Prove to myself that rotation is a linear transformation?

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Discussion Overview

The discussion centers on understanding and proving that rotation of a vector is a linear transformation, particularly in the context of 2D rotations. Participants explore definitions, intuitive concepts, and rigorous mathematical formulations related to vector rotation.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant questions how to prove that rotation is a linear transformation, expressing an intuitive understanding but seeking a more rigorous justification.
  • Another participant emphasizes the need for a precise definition of rotation to facilitate any proof, suggesting that intuitive notions alone are insufficient.
  • A different participant describes their understanding of vector rotation as a geometric action involving an arrow representing the vector, which is rotated around the origin by a specified angle.
  • One participant asks for a rigorous definition of rotation, indicating a desire for clarity in the discussion.
  • Another participant proposes a mathematical definition of a 2-D counterclockwise rotation, suggesting the use of functions to describe the transformation of coordinates and referencing rotation matrices for further detail.

Areas of Agreement / Disagreement

Participants express varying levels of understanding regarding the definition of rotation and its implications for proving linearity. There is no consensus on a single definition or proof method, indicating ongoing debate and exploration of the topic.

Contextual Notes

Limitations include the reliance on intuitive definitions and the absence of a universally accepted rigorous framework for rotation in the discussion. The mathematical details regarding the functions involved in the rotation transformation remain unspecified.

Who May Find This Useful

This discussion may be of interest to students and educators in mathematics and physics, particularly those exploring the concepts of linear transformations and vector rotations in two-dimensional spaces.

davidbenari
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How do you prove that rotation of a vector is a linear transformation?

It's intuitive (although not completely crystal clear to me) that it is a linear transformation at the 2d level, but how do I prove it to myself (that this is a general property of rotations)?

For example, rotate vector ##\vec{V}## in the xy plane by 30º. ##Rot(\vec{V})=Rot(Vx \vec{e1} + Vy \vec{e2} + Vz \vec{e3})= Vx Rot(\vec{e1}) +Vy Rot(\vec{e2}) + Vz Rot(\vec{e3}) ##

Or in other words, if I have to rotate a vector on the plane xy (for example), how do I prove that this rotation can be done by rotating only my base vectors (or my axis, if you will) and then drawing my original vector with that "new" base or coordinate axis.

Thanks.
 
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What is your definition of a rotation?

To prove something, you'd have to begin with a precise definition of a rotation. If you take an intuitive idea of a rotation as your starting point, you can't do anything except make an intuitive argument.
 
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I think what my class means by rotating a vector is the following: Draw a coordinate axis. Draw a position vector in the traditional way (as an arrow). If I say rotate a vector 30º in the xy plane then this means to trail an arclength equivalent to 30º with the head of your arrow keeping the tail fixed on the origin.

Is this a good conception of what it means to rotate a vector in 3d?

If it's worth mentioning, this is a mathematical physics class, so maybe you have a more precise idea of what they mean by "vector rotation".

Thanks.
 
What's the rigorous definition, by the way?
 
One way to state a rigorous definition of a 2-D counterclockwise rotation by angle theta about the origin (0,0) is to give the equations that specify the image of point (x,y). The rotation is a function R(x,y,theta) gives a 2-D vector R(x,y,theta) = ( f(x,y, theta), g(x,y,theta) ). What functions would f and g be?

If you know about matrices, look at the Wikipedia article on rotation matrix: http://en.wikipedia.org/wiki/Rotation_matrix That will tell you the formulas for f and g.
 

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