Research Prospects: Graph Theory vs Algebra

In summary: I was taught it, but I loathe the word. It means that there is an algorithm that, given a word $w$ in $X$ will return "Yes" or "No" according to whether $win H$ or not.The second result is the Higman-Neumann-Neumann Embedding Theorem. Usually I would call this the HNN-extension theorem, but I have a reason for doing it this way which will become apparent.First, let me remind you of the free product with amalgamation - if $H_1$ and $H_2$ are subgroups of a group $G$, we say "$G$ is the free
  • #1
Chris11
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I'm curious. Do you think that it is better to go into a subject like graph theory than it is to go into algebra, in the sense of research prospects. Graph theory, at the moment, is much much more active of an area than algebra. It seems also that going into a subject that requires you to more or less have a phd to do research dosen't seem like the best idea--even if you love that subject-- as you wouldn't be able to start your research life until your late 20s.
 
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  • #2
How do you know its much much more active than algebra?

Are you talking about Abstract Algebra?
 
  • #3
Chris11 said:
I'm curious. Do you think that it is better to go into a subject like graph theory than it is to go into algebra, in the sense of research prospects. Graph theory, at the moment, is much much more active of an area than algebra. It seems also that going into a subject that requires you to more or less have a phd to do research dosen't seem like the best idea--even if you love that subject-- as you wouldn't be able to start your research life until your late 20s.

I know very little about research in graph theory, but I do know a bit about research in Algebra. And I wouldn't say it is `inactive'. For instance, in the past two-to-three years three long-standing conjectures have been proven in geometric group theory: the Hanna Neumann conjecture (Metaftsis), that one-relator groups with torsion are residually finite (Wise), and something called the virtually Haken conjecture which I don't understand but the proof was announced just the other week by Ian Agol (I just looked it up and found this post about it).

With finite group theory/rep. theory, the second approach at the classification of finite simple groups is continuing, and I believe a third attempt is started. Getting a foot in here will provide a job for life!

Semigroup theory is also a very active, if small, field.

Now, if by "Algebra" you mean "non-commutative algebra" then this is also a very large field of research. For example,

Q. What properties $\mathcal{P}$ of a group $G$ imply that the group algebra $\mathbb{C}G$ has zero-divisors?

It is relatively easy to find zero divisors if $G$ is finite, while it is a classical result of Higman that $G$ being locally indicable works...but what else?

Also, what do you mean by "start your research life until your late 20s"? I mean, I am 25 and study group theory, and although I have no papers published yet I am planning on submitting one in the next couple of weeks, while I have a couple of other things on the go. My research life has begun!

Of course, are you talking about doing research without doing PhD (although you do mention grad school, so I doubt this)? Well, there is a mathematician in Edinburgh called Agata Smoktunowicz who does research into non-commutative algebra stuff. She had a student who did amateur research in that area before he studied for his PhD with her.

So, in short, I do not think your reasons for studying graph theory over algebra are very good. This is pure maths we are talking about - the only reason you need is that you enjoy it!
 
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  • #4
Well. Perhaps I didn't have enough information to draw my conclusions. But, I'm currently an undergraduate, and it seems like you can get to high level research in graph theory in a shorter space of time than you can in algebra. This is based on the fact that we actually went through a large number of theorems in graph theory that were proved in recent years (≤10). When I go to look up papers online that are on group rep theory, I can't even understand the title of most of them, whereas in graph theory, I can.Its just that I got the impression that you can't start doing what people would consider meaningful research until the phd level. Perhaps the gap isn't as wide as I thought it was. The question above sounds very interesting to me by the way. But, I don't know locally indicable means. I guess there's only one solution. Do as much math as possible.
 
  • #5
Chris11 said:
Well. Perhaps I didn't have enough information to draw my conclusions. But, I'm currently an undergraduate, and it seems like you can get to high level research in graph theory in a shorter space of time than you can in algebra. This is based on the fact that we actually went through a large number of theorems in graph theory that were proved in recent years (≤10). When I go to look up papers online that are on group rep theory, I can't even understand the title of most of them, whereas in graph theory, I can.Its just that I got the impression that you can't start doing what people would consider meaningful research until the phd level. Perhaps the gap isn't as wide as I thought it was. The question above sounds very interesting to me by the way. But, I don't know locally indicable means. I guess there's only one solution. Do as much math as possible.

I should have said - locally indicable is basically the property required to make Higman's proof work. If I remember correctly, it means every subgroup of your group maps onto the integers.

I understand what you mean about there being a gap. However, this gap isn't necessarily a bad thing - it just means you have to do a lot of learning when you start your postgraduate studies, and so you spend all your time reading books and papers and stuff. However, this is good as it teaches you to think like a researcher!

Now, two of my three favourite group theory proofs are not overly high-level.

The first is about the subgroup membership problem. Basically, if I give you a group via a (recursively defined - it doesn't matter what this means though!) presentation $G=\langle X; mathbf{r}\rangle$ then for every subgroup $H\leq G$ is it possible to determine if a given element is in $H$? The answer is no in general.

The proof I like relies on the fact that there are $2$-generated groups with undecidable word problem. The word problem is similar - if I give you a group via a (recursively defined) presentation $G=\langle X; \mathbf{r}\rangle$ then if I give you a word $W$ over the letters of $X^{\pm 1}$ is it possible to determine if $W=_G 1$. Again, in general this is insoluble as there exists groups where this problem is insoluble. Indeed, there exist two-generated groups with this insolubility property (essentially because every group can be embedded in a two-generated group. Look up HNN-extensions for more details).

You can find an obscenely neat proof of the insolubility of the subgroup membership problem for $F_2\times F_2$ here.

