorts of lenses for this, but slits are the most basic (and crucially, glass lenses would cause an interference pattern even if light weren't a wave).
The double slit experiment is basically "if light is a wave, a slit would behave like a lens, similar to a pinhole camera. If light is a particle, it will simply be a hole without any lensing. Two slits show multiple bars, due to interference from the lenses, which means light is a wave"
Which means this works at any scale. All you need is some light in the same frequency, and something to bend it. That can be two slits, some glass, or an entire galaxy.
There are local limits of course, where the effect still applies, but things become too blurry and diffuse to make out. But that's more of a limit to your sensor than the experiment.
What a great comment!
That's when considering the slits as a lens though, which they will act as at any diameter however there's going to be a width at which the angle of approach and wavelength of the light are insignificant enough that you practically can't tell that the slits were even there right?
Topology: no, a set being open doesn't imply that it is closed. What if it's both? We call it clopen. Moving on.
I like how a lot of mathematicians won't post their code because the pythonistas would destroy them.
Supersets and subsets are pretty simple, and I wish more people would use them when contextualizing human knowledge. (Especially supersets)
As one in engineering, I think our work is less about precision and more about solving (challenging) problems with what is needed and nothing more.
Anybody can build a deck that stands up, an engineer can build one that's just strong enough to stand up (for rated load haha)
Yeah, it's about applying physics to real world problems to come up with real world solutions.
Often in a more practical form because unlike in Physics, you can't start off with "assume zero gravity and a spherical cow shape"
I'm a phd chemist who does safety work for (mostly) engineers. I get a lot of "but you can do quantum physics, this should be easy".
I always reply that it's just basic maths, anyone who graduated highschool can "do" quantum physics. But I'm convinced all the people who say they can visualize whats going on are just liars. But then, that's also how I feel about FEM, so what do I know.
I don't know what high school you went to, but we sure as shit didn't cover stuff like partial differential equations and functional analysis.
"they have played us for fools"
So you’re telling me this subset is some kind of Santa’s boot in green?