John Stillwell - Naive Lie Theory.pdf - Index of
John Stillwell - Naive Lie Theory.pdf - Index of
John Stillwell - Naive Lie Theory.pdf - Index of
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130 6 Structure <strong>of</strong> <strong>Lie</strong> algebras<br />
[X,E ij ]=<br />
⎛<br />
i j<br />
⎞<br />
−x 1 j x 1i<br />
−x 2 j x 2i<br />
. .<br />
i<br />
−x j1 −x j2 ··· 0 ··· 0 ··· −x jn<br />
.<br />
. .<br />
j<br />
x i1 x i2 ··· 0 ··· 0 ··· x in<br />
⎜<br />
⎟<br />
⎝<br />
. .<br />
⎠<br />
−x nj x ni<br />
(*)<br />
We now make a series <strong>of</strong> applications <strong>of</strong> formula (*) for [X,E ij ] to<br />
reduce a given nonzero X ∈ so(n) to a nonzero multiple <strong>of</strong> a basis vector.<br />
The result is the following theorem.<br />
Simplicity <strong>of</strong> so(n). For each n > 4, so(n) is a simple <strong>Lie</strong> algebra.<br />
Pro<strong>of</strong>. Suppose that I is a nonzero ideal <strong>of</strong> so(n), andthatX is a nonzero<br />
n × n matrix in I. We will show that I contains all the basis vectors E ij ,so<br />
I = so(n).<br />
In the first stage <strong>of</strong> the pro<strong>of</strong>, we <strong>Lie</strong> bracket X with a series <strong>of</strong> four<br />
basis elements to produce a matrix (necessarily skew-symmetric) with just<br />
two nonzero entries. The first bracketing produces the matrix X 1 =[X,E ij ]<br />
shown in (*) above, which has zeros everywhere except in columns i and j<br />
and rows i and j.<br />
For the second bracketing we choose a k ≠ i, j and form X 2 =[X 1 ,E jk ],<br />
which has row and column j <strong>of</strong> X 1 moved to the k position, row and column<br />
k <strong>of</strong> X 1 moved to the j position with their signs changed, and zeros where<br />
these rows and columns meet. Row and column k in X 1 =[X,E ij ] have<br />
at most two nonzero entries (where they meet row and column i and j),<br />
so row and column j in X 2 =[X 1 ,E jk ] each have at most one, since the