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#ExplainingMyResearch

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Very early in my studies, one of the things that gripped me most was how on its face very serves as a language to describe physical phenomena. I got into and in particular and more and more because it is the that physics is written in.
The research that I do day-to-day now is far removed from physics, but this is still how I view my work: I develop this language, the language of the universe, if you want.


Something different today: Since I've already turned this hashtag into a birds-eye view of my research, today I want to talk about how I understand my work in a broader context.
I started studying at uni, and I am still fascinated by it: Of course the boundaries between different scientific disciplines are and have always been permeable - whether something is physics, or is often a question of interpretation and tools, rather than content.

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The example I showed earlier with the lines inside a circle is one extremely simple version of a of : The disc with the circular boundary is the "universe" and the lines are the branes. The interaction between the branes is given by the cohomology associated to the intersection points. Because of its low dimension, this example is much less complex for higher dimensional universes like our own (which in string theory is 10-dim!).

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It turns out that can be described in terms of , which I have described before: For each of the two different mirror geometries, we can define a of branes (again, this is very simplified and not exactly right), which is a mathematical structure encoding not only the branes themselves, but also in some sense their interactions. Two universes are mirror if the categories of branes are equivalent in a certain way.

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Now, in this particular setting, this does not seem very useful - you can tell what the minimal number of intersection points is by just looking at the picture and mentally "smoothing out" the wiggles in the middle - the minimal number is either 0 or 1.
But this is actually just an extremely simple example of a complicated invariant called , which is central to the description of !

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HOWEVER, there is a associated to this setting which essentially counts the *minimal number of intersection points* given a particular arrangement of endpoints, no matter what the actual lines look like.
Computing it for a particular arrangement of lines involves counting the number of intersection points that is actually present and substracting a certain number of them again (those that are "exact", a distinct property).

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The principle is always as follows: You want to understand some kind of complicated mathematical object, for example a knot or a manifold (see earlier: a potentially very complicated shape of any dimension). In particular, this involves being able to tell different such objects apart: Are they actually fundamentally different, or equivalent in some way?
In order to do this, mathematicians use , of which cohomologies are powerful examples.