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Difference between revisions of "Orthogonal transformation"

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A linear transformation <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/o/o070/o070400/o0704001.png" /> of a Euclidean space preserving the lengths (or, equivalently, the scalar product) of vectors. Orthogonal transformations and only they can transfer an orthonormal basis to an orthonormal one. The equality <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/o/o070/o070400/o0704002.png" /> is also a necessary and sufficient condition of orthogonality, where <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/o/o070/o070400/o0704003.png" /> is the conjugate and <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/o/o070/o070400/o0704004.png" /> the inverse linear transformation.
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A linear transformation of a Euclidean space preserving the lengths (or, equivalently, the scalar product) of vectors. Orthogonal transformations and only they can transfer an orthonormal basis to an orthonormal one. The equality $A^*=A^{-1}$ is also a necessary and sufficient condition of orthogonality, where A^* is the conjugate and A^{-1} the inverse linear transformation.
  
With respect to an orthonormal basis, orthogonal matrices correspond to orthogonal transformations and only to them. The eigen values of an orthogonal transformation are equal to <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/o/o070/o070400/o0704005.png" />, while the eigen vectors which correspond to different eigen values are orthogonal. The determinant of an orthogonal transformation is equal to <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/o/o070/o070400/o0704006.png" /> (special orthogonal transformation) or <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/o/o070/o070400/o0704007.png" /> (non-special orthogonal transformation). In the Euclidean plane, every special orthogonal transformation is a rotation, and its matrix in an appropriate orthonormal basis has the form
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With respect to an orthonormal basis, orthogonal matrices correspond to orthogonal transformations and only to them. The eigen values of an orthogonal transformation are equal to \pm1, while the eigen vectors which correspond to different eigen values are orthogonal. The determinant of an orthogonal transformation is equal to +1 (special orthogonal transformation) or -1 (non-special orthogonal transformation). In the Euclidean plane, every special orthogonal transformation is a rotation, and its matrix in an appropriate orthonormal basis has the form
  
<table class="eq" style="width:100%;"> <tr><td valign="top" style="width:94%;text-align:center;"><img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/o/o070/o070400/o0704008.png" /></td> </tr></table>
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$$\begin{Vmatrix}\cos\phi&-\sin\phi\\\sin\phi&\hphantom{-}\cos\phi\end{Vmatrix},$$
  
where <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/o/o070/o070400/o0704009.png" /> is the angle of the rotation; and every non-special orthogonal transformation is a reflection with respect to a straight line through the origin, and its matrix in an appropriate orthonormal basis has the form
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where \phi is the angle of the rotation; and every non-special orthogonal transformation is a reflection with respect to a straight line through the origin, and its matrix in an appropriate orthonormal basis has the form
  
<table class="eq" style="width:100%;"> <tr><td valign="top" style="width:94%;text-align:center;"><img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/o/o070/o070400/o07040010.png" /></td> </tr></table>
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$$\begin{Vmatrix}1&\hphantom{-}0\\0&-1\end{Vmatrix}.$$
  
In three-dimensional space, every special orthogonal transformation is a rotation around an axis, while every non-special orthogonal transformation is the product of such a rotation and a reflection in a perpendicular plane. In an arbitrary <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/o/o070/o070400/o07040011.png" />-dimensional Euclidean space, orthogonal transformations also reduce to rotations and reflections (see [[Rotation|Rotation]]).
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In three-dimensional space, every special orthogonal transformation is a rotation around an axis, while every non-special orthogonal transformation is the product of such a rotation and a reflection in a perpendicular plane. In an arbitrary n-dimensional Euclidean space, orthogonal transformations also reduce to rotations and reflections (see [[Rotation|Rotation]]).
  
 
The set of all orthogonal transformations in a Euclidean space is a group with respect to multiplication of transformations — the [[Orthogonal group|orthogonal group]] of the given Euclidean space. The special orthogonal transformations form a normal subgroup in this group (the special orthogonal group).
 
The set of all orthogonal transformations in a Euclidean space is a group with respect to multiplication of transformations — the [[Orthogonal group|orthogonal group]] of the given Euclidean space. The special orthogonal transformations form a normal subgroup in this group (the special orthogonal group).

Latest revision as of 18:52, 18 September 2014

A linear transformation A of a Euclidean space preserving the lengths (or, equivalently, the scalar product) of vectors. Orthogonal transformations and only they can transfer an orthonormal basis to an orthonormal one. The equality A^*=A^{-1} is also a necessary and sufficient condition of orthogonality, where A^* is the conjugate and A^{-1} the inverse linear transformation.

With respect to an orthonormal basis, orthogonal matrices correspond to orthogonal transformations and only to them. The eigen values of an orthogonal transformation are equal to \pm1, while the eigen vectors which correspond to different eigen values are orthogonal. The determinant of an orthogonal transformation is equal to +1 (special orthogonal transformation) or -1 (non-special orthogonal transformation). In the Euclidean plane, every special orthogonal transformation is a rotation, and its matrix in an appropriate orthonormal basis has the form

\begin{Vmatrix}\cos\phi&-\sin\phi\\\sin\phi&\hphantom{-}\cos\phi\end{Vmatrix},

where \phi is the angle of the rotation; and every non-special orthogonal transformation is a reflection with respect to a straight line through the origin, and its matrix in an appropriate orthonormal basis has the form

\begin{Vmatrix}1&\hphantom{-}0\\0&-1\end{Vmatrix}.

In three-dimensional space, every special orthogonal transformation is a rotation around an axis, while every non-special orthogonal transformation is the product of such a rotation and a reflection in a perpendicular plane. In an arbitrary n-dimensional Euclidean space, orthogonal transformations also reduce to rotations and reflections (see Rotation).

The set of all orthogonal transformations in a Euclidean space is a group with respect to multiplication of transformations — the orthogonal group of the given Euclidean space. The special orthogonal transformations form a normal subgroup in this group (the special orthogonal group).


Comments

See also Orthogonal matrix and Orthogonal group, and the references therein.

How to Cite This Entry:
Orthogonal transformation. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Orthogonal_transformation&oldid=33318
This article was adapted from an original article by T.S. Pigolkina (originator), which appeared in Encyclopedia of Mathematics - ISBN 1402006098. See original article