Is Math Real?
maa.org
maa.org
I havent read the book but this dichotomy is not an intrinsic feature of how people pursued mathematics historically.
The "stiffness" and excess focus on rigor and accuracy developed gradually over the 19th century because people were being loose canons - primarily around calculus.
That's probably okay if we view mathematics in the way this book (I have not read it, going based on the description here) advocates, as a sort of toy for playing with arguments. And I'm certainly not saying Math should ever be viewed as an empirical discipline nor constrained by that kind of thinking. But I don't think I'm the only one that takes one look at things in the realm of say higher category theory and thinks it's mostly playing word and symbol manipulation games, and lacks any real mathematical content that could not be discovered at a lower and more understandable (and less likely to produce new research) level of abstraction.
I guess I've sort of betrayed that I am pretty firmly a platonist in that respect so make of that what you will.
Like I said, this is not an unusual opinion for a computer person to have and I'm sure it's fairly annoying to any pure mathematician at this point. But I think it's still fair if we want to understand what turns certain people off of pursuing mathematics further.
https://en.wikipedia.org/wiki/Italian_school_of_algebraic_ge...
TL;DR: They started producing false results.
Note that this was not about capital-F Foundations of Mathematics like (arguably) the foundational crisis of math that had its origins in the 19th century, but rather about lowercase-f foundations of a particular field, in this case algebraic geometry.
Weil's foundations of AG in the eponymous 1946 book were horrible and messy but they solved the issue (even today there are a lot of celebrated results that can only be found as expressed in Weil's language) and later in the 1960s Grothendieck provided the elegant language of schemes in which people generally learn and research AG today, and which helped prove long-standing problems like the Weil conjectures and (to some degree) FLT. Category theory was, in this case, essential to proving theorems about "real mathematical content" like numbers and points.
I also believe that the emphasis on "rigor" here is misplaced. The argument isn't about whether mathematical rules are rigorous or not. The argument is about whether mathematics exists independent of mathematicians (and they discover it in a way how an astronomer peers into telescope and discovers new stars) vs mathematics being created by mathematicians' minds (similar to how an architect designs a building: there weren't one before, and now there's a concept of a new building with so many walls, floors, windows etc.)
I believe that mathematics is art, not science. I.e. mathematicians create new rules, they don't discover them. The whole argument to support this point would be too long to write it in a single post, but the general idea is that mathematics is a system that can easily describe counterfactual worlds. We use it to also describe our physical world because, of course, it can do that. But then asking the question about the "surprising effectiveness" is moot: we deliberately made it to be as effective as possible, so how is it so surprising that it is?
The "surprising effectiveness" is, I think, one of three things. First, the surprise is that we can create mathematics that describes our physical world.
The second surprise is that, when we find out something new, it often takes the form of existing mathematics that we didn't design to describe the physical world. (Though, from your point of view, I suppose you could say that we created mathematics to describe everything that could be described by mathematics, and so it's not surprising that something was there to describe reality.)
The third surprise (maybe this is just a restatement of the first one) is that mathematics really describes the physical world. It's not that we find some math that describes it, and then we change the situation a little bit and we need to find some new math. The surprise is that the math describes what is going on so well that it applies to situations that we didn't know about when we devised the math that applied. That is, it's predictive, not just descriptive.
Similarly, if mathematics is so powerful as to be able to describe any physical reality, it shouldn't be surprising that it can describe ours, no matter how complex and detailed.
I don't see the reason to think that coincidentally arrived at ideas mean that ideas are discovered. We use the same framework, with the same rules. It's not unlikely that we'll create same ideas, because we use all the same rules, but the framework is so vast... it has so many rule combinations it's mind-boggling how would you think all ideas already exist in this framework.
More practically, we call an action a "discovery" when we (unbeknownst to us) faced the consequences of the phenomenon being discovered, but didn't know why we were facing them. An astronomer who finds a "new" star was ever so slightly influenced by that star's light, gravity etc. A marine biologist who discovers a new deep-water fish was ever so slightly affected by that fish through a complicated chain linking many different species through biosphere.
An artist drawing a new painting isn't discovering it in the same sense. She isn't interested in how an existing painting was connected to the consequences of her life or the lives of the whole human species. By selecting of all possible ways the paint can be laid down on canvas her particular way of doing that she creates something genuinely new, or as new as it can possibly be. It's counterproductive to label this activity "discovery" because then we lose an important distinction between the nature of the work of an astronomer and that of a painter (or a mathematician).
There are sculptors who'd jokingly say that they "discover" the statue in a stone slab. But they do so in a sarcastic kind of way, really (well, artists are weird and will make a lot of nonsense claims just to trigger non-artistic audience). But, deep down, nobody believes that they are searching and finding good images, melodies or novels. I cannot really imagine a mechanism through which I'd discover the answer writing to you. It's a lot easier to explain what i wrote by saying that I meant to write it.
GED isn't really related to this subject although it contains some of the same themes and characters
Math is made for people to read and write, and they have different 'domain specific languages' for different parts of math.
Now what would be useful is a tool, perhaps something like a large language model, to automatically translate from the notation used in one area of math into another.
That can't be a fully mechanical procedure (hence the need for something flexible like an LLM), because it's part and parcel of human mathematics to abuse notation here and there in the name of ergonomics.
My personal pet peeve is defining a function like f(x) := x + 3, and then treating f(x) as the name of the function, instead of just f. But really, it's just a harmless abuse of notation when done by some humans to other humans.
