A Matrix with Orthonormal Columns

  • Thread starter Thread starter e(ho0n3
  • Start date Start date
  • Tags Tags
    Columns Matrix
Click For Summary
SUMMARY

The discussion centers on proving that the columns of an n x n matrix M form an orthonormal set if and only if M-1 = MT. Participants analyze a 2 x 2 matrix example, exploring the implications of the determinant condition ad - bc = 1 and the relationship between the matrix and its transpose. The conversation highlights the necessity of understanding the properties of orthonormal sets and matrix inverses, ultimately concluding that if MMT = I, then MTM = I, confirming the orthonormality of both rows and columns.

PREREQUISITES
  • Understanding of matrix operations, specifically matrix multiplication and transposition.
  • Knowledge of determinants and their significance in matrix properties.
  • Familiarity with the concept of orthonormal sets in linear algebra.
  • Experience with inverse matrices and their calculations.
NEXT STEPS
  • Study the properties of orthogonal matrices and their applications in linear transformations.
  • Learn about the Gram-Schmidt process for generating orthonormal sets from a basis.
  • Explore the implications of the Singular Value Decomposition (SVD) in relation to orthonormal matrices.
  • Investigate the relationship between eigenvalues, eigenvectors, and orthonormality in matrix theory.
USEFUL FOR

Students and professionals in mathematics, particularly those studying linear algebra, matrix theory, or related fields. This discussion is beneficial for anyone looking to deepen their understanding of orthonormal sets and matrix properties.

e(ho0n3
Messages
1,349
Reaction score
0
Homework Statement
Let M be an n x n matrix. Prove that the columns of M form an orthonormal set if and only if M-1 = MT.

The attempt at a solution
Let's consider the following 2 x 2 matrix

\begin{pmatrix} a & b \\ c & d \end{pmatrix}

If the inverse equals its transpose, i.e.

\frac{1}{ad - bc} \begin{pmatrix} d & -b \\ -c & a \end{pmatrix} = \begin{pmatrix} a & c \\ b & d \end{pmatrix}

then

\begin{align*}<br /> a &amp; = \frac{d}{ad - bc} \\<br /> b &amp; = \frac{-c}{ad - bc} \\<br /> c &amp; = \frac{-b}{ad - bc} \\<br /> d &amp; = \frac{a}{ad - bc}<br /> \end{align*}

or rather that ad - bc = 1. Does this mean that ab + cd = 0? Not necessarily: Consider a = 2 and b = c = d = 1 so that ad - bc = 2 - 1 = 1 but ab + cd = 2 + 1 = 3. What gives?

And doeas ab + cd = 0 imply the equations above for a, b, c and d? I think not.

I'm stumped.
 
Physics news on Phys.org
Just multiply out the matrices and think.
 
\left| ad - bc \right|=1, but ad - bc may not necessarily be 1. For example, the columns of \begin{pmatrix} -1 &amp; 0 \\ 0 &amp; 1 \end{pmatrix} are orthonormal, but det \begin{pmatrix} -1 &amp; 0 \\ 0 &amp; 1 \end{pmatrix}=-1. I guess it would be easier to work from the relation \begin{pmatrix} a &amp; b \\ c &amp; d \end{pmatrix} \begin{pmatrix} a &amp; c \\ b &amp; d \end{pmatrix} = \begin{pmatrix} 1 &amp; 0 \\ 0 &amp; 1 \end{pmatrix}, which follows from the hypothesis that the transpose of M is its inverse. The equations should be simpler to work with. In general, the product of any 2 x 2 matrix M and its transpose M^T may be expressed as : \begin{pmatrix} a &amp; b \\ c &amp; d \end{pmatrix} \times \begin{pmatrix} a &amp; c \\ b &amp; d \end{pmatrix} = \begin{pmatrix} (r_1,r_1) &amp; (r_1,r_2) \\ (r_2,r_1) &amp; (r_2,r_2) \end{pmatrix}, where r_i denotes the ith row of M, and (r_i,r_j) denotes the scalar product of r_i and r_j. Now equate the latter expression with the identity matrix. This shows that the rows of M are orthonormal, and the argument can be extended to any (n x n) matrix. To show that the columns are also orthonormal, we could use the fact that if MM^T = I, then M^TM=I, and thence express the product M^TM as we did above.
 
Hi e(ho0n3! :smile:

Why make it so complicated? :rolleyes:

In problems like this, just write out the definition!
e(ho0n3 said:
Let M be an n x n matrix. Prove that the columns of M form an orthonormal set if and only if M-1 = MT.

Hint: MMT = I means, for any i and j, ∑aikajk = Iij.

Put i = j: then … ?

Put i ≠ j: then … ? :smile:
 
e(ho0n3 said:
Homework Statement
Let M be an n x n matrix. Prove that the columns of M form an orthonormal set if and only if M-1 = MT.

The attempt at a solution
Let's consider the following 2 x 2 matrix

\begin{pmatrix} a &amp; b \\ c &amp; d \end{pmatrix}

If the inverse equals its transpose, i.e.

\frac{1}{ad - bc} \begin{pmatrix} d &amp; -b \\ -c &amp; a \end{pmatrix} = \begin{pmatrix} a &amp; c \\ b &amp; d \end{pmatrix}

then

\begin{align*}<br /> a &amp; = \frac{d}{ad - bc} \\<br /> b &amp; = \frac{-c}{ad - bc} \\<br /> c &amp; = \frac{-b}{ad - bc} \\<br /> d &amp; = \frac{a}{ad - bc}<br /> \end{align*}

or rather that ad - bc = 1. Does this mean that ab + cd = 0? Not necessarily: Consider a = 2 and b = c = d = 1 so that ad - bc = 2 - 1 = 1 but ab + cd = 2 + 1 = 3. What gives?

And doeas ab + cd = 0 imply the equations above for a, b, c and d? I think not.

I'm stumped.

I don't understand your point with this example. The inverse of
A= \left[\begin{array}{cc}2 &amp; 1 \\ 1 &amp; 1\end{array}\right]
is
A^{-1}= \left[\begin{array}{cc}2 &amp; -1 \\ -1 &amp; 1\end{array}\right]
NOT the transpose of A and so has nothing to do with this problem.
 
OK. Looks like I really messed up on this one. Thank you all for the pointers.
 

Similar threads

  • · Replies 6 ·
Replies
6
Views
1K
Replies
2
Views
2K
  • · Replies 2 ·
Replies
2
Views
1K
  • · Replies 2 ·
Replies
2
Views
845
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 12 ·
Replies
12
Views
3K
Replies
9
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 7 ·
Replies
7
Views
11K