Proving transpose of orthogonal matrix orthogonal

Click For Summary
SUMMARY

The discussion confirms that if matrix A is orthogonal, then its transpose AT is also orthogonal. This is established by using the definition of orthogonal matrices, which states that AA^T = A^TA = I, where I is the identity matrix. The proof involves recognizing that the columns of A are orthogonal unit vectors, which directly leads to the conclusion that AT maintains the orthogonality property. Therefore, the orthogonality of AT follows from the properties of A without needing additional verification of the unit vector condition.

PREREQUISITES
  • Understanding of orthogonal matrices and their properties
  • Familiarity with matrix multiplication and the identity matrix
  • Knowledge of linear algebra concepts, specifically vector orthogonality
  • Basic understanding of matrix transposition
NEXT STEPS
  • Study the properties of orthogonal matrices in linear algebra
  • Learn about the implications of matrix transposition on orthogonality
  • Explore proofs involving orthogonal matrices and their applications
  • Investigate the relationship between orthogonal matrices and unit vectors
USEFUL FOR

Students studying linear algebra, mathematicians, and anyone interested in the properties of orthogonal matrices and their applications in various mathematical contexts.

derryck1234
Messages
55
Reaction score
0

Homework Statement



Show that if A is orthogonal, then AT is orthogonal.

Homework Equations



AAT = I

The Attempt at a Solution



I would go about this by letting A be an orthogonal matrix with a, b, c, d, e, f, g, h, i , j as its entries (I don't know how to draw that here)...but this would be a 3x3 matrix with entries a, b, c, d, e, f, g,h, i, j. I would then construct AT, and then multiply the two matrices. I should find that the non-diagonal entries are zero, but how would I show that the diagonal entries are 1?
 
Physics news on Phys.org
Use the fact that the columns are all orthogonal unit vectors.
 
Ok. I understand how I would prove that A times the transpose of A has orthogonal columns...but how would I prove they are unit vectors?
 
What definition are you using for an orthogonal matrix? Note that orthogonal unit vectors for rows and columns is equivalent to AA^T = A^TA=I. The equivalence of these definitions is perhaps in your book or can certainly be found online.

I would use the second definition. A is orthogonal if and only if AA^T=A^TA = I. To show A^T is orthogonal, make use of the fact that (A^T)^T=A.
 
If you're assumed that A is already orthogonal then you don't need to prove that the columns are orthogonal unit vectors. That's the definition of an orthogonal matrix, thus already being in your assumption that A is orthogonal.
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

Similar threads

  • · Replies 11 ·
Replies
11
Views
3K
  • · Replies 6 ·
Replies
6
Views
2K
  • · Replies 18 ·
Replies
18
Views
4K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 46 ·
2
Replies
46
Views
9K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 9 ·
Replies
9
Views
3K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 9 ·
Replies
9
Views
2K