Fundamental theorem of Orthogonality

In summary, the conversation discusses a group represented by matrices and the fundamental theorem of orthogonality. The matrices are not linearly independent and do not fulfill the fundamental theorem of orthogonality.
  • #1
Hymne
89
1
Hello there!

I have a group represented by the following matricies:

[tex]
\left( \begin{array}{cc}
1 & 0 \\
0 & 1 \end{array} \right)\][/tex] ; [tex] 0.5\left( \begin{array}{cc}
-1 & \sqrt{3} \\
-\sqrt{3} & -1 \end{array} \right)\][/tex] and[tex]\quad 0.5
\left( \begin{array}{cc}
-1 & -\sqrt{3} \\
\sqrt{3} & -1 \end{array} \right)\]

[/tex]

These does not however, seem to fulfill the F O T, what does this mean? It seems to be a irreducible representation :/
 
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  • #2
(1) Is this homework?
(2) What does the fundamental theorem of orthogonality state?
 
  • #3
Those matrices are not linearly independent:

[tex] 0.5\left( \begin{array}{cc}
-1 & \sqrt{3} \\
-\sqrt{3} & -1 \end{array} \right)\] = - 0.5 \left( \begin{array}{cc}
-1 & -\sqrt{3} \\
\sqrt{3} & -1 \end{array} \right)\] - 2I.
[/tex]
 

Related to Fundamental theorem of Orthogonality

1. What is the Fundamental Theorem of Orthogonality?

The Fundamental Theorem of Orthogonality is a mathematical principle that states that any vector can be expressed as a linear combination of orthogonal vectors. This means that any vector in a given vector space can be broken down into components that are perpendicular to each other.

2. What is the significance of the Fundamental Theorem of Orthogonality?

The Fundamental Theorem of Orthogonality is significant because it allows us to simplify complex vectors and systems by breaking them down into simpler, orthogonal components. This makes it easier to solve equations and perform calculations in various fields, such as physics, engineering, and computer science.

3. Can the Fundamental Theorem of Orthogonality be applied to any vector space?

Yes, the Fundamental Theorem of Orthogonality applies to any vector space, as long as the vectors in that space are orthogonal. This includes both finite-dimensional and infinite-dimensional vector spaces.

4. How is the Fundamental Theorem of Orthogonality related to the concept of orthogonality?

The Fundamental Theorem of Orthogonality is directly related to the concept of orthogonality. Orthogonality refers to the perpendicularity of two vectors, meaning that their dot product is equal to zero. The Fundamental Theorem states that any vector can be expressed as a linear combination of orthogonal vectors, emphasizing the importance of orthogonality in vector spaces.

5. Can the Fundamental Theorem of Orthogonality be extended to functions?

Yes, the Fundamental Theorem of Orthogonality can be extended to functions in functional analysis. In this context, orthogonality refers to the concept of functions being perpendicular to each other, and the theorem states that any function can be expressed as a linear combination of orthogonal functions.

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