For example the convention to use the greek alphabet for certain things. This is totally arbitrary and you could have also used emoticons instead (had they existed). But what this means is that the pupil, before tackling the meat of the mathematical problem has to accept that weird looking letter they have never seen for no real reason whatsoever.
And I say that as someone who can fluently read the greek alphabet.
If we changed symbols now, it would create an even bigger mess. Because the people that learn the new symbols, could not read any textbook published before 0 A.D. (Anno Discombobuli)
Adding another alphabet alleviates those issues somewhat but even with greek letters added in we still run into this issue somewhat commonly.
Getting 'f' vs 'f(x)' right mostly is really important for programmers who deal with higher order functions in general all the time. Most mathematicians don't fall into that category.
You could say calculus deals with higher order functions, like the derivative. And that's a valid way to look at it. But most people get by just fine using special purpose notation for the derivative and not thinking about it as a function just like 'f'.)
I used := to emphasis that I am defining 'f' here, not just writing down any old equation. (Eg like like in the example "Find all functions f such that f(x + 1) = x * f (x).")
Though if you wanted to be pedantic about notation, I could have written that as with the x on the other side of the :=, like f := \x -> x + 3 (for Haskell inspired notation) or f := (x |-> x + 3) where |-> means the little arrow I draw by hand to denote a mapping when I'm writing math on a chalk board or piece of paper.
I'm not sure why := would denote a computation? At most you might want to use it to denote an assignment in a mutable context?
In math, := is typically used to denote a definition. Using equality (=) only makes sense if both sides of the equality sign already have a definition.
f = y+3 makes sense f(x) = y+3 does not make sense (at least to me), f(y) = y+3 makes sense however.
f(x) is a function of x correct? It's articulated as "f of x".
> I wonder why you used ':=' instead of '=' to define 'f'. There is no computation going on, right?
:= is assignment in Pascal iirc, maybe that's where it's coming from.
Judging maths on its syntax is like judging a poem or work of literature on its font. It really isn't a central thing.
Is a map real? Well, it is. I can see it on my desk. Is the earth real? It is too, but they are not the same. In that sense map is also not "real".
Is the map discovered? Well, it uses data that was mostly discovered, but some parts were "invented" or edited for simplification for the map to be useful.
The real question should be "is math useful" as a model. We all know most basic parts are, but some mathematicians forget that they are dealing with an imperfect model and keep finding paradoxes. It's like we would forget the imperfections caused by the mercator projection and be surprised the real world distances are not proportional to map distances.
That's the reason I always liked engineering more than maths. When programming you always "import" the libraries you need and find useful for the task. You only make sure that they are compatible with each other. Mathematicians "import" all axioms, call them maths, and are surprised they get paradoxes.
Math is nothing like a map -- maps are approximations of something real and they don't have any kind of internal consistency or complexity.
But there's a good argument that math is the fundamental nature of the universe, and mathematical discoveries lead to predictions of real-world behavior. While maps don't predict a thing.
The philosophical discussion isn't around whether math is useful for tracing the arc of a ball in the air, for which it always will be merely a useful approximation. It's more around math as the language of the universe, in things like quantum physics -- there's no "approximation" here, it's more the nature of reality itself.
And here, the philosophical questions around whether our descriptions of quantum physics are "invented" or "discovered" go quite deep, and necessarily involve the nature of human knowledge itself. For many people, these don't "miss the point" at all -- they're some of the deepest, most profoundly meaningful questions that exist.
I read my comment again and I was surprised, as I did not intend this tone. I’m sorry for being dismissive and for generalising too much about mathematicians.
Could you elaborate or point me to a formulation of the “language of the universe” argument you mentioned that avoids mentioning quantum physics? I don’t understand quantum physics and I’d like to avoid falling for the quantum physics fallacy [1]
[1]: https://www.logicallyfallacious.com/logicalfallacies/Quantum...
Why is it that everyone thinks of mathematical models of quantum mechanics as much closer to the "nature of reality" than any other mathematical model? If anything the constant disagreements between quantum mechanics and physical models at other scales should make it clear that all the models we have are wrong by virtue of incompatibility.
What do you mean by "exist" here?
Except math can hypothetically model any consistent universe, not just our universe, which kind of undercuts the argument that it uses data that was mostly discovered, or that it's merely a model.
I think the most general view is that math is the study of structure, and some structures are real (in the sense that they exist in our universe), and some are not but we can still "discover" them by selective permutation or enumeration of axioms.
We can permutate and enumerate symbols for mountains, rivers and roads on a piece of paper. Maybe we would even get some “interesting” results like a map of the Lords of the Rings universe. How would that change anything?
That describes pre-1900s math we inherited from the greeks. With advent of non-euclidean geometry and abstract math, math is no longer bound to objective 'reality'.
And I would dare to disagree right here. Math contains many structures that we don't know from our universe and that probably do not exist in our universe. If math is a model of universe, why is there a Mandelbrot set?
My map has a text written on it saying “Pacific Ocean”, yet I would not complain if I went to this place an couldn’t find a giant object in the ocean that would look like a letter P from the skies.
Please note, this is mentioned at the beginning of the review:
"I settled in to read the book “Is Math Real?” expecting to become embroiled in the age-old controversary of whether math is invented or math is discovered. Instead, I found myself confronted with two viewpoints of mathematics: one view is that mathematics is a stiff and fixed set of rules and algorithms while the other view is that mathematics is flexible and our understanding of math comes from questioning of why mathematics functions so effectively.
