Shear mapping

In

and replacing one of the zero elements with a non-zero value.

An example is the

coordinates

${\displaystyle (x,y)}$ to the point ${\displaystyle (x+2y,y)}$. In this case, the displacement is horizontal by a factor of 2 where the fixed line is the x-axis, and the signed distance is the y-coordinate. Note that points on opposite sides of the reference line are displaced in opposite directions.

Shear mappings must not be confused with

.

The same definition is used in

three-dimensional geometry

, except that the distance is measured from a fixed plane. A three-dimensional shearing transformation preserves the volume of solid figures, but changes areas of plane figures (except those that are parallel to the displacement). This transformation is used to describe laminar flow of a fluid between plates, one moving in a plane above and parallel to the first.

In the general n-dimensional

${\displaystyle \mathbb {R} ^{n},}$ the distance is measured from a fixed of ${\displaystyle \mathbb {R} ^{n}}$ that preserves the n-dimensional measure (hypervolume) of any set.

Definition

Horizontal and vertical shear of the plane

In the plane ${\displaystyle \mathbb {R} ^{2}=\mathbb {R} \times \mathbb {R} }$, a horizontal shear (or shear parallel to the x-axis) is a function that takes a generic point with coordinates ${\displaystyle (x,y)}$ to the point ${\displaystyle (x+my,y)}$; where m is a fixed parameter, called the shear factor.

The effect of this mapping is to displace every point horizontally by an amount proportionally to its y-coordinate. Any point above the x-axis is displaced to the right (increasing x) if m > 0, and to the left if m < 0. Points below the x-axis move in the opposite direction, while points on the axis stay fixed.

Straight lines parallel to the x-axis remain where they are, while all other lines are turned (by various angles) about the point where they cross the x-axis. Vertical lines, in particular, become oblique lines with slope ${\displaystyle {\tfrac {1}{m}}.}$ Therefore, the shear factor m is the

of the shear angle ${\displaystyle \varphi }$ between the former verticals and the x-axis. (In the example on the right the square is tilted by 30°, so the shear angle is 60°.)

If the coordinates of a point are written as a

by a 2×2 matrix:

${\displaystyle {\begin{pmatrix}x^{\prime }\\y^{\prime }\end{pmatrix}}={\begin{pmatrix}x+my\\y\end{pmatrix}}={\begin{pmatrix}1&m\\0&1\end{pmatrix}}{\begin{pmatrix}x\\y\end{pmatrix}}.}$

A vertical shear (or shear parallel to the y-axis) of lines is similar, except that the roles of x and y are swapped. It corresponds to multiplying the coordinate vector by the

:

${\displaystyle {\begin{pmatrix}x^{\prime }\\y^{\prime }\end{pmatrix}}={\begin{pmatrix}x\\mx+y\end{pmatrix}}={\begin{pmatrix}1&0\\m&1\end{pmatrix}}{\begin{pmatrix}x\\y\end{pmatrix}}.}$

The vertical shear displaces points to the right of the y-axis up or down, depending on the sign of m. It leaves vertical lines invariant, but tilts all other lines about the point where they meet the y-axis. Horizontal lines, in particular, get tilted by the shear angle ${\displaystyle \varphi }$ to become lines with slope m.

Composition

Two or more shear transformations can be combined.

If two shear matrices are ${\textstyle {\begin{pmatrix}1&\lambda \\0&1\end{pmatrix}}}$ and ${\textstyle {\begin{pmatrix}1&0\\\mu &1\end{pmatrix}}}$

then their composition matrix is

which also has determinant 1, so that area is preserved.

In particular, if ${\displaystyle \lambda =\mu }$, we have

which is a

.

Higher dimensions

A typical shear matrix is of the form

This matrix shears parallel to the x axis in the direction of the fourth dimension of the underlying vector space.

A shear parallel to the x axis results in ${\displaystyle x'=x+\lambda y}$ and ${\displaystyle y'=y}$. In matrix form:

Similarly, a shear parallel to the y axis has ${\displaystyle x'=x}$ and ${\displaystyle y'=y+\lambda x}$. In matrix form:

In 3D space this matrix shear the YZ plane into the diagonal plane passing through these 3 points: ${\displaystyle (0,0,0)}$ ${\displaystyle (\lambda ,1,0)}$ ${\displaystyle (\mu ,0,1)}$

The

by n.

Properties

If S is an n × n shear matrix, then:

• S has
  rank n and therefore is invertible
• 1 is the only
  eigenvalue of S, so det S = 1 and tr
  S = n
• the
  eigenspace
  of S (associated with the eigenvalue 1) has n − 1 dimensions.
• S is defective
• S is asymmetric
• S may be made into a block matrix by at most 1 column interchange and 1 row interchange operation
• the
  volume, or any higher order interior capacity of a polytope
  is invariant under the shear transformation of the polytope's vertices.

General shear mappings

For a vector space V and subspace W, a shear fixing W translates all vectors in a direction parallel to W.

To be more precise, if V is the

of W and W′, and we write vectors as

${\displaystyle v=w+w'}$

correspondingly, the typical shear L fixing W is

${\displaystyle L(v)=(Lw+Lw')=(w+Mw')+w',}$

where M is a linear mapping from W′ into W. Therefore in block matrix terms L can be represented as

${\displaystyle {\begin{pmatrix}I&M\\0&I\end{pmatrix}}.}$

Applications

The following applications of shear mapping were noted by William Kingdon Clifford:

"A succession of shears will enable us to reduce any figure bounded by straight lines to a triangle of equal area."

"... we may shear any triangle into a right-angled triangle, and this will not alter its area. Thus the area of any triangle is half the area of the rectangle on the same base and with height equal to the perpendicular on the base from the opposite angle."^[2]

The area-preserving property of a shear mapping can be used for results involving area. For instance, the Pythagorean theorem has been illustrated with shear mapping^[3] as well as the related geometric mean theorem.

Shear matrices are often used in computer graphics.^[4][5][6]

An algorithm due to Alan W. Paeth uses a sequence of three shear mappings (horizontal, vertical, then horizontal again) to rotate a digital image by an arbitrary angle. The algorithm is very simple to implement, and very efficient, since each step processes only one column or one row of pixels at a time.^[7]

In typography, normal text transformed by a shear mapping results in oblique type.

In pre-Einsteinian

.

See also

• Transformation matrix

References

Bibliography

• Foley, James D.; van Dam, Andries; Feiner, Steven K.; Hughes, John F. (1991), Computer Graphics: Principles and Practice (2nd ed.), Reading:
  ISBN 0-201-12110-7