Can a 4x4 matrix with two vanishing eigenvalues have a square root?

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Discussion Overview

The discussion revolves around whether a 4x4 matrix with two vanishing eigenvalues can have a square root. Participants explore definitions, provide examples, and discuss the conditions under which square roots of matrices exist, particularly focusing on diagonalizability and Jordan forms.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant questions the meaning of "vanishing eigenvalues," prompting clarification that it refers to eigenvalues equal to 0.
  • Another participant suggests that the zero matrix, which has vanishing eigenvalues, has an easily identifiable square root.
  • A different participant argues that constructing a diagonalizable form is necessary for finding a matrix square root, presenting a formula involving diagonalization.
  • In response, another participant challenges the necessity of diagonalizability, providing an example of a non-diagonalizable matrix that has a square root and discussing conditions related to Jordan forms.
  • It is noted that the existence of square roots for matrices can depend on the algebraic structure of the field over which the matrix is defined.

Areas of Agreement / Disagreement

Participants express differing views on the necessity of diagonalizability for finding square roots of matrices. While some assert it is required, others provide counterexamples showing that non-diagonalizable matrices can also have square roots. The discussion remains unresolved regarding the implications of vanishing eigenvalues on the existence of square roots.

Contextual Notes

The discussion includes assumptions about the algebraic closure of the field and the implications of Jordan forms, which are not fully resolved. The specific conditions under which square roots exist for matrices with vanishing eigenvalues are not conclusively established.

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If one [tex]4\times 4[/tex] matrix have two vanishing eigenvalues, does the matrix have a square root?
 
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What do you mean by vanishing eigenvalues?
 
"Vanishing" is pretty standard for "0" so I'll assume you mean that the matrix has one or more eigenvalues equal to 0. Uh- what about the 0 matrix? Isn't its square root pretty easy? And it has plenty of "vanishing" eigenvalues.

(I'm assuming that you meant "does the matrix have a square root?")
 
i don't know what's vanishing eigen values but

in order to make a squere root of a matrix you need to build first a digonizable form of the given matrix

then you have the formula
P^-1 *f(D) *P=f(A)
in this case your "f" is a squere root function
you find the P and P^-1 then make the root operation on each of the numbers in the
diagonal matrix then take these three matrices and their multiplication
is your resolt
 
transgalactic said:
in order to make a squere root of a matrix you need to build first a digonizable form of the given matrix
That's not true. There are many non-diagonalizable matrices that have square roots, e.g.

[tex]\left(\begin{array}{cccc}<br /> 0 & 1 & 0 & 0 \\<br /> 0 & 0 & 0 & 0 \\<br /> 0 & 0 & 0 & 1 \\<br /> 0 & 0 & 0 & 0\end{array}\right) = \left(\begin{array}{cccc}<br /> 0 & 0 & 1 & 0 \\<br /> 0 & 0 & 0 & 1 \\<br /> 0 & 1 & 0 & 0 \\<br /> 0 & 0 & 0 & 0\end{array}\right)^2.[/tex]

If we're working over an algebraically closed field (like the complex numbers), then we can get a nice set of necessary and sufficient conditions for the existence of square roots of nxn matrices by putting everything into Jordan form. Then it becomes evident that the problem really lies in the Jordan blocks corresponding to zero. For 4x4 matrices with "two vanishing eigenvalues" the situation is relatively straightforward; the example above is such a matrix.
 
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