The premise of “Is Math Real?” is that people have different emotions about math. Some love the math and have little difficulty determining the correct answer to a problem while others loathe and dislike the math and have a difficult time ascertaining the correct response. Many times, a student is humbled or chastised for asking ‘a stupid question’. Author Cheng states that there are no stupid questions. In fact, the most profound concepts in mathematics are learned from asking the simplest of questions.”
The more humans understood the world, the more they tried to apply math and other sciences (also invented by humans) in order to explain it.
It's not even a question. Two apples will always be two apples. It's just that, without math, it would be "an apple and another apple next to it".
(It's a working attitude that works well in practice. Just like a heliocentric world view works well enough for most celestial navigation you can do without computers.)
Is math real or not? It doesn't matter she posits, it works and continues to work and we can learn from its existence that almost everything can be explained and is "predictable" given enough inputs.
The universe is compatible with math not because the math is part of it, but because the universe is what math was invented to describe. Most fundamentally, relationships between related structures and sizes. Obviously the universe is full of those since an order does emanate in ours. So aliens probably also have math and even discovering the same relationships etc but that still won't make math an inherent part of the universe to me. The universe doesn't care for math, it just is. Intelligent beings want to describe and discuss it though so we keep inventing math in order to do so and speak a common language.
Personally I find this very simple and not controversial at all. Math was simply invented as a system for us to teach and jot down things so that we don't lose knowledge across generations or for example colleagues.
I may not be possible to know why the universe is this particular way, but I don't think the universe is consistent 'because of maths'. The universe is this way for unknown reasons, but languages don't define or create the things they describe.
To prove this, we can construct descriptions of things that do not or cannot physically exist. Frodo the Hobbit, for example, in English. I'm sure there are equivalent expressions in maths that don't relate to physical things. The description, and therefore the concept exist (same thing), but the thing itself does not. Another way to say it is that the description does not correspond to something that is physically real. So we can construct mathematical descriptions of unreal or hypothetical things, and we can construct English language descriptions of such things. That's just a feature of languages.
That isn't really at odds with what you are saying though, it's just a lower level.
The best argument for this are the various structures across the World (eg. Pyramids in Egypt/Central-Latin America, Temples/Structures in India, Aqueducts from ancient Rome, Great wall from ancient China etc.) spanning thousands of years which could not have been built without a knowledge of Mathematics as we define it today. Their approach and models/notation may have been different but the essence of the Mathematical Abstraction is the same.
https://www.nature.com/articles/s41586-021-04160-4
Or when group theory predicts subatomic particles through symmetries:
https://www.britannica.com/science/subatomic-particle/Hidden...
But other things like continuity and limits, as well as various topological spaces, seem to be purely mathematical constructs.
As the other commentator points out, "Continuity and Limits" are fundamental to explaining physical phenomena (via differential equations) and are not "purely mathematical constructs".
PS: You might find this interesting; Imaginary Numbers are Real - https://www.youtube.com/playlist?list=PLiaHhY2iBX9g6KIvZ_703...
True, that is why I used the words "Discover/Invent". Also i used physical structures as an example since they are the most visible and unarguable evidence of "Real" Mathematics from the earliest times.
You can invent abstractions to model concrete things(eg. all that is needed to model a skyscraper) or to model still further abstractions in a chain (eg. vector spaces for multidimensional/functional/etc. spaces). We only realize that it is "Real" when it is "Applied" in the concrete World (eg. number theory in cryptography).
But how much of our math is just a poor approximation of our universe? Like Newton's gravity was.
If our math only _approximates_ the world, if we discovered something that explains things better, it would all be irrelevant.
There are a lot of hints that something big is missing in our maths as a means of explanation. Like the mathematical constants Pi and Euler repeating infinitely, quantum randomness...
E.g. "Why is the speed of light what it is?".
~300,000,000 meters per second. But the definition of a meter is actually defined by the speed of light, so this number is very human-math-specific.
So instead, you want to look at the speed of light in terms of other physical constants to find a "dimensionless" constant.
This leads us to the fine-structure constant[1], which is a single number that pops out when you relate a few of these experimentally measured constants to each other.
0.0072973525693 ≃ 1/137
This is a number that if any different would mean the universe would not exist in the way it does.
Something very human is the notion of "1". Counting things is very important to intelligent life.
I was thinking the other day, about the world from the perspective of a tree. It doesn't care about counting things. So "1" is irrelevant to it. It's an invented concept by humans.
And most of our mathematical thinking is based around this.
There could be an infinitely deeper and more complicated maths to explain things.
It's like looking at a leaf without a microscope to figure out biological processes. Until the 1600s, biologists could only study what their eyes could see.
All this quantum randomness feels like we are still just looking at a leaf with our eyes.
[1]: https://en.wikipedia.org/wiki/Fine-structure_constant
[2]: https://en.wikipedia.org/wiki/Dimensionless_physical_constan...
[3]: https://en.wikipedia.org/wiki/Physical_constant#Number_of_fu...
https://thatsmaths.com/2014/06/05/sunflowers-and-fibonacci-m...
Is it possible for a universe to exist where those who can think and would follow all possible logic rules, find that e.g. the natural base of logarithms turns out to be something else than 2.71828, or get different prime numbers in the integers despite using similar addition and multiplication rules, or other such changes..., or would they find exactly the same?
I think they would find exactly the same (when it comes to the real actual logic, they may use different conventions and focus on different things if they got e.g. a different amount of dimensions in their universe etc...), I simply can't think how following logic rules could conclude something else no matter in what universe...
