positive definite matrix plus positive semi matrix equals positive definite? I have a questions related to the positive definite[PD] matrix and positive semi definite[PSD] matrix 

I see and get the property about PD and PSD

1) PD + PD = PD
2) PSD+ PSD = PSD

how about the positive definite[PD] matrix plus positive semi definite matrix ? 

(I mean sum of positive definite matrix and positive semi definite matrix : PD + PSD)

Is it right to be positive definite matrix?



For example, If matrix  B is $R \times R$ and it is  sum of identity matrix $I$ 
and symmetry matrix A

that is, $B=I+A$

1) $I=\det(I)=1&gt;0 $ positive definite
2) $X^{T}AX=X^{T}L^{T}LX=U^{T}U=||U||\geqslant 0 $ positive semidefinite

I think that it would be positive definite, I am not so sure... 

So I would like to get some help from you

Thank you very much in advance !
Let us consider $A$ is PD and $B$ is PSD. Then $x^T(A + B)x = x^TAx + x^TBx &gt; 0$ for $0 \neq x \in R^n.$ Hence $A+B$ is PD matrix.
(1) PD+PD=PD is right. Let $A,B\in R^{p\times p}$ are PD. For any nonzero $x\in R^p$,
$$
x^\top(A+B)x=x^\top Ax+x^\top B x&gt;0\text.
$$
(2) PSD+PSD=PSD is not right. One example is that $A=\operatorname{diag}(1,0)$ and $B=\operatorname{diag}(0,1)$. Both of them are PSD, but $A+B=I$ is identity matrix.
(3) PD+PSD=PD should be right. It can be shown as (1).