Problem in Eigensystem in Mathematica

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In summary, the conversation discusses using Mathematica to find the eigenvalues and eigenvectors of a 10x10 diagonalizable matrix. The matrix is given and the command used to find the eigenvalues and eigenvectors is explained. The conversation also mentions some symbols, such as # and &, and discusses their meaning in Mathematica. The purpose of the conversation is to gain a better understanding of these symbols and their use in Mathematica.
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mvww
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Hello.
In Mathematica, I'm trying to find the eigenvalues and eigenvectors of a 10x10 matrices that is diagonalizable for sure.
The matrix ix:
{{0, 0, 0, 0, -2 t, -2 t, -2 t, -2 t, 0, 0}, {0, 0, 0, 0, -t, t, -t,
t, 0, 0}, {0, 0, 2 U, 0, -t, t, -t, t, 0, 0}, {0, 0, 0, 2 U, -2 t,
2 t, -2 t, 2 t, 0, 0}, {-Sqrt[2] t, -t, -t, -Sqrt[2] t, U, 0, 0,
0, -t, -t}, {-Sqrt[2] t, t, t, Sqrt[2] t, 0, U, 0,
0, -t, -t}, {-Sqrt[2] t, -t, -t, -Sqrt[2] t, 0, 0, U,
0, -t, -t}, {-Sqrt[2] t, t, t, Sqrt[2] t, 0, 0, 0, U, -t, -t}, {0,
0, 0, 0, -t, -t, -t, -t, U, 0}, {0, 0, 0, 0, -t, -t, -t, -t, 0, U}}
where t and U are both Reals.

The command I use is: Assuming[t \[Element] Reals,
Assuming[U \[Element] Reals, Eigensystem[MATRIXNAME]]]

I'm getting some symbols that I don't know. For example, one of the eigenvalues is:
Root[8 t^2 U - 8 t^2 #1 - 8 Sqrt[2] t^2 #1 + 2 U^2 #1 -
3 U #1^2 + #1^3 &, 1]
What are these # and &? What does mean "Root[expression, 1]" ?

Regards,
Marcus.
 
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Related to Problem in Eigensystem in Mathematica

1. What is an eigensystem in Mathematica?

An eigensystem in Mathematica is a set of commands used to find the eigenvalues and eigenvectors of a given matrix. Eigenvalues are the numbers that, when multiplied with the eigenvectors, produce the same vector. In other words, they represent the scaling factor for the eigenvectors. This is useful in many scientific and engineering applications, such as solving systems of linear equations and analyzing the behavior of complex systems.

2. How do I solve a problem in the eigensystem in Mathematica?

To solve a problem in the eigensystem in Mathematica, you can use the built-in function Eigensystem[ ]. This function takes a matrix as its input and returns a list of eigenvalues and eigenvectors. You can also use the Eigenvalues[ ] and Eigenvectors[ ] functions separately to find the eigenvalues and eigenvectors, respectively.

3. Can Mathematica handle large or complex matrices in the eigensystem?

Yes, Mathematica has powerful algorithms that can handle large and complex matrices in the eigensystem. However, the time and memory required for the calculations may increase significantly as the size and complexity of the matrix increases. It is recommended to use efficient coding and techniques to reduce the computational load.

4. What if Mathematica returns an error in the eigensystem calculation?

If Mathematica returns an error in the eigensystem calculation, it is likely due to an input error, such as an invalid matrix or incorrect syntax. Check your input and make sure it is correct. If the error persists, consult the Mathematica documentation or seek help from online forums or communities.

5. Are there any alternatives to solving the eigensystem in Mathematica?

Yes, there are other software and programming languages that can solve the eigensystem, such as MATLAB, Python, and R. Each of these has its own set of functions and syntax for finding eigenvalues and eigenvectors. It is always beneficial to have a basic understanding of multiple tools to choose the most efficient one for your specific problem.

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