For example, in this different universe, if I have an apple and you give me another apple, how many apples do I have? If I have 2, just like in our own universe, then you're probably right. But what if I have 3 apples? What if I still have 1 apple?
We can certainly create number systems that don't behave like the integers, or addition operations where 1 + 1 = something other than 2. We haven't explored many of those too much because they're not very interesting, but they still have structure and may have similar concepts to what we call prime numbers etc. The integers and regular addition happen to be much more useful for understanding our world than all of these other systems.
In a vastly different universe, the opposite may happen: if they studied this weird operation where 1+1=2, they would reach the same conclusions as we do. But they never study it, because it doesn't match their universe at all.
The Euler number has a very concrete definition (or, actually, quite a few equivalent ones). The answer is clear if definitions are the same (all - including the operations we perform and structures we use).
Yet, math we know revolves around the abstraction of (discrete) language AND that we operate with things that we count. Even if we were slime molds (well within the same universe), we may have never developed the concept of integers. At the same time, there could have been 3D geometry without words.
Carl Sagan
Is this one any different?
https://www.amazon.com/Joy-Abstraction-Exploration-Category-...
In science and therefore reality as we know it nothing can be proven to be true. Things can only be falsified in science.
This occurs because if we make 10 million observations that verify a hypothesis we still haven't proven anything to be true because there always exists the possibility that a subsequent observation falsifies the entire hypothesis.
While we can't prove anything in reality is real, we can prove things to be true in mathematics. Proof is the domain of math and logic not science.
Therein lies the irony. We don't know if anything is real in science and therefore reality as we know it but we can verifiably know whether things are real in the universe of math.
It really puts the question in perspective: what does it even mean to be real?
When we do _deductive_ reasoning, and we feel as though the reasoning has been done correctly, then we know something _assuredly_. Mathematics and empirical science are very different in this respect, that much of mathematics is purely deductive.
See: https://en.m.wikipedia.org/wiki/Inductive_reasoning
The first paragraph mentions this. As science is statistical in nature inductive reasoning by being probabilistic suffers from the same problem.
Mathematical reasoning is deductive, and mathematics is part of reality.
My claim still stands resolute in dispute of your claim. You can't know anything through probability/inductive reasoning. At best you can say something is "probably" true, but even this is a limit that's impossible to reach. If you observe something 1 billion times and that observation confirms your hypothesis, you never know if the next 10 trillion observations can deny your hypothesis completely. So even saying something is "probably true" can't even be done. Nothing can be truly known in science and therefore reality as we know it.
>Mathematical reasoning is deductive, and mathematics is part of reality.
It's only part of reality in the same way a fantasy novel is part of reality. It just so happens that it matches our observations. But observations are not always the same or consistent, how will you verify logic and math consistently hold true in reality? You would recursively use stats and science to determine it's veracity which suffers from the same issue as I stated above... you can't prove anything to be true with science.
Math and logic is an axiom of reality. We simply assume it to be true and there's no way to prove that it's true. But here's the kicker. EVEN if we assume science and logic to be true, we STILL can't prove anything to be true in reality. This is because of exactly what I'm talking about above... we can never know the true sample size of all possible observations... any amount of observations or samples we have is finite, but the universe is unknown and samples are potentially infinite. Therefore any sample could be 1/1000000000 of what's out there.
I'm not making any of this up. This is real stuff: https://en.wikipedia.org/wiki/Falsifiability
Quotation from the article:
"One of the questions in the scientific method is: how does one move from observations to scientific laws? This is the problem of induction. Suppose we want to put the hypothesis that all swans are white to the test. We come across a white swan. We cannot validly argue (or induce) from "here is a white swan" to "all swans are white"; doing so would require a logical fallacy such as, for example, affirming the consequent.[4]"
exactly the question which has to be answered before answer "is X real?"
Solved!
> It needs must be that what can be spoken and thought is; for it is possible for it to be, and it is not possible for what is nothing to be.
> 3) math has an indirect usefulness which is a way of thinking that is transferable to a myriad of disciplines and solutions to problems in everyday life. And it is this third reason that makes math relevant for most people.
Are there actually any good studies that show this in a counterfactual setting? Like, do we actually know that spending time teaching maths (or, less plausibly, Latin) helps students aquire these abstract skills more than other subjects? Is this "transferability" of meta-skills a testable outcome?
My feeling is that the utility of higher math, Latin, history and literature comes every minute of every day, as you experienced life as someone who has familiarity those things and your life will be richer and fuller.
This is decidedly not testable. And yet I still believe it.
I took logic in college, and although the "logic as english statements" stuff was sort of confusing, the symbolic stuff like A&B = !A|!B stuff has helped with computers all my life.
It was only much later in life that I ran back into logic as english statements in a way that made sense as practical.
I read a book where they took apart the statement:
If you loved me, you would take me to the movies.
Most people in relationships will respond to this with: Well, I just took you to the movies last week! Why do you want to go again tonight, we had other plans! etc...
But the book explained that with "If X, then Y" it was futile to address Y. You must address X: Wait, do you think I don't love you? Of COURSE I love you!
...just hard to unpack this in the middle of an emotional situation unless you've studied the logic:)
!(A&B)
Anyway… I made a video called “Why Think Mathematically?” as the first in a series called “Thinking Mathematically” on a YouTube channel years ago:https://www.youtube.com/@thinkingmathematically
It might help to answer the question
Since when have you thought that I didn't love you?
