Define Matrix A w/ Orthogonal Vectors | R3

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SUMMARY

The discussion focuses on defining a 3x3 matrix A using an orthogonal set of vectors in R3, specifically u1 = [1 1 1]', u2 = [-1 0 1]', and u3 = [-1 2 -1]'. It is established that matrix A is nonsingular and that the product A'A results in a diagonal matrix. The orthogonality of the vectors ensures their linear independence, which directly contributes to the nonsingularity of matrix A.

PREREQUISITES
  • Understanding of orthogonal vectors in R3
  • Knowledge of matrix operations, specifically matrix transposition
  • Familiarity with concepts of linear independence and matrix rank
  • Basic linear algebra principles regarding nonsingular matrices
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  • Study the properties of orthogonal vectors and their implications in linear algebra
  • Learn about matrix rank and its significance in determining matrix singularity
  • Explore the computation of matrix products, particularly A'A for given matrices
  • Investigate the relationship between orthogonality and linear independence in vector spaces
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This discussion is beneficial for students of linear algebra, educators teaching matrix theory, and anyone interested in the properties of orthogonal vectors and their applications in matrix analysis.

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Homework Statement



Let S = { u1, u2, u3} be an orthogonal set of nonzero vectors in R3. Define (3 x 3) matrix A by A = [u1, u2, u3]. Show that A is nonsingular and A'A (' is transpose) is a diagonal matrix. Calculate the diagonal matrix using the given orthogonal vectors: u1 = [1 1 1]'; u2 = [-1 0 1]'; u3 = [-1 2 -1]'

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The Attempt at a Solution



I think my IQ drops by the minute, thereof a stupid question... what does it mean to "define" the matrix? Do I just create the matrix from the given set of vectors??
 
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dlevanchuk said:
I think my IQ drops by the minute, thereof a stupid question... what does it mean to "define" the matrix? Do I just create the matrix from the given set of vectors??

Yes, exactly.

Now, what is the relation between orthogonality and linear independence of vectors? Further on, how does this relate to the matrix rank? And how does the rank relate to regularity/non-singularity?
 
could i just say that since the vectors are orthogonal, that means they are linearly independent, and that makes the matrix non singular.. sounds pretty logical to me :)
 

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