What are the components of an isometry in Euclidean space?

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In summary, the conversation discusses the composition of isometries in Euclidean space, which are made up of translations, reflections, and rotations. The speaker is looking for a proof of this fact and asks if anyone knows of a good reference on geometry that may have one. They also mention the connection to the Galilean group and the uniqueness aspect of this composition. Another speaker suggests an explicit factorization method and the need to prove that it gets all other points correct.
  • #1
sat
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It's fairly well known that isometries in Euclidean space are composed of only translations, reflections and rotations. However, I'm finding it difficult to locate a proof of that. As usual, it's "intuitively obvious" but formally I'm not sure where to start.

Does anyone know of a good reference on geometry that might have one?

(My question is actually set in the context of reading about the Galilean group, with every element of that group being a composition of a rotation, translation and motion with uniform velocity. (Arnold's book on classical mechanics.))

Edit: There seems to be a uniqueness aspect to this too. It seems to me to be connected to the direct/semidirect product nature of the Euclidean group.
 
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  • #2
An explicit factorization into translation * rotation (* reflection) is actually pretty easy to find:

Choose a point. Where does it go? That's your translation.
Choose another point. Where does it go? That fixes the rotation.
Choose a third point. Where does it go? That (usually) fixes whether or not you reflect.

Now, you just have to prove that this composition gets all other points right.
 
  • #3
Hurkyl said:
An explicit factorization into translation * rotation (* reflection) is actually pretty easy to find:

Choose a point. Where does it go? That's your translation.
Choose another point. Where does it go? That fixes the rotation.
Choose a third point. Where does it go? That (usually) fixes whether or not you reflect.

Now, you just have to prove that this composition gets all other points right.
Seems quite reasonable. Thanks. I'll look into this tomorrow.
 

1. What is the definition of a decomposing isometry?

A decomposing isometry is a mathematical concept in which an isometry (a transformation that preserves distance and angle measurements) can be broken down into smaller isometries that make up the original transformation.

2. How is a decomposing isometry useful in real-world applications?

Decomposing isometries are useful in various fields such as computer graphics, robotics, and engineering. They can be used to simplify complex transformations, analyze patterns, and improve efficiency in design and motion planning.

3. Can all isometries be decomposed into smaller isometries?

No, not all isometries can be decomposed. In order for an isometry to be decomposed, it must be a composite of smaller isometries that can be combined to form the original transformation.

4. How is a decomposing isometry related to other mathematical concepts?

Decomposing isometries are closely related to group theory, which is a branch of mathematics that studies symmetry and the ways in which objects can be transformed. Isometries are also often used in conjunction with other mathematical concepts such as matrices and vectors.

5. Are there any real-world examples of decomposing isometries?

Yes, there are many real-world examples of decomposing isometries. One example is in computer graphics, where 3D models can be broken down into smaller isometries to simplify the rendering process. Another example is in robotics, where complex movements of robot arms can be decomposed into smaller isometries for more efficient motion planning.

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