Bilinear forms & Symmetric bilinear forms

  • Context: Graduate 
  • Thread starter Thread starter kingwinner
  • Start date Start date
  • Tags Tags
    Forms Symmetric
Click For Summary

Discussion Overview

The discussion revolves around symmetric bilinear forms and their diagonalization, particularly in the context of a specific symmetric matrix. Participants explore the implications of orthogonality in relation to bilinear forms, the process of diagonalization, and the relationship between the bilinear form and its matrix representation.

Discussion Character

  • Technical explanation
  • Debate/contested
  • Mathematical reasoning
  • Homework-related

Main Points Raised

  • One participant states that if B is an orthogonal basis for V, then the symmetric bilinear form f satisfies f(vi,vj)=0 for all i not=j, leading to the conclusion that f can be diagonalized.
  • Another participant challenges this assertion, suggesting that orthogonality does not necessarily imply that f(vi,vj)=0 for all i not=j, and that symmetric bilinear forms can be represented by symmetric matrices in any basis.
  • There is a discussion about the matrix A provided, with one participant confirming they found an orthogonal matrix P such that (P^T)AP is diagonal, while expressing confusion about the subsequent steps in the problem.
  • Another participant suggests that the problem would not make sense if symmetric bilinear forms were diagonal in any orthonormal basis, indicating a misunderstanding in the initial claim.
  • One participant presumes that the eigenvalues of A have been found and that the corresponding eigenvectors can be used to construct the matrix P, which would diagonalize A.
  • Further confusion arises regarding the distinction between diagonalizing the matrix A and diagonalizing the bilinear form f, with questions about the nature of f itself and its symmetry.
  • A theorem is referenced, stating that a bilinear form is symmetric if and only if every matrix representing it is symmetric, leading to uncertainty about whether f is symmetric based solely on the properties of matrix A.

Areas of Agreement / Disagreement

Participants express disagreement regarding the implications of orthogonality on the properties of symmetric bilinear forms. There is no consensus on the relationship between the diagonalization of the matrix A and the bilinear form f, nor on the symmetry of f itself.

Contextual Notes

There are unresolved assumptions regarding the nature of the bilinear form f and its relationship to the symmetric matrix A. The discussion reflects uncertainty about the conditions under which diagonalization occurs and the implications of orthogonality.

kingwinner
Messages
1,266
Reaction score
0
1) Let f: V x V -> F be a symmetric bilinear form on V, where F is a field.
Suppose B={v1,...,vn} is an orthogonal basis for V
This implies f(vi,vj)=0 for all i not=j
=>A=diag{a1,...,an} and we say that f is diagonalized.


============
Now I don't understand the red part, i.e. how does orthongality imply f(vi,vj)=0 for all i not=j?

============

2) For the following symmetric matrix A,
A=[1 -1 -1
-1 1 -1
-1 -1 1]
a) find an orthogonal matrix P such that (P^T)AP is diagonal.
b) Let f be the bilinear form on R^3 that has matrix A relative to the basis B={(1,1,1),(1,0,1),(0,1,-1)}. Use the matrix P from part a to find a basis of R^3 relative to which f is represented by a diagonal matrix. Also write out the corresponding diagonalized expression for f.


I got part a),
P= [1/sqrt3 1/sqrt2 1/sqrt6
1/sqrt3 -1/sqrt2 1/sqrt6
1/sqrt3 0 -2/sqrt6]
is orthogonal such that (P^T)AP=diag{-1,2,2} is diagonal.
Now part b is the headache[/color], I don't even know how to start, can someone please help me? It seems really challenging, but I am sure someone here knows how to solve it.


Thanks a million!
 
Physics news on Phys.org
Can someone please help me?
 
kingwinner said:
1) Let f: V x V -> F be a symmetric bilinear form on V, where F is a field.
Suppose B={v1,...,vn} is an orthogonal basis for V
This implies f(vi,vj)=0 for all i not=j
=>A=diag{a1,...,an} and we say that f is diagonalized.


============
Now I don't understand the red part, i.e. how does orthongality imply f(vi,vj)=0 for all i not=j?

============
It doesn't- there certainly exist symmetric bilinear forms that are not "diagonalized" just because we pick an orthonormal basis. Perhaps you have misunderstood or miscopied something. A symmetric bilinear operator can always be written as a symmetric matrix in any basis and it is always possible to choose an orthonormal basis so that matrix is diagonal. But it must be chosen carefully, it is not true for every orthonormal basis.

2) For the following symmetric matrix A,
A=[1 -1 -1
-1 1 -1
-1 -1 1]
a) find an orthogonal matrix P such that (P^T)AP is diagonal.
b) Let f be the bilinear form on R^3 that has matrix A relative to the basis B={(1,1,1),(1,0,1),(0,1,-1)}. Use the matrix P from part a to find a basis of R^3 relative to which f is represented by a diagonal matrix. Also write out the corresponding diagonalized expression for f.
In fact, this problem wouldn't make sense if the forgoing were true! If a symmetric bilinear form is diagonal in any orthonormal basis, they wouldn't be asking you to find such a basis!

I got part a),
P= [1/sqrt3 1/sqrt2 1/sqrt6
1/sqrt3 -1/sqrt2 1/sqrt6
1/sqrt3 0 -2/sqrt6]
is orthogonal such that (P^T)AP=diag{-1,2,2} is diagonal.
Now part b is the headache[/color], I don't even know how to start, can someone please help me? It seems really challenging, but I am sure someone here knows how to solve it.


Thanks a million!
Okay, I presume that you found that A has a double eigenvalue of 2 and a single eigenvalue of 1 and have found 3 independent vectors corresponding to those eigenvalues and used those vectors as columns to construct the matrix P. Well, that's the whole point isn't it! You've already done all the work. If you use THOSE eigenvectors as basis vectors, then A is diagonal with the eigenvalues on the diagonal. The columns of the matrix P are the basis vectors sought in b and D is just the diagonal matrix with the eigenvalues of A, 2, 2, -1, on the diagonal.
 
HallsofIvy said:
Okay, I presume that you found that A has a double eigenvalue of 2 and a single eigenvalue of 1 and have found 3 independent vectors corresponding to those eigenvalues and used those vectors as columns to construct the matrix P. Well, that's the whole point isn't it! You've already done all the work. If you use THOSE eigenvectors as basis vectors, then A is diagonal with the eigenvalues on the diagonal. The columns of the matrix P are the basis vectors sought in b and D is just the diagonal matrix with the eigenvalues of A, 2, 2, -1, on the diagonal.


2b) So is the answer to this part going to be the columns of P?
But isn't there a difference between diagonalizing A and diagonalizing the bilinear form f? I don't get why the answer is true...
Also, what would the diagonalized expression for f look like?

By the way, the question says "Let f be the bilinear form on R^3...", so f is not necessarily a symmetric bilinear form, right?
Theorem: A bilinear form f is symmetric if and only if EVERY matrix that represents f is symmetric.
So using this theorem, ONE matrix (i.e. the matrix A) that represents f is symmetric doesn't imply that f is symmetric.

I am so confused, please help me...
 
Last edited:

Similar threads

  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 3 ·
Replies
3
Views
4K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 14 ·
Replies
14
Views
4K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 1 ·
Replies
1
Views
3K
  • · Replies 5 ·
Replies
5
Views
3K
  • · Replies 4 ·
Replies
4
Views
3K