For a real square matrix $S$, what can be said about $Tr(S^2)$?

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For a real square matrix $S$ with all eigenvalues on the imaginary axis, what can be said about $Tr(S^2)$? Since all eigenvalues of $S$ are on imaginary axis, $Tr(S)=0$ but I was wondering if anything more I can find about $Tr(S^2)$.



I know the following property is associated with the trace of the product of two positive semi-definite matrices $Xgeq0,Ygeq0$,



$Tr(X^TY)leqTr(X)lambda_max(Y)$ where $lambda_max(Y)$ denotes the maximum eigenvalue of $Y$. Since $S$ is not specified whether positive semi-definite or not, I cannot use the property. Is there any other property that I can use to say anything about $Tr(S^2)$?







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  • Why do you say that $tr(S^2)=0$? Take $S=beginpmatrix 0 & 1 cr -1 & 0endpmatrix$. Then $tr(S^2)=-2neq 0$.
    – Dietrich Burde
    Aug 2 at 21:00











  • Sorry it was a typo. I only meant what can be said about $Tr(S^2)$?
    – jbgujgu
    Aug 2 at 21:03










  • I think I found an answer and correct me if I am wrong and please let me know if you find anything new. Since $S$ is real and can be put in the real Jordan form $S=M^-1KM$ and therefore $Tr(S^2)=Tr(K^2)$. Since $K$ is a block diagonal matrix with each block being in the form $K=beginbmatrix0 & pmsigma\mpsigma & 0endbmatrix$, $K^2=beginbmatrix-sigma^2 & 0\0 & -sigma^2endbmatrix$ and from which $Tr(K^2)=-2sigma^2<0$.
    – jbgujgu
    Aug 2 at 21:08










  • If $ilambda$ is an eigen value of $S$, then $-lambda^2$is an eigen value of $S^2$. The trace being sum of eigen values means $textTr(S^2)=sum_kleft(-lambda_k^2right)<0$. So the trace will be a negative number. Of course $lambda=0$ also lies on the imaginary axis and it will change the result a bit.
    – Anurag A
    Aug 2 at 21:37















up vote
0
down vote

favorite












For a real square matrix $S$ with all eigenvalues on the imaginary axis, what can be said about $Tr(S^2)$? Since all eigenvalues of $S$ are on imaginary axis, $Tr(S)=0$ but I was wondering if anything more I can find about $Tr(S^2)$.



I know the following property is associated with the trace of the product of two positive semi-definite matrices $Xgeq0,Ygeq0$,



$Tr(X^TY)leqTr(X)lambda_max(Y)$ where $lambda_max(Y)$ denotes the maximum eigenvalue of $Y$. Since $S$ is not specified whether positive semi-definite or not, I cannot use the property. Is there any other property that I can use to say anything about $Tr(S^2)$?







share|cite|improve this question





















  • Why do you say that $tr(S^2)=0$? Take $S=beginpmatrix 0 & 1 cr -1 & 0endpmatrix$. Then $tr(S^2)=-2neq 0$.
    – Dietrich Burde
    Aug 2 at 21:00











  • Sorry it was a typo. I only meant what can be said about $Tr(S^2)$?
    – jbgujgu
    Aug 2 at 21:03










  • I think I found an answer and correct me if I am wrong and please let me know if you find anything new. Since $S$ is real and can be put in the real Jordan form $S=M^-1KM$ and therefore $Tr(S^2)=Tr(K^2)$. Since $K$ is a block diagonal matrix with each block being in the form $K=beginbmatrix0 & pmsigma\mpsigma & 0endbmatrix$, $K^2=beginbmatrix-sigma^2 & 0\0 & -sigma^2endbmatrix$ and from which $Tr(K^2)=-2sigma^2<0$.
    – jbgujgu
    Aug 2 at 21:08










  • If $ilambda$ is an eigen value of $S$, then $-lambda^2$is an eigen value of $S^2$. The trace being sum of eigen values means $textTr(S^2)=sum_kleft(-lambda_k^2right)<0$. So the trace will be a negative number. Of course $lambda=0$ also lies on the imaginary axis and it will change the result a bit.
    – Anurag A
    Aug 2 at 21:37













up vote
0
down vote

favorite









up vote
0
down vote

favorite











For a real square matrix $S$ with all eigenvalues on the imaginary axis, what can be said about $Tr(S^2)$? Since all eigenvalues of $S$ are on imaginary axis, $Tr(S)=0$ but I was wondering if anything more I can find about $Tr(S^2)$.



I know the following property is associated with the trace of the product of two positive semi-definite matrices $Xgeq0,Ygeq0$,



$Tr(X^TY)leqTr(X)lambda_max(Y)$ where $lambda_max(Y)$ denotes the maximum eigenvalue of $Y$. Since $S$ is not specified whether positive semi-definite or not, I cannot use the property. Is there any other property that I can use to say anything about $Tr(S^2)$?







share|cite|improve this question













For a real square matrix $S$ with all eigenvalues on the imaginary axis, what can be said about $Tr(S^2)$? Since all eigenvalues of $S$ are on imaginary axis, $Tr(S)=0$ but I was wondering if anything more I can find about $Tr(S^2)$.



