If $A + A^t = 2I$ then $det(A) geq 1$












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$begingroup$



Let $A$ be a $n times n$ real matrix such that $$ A + A^t = 2I, $$ where $I$ is the $n times n $ identity matrix.



Prove that $det(A) geq 1$.




It is obvious that tr$(A) = n$. Furthermore, we also have that $$A - 2I = -A^t, $$ so we get that $$det(A-2I) = (-1)^n cdot det(A).$$



Now, we let $lambda_1, lambda_2, cdots, lambda_n in mathbb{C}$ be the eigenvalues of $A$, so we get that $$(lambda_1 - 2)(lambda_2 - 2) cdots (lambda_n - 2) = (-1)^nlambda_1lambda_2 cdots lambda_n, $$ but I couldn't derive anything about the product $lambda_1lambda_2 cdots lambda_n = det(A)$ (the only known thing is $lambda_1 + cdots + lambda_n = n$).



Also, I tried the same approach for $2 times 2$ and $3 times 3 $ matrices, but it didn't lead to anything (especially since the eigenvalues can be complex numbers).










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    11












    $begingroup$



    Let $A$ be a $n times n$ real matrix such that $$ A + A^t = 2I, $$ where $I$ is the $n times n $ identity matrix.



    Prove that $det(A) geq 1$.




    It is obvious that tr$(A) = n$. Furthermore, we also have that $$A - 2I = -A^t, $$ so we get that $$det(A-2I) = (-1)^n cdot det(A).$$



    Now, we let $lambda_1, lambda_2, cdots, lambda_n in mathbb{C}$ be the eigenvalues of $A$, so we get that $$(lambda_1 - 2)(lambda_2 - 2) cdots (lambda_n - 2) = (-1)^nlambda_1lambda_2 cdots lambda_n, $$ but I couldn't derive anything about the product $lambda_1lambda_2 cdots lambda_n = det(A)$ (the only known thing is $lambda_1 + cdots + lambda_n = n$).



    Also, I tried the same approach for $2 times 2$ and $3 times 3 $ matrices, but it didn't lead to anything (especially since the eigenvalues can be complex numbers).










    share|cite|improve this question









    $endgroup$















      11












      11








      11


      3



      $begingroup$



      Let $A$ be a $n times n$ real matrix such that $$ A + A^t = 2I, $$ where $I$ is the $n times n $ identity matrix.



      Prove that $det(A) geq 1$.




      It is obvious that tr$(A) = n$. Furthermore, we also have that $$A - 2I = -A^t, $$ so we get that $$det(A-2I) = (-1)^n cdot det(A).$$



      Now, we let $lambda_1, lambda_2, cdots, lambda_n in mathbb{C}$ be the eigenvalues of $A$, so we get that $$(lambda_1 - 2)(lambda_2 - 2) cdots (lambda_n - 2) = (-1)^nlambda_1lambda_2 cdots lambda_n, $$ but I couldn't derive anything about the product $lambda_1lambda_2 cdots lambda_n = det(A)$ (the only known thing is $lambda_1 + cdots + lambda_n = n$).



      Also, I tried the same approach for $2 times 2$ and $3 times 3 $ matrices, but it didn't lead to anything (especially since the eigenvalues can be complex numbers).










      share|cite|improve this question









      $endgroup$





      Let $A$ be a $n times n$ real matrix such that $$ A + A^t = 2I, $$ where $I$ is the $n times n $ identity matrix.



      Prove that $det(A) geq 1$.




      It is obvious that tr$(A) = n$. Furthermore, we also have that $$A - 2I = -A^t, $$ so we get that $$det(A-2I) = (-1)^n cdot det(A).$$



      Now, we let $lambda_1, lambda_2, cdots, lambda_n in mathbb{C}$ be the eigenvalues of $A$, so we get that $$(lambda_1 - 2)(lambda_2 - 2) cdots (lambda_n - 2) = (-1)^nlambda_1lambda_2 cdots lambda_n, $$ but I couldn't derive anything about the product $lambda_1lambda_2 cdots lambda_n = det(A)$ (the only known thing is $lambda_1 + cdots + lambda_n = n$).



