Difference between revisions of "Orthogonal matrix"
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$$ | $$ | ||
a _ {j} = \left \| | a _ {j} = \left \| | ||
+ | |||
+ | \begin{array}{rc} | ||
+ | \cos \phi _ {j} &\sin \phi _ {j} \\ | ||
+ | - \sin \phi _ {j} &\cos \phi _ {j} \\ | ||
+ | \end{array} | ||
+ | \right \| . | ||
+ | $$ | ||
A non-singular complex matrix $ a $ | A non-singular complex matrix $ a $ |
Latest revision as of 14:54, 7 June 2020
A matrix over a commutative ring $ R $
with identity $ 1 $
for which the transposed matrix coincides with the inverse. The determinant of an orthogonal matrix is equal to $ \pm 1 $.
The set of all orthogonal matrices of order $ n $
over $ R $
forms a subgroup of the general linear group $ \mathop{\rm GL} _ {n} ( R) $.
For any real orthogonal matrix $ a $
there is a real orthogonal matrix $ c $
such that
$$ cac ^ {-} 1 = \mathop{\rm diag} [\pm 1 \dots \pm 1 , a _ {1} \dots a _ {t} ], $$
where
$$ a _ {j} = \left \| \begin{array}{rc} \cos \phi _ {j} &\sin \phi _ {j} \\ - \sin \phi _ {j} &\cos \phi _ {j} \\ \end{array} \right \| . $$
A non-singular complex matrix $ a $ is similar to a complex orthogonal matrix if and only if its system of elementary divisors possesses the following properties:
1) for $ \lambda \neq \pm 1 $, the elementary divisors $ ( x - \lambda ) ^ {m} $ and $ ( x - \lambda ^ {-} 1 ) ^ {m} $ are repeated the same number of times;
2) each elementary divisor of the form $ ( x \pm 1) ^ {2l} $ is repeated an even number of times.
References
[1] | A.I. Mal'tsev, "Foundations of linear algebra" , Freeman (1963) (Translated from Russian) |
Comments
The mapping $ \alpha : \mathbf R ^ {n} \rightarrow \mathbf R ^ {n} $ defined by an orthogonal matrix $ A $ with respect to the standard basis, $ \alpha ( x) = Ax $, $ x \in \mathbf R ^ {n} $, preserves the standard inner product and hence defines an orthogonal mapping. More generally, if $ V $ and $ W $ are inner product spaces with inner products $ \langle , \rangle _ {V} $, $ \langle , \rangle _ {W} $, then a linear mapping $ \alpha : V \rightarrow W $ such that $ \langle \alpha ( x) , \alpha ( y) \rangle _ {W} = \langle x, y \rangle _ {V} $ is called an orthogonal mapping.
Any non-singular (complex or real) matrix $ M $ admits a polar decomposition $ M = SQ = Q _ {1} S _ {1} $ with $ S $ and $ S _ {1} $ symmetric and $ Q $ and $ Q _ {1} $ orthogonal.
References
[a1] | F.R. [F.R. Gantmakher] Gantmacher, "The theory of matrices" , 1 , Chelsea, reprint (1959) pp. 263ff (Translated from Russian) |
[a2] | W. Noll, "Finite dimensional spaces" , M. Nijhoff (1987) pp. Sect. 43 |
[a3] | H.W. Turnball, A.C. Aitken, "An introduction to the theory of canonical matrices" , Blackie & Son (1932) |
Orthogonal matrix. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Orthogonal_matrix&oldid=48075