I know the following property is associated with the trace of the product of two positive semi-definite matrices $Xgeq0,Ygeq0$,



$Tr(X^TY)leqTr(X)lambda_max(Y)$ where $lambda_max(Y)$ denotes the maximum eigenvalue of $Y$. Since $S$ is not specified whether positive semi-definite or not, I cannot use the property. Is there any other property that I can use to say anything about $Tr(S^2)$?









share|cite|improve this question












share|cite|improve this question




share|cite|improve this question








edited Aug 2 at 21:02
























asked Aug 2 at 20:55









jbgujgu

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  • Why do you say that $tr(S^2)=0$? Take $S=beginpmatrix 0 & 1 cr -1 & 0endpmatrix$. Then $tr(S^2)=-2neq 0$.
    – Dietrich Burde
    Aug 2 at 21:00











  • Sorry it was a typo. I only meant what can be said about $Tr(S^2)$?
    – jbgujgu
    Aug 2 at 21:03










  • I think I found an answer and correct me if I am wrong and please let me know if you find anything new. Since $S$ is real and can be put in the real Jordan form $S=M^-1KM$ and therefore $Tr(S^2)=Tr(K^2)$. Since $K$ is a block diagonal matrix with each block being in the form $K=beginbmatrix0 & pmsigma\mpsigma & 0endbmatrix$, $K^2=beginbmatrix-sigma^2 & 0\0 & -sigma^2endbmatrix$ and from which $Tr(K^2)=-2sigma^2<0$.
    – jbgujgu
    Aug 2 at 21:08










  • If $ilambda$ is an eigen value of $S$, then $-lambda^2$is an eigen value of $S^2$. The trace being sum of eigen values means $textTr(S^2)=sum_kleft(-lambda_k^2right)<0$. So the trace will be a negative number. Of course $lambda=0$ also lies on the imaginary axis and it will change the result a bit.
    – Anurag A
    Aug 2 at 21:37

















  • Why do you say that $tr(S^2)=0$? Take $S=beginpmatrix 0 & 1 cr -1 & 0endpmatrix$. Then $tr(S^2)=-2neq 0$.
    – Dietrich Burde
    Aug 2 at 21:00











  • Sorry it was a typo. I only meant what can be said about $Tr(S^2)$?
    – jbgujgu
    Aug 2 at 21:03










  • I think I found an answer and correct me if I am wrong and please let me know if you find anything new. Since $S$ is real and can be put in the real Jordan form $S=M^-1KM$ and therefore $Tr(S^2)=Tr(K^2)$. Since $K$ is a block diagonal matrix with each block being in the form $K=beginbmatrix0 & pmsigma\mpsigma & 0endbmatrix$, $K^2=beginbmatrix-sigma^2 & 0\0 & -sigma^2endbmatrix$ and from which $Tr(K^2)=-2sigma^2<0$.
    – jbgujgu
    Aug 2 at 21:08










  • If $ilambda$ is an eigen value of $S$, then $-lambda^2$is an eigen value of $S^2$. The trace being sum of eigen values means $textTr(S^2)=sum_kleft(-lambda_k^2right)<0$. So the trace will be a negative number. Of course $lambda=0$ also lies on the imaginary axis and it will change the result a bit.
    – Anurag A
    Aug 2 at 21:37
















Why do you say that $tr(S^2)=0$? Take $S=beginpmatrix 0 & 1 cr -1 & 0endpmatrix$. Then $tr(S^2)=-2neq 0$.
– Dietrich Burde
Aug 2 at 21:00





Why do you say that $tr(S^2)=0$? Take $S=beginpmatrix 0 & 1 cr -1 & 0endpmatrix$. Then $tr(S^2)=-2neq 0$.
– Dietrich Burde
Aug 2 at 21:00













Sorry it was a typo. I only meant what can be said about $Tr(S^2)$?
– jbgujgu
Aug 2 at 21:03




Sorry it was a typo. I only meant what can be said about $Tr(S^2)$?
– jbgujgu
Aug 2 at 21:03












I think I found an answer and correct me if I am wrong and please let me know if you find anything new. Since $S$ is real and can be put in the real Jordan form $S=M^-1KM$ and therefore $Tr(S^2)=Tr(K^2)$. Since $K$ is a block diagonal matrix with each block being in the form $K=beginbmatrix0 & pmsigma\mpsigma & 0endbmatrix$, $K^2=beginbmatrix-sigma^2 & 0\0 & -sigma^2endbmatrix$ and from which $Tr(K^2)=-2sigma^2<0$.
– jbgujgu
Aug 2 at 21:08




I think I found an answer and correct me if I am wrong and please let me know if you find anything new. Since $S$ is real and can be put in the real Jordan form $S=M^-1KM$ and therefore $Tr(S^2)=Tr(K^2)$. Since $K$ is a block diagonal matrix with each block being in the form $K=beginbmatrix0 & pmsigma\mpsigma & 0endbmatrix$, $K^2=beginbmatrix-sigma^2 & 0\0 & -sigma^2endbmatrix$ and from which $Tr(K^2)=-2sigma^2<0$.
– jbgujgu
Aug 2 at 21:08












If $ilambda$ is an eigen value of $S$, then $-lambda^2$is an eigen value of $S^2$. The trace being sum of eigen values means $textTr(S^2)=sum_kleft(-lambda_k^2right)<0$. So the trace will be a negative number. Of course $lambda=0$ also lies on the imaginary axis and it will change the result a bit.
– Anurag A
Aug 2 at 21:37





If $ilambda$ is an eigen value of $S$, then $-lambda^2$is an eigen value of $S^2$. The trace being sum of eigen values means $textTr(S^2)=sum_kleft(-lambda_k^2right)<0$. So the trace will be a negative number. Of course $lambda=0$ also lies on the imaginary axis and it will change the result a bit.
– Anurag A
Aug 2 at 21:37
















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