Reflection (geometry): Difference between revisions
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In [[ | In [[Euclidean geometry]], a '''reflection''' is a linear operation σ on <font style="vertical-align: top"><math>\mathbb{R}^3</math></font> with σ<sup>2</sup> = E, the identity map. This property of σ is called ''involution''. An involutory operator is non-singular and σ<sup>−1</sup> = σ. Reflecting twice an arbitrary vector brings back the original vector : | ||
σ<sup>−1</sup> = σ. Reflecting twice an arbitrary vector brings back the original vector : | |||
:<math> | :<math> | ||
\sigma( \vec{\mathbf{r}}\,) = \vec{\mathbf{r}}\,' \quad\hbox{and}\quad \sigma( \vec{\mathbf{r}}\,'\,) = \vec{\mathbf{r}}. | \sigma( \vec{\mathbf{r}}\,) = \vec{\mathbf{r}}\,' \quad\hbox{and}\quad \sigma( \vec{\mathbf{r}}\,'\,) = \vec{\mathbf{r}}. | ||
</math> | </math> | ||
The operation σ is [[ | The operation σ is an [[isometry]] of <font style="vertical-align: top"><math>\mathbb{R}^3</math></font> onto itself, which means that it preserves inner products and that its inverse is equal to its adjoint, | ||
:<math> | :<math> | ||
\sigma^\mathrm{T} = \sigma^{-1} = \sigma. \, | \sigma^\mathrm{T} = \sigma^{-1}\; ( = \sigma). \, | ||
</math> | </math> | ||
Hence reflection is | Hence reflection is also [[symmetric]]: σ<sup>T</sup> = σ. From (det(σ))<sup>2</sup> = det(E) = 1 follows that isometries have [[determinant]] ±1. Those with positive determinant are rotations, while reflections have determinant −1. Because σ is symmetric it has real [[eigenvalue]]s; since the extension of an isometry to a complex space is unitary, its (complex) eigenvalues have modulus 1. It follows that the eigenvalues of σ are ±1. The product of the eigenvalues being its determinant, −1, the sets of eigenvalues of σ are either {1, 1, −1}, or {−1, −1, −1}. An operator with the latter set of eigenvalues is equal to −E, minus the identity operator. This operator is known alternatively as inversion, reflection in a point, or parity operator. An operator with the former set of eigenvalues is reflection in a plane. Reflections in a plane are the subject of this article. | ||
Sometimes one finds the concept of "reflections in a line", these are rotations over 180°, see [[Rotation matrix#Explicit expression of rotation matrix|rotation matrix]]. | |||
{{Image|Reflection in plane.png|right|250px|Fig. 1. The vector <math>\scriptstyle \vec{\mathbf{r}}</math> goes to <math>\scriptstyle\vec{\mathbf{r}}'</math> under reflection in a plane. The unit vector <math>\scriptstyle\hat{\mathbf{n}}</math> is normal to mirror plane. }} | {{Image|Reflection in plane.png|right|250px|Fig. 1. The vector <math>\scriptstyle \vec{\mathbf{r}}</math> goes to <math>\scriptstyle\vec{\mathbf{r}}'</math> under reflection in a plane. The unit vector <math>\scriptstyle\hat{\mathbf{n}}</math> is normal to mirror plane. }} | ||
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- 2 \big(\hat{\mathbf{n}}\cdot (\vec{\mathbf{s}} - \vec{\mathbf{t}})\big)\hat{\mathbf{n}}, | - 2 \big(\hat{\mathbf{n}}\cdot (\vec{\mathbf{s}} - \vec{\mathbf{t}})\big)\hat{\mathbf{n}}, | ||
</math> | </math> | ||
where <math>\hat{\mathbf{n}}</math> is a unit normal to the plane. Obviously <math>\vec{\mathbf{t}}</math> and <math>\hat{\mathbf{n}}</math> are proportional, they differ only by scaling. Therefore, the equation can be written solely in terms of <math>\vec{\mathbf{t}}</math>, | where <math>\hat{\mathbf{n}}</math> is a unit vector normal to the plane. Obviously <math>\vec{\mathbf{t}}</math> and <math>\hat{\mathbf{n}}</math> are proportional, they differ only by scaling. Therefore, the equation can be written solely in terms of <math>\vec{\mathbf{t}}</math>, | ||
:<math> | :<math> | ||
\vec{\mathbf{s}}\,' = \vec{\mathbf{s}} | \vec{\mathbf{s}}\,' = \vec{\mathbf{s}} | ||
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==Two consecutive reflections== | ==Two consecutive reflections== | ||
{{Image|Two reflections.png|right|450px|Fig. 3. Two reflections. Left drawing: 3-dimensional drawing. Right drawing: view along the PQ axis, drawing projected on the plane through ABC. This plane intersect the line PQ in the point P′}} | {{Image|Two reflections.png|right|450px|Fig. 3. Two reflections. Left drawing: 3-dimensional drawing. Right drawing: view along the PQ axis, drawing projected on the plane through ABC. This plane intersect the line PQ in the point P′}} | ||
Two consecutive reflections in two intersecting planes give a rotation around the line of intersection. This is shown in Figure | Two consecutive reflections in two intersecting planes give a rotation around the line of intersection. This is shown in Figure 3, where PQ is the line of intersection. | ||
The drawing on the left shows that reflection of point A in the plane through PMQ brings the point A to B. A consecutive reflection in the plane through PNQ brings B to the final position C. In the right-hand drawing it is shown that the rotation angle φ is equal to twice the angle between the mirror planes. Indeed, the angle ∠ AP'M = ∠ MP'B = α and ∠ BP'N = ∠ NP'C = β. The rotation angle ∠ AP'C ≡ φ = 2α + 2β and the angle between the planes is α+β = φ/2. | The drawing on the left shows that reflection of point A in the plane through PMQ brings the point A to B. A consecutive reflection in the plane through PNQ brings B to the final position C. In the right-hand drawing it is shown that the rotation angle φ is equal to twice the angle between the mirror planes. Indeed, the angle ∠ AP'M = ∠ MP'B = α and ∠ BP'N = ∠ NP'C = β. The rotation angle ∠ AP'C ≡ φ = 2α + 2β and the angle between the planes is α+β = φ/2. | ||