      Also, I tried the same approach for $2 times 2$ and $3 times 3 $ matrices, but it didn't lead to anything (especially since the eigenvalues can be complex numbers).







      linear-algebra matrices eigenvalues-eigenvectors






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      asked Dec 24 '18 at 18:23









      CosminCosmin

      1,4811527




      1,4811527






















          2 Answers
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          12












          $begingroup$

          Note that $A - I$ is a real skew-symmetric matrix, so all of its eigenvalues are pure imaginary (or zero) and appear in complex conjugate pairs. Therefore the eigenvalues of $A$ are either $1$ or of the form $1 + c i, 1-c i$ for some $cinmathbb{R}$. Note that $(1+ci)(1-ci) = 1+c^2 geq 1$. Therefore



          $$det(A) = prod (1 + c^2) geq 1$$






          share|cite|improve this answer









          $endgroup$













          • $begingroup$
            Thanks! That's exactly what I just though about now, once I tried to write out the matrices and compute the sum.
            $endgroup$
            – Cosmin
            Dec 24 '18 at 18:44





















          8












          $begingroup$

          Let $A = I+B.$ One can immediately notice that $B$ is skew-symmetric or $B = -B^T.$ This means the eigenvalues of $A$ are precisely $1+lambda_j$, where $lambda_j$ are the eigenvalues of $B.$ Now, it's well-known that the eigenvalues of a skew-symmetric matrix comes in pairs $pm ilambda_j.$ This means that:
          $$det A = prod(1+lambda^2_j)geq 1.$$
          You are encouraged to fill in the details separating the cases where $n$ is odd or even.






          share|cite|improve this answer









          $endgroup$













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            2 Answers
            2






            active

            oldest

            votes








            2 Answers
            2






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes









            12












            $begingroup$

            Note that $A - I$ is a real skew-symmetric matrix, so all of its eigenvalues are pure imaginary (or zero) and appear in complex conjugate pairs. Therefore the eigenvalues of $A$ are either $1$ or of the form $1 + c i, 1-c i$ for some $cinmathbb{R}$. Note that $(1+ci)(1-ci) = 1+c^2 geq 1$. Therefore



            $$det(A) = prod (1 + c^2) geq 1$$






            share|cite|improve this answer









            $endgroup$













            • $begingroup$
              Thanks! That's exactly what I just though about now, once I tried to write out the matrices and compute the sum.
              $endgroup$
              – Cosmin
              Dec 24 '18 at 18:44


















            12












            $begingroup$

            Note that $A - I$ is a real skew-symmetric matrix, so all of its eigenvalues are pure imaginary (or zero) and appear in complex conjugate pairs. Therefore the eigenvalues of $A$ are either $1$ or of the form $1 + c i, 1-c i$ for some $cinmathbb{R}$. Note that $(1+ci)(1-ci) = 1+c^2 geq 1$. Therefore



            $$det(A) = prod (1 + c^2) geq 1$$






            share|cite|improve this answer









            $endgroup$













            • $begingroup$
              Thanks! That's exactly what I just though about now, once I tried to write out the matrices and compute the sum.
              $endgroup$
              – Cosmin
              Dec 24 '18 at 18:44
















