Why must the form of v_i v_j be independent of coordinate system?

  • Context: Graduate 
  • Thread starter Thread starter member 428835
  • Start date Start date
  • Tags Tags
    Invariant Vectors
Click For Summary

Discussion Overview

The discussion centers on the concept of vector invariance and its implications for the form of the velocity stress tensor, specifically the expression ##v_i v_j##. Participants explore the independence of this expression from the choice of coordinate system, touching on theoretical aspects of vectors in physics.

Discussion Character

  • Conceptual clarification
  • Debate/contested
  • Technical explanation

Main Points Raised

  • One participant seeks to understand the meaning of a vector being invariant and its independence from coordinate systems, referencing a previous post for context.
  • Another participant suggests viewing vectors as geometric objects, asserting that while their component representations may change with different coordinate systems, their fundamental form remains unchanged.
  • It is proposed that the expression ##v_i v_j## must be independent of the coordinate system due to isotropy, leading to the conclusion that ##v_2 v_3 = 0## under certain transformations.
  • A participant emphasizes that all vectors are inherently independent of the coordinate system, highlighting the concept of invariance under linear transformations.

Areas of Agreement / Disagreement

Participants generally agree on the idea that vectors are independent of coordinate systems, but there is no consensus on the implications for the specific expression ##v_i v_j## and the conditions under which it holds.

Contextual Notes

The discussion includes assumptions about isotropy and the nature of transformations, which are not fully explored or defined. The implications of these assumptions on the validity of the claims remain unresolved.

member 428835
Hey PF!

I am trying to understand what is meant when we say a vector is invariant, which I believe is independent of a coordinate system. I have already read a PF post here: https://www.physicsforums.com/showthread.php?t=651863.

I'm looking at DH's post, and this makes a lot of sense!

However, I have read the following, which I am trying to interpret. Please read this and help me out, if you can:

Consider the single point velocity stress tensor, ##v_i v_j## where ##v_i## is the ##i##th component of velocity. First rotate the coordinate system 90 degrees around the ##x_1## axis so the old ##x_3## axis becomes the new ##x′_2## axis and the old negative ##x_2## axis becomes the new ##x′_3## axis. It is easy to see ##v′_2 v′_3## in the new coordinate system must be equal to ##-v_2 v_3## in the old. But isotropy [don't worry about interpreting this] requires that the form of ##v_i v_j## be independent of coordinate system. This clearly is possible only if ##v_2 v_3 = 0##.

Thanks!
 
Last edited by a moderator:
Physics news on Phys.org
Sorry to post again, but I received an email that someone replied but I cannot view the response. Could you post again, whoever it was?
 
The easiest way, cutting all algebra out of the way, is to view a vector as a geometric object. Think of it like a rigid arrow in any coordinate frame you like.

Better yet, think of a vector as... a cube. Just a geometric object. You can make infinite coordinate systems surround and envelope the cube, but the cube will never change based on the coordinate system.

Vectors, like cubes, are just geometric objects. They do not change with a choice of coordinate system. The numbers which represent the components may change, but the form won't change. Does this make sense?
 
  • Like
Likes   Reactions: 1 person
totally, this confirms my intuition. thanks!
 
All vectors are independent of the coordinate system- that's the whole point of vectors! A vector can be "invariant" under a given linear transformation: if for linear transformation A, Av= v the v is "invariant under A".
 

Similar threads

  • · Replies 42 ·
2
Replies
42
Views
5K
Replies
2
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 7 ·
Replies
7
Views
3K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 8 ·
Replies
8
Views
2K
  • · Replies 59 ·
2
Replies
59
Views
8K
  • · Replies 16 ·
Replies
16
Views
5K