Logarithm of a matrix: Difference between revisions

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Constraints in the 2 × 2 case: remove unsourced section that relies on terminology which is, at best, niche
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</math>
 
is a logarithm of ''A''. <br>
is a logarithm of ''A''. Thus, the matrix ''A'' has infinitely many logarithms. This corresponds to the fact that the rotation angle is only determined up to multiples of 2''π''.
 
{{Collapse top|title=Proof}}
 
<math>
log(A) =B_n~</math>⇔<math>~~e^{B_n} =A
</math><br><br>
 
<math>
e^{B_n} = \sum_{k=0}^\infty{1 \over k!}B_n^k
~</math> where <br>
 
<math>
(B_n)^0=
1~I_2,
</math><br>
 
<math>
(B_n)^1=
(\alpha+2\pi n)\begin{pmatrix}
0 & -1 \\
+1 & 0\\
\end{pmatrix},
</math><br>
 
<math>
(B_n)^2=
(\alpha+2\pi n)^2\begin{pmatrix}
-1 & 0 \\
0 & -1 \\
\end{pmatrix},
</math><br>
 
<math>
(B_n)^3=
(\alpha+2\pi n)^3\begin{pmatrix}
0 & 1 \\
-1 & 0\\
\end{pmatrix},
</math><br>
 
<math>
(B_n)^4=
(\alpha+2\pi n)^4~I_2
</math><br>
… <br>
 
<math>
\sum_{k=0}^\infty{1 \over k!}B_n^k =\begin{pmatrix}
\cos(\alpha) & -\sin(\alpha) \\
\sin(\alpha) & \cos(\alpha) \\
\end{pmatrix} =A~.
</math>
<br>
qed.
 
{{Collapse bottom}}<br>
 
is a logarithm of ''A''. Thus, the matrix ''A'' has infinitely many logarithms. This corresponds to the fact that the rotation angle is only determined up to multiples of 2''π''.
 
In the language of Lie theory, the rotation matrices ''A'' are elements of the Lie group [[circle group|SO(2)]]. The corresponding logarithms ''B'' are elements of the Lie algebra so(2), which consists of all [[skew-symmetric matrix|skew-symmetric matrices]]. The matrix