            12












            12








            12





            $begingroup$

            Note that $A - I$ is a real skew-symmetric matrix, so all of its eigenvalues are pure imaginary (or zero) and appear in complex conjugate pairs. Therefore the eigenvalues of $A$ are either $1$ or of the form $1 + c i, 1-c i$ for some $cinmathbb{R}$. Note that $(1+ci)(1-ci) = 1+c^2 geq 1$. Therefore



            $$det(A) = prod (1 + c^2) geq 1$$






            share|cite|improve this answer









            $endgroup$



            Note that $A - I$ is a real skew-symmetric matrix, so all of its eigenvalues are pure imaginary (or zero) and appear in complex conjugate pairs. Therefore the eigenvalues of $A$ are either $1$ or of the form $1 + c i, 1-c i$ for some $cinmathbb{R}$. Note that $(1+ci)(1-ci) = 1+c^2 geq 1$. Therefore



            $$det(A) = prod (1 + c^2) geq 1$$







            share|cite|improve this answer












            share|cite|improve this answer



            share|cite|improve this answer










            answered Dec 24 '18 at 18:43









            ODFODF

            1,486510




            1,486510












            • $begingroup$
              Thanks! That's exactly what I just though about now, once I tried to write out the matrices and compute the sum.
              $endgroup$
              – Cosmin
              Dec 24 '18 at 18:44




















            • $begingroup$
              Thanks! That's exactly what I just though about now, once I tried to write out the matrices and compute the sum.
              $endgroup$
              – Cosmin
              Dec 24 '18 at 18:44


















            $begingroup$
            Thanks! That's exactly what I just though about now, once I tried to write out the matrices and compute the sum.
            $endgroup$
            – Cosmin
            Dec 24 '18 at 18:44






            $begingroup$
            Thanks! That's exactly what I just though about now, once I tried to write out the matrices and compute the sum.
            $endgroup$
            – Cosmin
            Dec 24 '18 at 18:44













            8












            $begingroup$

            Let $A = I+B.$ One can immediately notice that $B$ is skew-symmetric or $B = -B^T.$ This means the eigenvalues of $A$ are precisely $1+lambda_j$, where $lambda_j$ are the eigenvalues of $B.$ Now, it's well-known that the eigenvalues of a skew-symmetric matrix comes in pairs $pm ilambda_j.$ This means that:
            $$det A = prod(1+lambda^2_j)geq 1.$$
            You are encouraged to fill in the details separating the cases where $n$ is odd or even.






            share|cite|improve this answer









            $endgroup$


















              8












              $begingroup$

              Let $A = I+B.$ One can immediately notice that $B$ is skew-symmetric or $B = -B^T.$ This means the eigenvalues of $A$ are precisely $1+lambda_j$, where $lambda_j$ are the eigenvalues of $B.$ Now, it's well-known that the eigenvalues of a skew-symmetric matrix comes in pairs $pm ilambda_j.$ This means that:
              $$det A = prod(1+lambda^2_j)geq 1.$$
              You are encouraged to fill in the details separating the cases where $n$ is odd or even.






              share|cite|improve this answer









              $endgroup$
















                8












                8








                8





                $begingroup$

                Let $A = I+B.$ One can immediately notice that $B$ is skew-symmetric or $B = -B^T.$ This means the eigenvalues of $A$ are precisely $1+lambda_j$, where $lambda_j$ are the eigenvalues of $B.$ Now, it's well-known that the eigenvalues of a skew-symmetric matrix comes in pairs $pm ilambda_j.$ This means that:
                $$det A = prod(1+lambda^2_j)geq 1.$$
                You are encouraged to fill in the details separating the cases where $n$ is odd or even.






                share|cite|improve this answer









                $endgroup$



                Let $A = I+B.$ One can immediately notice that $B$ is skew-symmetric or $B = -B^T.$ This means the eigenvalues of $A$ are precisely $1+lambda_j$, where $lambda_j$ are the eigenvalues of $B.$ Now, it's well-known that the eigenvalues of a skew-symmetric matrix comes in pairs $pm ilambda_j.$ This means that:
                $$det A = prod(1+lambda^2_j)geq 1.$$
                You are encouraged to fill in the details separating the cases where $n$ is odd or even.







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered Dec 24 '18 at 18:44









                dezdichadodezdichado

                6,4591929




                6,4591929






























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