Orthogonal matrices form a group

In summary, the conversation discusses how to show that the set of all ##n \times n## orthogonal matrices forms a group. The conversation covers the closure, associativity, identity element, and inverse properties of the group. It is concluded that the set of orthogonal matrices does form a group.
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spaghetti3451
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Homework Statement



Show that the set of all ##n \times n## orthogonal matrices forms a group.

Homework Equations



The Attempt at a Solution



For two orthogonal matrices ##O_{1}## and ##O_{2}##, ##x'^{2} = x'^{T}x' = (O_{1}O_{2}x)^{T}(O_{1}O_{2}x) = x^{T}O_{2}^{T}O_{1}^{T}O_{1}O_{2}x = x^{T}O_{2}^{T}O_{2}x = x^{T}x = x^{2}.##

So, closure is obeyed.

Matrix multiplication is associative.

The identity element is the identity matrix.

##x'^{2} = (O^{-1}x)^{T}(O^{-1}x) = x^{T}(O^{-1})^{T}O^{-1}x = x^{T}(O^{T})^{-1}O^{-1}x = x^{T}(OO^{T})^{-1}x = x^{T}x = x^{2}##.

So, the inverse of any orthogonal matrix is an orthogonal matrix.

Is my answer correct?
 
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Looks good to me
 

FAQ: Orthogonal matrices form a group

What is an orthogonal matrix?

An orthogonal matrix is a square matrix in which the columns and rows are orthogonal unit vectors. This means that the dot product of any two columns (or rows) is equal to 0, and the magnitude of each column (or row) is equal to 1.

How do orthogonal matrices form a group?

Orthogonal matrices form a group because they satisfy the four axioms of a mathematical group: closure, associativity, identity, and inverse. This means that when two orthogonal matrices are multiplied together, the resulting matrix is also orthogonal, and every orthogonal matrix has an inverse that is also orthogonal.

What are the properties of a group formed by orthogonal matrices?

The group formed by orthogonal matrices has several properties, including closure, associativity, identity, and inverse. Additionally, the determinant of an orthogonal matrix is either 1 or -1, and the group is closed under matrix multiplication.

How are orthogonal matrices used in mathematics and science?

Orthogonal matrices have many applications in mathematics and science, including in linear algebra, geometry, and physics. They are often used in transformations, such as rotations and reflections, and in solving systems of linear equations.

Can all square matrices be made orthogonal?

No, not all square matrices can be made orthogonal. In order for a matrix to be orthogonal, its columns (or rows) must be orthogonal unit vectors. Therefore, only square matrices with orthogonal unit vectors as columns (or rows) can be made orthogonal.

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