Completed Physics & Astronomy Mathematics & Statistics

Motivic invariants and categorification

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Mathematicians are replacing the familiar numbers that count geometric objects with richer, more complex mathematical structures—like stepping from a two-dimensional shadow into the three-dimensional object that casts it. This research addresses a fundamental gap: classical invariants, such as the Euler characteristic, are blunt tools that lose information when counting curves or other geometric features. By "categorifying" these invariants—raising them from dimension *n* to *n+1*—or making them "motivic" (so they add up properly when a space is cut into pieces), the researchers aim to uncover hidden structures that ordinary numbers miss. A key puzzle is mirror symmetry, where counting curves in one space unexpectedly equals a different count in another space—a bizarre claim that categorification could help explain. This is pure fundamental science. If successful, it will deepen the mathematical foundations of string theory and M-theory, which physicists suspect may describe the universe at its most basic level. There is no immediate practical application. But past fundamental work on invariants and symmetry has underpinned everything from error-correcting codes in mobile phones to the mathematics of particle physics detectors. A clearer understanding of string theory’s mathematics could, over decades, reshape how we think about space, time, and the forces that govern them.

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The proposal aims to discover new structures in geometry, and algebra, and string theory in theoretical physics. Beginning with some classical situation which is already well understood, we aim to generalize it in two directions: we can make the classical situation motivic , or we can categorify it.These are technical words, so an analogy may help. The thing we already understand, the classical mathematics, is like a 2-dimensional shadow on the wall, cast by some 3-dimensional object. Our goals are analogous to understanding this 3-dimensional object, exploring the implications of the extra third dimension, and then seeing what new things we can find out about the shadow by viewing it as the projection of a more complex 3-dimensional object.In both mathematics and physics, there are good notions of the dimension of a mathematical structure - for instance, in physics an n-dimensional field theory is a quantum theory which quantizes maps from n-dimensional objects into some space-time. Oversimplifying rather, classical quantum theory regards particles as points (0-dimensional objects) moving in space-time, so is a 0-dimensional field theory. String theory regards particles as 1-dimensional loops of string moving in space-time, so is a 1-dimensional field theory; more recent developments in physics (M-theory) consider higher dimensional membranes moving in space-time.The idea of categorification is to replace n-dimensional mathematical structures by (n+1)-dimensional structures in a problem, in some systematic way, so that you get the original n-dimensional structure back again when you reduce dimension by one - like passing from a 2-dimensional shadow, to the 3-dimensional object that casts it.In geometry, an invariant is usually a number which counts some class of objects. But because the classes of objects we want to count are usually infinite, this counting has to be done in a complicated way. If you count the objects in just the right way, your invariant may turn out to have some special properties - for instance, it may be unchanged when you deform the underlying space. This kind of thing makes mathematicians excited, as it suggests the invariant is measuring some deeper underlying structure, and we want to know what this is. For example, mirror symmetry is a circle of conjectures coming from physics, which are slowly being proved. One central claim is a surprising equality of invariants: invariants counting curves in a space X should be equal to invariants counting something else on a different space Y, because the quantum theories of X and Y are related. On the face of it, this is as bizarre as saying that quantum theory requires the numbers of giraffes in the Gambia, and of zebras in Zambia, to be the same.An invariant is something which counts the points in a space. It could be a number (integer), or something more general. An invariant of spaces is motivic if, when you cut the space into two pieces, the invariant is the sum of the invariants of the pieces. The most basic is the Euler characteristic , but there are also many other more complicated motivic invariants.Some of the invariants studied in geometry (for instance, Donaldson-Thomas invariants of Calabi-Yau 3-folds, which appear in string theory) use Euler characteristics to do the actual counting. One can try to define a new invariant which counts the same things, but using some other motivic invariant instead of Euler characteristics. This is what we mean by a motivic generalization. The new invariants should be richer, with more structure and information. They may also make new things possible.As one application, we hope to help physicists understand a bit more about what string theory actually is. String theory (in its final form) may be the mathematics underlying the universe, and has been a fertile source of new mathematics for decades, but much of it is still a mystery.

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Researchers

Balazs Szendroi (Co-Investigator)Dominic Joyce (Principal Investigator)Kevin McGerty (Co-Investigator)Raphael Rouquier (Co-Investigator)Thomas Bridgeland (Co-Investigator)Yakov Kremnizer (Co-Investigator)

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