MarketGeometric transformation
Company Profile

Geometric transformation

In mathematics, a geometric transformation is any bijection of a set to itself with some salient geometrical underpinning, such as preserving distances, angles, or ratios (scale). More specifically, it is a function whose domain and range are sets of points – most often a real coordinate space, or – such that the function is bijective so that its inverse exists. The study of geometry may be approached by the study of these transformations, such as in transformation geometry.

Classifications
Geometric transformations can be classified by the dimension of their operand sets (thus distinguishing between, say, planar transformations and spatial transformations). They can also be classified according to the properties they preserve: • Displacements preserve distances and oriented angles (e.g., translations); • Isometries preserve angles and distances (e.g., Euclidean transformations); • Similarities preserve angles and ratios between distances (e.g., resizing); • Affine transformations preserve parallelism (e.g., scaling, shear); • Projective transformations preserve collinearity; Each of these classes contains the previous one. and are, in the first order, affine transformations of determinant 1. • Homeomorphisms (bicontinuous transformations) preserve the neighborhoods of points. • Diffeomorphisms (bidifferentiable transformations) are the transformations that are affine in the first order; they contain the preceding ones as special cases, and can be further refined. Fconf.gif | Conformal transformation France aire.gif | Equiareal transformation France homothetie.gif | Homeomorphism France diff.gif | Diffeomorphism Transformations of the same type form groups that may be sub-groups of other transformation groups. ==Opposite group actions==
Opposite group actions
Many geometric transformations are expressed with linear algebra. The bijective linear transformations are elements of a general linear group. The linear transformation A is non-singular. For a row vector v, the matrix product vA gives another row vector w = vA. The transpose of a row vector v is a column vector vT, and the transpose of the above equality is w^T = (vA)^T = A^T v^T . Here AT provides a left action on column vectors. In transformation geometry there are compositions AB. Starting with a row vector v, the right action of the composed transformation is w = vAB. After transposition, :w^T = (vAB)^T = (AB)^Tv^T = B^T A^T v^T . Thus for AB the associated left group action is B^T A^T . In the study of opposite groups, the distinction is made between opposite group actions because commutative groups are the only groups for which these opposites are equal. == Active and passive transformations ==
tickerdossier.comtickerdossier.substack.com