Understanding Group Theory and Vector Rotation in 3D

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SUMMARY

This discussion focuses on the relationship between vector rotation in 3D and group theory, specifically the use of the rotation matrix \( R_z \) and the exponential map \( e^{-i \theta J} \). The rotation matrix for a vector in the z-direction is defined as \( R_z = \begin{pmatrix} \cos(\theta) & -\sin(\theta) & 0 \\ \sin(\theta) & \cos(\theta) & 0 \\ 0 & 0 & 1 \end{pmatrix} \). The participant explores the equivalence of this matrix with the generator of rotations \( J_z^{(1)} \) and encounters discrepancies when applying the matrix to a 3D vector. The confusion arises from using the SO(3) matrix instead of SO(2), leading to different results in 3D vector transformations.

PREREQUISITES
  • Understanding of linear algebra and matrix operations
  • Familiarity with group theory concepts, particularly SO(3) and SO(2)
  • Knowledge of quantum mechanics, specifically spin representations
  • Proficiency in complex numbers and their applications in rotations
NEXT STEPS
  • Study the properties of SO(3) and SO(2) groups in detail
  • Learn about the exponential map in Lie groups, particularly in the context of rotations
  • Explore the application of rotation matrices in quantum mechanics and their physical interpretations
  • Investigate the relationship between spin representations and vector transformations in 3D
USEFUL FOR

Students and professionals in physics, particularly those studying quantum mechanics, group theory, and linear algebra, will benefit from this discussion. It is also valuable for mathematicians interested in the applications of group theory to physical systems.

Phymath
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Homework Statement

I'm trying to see the relation of the rotation of a vector in a plane to the generator of rotations...

I want to see how e^{-i \theta J} the rotation representation gives you the same result as acting on any vector with the rotation matrix say with the z direction fixed.

<br /> \[ \left( \begin{array}{ccc}<br /> Cos(\theta) &amp; -Sin(\theta) &amp; 0 \\<br /> Sin(\theta) &amp; Cos(\theta) &amp; 0 \\<br /> 0 &amp; 0 &amp; 1 \end{array} \right)\] = R_z

is R_z \textbf{v} = e^{-i \theta J_z^{(1)}} \textbf{v}

because a 3 dimensional vector has a spin one representation (right? because one full rotation gives the same vector back)

with J_z^{(1)} = \[ \left( \begin{array}{ccc}<br /> 1 &amp; 0 &amp; 0 \\<br /> 0 &amp; 0 &amp; 0 \\<br /> 0 &amp; 0 &amp; -1 \end{array} \right)\]

I get e^{-i \theta J_z^{(1)}} = \sum\frac{(-i \theta)^n}{n!}(J_z)^n = Cos(\theta)(J_z)^2-i J_z^{(1)} Sin(\theta)

<br /> e^{-i \theta J_z^{(1)}}= \[ \left( \begin{array}{ccc}<br /> Cos(\theta)-i Sin(\theta) &amp; 0 &amp; 0 \\<br /> 0 &amp; 0 &amp; 0 \\<br /> 0 &amp; 0 &amp; Cos(\theta)+i Sin(\theta) \end{array} \right)\]

when this matrix is applied to the vector \textbf{v} it doesn't produce the same effect someone help finish the missing pieces thanks!
 
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ok I used the SO(3) matrix instead of SO(2) and that does give back the same matrix however if i still do it in 3-d i don't get the same matrix back

<br /> R(d\theta) = I - i d\theta J \rightarrow J = <br /> \[ \left( \begin{array}{ccc}<br /> 0 &amp; -i &amp; 0 \\<br /> i &amp; 0 &amp; 0 \\<br /> 0 &amp; 0 &amp; 0 \end{array} \right)\] <br />

if you expand e^{-i \theta J} = \[ \left( \begin{array}{ccc}<br /> Cos(\theta) &amp; -Sin(\theta) &amp; 0 \\<br /> Sin(\theta) &amp; Cos(\theta) &amp; 0 \\<br /> 0 &amp; 0 &amp; 0 \end{array} \right)\] <br />
with out the 1 in the bottom right (3,3)entry whys this?
 

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