Safekipedia
Linear algebra

Orthogonal transformation

Adapted from Wikipedia ยท Discoverer experience

An orthogonal transformation is a special kind of operation used in linear algebra. It is a linear transformation that happens within a real space where we can measure angles and distances, called an inner product space. What makes an orthogonal transformation special is that it keeps the same distances and angles between points. No matter how the transformation moves or turns things, the lengths of vectors and the angles between them stay exactly the same.

In simple terms, orthogonal transformations are like rotating or flipping objects without stretching or squashing them. In two or three dimensions, these transformations can be thought of as rotations, reflections, or a mix of both. For example, a reflection is like looking in a mirror, where the image flips over but keeps the same size and shape. The mathematical tools that describe these transformations are called matrices, and special rules apply to them, such as having determinants of +1 for rotations and -1 for reflections.

Orthogonal transformations are very important in many areas of mathematics and science. They help us understand how objects can be moved and positioned in space while keeping their shape. Because they preserve distances and angles, they are used in computer graphics, physics, and engineering to describe rotations and reflections in space.

Examples

In simple terms, an orthogonal transformation keeps the distances between points and the angles between lines the same. For example, think of turning or flipping a shape โ€” it looks the same even after the move.

One easy example is turning a point on a flat surface. If you turn a point by an angle we call ฮธ, the new position can be described using a special pattern with numbers related to cosine (cos) and sine (sin) of that angle. This pattern makes sure the distance from the starting point to the origin stays the same, and angles between any two points also stay unchanged.

We can build more complex turns in three dimensions using similar patterns. These help us describe spins and flips in our world, keeping shapes looking the same even after they move.

This article is a child-friendly adaptation of the Wikipedia article on Orthogonal transformation, available under CC BY-SA 4.0.