What happens to the eigenvalues when a constant is multiplied to a matrix?

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SUMMARY

The discussion centers on the effect of multiplying a matrix by a constant on its eigenvalues. Specifically, when a 2x2 matrix A has eigenvalues +1 and -1, multiplying A by a constant m0 results in new eigenvalues of +m0 and -m0. This conclusion is derived from the determinant property, where if λ satisfies det(A - λI) = 0, then λ' = m0λ satisfies det(M - λ'I) = 0 for the matrix M = m0A. Thus, the eigenvalues of m0A are indeed m0 times the original eigenvalues.

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Cosmossos
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Hello,
Let's say I have a 2x2 matrix,we call it A with the eigenvalues +1 , -1.
Now I let's define that m=m0*A. (m0 is const).
Are the eigenvalues become +m0 and -m0?
If so why?
 
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Because if [tex]\lambda[/tex] satisfies [tex]det(A-\lambda I)=0[/tex] then [tex]\lambda'=m_{0}\lambda[/tex] satisfies [tex]det(M-\lambda' I)=0[/tex], with [tex]M=\lambda' A[/tex]
You simply multiply the equation by [tex]m^{2}_{0}[/tex] (and under the determinant it becomes just [tex]m_{0}[/tex])/
Therefore [tex]m_{0}\lambda[/tex] are eigenvalues of [tex]m_{0}A[/tex].
 

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