Read The Gentle Art of Verbal Self-Defense for why.Basically, I believe that there's a heavy correlation between being good at maths and being good at solving every day (and not so every day) problems.
But I don't believe there's much of a correlation between being taught math at school for even more hours will make much of a difference. Most schools are terribly at teaching anything.
Going through proofs and proving things on your own really transferred to being able to better present arguments. The diversity of the math I learned has helped to reflect on things from different perspectives.
In sum this helped with everything from thinking more and better about the core issue at hand, writing argument chains in the correct order, cutting down on irrelevant stuff and more.
I've used this to significantly help the grades of both my SO and a family member, who both took non-math topics, by improving their hand-ins. I didn't know their field so was strictly improving the structure and presentation, and asking for clarifications where I felt the arguments didn't add up, and have them write down the answer.
I feel it still helps me a lot writing emails at work and similar.
The skill of logical inference — even at the level of very basic syllogisms — is both very much underappreciated and underdeveloped in the American college population, at least from my personal experience. As good citizens, we all collectively should grab a couple of Martin Gardner's or Lewis Carroll's books off the shelf and give them a good read. I predict it will do much good... and if I'm wrong, it certainly won't do any harm!
And, since LLMs are so bad at math currently, we may find that, by improving their math ability with gobs of synthetic data, we get improvements in general reasoning.
One aspect that's quite easy to criticise about this study is that it uses existing groups of students with different levels of maths training. This means that there is possibly self-selection etc, and one may argue there might also be a causal effect in the opposite direction (e.g. folks that are good at reasoning like to do maths.)
We know that if you try to train someone in math (or in Latin), and they do well, then they will also do well at other things in the rest of their life. Some people would like to give the credit for that good performance to the Latin training.
No, I'm not a Billy Joel expert or fanatic. I just happened to notice, all right?
We're not in school.
Philip Davis, Reuben Hersh, "The Mathematical Experience"
Pi shows up in many physics equations, but that’s entirely due to our choice of units.
There is nothing that says that the distribution between rational and irrational numbers that show up in nature is the same as the distribution in our construction of the real numbers.
(Sqrt(2) as a real number, is actually encoded as the set of all rationals less than sqrt(2) on the number line).
Well... one of the consequences of that precision is the theorem that there is no such concept as choosing a real number "at random".
This is not the case for irrationals... therefore it is concluded that the infinity of irrationals is a larger infinity than the infinity of rationals.
See:
My favorite way of visualizing the difference uses the fact that every rational has a repeating decimal after some nth decimal place, and no irrational has a repeating decimal. Say you want to construct a number x, where 0 < x < 1, by drawing integers 0 through 9 randomly from a hat. Each integer drawn from the hat is placed at the end of the decimal; for example, if you draw 1,3,7,4 then the decimal becomes 0.1374. You then draw, say, 1, and it becomes 0.13741, and so on. If you could draw infinitely many times from the hat, what is the probability that you'll construct a number with a repeating sequence? That would give a rational number.
Mathematicians can even meaningfully compare infinities.
See eg https://www.cantorsparadise.com/this-may-seem-more-irrationa... or https://math.stackexchange.com/questions/474415/intuitive-ex...
You can also look at eg a uniform random variable on the interval between 0 to 1. The probability of hitting a rational number is 0%. The probability of hitting an irrational number is 100%.
> Or is the reasoning that, because there is an infinite quantity of irrational numbers between any two given rational numbers, there are therefore many more irrational numbers than rational numbers?
No, that's not enough. There are also an infinitely many rational numbers between any two given irrational numbers.
Indeed, you've grasped the core of it. There's no rule you can write for irrational numbers such that "b is the next number after a", because there are infinitely many numbers between a and b that you'd be missing. You can't count them, i.e. you can't map them to integers.
Uncountable Infinities > Countable Infinities
The "real" in "real numbers" has ultimately not much to do with our everydays notion of real. I'd rather treat it as an arbitrary name. You could as well call them "asdfasdf numbers" and they'd remain the same.
I was surprised later in life when the majority of people I talked to felt Math was this way (and a good thing). To them, math is a set of rules you learn to follow to the T and use them on other problems.
For me, everything a Math teacher conveyed was more of a recommendation, a suggested tool that I could incorporate into my tool box. The methods they employed to solve problems were a matter of preference to me, rather than rigid rules.
This way of thinking has always had some pros and cons. I never solved a problem the way a 'grader' was expecting. Some teachers loved the creativity and efficiency, other TA's just marked as zero. It made applying what I learned to other things, but on exams I would always be stressed with time because I would spend time on which way I was going to answer the problem.
That being said, I am very good at Math. scored well in HS/college, 165/170 Math GRE score, in a field where Math is important (Data Scientist).
I hope all these books, YouTube videos, and websites can help in making students curious about mathematics and explore further on their own. It is hopeless to even expect the school systems in US and a lot of other countries, to change the way their school systems work - teachers are not given enough time to spend on the topics in mathematics. It takes lot of extra effort by the students.
Edit: I thought it was pretty advertent.
The bits you need from calculus to approach those other subjects is also very minimal and approachable relative to the content of a calculus pre-req (where applicable).
A quadratic equation can be used to approximate the coordinates of the trajectory of a thrown object in a gravity field. I think the really interesting question is why that particular equation reflects that trajectory. Arithmetic operators - multiplication and addition in that case - in a particular order, are approximating the causal operations of existence that are actually at work. I think of this as the philosophy of mathematics and much more should be done to investigate it.
