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In this shear mapping of an image of the Mona Lisa, the picture was deformed in such a way that its central vertical axis was not modified. In mathematics, a shear mapping or transvection is a particular kind of linear mapping. Its effect leaves fixed all points on one axis and other points are shifted parallel to the axis by a distance proportional to their perpendicular distance from the axis. It is notable that shear mappings carry areas into equal areas.
[edit] Elementary formIn the plane {(x, y): x,y ∈ R }, a horizontal shear (or shear parallel to the x axis) is represented by the linear mapping This leaves horizontal lines y = c invariant, but for m ≠ 0 maps vertical lines x = a into lines y' = (x' − a)/m having slope 1/m Substituting 1/m for m in the matrix gives lines y = m(x − a) of slope m, if desired. A vertical shear (or shear parallel to the y axis) of lines is accomplished by the linear mapping The vertical shear leaves vertical lines x = a invariant, but maps horizontal lines y = b into lines y' = mx' + b The matrices above are special cases of shear matrices, which allow for generalization to higher dimensions. The shear elements here are either m or 1/m, case depending. 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 (see external link). [edit] Advanced formFor a vector space V and subspace W, a shear fixing W translates all vectors parallel to W. To be more precise, if V is the direct sum of W and W ′, and we write vectors as
correspondingly, the typical shear fixing W is L where
where M is a linear mapping from W ′ into W. Therefore in block matrix terms L can be represented as with blocks on the diagonal I (identity matrix), with M above the diagonal, and 0 below. [edit] See also[edit] References
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