Positive semidefinite block matrix is PSD with negated off-diagonal blocks?











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I am trying to follow some notes that imply
$$
M=
begin{bmatrix}
A&B^T\B&C
end{bmatrix}
succeq 0
Longleftrightarrow
M'=
begin{bmatrix}
A&-B^T\-B&C
end{bmatrix}
succeq 0$$

and I want to prove this to myself (just the $Rightarrow$ direction because it's trivial to go the other way once one direction is proven).



So far I have that $A,Csucceq0$ by computing $x^TMx$ (for certain $x$) which is $geq0 forall x$ by definition. Therefore,



$$
begin{bmatrix}
x1&x2
end{bmatrix}
M
begin{bmatrix}
x1\x2
end{bmatrix}
=
underbrace{x_1^TAx_1}_{geq0}
+
underbrace{x_2^TCx_2}_{geq0}
+2x_2^TBx_1geq2x_2^TBx_1
$$



and



$$
begin{bmatrix}
x1&x2
end{bmatrix}
M'
begin{bmatrix}
x1\x2
end{bmatrix}
=x_1^TAx_1+x_2^TCx_2-2x_2^TBx_1geq-2x_2^TBx_1.
$$



Then I get stuck, but I feel like I'm very close to the conclusion










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    up vote
    0
    down vote

    favorite












    I am trying to follow some notes that imply
    $$
    M=
    begin{bmatrix}
    A&B^T\B&C
    end{bmatrix}
    succeq 0
    Longleftrightarrow
    M'=
    begin{bmatrix}
    A&-B^T\-B&C
    end{bmatrix}
    succeq 0$$

    and I want to prove this to myself (just the $Rightarrow$ direction because it's trivial to go the other way once one direction is proven).



    So far I have that $A,Csucceq0$ by computing $x^TMx$ (for certain $x$) which is $geq0 forall x$ by definition. Therefore,



    $$
    begin{bmatrix}
    x1&x2
    end{bmatrix}
    M
    begin{bmatrix}
    x1\x2
    end{bmatrix}
    =
    underbrace{x_1^TAx_1}_{geq0}
    +
    underbrace{x_2^TCx_2}_{geq0}
    +2x_2^TBx_1geq2x_2^TBx_1
    $$



    and



    $$
    begin{bmatrix}
    x1&x2
    end{bmatrix}
    M'
    begin{bmatrix}
    x1\x2
    end{bmatrix}
    =x_1^TAx_1+x_2^TCx_2-2x_2^TBx_1geq-2x_2^TBx_1.
    $$



    Then I get stuck, but I feel like I'm very close to the conclusion










    share|cite|improve this question


























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      I am trying to follow some notes that imply
      $$
      M=
      begin{bmatrix}
      A&B^T\B&C
      end{bmatrix}
      succeq 0
      Longleftrightarrow
      M'=
      begin{bmatrix}
      A&-B^T\-B&C
      end{bmatrix}
      succeq 0$$

      and I want to prove this to myself (just the $Rightarrow$ direction because it's trivial to go the other way once one direction is proven).



      So far I have that $A,Csucceq0$ by computing $x^TMx$ (for certain $x$) which is $geq0 forall x$ by definition. Therefore,



      $$
      begin{bmatrix}
      x1&x2
      end{bmatrix}
      M
      begin{bmatrix}
      x1\x2
      end{bmatrix}
      =
      underbrace{x_1^TAx_1}_{geq0}
      +
      underbrace{x_2^TCx_2}_{geq0}
      +2x_2^TBx_1geq2x_2^TBx_1
      $$



      and



      $$
      begin{bmatrix}
      x1&x2
      end{bmatrix}
      M'
      begin{bmatrix}
      x1\x2
      end{bmatrix}
      =x_1^TAx_1+x_2^TCx_2-2x_2^TBx_1geq-2x_2^TBx_1.
      $$



      Then I get stuck, but I feel like I'm very close to the conclusion










      share|cite|improve this question















      I am trying to follow some notes that imply
      $$
      M=
      begin{bmatrix}
      A&B^T\B&C
      end{bmatrix}
      succeq 0
      Longleftrightarrow
      M'=
      begin{bmatrix}
      A&-B^T\-B&C
      end{bmatrix}
      succeq 0$$

      and I want to prove this to myself (just the $Rightarrow$ direction because it's trivial to go the other way once one direction is proven).



      So far I have that $A,Csucceq0$ by computing $x^TMx$ (for certain $x$) which is $geq0 forall x$ by definition. Therefore,



      $$
      begin{bmatrix}
      x1&x2
      end{bmatrix}
      M
      begin{bmatrix}
      x1\x2
      end{bmatrix}
      =
      underbrace{x_1^TAx_1}_{geq0}
      +
      underbrace{x_2^TCx_2}_{geq0}
      +2x_2^TBx_1geq2x_2^TBx_1
      $$



      and



      $$
      begin{bmatrix}
      x1&x2
      end{bmatrix}
      M'
      begin{bmatrix}
      x1\x2
      end{bmatrix}
      =x_1^TAx_1+x_2^TCx_2-2x_2^TBx_1geq-2x_2^TBx_1.
      $$



      Then I get stuck, but I feel like I'm very close to the conclusion







      positive-semidefinite block-matrices






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      edited Nov 23 at 17:59

























      asked Nov 23 at 15:45









      Dan

      154




      154



























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