The second is to do with a finiteness condition called "residually finite". A group is residually finite if for all $1\neq g\in G$ there exists a homomorphism $\phi$ from $G$ to some finite group $H_g$ ($H_g$ is dependent on $g$), so $\phi: G\rightarrow H_g$, such that $g\phi\neq 1_{H_g}$. This is a very nice property, and as I said in my earlier post, it is a recent result that every one-relator group with torsion ($G\cong \langle X; R^n\rangle$, $n>1$) satisfies this property. Note that $H_g\cong G/N$ for some finite-index subgroup $N$ of $G$, and $g\not\in N$.

Theorem: The automorphism group of a finitely-generated residually finite group is itself residually finite.

To understand the proof (due to G. Baumslag), you only need to know two things. Firstly, that if you intersect to finite index subgroups in a finitely generated group then you get another finite index subgroup. Secondly, there are only finitely many subgroups of a given finite index in a finitely generated group. Combining these, you should realize that if you intersect all subgroups of a given finite index then you end up with a characteristic subgroup - a subgroup $H\leq G$ such that $H\alpha=H$ for all $\alpha\in \operatorname{Aut}(G)$.

Proof: Let $G$ be a finitely generated residually finite group, and let $id\neq \alpha\in\operatorname{Aut}(G)$. We want to prove that there exists a homomorphism from $\operatorname{Aut}(G)$ to some finite group, $K$ say, such that the image of $\alpha$ under this homomorphism is non-trivial.

As $\alpha\neq id$ there exists $g\in G$ such that $g\alpha\neq g$. So, take $h=g(g^{-1}\alpha)\neq 1$. As $G$ is residually finite, there exists a finite index subgroup of $G$ not containing $h$. Intersecting all subgroups of this index, we see that there exists a characteristic subgroup $N\leq G$ such that $h\not\in N$. Then, because $N$ is characteristic in $G$, $\operatorname{Aut}(G)$ induces a finite group $A$ of automorphisms of $G/N$. However, $h\not\in N$ so $\alpha$ induces a non-trivial automorphism of $G/N$. Thus, $\psi: \operatorname{Aut}(G)\rightarrow A$ and $\alpha\psi\neq id_A$, as required.

This proof is from the 60s. It leaves us with a natural question: If $G$ is conjugacy separable, is $\operatorname{Out}(G)$ residually finite? (Conjugacy separable is basically residually finite but for conjugacy - $G$ is conjugacy separable if for every non-conjugate pair $u$ and $v$ there exists a homomorphism from $G$ to a finite group $H$ such that the images of $u$ and $v$ are non-conjugate in $H$, while $\operatorname{Out}(G)=\operatorname{Aut}(G)/\operatorname{Inn}(G)$.) E. Grossman proved that if $G$ satisfies something she called "Property A" and $G$ is conjugacy separable then one can edit Baumslag's proof and get that $\operatorname{Out}(G)$ is residually finite. So people do this - they take a group $G$ and prove that it is conjugacy separable and satisfies property A.

Now, my point isn't that you can understand these proofs and ideas, but that you should be able to understand them after only a little bit of reading.
 
  • #6
hey, swalbr are you a phd student at the moment or have you already finished it? Agata Smoktunowicz is my lecturer for my numbers and rings course this year (or was, my course is just about to finish)
 
  • #7
hmmm16 said:
hey, swalbr are you a phd student at the moment or have you already finished it? Agata Smoktunowicz is my lecturer for my numbers and rings course this year (or was, my course is just about to finish)

I'm doing it at the moment.
 
  • #8
My vote goes with algebra,In my opinion algebra is easy topic in comparison to that of the graph theory.
 

FAQ: Research Prospects: Graph Theory vs Algebra

What is the difference between graph theory and algebra in research?

Graph theory and algebra are both branches of mathematics that have applications in research. Graph theory focuses on the study of graphs, which are mathematical structures that model relationships between objects. Algebra, on the other hand, deals with the manipulation and representation of symbols and equations. In research, graph theory is often used to analyze networks and complex systems, while algebra is used to solve equations and model physical phenomena.

Which branch of mathematics is more useful in research: graph theory or algebra?

Both graph theory and algebra have their own strengths and applications in research. The choice between the two depends on the specific research problem and the type of data being studied. For example, if the research involves analyzing networks or relationships between objects, graph theory would be more useful. On the other hand, if the research involves solving equations or modeling physical phenomena, algebra would be more applicable.

Can graph theory and algebra be used together in research?

Yes, graph theory and algebra can be used together in research. In fact, many research problems require the use of both branches of mathematics. For example, in social network analysis, graph theory is used to analyze the connections between individuals, while algebra is used to model the spread of information or influence through the network.

What are some common research applications of graph theory and algebra?

Graph theory and algebra have a wide range of applications in research. Some common areas where they are used include computer science, biology, physics, social sciences, and engineering. In computer science, graph theory is used to model and analyze networks and algorithms, while algebra is used in cryptography and coding theory. In biology, graph theory is used to study protein interaction networks, while algebra is used in genetic sequencing. In physics, graph theory is used to study complex systems, while algebra is used to model physical phenomena. In social sciences, graph theory is used to analyze social networks, while algebra is used in statistical analysis. In engineering, graph theory is used in circuit design, while algebra is used in optimization and control theory.

Are there any limitations to using graph theory and algebra in research?

Like any other branch of mathematics, graph theory and algebra have their own limitations in research. They may not be applicable to all types of data and research problems. Additionally, their use may require a certain level of mathematical proficiency, which may be a limitation for some researchers. In some cases, other branches of mathematics or interdisciplinary approaches may be more suitable for a particular research problem.

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