Exploring SO(3) Representations: Trivial or Complex?

In summary, the conversation discusses the classification of all the linear representations of SO(n) and the irreducible representations of SO(3). It is determined that SO(3) has no irreducible representations of even dimension and a 2-dimensional representation will decompose into a direct sum of one-dimensional representations. The conversation also mentions the correspondence between representations of SU(2) and its Lie algebra su(2).
  • #1
quasar987
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Is it true that SO(3) has no complex 2-dimensional representation (except the trivial one...)? How to see this? If it is nontrivial, can someone provide a source? Is there such a thing as a classification of all the linear representations of SO(n)?

Thanks
 
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  • #2
In general, a (smooth, complex, finite-dimensional) representation of a compact Lie group (such as SO(n)) decomposes into a direct sum of irreducible representations. The irreducible representations of SO(n) have been classified; this is the classical theory of spherical harmonics.

For SO(3), it's easy to work things out by hand. Recall that we have the 2:1 covering SU(2) -> SO(3). So, given an irred rep SO(3) -> GL(V), we can compose it with the covering map to get a rep SU(2). This SU(2) rep is easily seen to be irreducible. The important thing to notice is that the kernel {±I} of the covering map will act trivially on V. Conversely, whenever you have an irreducible representation of SU(2) in which -I is acting trivially, you get an irreducible representation of SO(3).

So now we have to determine the irred reps of SU(2), but this is pretty straightforward (and can be found in virtually every textbook on the rep theory of Lie groups). One approach would go as follows. Because SU(2) is simply connected, its representations lie in one-to-one correspondence with representations of its Lie algebra su(2), which in turn Lie in one-to-one correspondence with representations of the complexification ##\mathfrak{sl}_2\mathbb C = \mathfrak{su}(2) \otimes \mathbb C##. The irred reps of sl_2(C) are ##V_n = \text{Sym}^n \mathbb C^2## (##n=0, 1, 2, \ldots##), where sl_2(C) acts on C^2 in the obvious way. [Note that dim V_n = n+1.] (See, e.g., the chapter in Fulton & Harris on sl_2.)

From this description we can see that ##-I \in SU(2)## acts on V_n by ##(-1)^{n}##, i.e., -I acts trivially on V_n iff n is even (in which case dim V_n is odd).

Consequence: SO(3) has no irreducible representations representations of even dimension.

It follows that a 2-dimensional representation of SO(3) will decompose into a direct sum of one-dimensional representations, which are necessarily trivial (by, e.g., the above description).
 
  • #3
Thank you for this very nice reply morphism.
 

FAQ: Exploring SO(3) Representations: Trivial or Complex?

What is SO(3) and why is it important in scientific research?

SO(3) refers to the special orthogonal group in three dimensions, which is a mathematical concept used to represent rotations in three-dimensional space. It is important in scientific research because many physical phenomena, such as the motion of planets and molecules, can be described using rotations. SO(3) provides a rigorous and efficient way to mathematically represent these rotations, making it a useful tool in various fields of science.

How are representations of SO(3) used in computer graphics?

Representations of SO(3) are used in computer graphics to model and animate the rotation of objects in three-dimensional space. These representations allow computer programs to accurately simulate the movement of objects in a virtual environment, making them an essential component of 3D graphics.

Can you explain the difference between a matrix representation and a quaternion representation of SO(3)?

A matrix representation of SO(3) uses a 3x3 matrix to represent a rotation, while a quaternion representation uses a four-dimensional unit vector. While both representations can be used to describe rotations in 3D space, quaternions have certain advantages such as being more compact and efficient for interpolation, making them popular in computer graphics applications.

Are there real-world applications of representations of SO(3)?

Yes, representations of SO(3) have a wide range of real-world applications. In physics, they are used to describe the motion of rigid bodies and the orientation of particles. In robotics, they are used for motion planning and control of robotic arms. They are also used in computer vision for 3D reconstruction and object tracking.

What are some challenges in working with representations of SO(3)?

One of the main challenges in working with representations of SO(3) is the issue of singularities. These are points where the representation becomes undefined or behaves in a non-intuitive way, which can cause problems in certain applications. Additionally, the computational complexity of working with SO(3) representations can be a challenge in some cases, requiring specialized tools and techniques to handle large amounts of data.

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