It is obvious that the product of two reflections is a rotation. Indeed, a reflection is [[ | It is obvious that the product of two reflections is a rotation. Indeed, a reflection is an [[isometry]] and has [[determinant]] −1. The product of two isometric operators is again an isometry and the rule for determinants is det(''AB'') = det(''A'')det(''B''), so that the product of two reflections is an isometry with unit determinant, i.e., a rotation. | ||
Let the normal of the first plane be <math>\vec{\mathbf{s}}</math> and of the second <math>\vec{\mathbf{t}}</math>, then the rotation is represented by the matrix | Let the normal of the first plane be <math>\vec{\mathbf{s}}</math> and of the second <math>\vec{\mathbf{t}}</math>, then the rotation is represented by the matrix | ||
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The ''(i,j)'' element if this matrix is equal to | The ''(i,j)'' element if this matrix is equal to | ||
:<math> | :<math> | ||
\delta_{ij} - \frac{2 t_i t_j }{t^2} - \frac{2 s_i s_j }{s^2} + \frac{4 t_i s_j (\sum_k t_k s_k)}{t^2 s^2} | \delta_{ij} - \frac{2 t_i t_j }{t^2} - \frac{2 s_i s_j }{s^2} + \frac{4 t_i s_j (\sum_k t_k s_k)}{t^2 s^2} . | ||
</math> | </math> | ||
This formula is used in [[vector rotation]].[[Category:Suggestion Bot Tag]] |
Latest revision as of 16:00, 10 October 2024
In Euclidean geometry, a reflection is a linear operation σ on with σ2 = E, the identity map. This property of σ is called involution. An involutory operator is non-singular and σ−1 = σ. Reflecting twice an arbitrary vector brings back the original vector :
The operation σ is an isometry of onto itself, which means that it preserves inner products and that its inverse is equal to its adjoint,
Hence reflection is also symmetric: σT = σ. From (det(σ))2 = det(E) = 1 follows that isometries have determinant ±1. Those with positive determinant are rotations, while reflections have determinant −1. Because σ is symmetric it has real eigenvalues; since the extension of an isometry to a complex space is unitary, its (complex) eigenvalues have modulus 1. It follows that the eigenvalues of σ are ±1. The product of the eigenvalues being its determinant, −1, the sets of eigenvalues of σ are either {1, 1, −1}, or {−1, −1, −1}. An operator with the latter set of eigenvalues is equal to −E, minus the identity operator. This operator is known alternatively as inversion, reflection in a point, or parity operator. An operator with the former set of eigenvalues is reflection in a plane. Reflections in a plane are the subject of this article. Sometimes one finds the concept of "reflections in a line", these are rotations over 180°, see rotation matrix.
Reflection in a plane
If is a unit vector normal (perpendicular) to a plane—the mirror plane—then is the projection of on this unit vector. From the figure it is evident that
If a non-unit normal is used then substitution of
gives the mirror image,
Sometimes it is convenient to write this as a matrix equation. Introducing the dyadic product, we obtain
where E is the 3×3 identity matrix.
Dyadic products satisfy the matrix multiplication rule
By the use of this rule it is easily shown that
which confirms that reflection is involutory.
Reflection in a plane not through the origin
In Figure 2 a plane, not containing the origin O, is considered that is orthogonal to the vector . The length of this vector is the distance from O to the plane. From Figure 2, we find
Use of the equation derived earlier gives
And hence the equation for the reflected pair of vectors is,
where is a unit vector normal to the plane. Obviously and are proportional, they differ only by scaling. Therefore, the equation can be written solely in terms of ,
Two consecutive reflections
Two consecutive reflections in two intersecting planes give a rotation around the line of intersection. This is shown in Figure 3, where PQ is the line of intersection. The drawing on the left shows that reflection of point A in the plane through PMQ brings the point A to B. A consecutive reflection in the plane through PNQ brings B to the final position C. In the right-hand drawing it is shown that the rotation angle φ is equal to twice the angle between the mirror planes. Indeed, the angle ∠ AP'M = ∠ MP'B = α and ∠ BP'N = ∠ NP'C = β. The rotation angle ∠ AP'C ≡ φ = 2α + 2β and the angle between the planes is α+β = φ/2.
It is obvious that the product of two reflections is a rotation. Indeed, a reflection is an isometry and has determinant −1. The product of two isometric operators is again an isometry and the rule for determinants is det(AB) = det(A)det(B), so that the product of two reflections is an isometry with unit determinant, i.e., a rotation.
Let the normal of the first plane be and of the second , then the rotation is represented by the matrix
The (i,j) element if this matrix is equal to
This formula is used in vector rotation.