All Linear Algebra Resources
Example Questions
Example Question #11 : Orthogonal Matrices
Example Question #12 : Orthogonal Matrices
Example Question #13 : Orthogonal Matrices
Example Question #14 : Orthogonal Matrices
Which of the matrices is orthogonal?
, , ,
An x matrix is defined to be orthogonal if
where is the x identity matrix.
We see that
And so
is orthogonal.
Example Question #15 : Orthogonal Matrices
Which of the matrices is orthogonal?
, , ,
An x matrix is defined to be orthogonal if
where is the x identity matrix.
We see that
And so
is orthogonal.
Example Question #14 : Orthogonal Matrices
By definition, an orthogonal matrix is a square matrix such that
for some positive integer
Notice that this also means that the transpose of an orthogonal matrix is its inverse.
Example Question #15 : Orthogonal Matrices
Assume M is an orthogonal matrix. Which of the following is not always true?
All of these options are always true.
Let us examine each of the options:
This is the definition of an orthogonal matrix; it is always true.
This can be directly proved from the previous statment. If you subtitute the inverse for the transpose in the definition equation, it is still true.
The determinant of any orthogonal matrix is either 1 or -1. This statment can be proved in the following way:
The incorrect statment is . Consider an example matrix:
which has a transpose
M and its transpose are clearly not equal. However, if we multiply them, we can see that their product is the identity matrix and they are therefore orthogonal.
Example Question #16 : Orthogonal Matrices
The matrix M given below is orthogonal. What is x?
There is not enough information to determine x.
We know that for any orthogonal matrix:
So, we can set up an equation with our matrix. First, let's find the transpose of M:
Now, let's set up the equation based on the definition:
Comparing the last two matricies, one can see that x=0.
Example Question #282 : Operations And Properties
The matrix A is given below. Is it orthogonal?
There is not enough intformation to determine whether or not A is orthogonal.
Yes, A is orthogonal.
No, A is not orthogonal.
No, A is not orthogonal.
For a matrix M to be orthogonal, it has to satisfy the following condition:
We can find the transpose of A and multiply it by A to determine whether or not it is orthogonal:
Therefore, A is not an orthogonal matrix.
Example Question #16 : Orthogonal Matrices
The matrix B is given below. Is B orthogonal? (Round to three decimal places)
No, B is not orthogonal.
There is not enough information to determine.
Yes, B is orthogonal.
Yes, B is orthogonal.
For a matrix M to be orthogonal, it has to satisfy the following condition:
We can find the transpose of B and multiply it by B to determine whether or not it is orthogonal:
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