The mathematics to accurately predict or relay reality is still complex enough that it’s often beyond us. You’re right in that it’s a tool to understand, but if we’re using simplified math for simplified reality, is it really epistemological?
As you suggest, math isn’t outside the boundary of philosophic investigation. It never was in the past, and I don’t think better approximations change that calculation.
How can any perception be independent of mind consciousness? And how can mathematics reflect anything other than that consciousness?
"Within consciousness" doesn't belong here. Even if all sentient life in the universe died out tomorrow, the idea of triangles (and "triangluarity") would still exist.
this "the idea of triangles would still exist" statement looks very reasonable, but can we ever proove it? you can not remove ALL consciousness to verify. at least a bit consciousness must be in the system to do the experiment.
yes, it very much coincides with all of our understanding of reality, that abstract ideas like triangluarity is independent from any consciousness. at least any consciousness known or conceivable to us so far.
so my extension to this statement would be - admittedly supernaturally-sounding - that: Even if all sentient life in the universe died out tomorrow, the idea of triangles (and "triangluarity") would still exist, possibly because there is a consciousness above/beyond of the conceivable the universe to sustain their existence.
If so, then consciousness doesn't need to exist for information structures to exist.
I often felt that being good at math requires having a natural talent for making the right assumptions to fill in any gaps or ambiguity in explanations. I feel like the language of math does not do justice to the complex, intricate ideas it tries to convey. On the other hand, being good at programming requires the opposite; it's about being able to resist making assumptions.
"In mathematics, the Taylor series or Taylor expansion of a function is an infinite sum of terms that are expressed in terms of the function's derivatives at a single point. For most common functions, the function and the sum of its Taylor series are equal near this point."
This kind of description really throws me off. Especially "terms that are expressed in terms of the function's derivatives at a single point." first of all, superficially, the different meanings of the words 'term' and 'terms' throws me off and then even when I get over that, it's not clear what is meant 'in terms of' in what terms? What kind of relationship are we talking about here? I need to keep reading a lot more to fill that gap... In the meantime, I'm in a state of confusion and will need to re-read that sentence later to make sense of it once I have more info.
I'm not sure how to solve that problem to explain it more clearly but it feels like definitions should gradually build up without gaps. Is it even solvable? I would prefer not having read that definition at all TBH as it only serves to confuse me, it has way too many possible interpretations. I prefer to jump straight to the formula.
I think there is a cultural component that has transferred throughout history whereby people need to signal their level of education to others.
You've probably had it happen yourself without realizing.
You hear someone explaining something in a simplistic way, and notice yourself wondering how deeply they understand the topic. Then when you are explaining the topic, you don't want people to question your own knowledge level like you did to the other person, so you use techniques to signal the depth of your knowledge.
This might be fancy words, or skipping over simplistic things.
And I think this just becomes second nature.
You can see it with programming languages. If I told you to rate a Rust dev vs JS dev, you are thinking Rust is harder to learn so they must be smarter.
It can also just be a challenge to imagine how you thought about a concept when you were initially learning it.
English is pretty terrible for explaining a lot of math too. Math is better understood visually, but back in the day you couldn't exactly share an interactive diagram.
(1) Ratios between things in the world.
(2) Logical relations between things in the world.
(3) Absolute distinctions between things in the world, in a nominative sense, which is to say in the sense that numbers can be assigned to things or elements of things.
Mathematics that relates to one of the three use-cases above is absolutely real, hence its unreasonable effectiveness in the natural sciences. (See Wigner: https://www.maths.ed.ac.uk/~v1ranick/papers/wigner.pdf )
When mathematics does not relate to one of the three -- for e.g., in Cantor's theories of "countable" and "uncountable" infinite sets -- it is totally unreal. A construct or game played with logic that has no prior or intrinsic relevance to the material world.
Is realness not an instrinsic property but just a judgement on how useful something is?
Is being real a real property of something or just a construct?
Whence the pragmatic maxim:
Consider what effects, that might conceivably have practical bearings, we conceive the object of our conception to have. Then, our conception of these effects is the whole of our conception of the object.
Pragmatically speaking, math is no more or less real than that.It misses the point of the question "is math real"?
Tbf, i am actually sympathetic to the position that "realness" is not really relavent or a well defined term when it comes to what is basically a descriptive language of patterns and relations. But "is it real" is the question we started the thread on.
The universe, as we know it, is simulatable. In other words, it can apparently be reduced to mathematics in precisely those three senses I outlined above. (If it helps, you can imagine electrons and other subatomic particles as bits of information in a coordinate space, which are constrained to operate in accordance with rules that govern logical relations between things.)
What mathematics is real? Anything that would relate to that universe or any of its constituent parts, in _any_ meaningful sense. We don't need to have found a use for it, and surely there's a great deal that is still undiscovered.
What mathematics is unreal? Whatever is, a priori, absolutely unnecessary to the existence of such a universe -- or, even worse, would break a universe described in terms of logic were it somehow made manifest.
Are you considering the set of natural numbers to be “unreal”? Or, if you consider the set of natural numbers to be real, do you not consider power sets to be a logical relation?
As for this:
> Or, if you consider the set of natural numbers to be real, do you not consider power sets to be a logical relation?
Skolem solved that quite neatly already: Every "uncountable" set has a countable model. Thus the power set is, in fact, no larger than the set of natural numbers, because both can be fully described in a countable manner. What I'm describing is necessarily an abstraction of an abstraction, though, so I'd consider it "unreal" by definition.
