Zwiebach: Decompose Matrices w/Traceless Symmetric Part

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Your Name]In summary, the decomposition of an arbitrary matrix into a traceless-symmetric part, an antisymmetric part, and the identity matrix times a constant is not limited to cases where the original matrix has all of its diagonal elements equal. It can also be applied to any arbitrary matrix, as long as the traceless-symmetric part is still traceless (i.e. the sum of its diagonal elements is zero).
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ehrenfest
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Homework Statement



On this page Zwiebach says that an arbitrary matrix can be decomposed into a traceless-symmetric part, an antisymmetric part, and the identity matrix times a constant. Isn't that only true when the original matrix has all off its diagonal elements equal, though?

EDIT: never mind; I figured it out-- the symmetric matrix matrix is traceless which does not mean that each diagonal element is 0, sorry

Homework Equations


The Attempt at a Solution

 
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Hello,

Thank you for your post. You are correct that the decomposition into a traceless-symmetric part, an antisymmetric part, and the identity matrix times a constant is only applicable when the original matrix has all of its diagonal elements equal. However, this is not the only case in which this decomposition can be applied.

The decomposition can also be used for any arbitrary matrix, even if the diagonal elements are not equal. In this case, the traceless-symmetric part will not necessarily have all of its diagonal elements equal to zero, but it will still be traceless (i.e. the sum of its diagonal elements will be zero). This means that the traceless-symmetric part can still be represented as a linear combination of the identity matrix and a constant.

I hope this clarifies any confusion you may have had. If you have any further questions, please don't hesitate to ask. Thank you for your interest in this topic.


 

1. What is the main concept behind Zwiebach's method of decomposing matrices with traceless symmetric part?

Zwiebach's method involves breaking down a given matrix into two parts: a traceless symmetric part and a trace part. The traceless symmetric part is then further decomposed into a linear combination of basis matrices, which allows for a simpler representation of the original matrix.

2. What is the significance of having a traceless symmetric part in a matrix?

The traceless symmetric part of a matrix contains important information about its symmetry and trace properties. By decomposing the matrix into this part, we can better understand and manipulate its underlying structure.

3. How does Zwiebach's method compare to other methods of matrix decomposition?

Zwiebach's method is unique in that it specifically targets the traceless symmetric part of a matrix. Other methods, such as singular value decomposition or eigenvalue decomposition, focus on different aspects of the matrix and may not provide the same insights.

4. Can Zwiebach's method be applied to any type of matrix?

Yes, Zwiebach's method is applicable to any square matrix, regardless of its size or properties. However, the simplicity and effectiveness of the method may vary depending on the specific characteristics of the matrix.

5. How is Zwiebach's method used in practical applications?

Zwiebach's method has been applied in various fields, including physics, engineering, and computer science. It has been used to analyze and manipulate matrices in applications such as quantum mechanics, signal processing, and machine learning.

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