I’m not quite sure what a “model of a set” means. I suppose maybe you mean like, the set in some model, which is described by the given description of a set in the theory?
> Thus the power set is, in fact, no larger than the set of natural numbers, because both can be fully described in a countable manner.
I don’t think this follows.
There are countable models of set theory. And for these models, there is (in the meta-theory) a bijection between the set representing the set of real numbers, and the set (in the meta theory) of natural numbers.
I don’t think this establishes that “in fact” there is a bijection between the real numbers and the natural numbers.
Rather, in any model of any of the usual set theories, there will be no bijection between the set of real numbers and the set of natural numbers. (Of course there will not be, because these theories entail that there is no such bijection.)
If I take a non-standard model of arithmetic, and for some non-standard natural number n, and consider the uniform distribution of (non-standard) natural numbers less than n, then for every standard natural number, the probability of getting that natural number from that distribution, will be equal. Are we therefore to conclude that there is a uniform probability distribution over all the standard natural numbers? By no means!
After all both of them are mostly full of things we will never need, encounter, or even be able to define.
I find that to be quite a bold statement. The question as to whether "mathematics is real" feels firmly rooted in philosophy. First, I would question what is meant by real and unreal. Second, I would question if the answer matters whether the existence of the real and the unreal are not yet discovered, or even imagined.
Alright great lol
> CHENG: I'm not trying to answer whether math is real or not. I'm trying to show that considering the question at all leads us to interesting thoughts. And in the end, what I say is that, with all these questions, I don't think there are yes-or-no answers, and we shouldn't claim that there are. What we should do instead is say there is a sense in which - you know, what is the sense in which math is real, and what is the sense in which math isn't real?
> And the thing is, I think a lot of people who say math isn't real are using that to say, oh, so it's irrelevant and stupid. Why should we study it? It's made up. And what I want to say is that just because it is made up doesn't mean that it's irrelevant. And actually, the fact that it's kind of made up makes it really powerful because - well, it makes it really, in a way, more accessible because you don't need a lot of money to get it. All you need is an imagination. And I think that's a really amazing thing about it. And just like fiction isn't real, but fiction can give us insights about the world around us to highlight much more, specifically, things about society. And that's what I think is powerful about abstract math as well - because we're not constrained by reality.
I haven't read the book, but it seems like the title may be a throwaway question meant to pique the reader's interest and say "let's get philosophical about math".
---
Think of a triangle. Now draw that triangle on paper. If you look closely enough, you'll see "imperfections" in the triangle you just drew. Now ask yourself: "how do I know this thing I just drew is imperfect? Where did the idea of a perfect triangle come from?"
Plato would say the perfect triangle comes from the realm of "forms". This mystical place which is "more real" than "reality" because everything there is perfect and everything here is just a flawed approximation. Plato also said that this is the place where our souls go when we die, and we engage in "congress" with the forms and then return to earth, reincarnated. When we learn things, we aren't learning something new but actually recalling memories of the forms. This is why everyone knows what a perfect triangle is but no one has ever seen one in the physical world.
[1]: Galileo says that, roughly, the book of nature is written in the language of mathematics https://en.m.wikipedia.org/wiki/The_Assayer
[2]: A classical essay by Wigner on the "unreasonable effectiveness of mathematics" also brings up the language analogy. https://web.archive.org/web/20210212111540/http://www.dartmo...
But to me it seems that even when you consider math as just being language… you still run into the same philosophical problem when you consider what the semantics of that language are.
For example, you may believe that the practice of algebra is simply operations on stings of a language. But when you start asking what objects those sentences refer to, you end up asking what math is again.
Math has no fundamental non-differentiable epistemology qua mathematics.
As you said there is no meaningfully discrete, bounded “object” that can be used as a universal reference - so the fact of relativity means that even if maths were “real”
I’m not even sure such a thing exists (who says the rules of the universe are uniform, or static as we’re only have a few centuries of poor observation) and if it does exist, if humans have the ability to identify it
"What can math describe" is an easier question than "what is reality?" or "what is the nature of all concepts a human mind can conceive of or be interested in?". Not that it's an easy question either.
2. While I would say that most would trivially agree that mathematics is a form of language [2], it is less common to argue that mathematics is _just that_. And, crucially, it is not supported by neuroscience [3]. It seems that there are distinct brain areas involved specifically in mathematical thinking outside of those that are language-specific, which would mean that mathematical thinking is more than language [3].
[1] For a criticism regarding galileo's mediocrity and historically unfounded idealisation https://intellectualmathematics.com/blog/the-case-against-ga...
[2] Actually, a collection of languages, as different parts of mathematics form different languages or dialects that are not easy to communicate in between even if they refer to similar objects, eg category theory vs set theory, analysis vs probability theory.
[3] https://anthonybonato.com/2017/09/19/this-is-your-brain-on-m...
I would not construe a small study of 30 people (15 math experts) as having the backing of the field of neuroscience.
The steel man position of mathematics-as-language would be something along the lines of "Mathematics is mostly a language + some other stuff". The paper in question only shows there is "some other stuff"---but that is also true of almost every non-contrived use of language. The paper shows that the other stuff for sentences about history and nature appear differently in the brain than the other stuff for sentences about math, but that is far from demonstrating that math on the whole is not mostly a linguistic phenomenon.
Personally, I think case studies of famous mathematicians or physicists discussing their thinking process (e.g. Einstein) is more convincing evidence against the hypothesis than fMRI studies.
Are languages real? Sure, I guess. Why not. They’re made of concrete sounds and symbols that everyone (by design) can point to - they might even be the realest thing there is.
Are (math) concepts real?
As in like, if I rearranged all the matter that exists out there, would the value of root(2) stop being irrational?
Or maybe they don’t have to be physical to be real; maybe being “real” has more to do whether or not something has an effect on something else than its physical existence. Then, there’s a difference between how something exists and how real it is?
Etc.
Thinking of math as a language as opposed to a set of concepts isn’t interesting to the discussion of its reality IMO
Sorry, if this isn't clear to everyone, why does this result in the rejection of mathematics as a language rather than the rejection of the question of the realism of mathematics? The latter seems much easier with no downsides (that I can see), whereas the rejection of mathematics as a language has many downsides.
Are both language and math a third thing? Like maybe automata?
> The change of motion of an object is proportional to the force impressed; and is made in the direction of the straight line in which the force is impressed.
Translates to
> F=ma
Force = velocity * resistance
Because ℚ ⊂ ℝ of course, but it is also not that far off from the conclusion of the book in that "math is real because it is an idea and ideas are real". In a non-mathematical sense, rational means "based on reason", and reason is the power of the mind.
But can math be both rational AND irrational?
Is there anything that physically exists that is non-mathematical?
The map is not the territory.
But are you sure about this? If mathematics were not prescriptive then we should expect to see some evidence of that. So far nobody has demonstrated the existence of phenomena that contradicts the equations of physics. Usually we would call such phenomena "supernatural."
It's possible in theory that nature doesn't have to obey mathematical laws. But if there's no evidence for it and if it doesn't explain any phenomena, then what is the argument for holding that particular belief?
Math is a collection of abstractions. Some are useful in explaining natural phenomena. Some are not.
You cannot contradict a description; it's not a "law" in the legal/prescriptive sense.
How would you even "contradict the equations of physics"? The real world exists and it's there; we use models to imperfectly describe (to varying degrees of success) its phenomena. In a sense, the real world contradicts those equations because they do not perfectly describe it; they are just an approximation.
That's kind of a tautology because physics is rules for what we observe. If we observe something contradicting the rules then we come up with new rules to describe the new thing.
There are real limits in what humans know about the universe. But it's possible in theory that everything that is "real" follows from some differential equations.
Could your question be rephrased as "take the real world, with its things we don't have an accurate model of (which is most of them). Would we notice if we replaced this universe by a tidier one, perfectly described by a math model?".
It's an interesting, scifi question alright. I don't know if it has an answer.
That's basically asking if there's true randomness.
I thought there was mathematical backing of this observation.
Which means it could all be just random, but we happen to exist at such a small scale within it all, and for such a short period, that we're able to find laws applicable to our pocket and our time period that appear to be true and can predict behavior.
Thought it was interesting.
Descartes posited, "I think, therefore I am" as a reassurance of our existence in a given moment. While this anchors our immediate awareness in some semblance of reality, it doesn't necessarily offer solace regarding the past or the future.
Imagine, if you will, an expansive universe characterized by its sheer randomness and chaos, existing for eons. If, in such a universe, a consciousness can spontaneously emerge and dissolve—much like a fleeting set of physics—how can we be certain of its duration? Does it persist for a lifetime, or does it flicker for just a moment?
Our memories might suggest a continuous existence, but what if they are merely ripples in this vast sea of randomness? It's an unsettling thought: could it be that we exist only in the fleeting now, borne from the precise alignment of countless variables just to perceive this very instant? And that perhaps, a moment ago or a moment hence, we simply weren't and won't be?
While such thoughts might be disconcerting, their implications are, in a way, irrelevant. Even if I could unequivocally prove this transient nature of existence, our ephemeral consciousness would barely have time to grasp it. Our understanding would be obliterated, only to be replaced by another random state.
And yet, if this fleeting moment is all we have, I'm honoured that you spent it reading this randomly generated comment. Not that you had much choice in the matter.
I think it was Shakespeare who said: it was the best of times, it was the blurst of times.
“A Lot of Non-math Digressions”
“Way too wordy and discursive. Boring format.”
“It's hard to imagine that someone would write a book ostensibly about math that has so much personal, political, social, and just plain silly off-subject commentary. This book is so interspersed with that kind of commentary that it is difficult to focus on the math.”
“The book has some helpful insights regarding teaching elementary students basic mathematical operations. However, it is filled with so many abrupt political digressions, often incoherent, and ironically, occasionally illogical, that the entire work is barely readable.”
Define real.
Not when we are talking about how Math can be Complex.
What does knowable even mean?
See https://computingbiology.github.io/docs/hamming1998.pdf "Mathematics on a Distant Planet" for more thinking. Many physicists think that math is instrinsic and absolute (objective) in the universe, not "merely a mutual agreement"
Except circles don’t exist in the real world. They are an abstraction that mankind created that are similar enough to many natural objects as to be a useful abstraction of them.
In order for two alien races to communicate about pi, they’d have to first agree on the definition of a circle as a set of points equidistant from a central point.
That’s one of the axioms they’d have to agree on before they could even get to pi.
Then again, maybe a circle (and all other geometric abstractions) are too tied specifically to visual perception. Maybe, for example, intelligent aliens who only have auditory perception, would have no concept of a circle but would have gotten to the Doppler effect. Or intelligent aliens who only have tactile perception, would have no concept of a circle but would have gotten to the laws of thermodynamics.