Minimum eigenvalue of sums of positive semi-definite matrices

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Suppose $A_1,A_2$ are positive definite matrices such that $\lambda_{min}(A_1) \leq \lambda_{min}(A_2)$ where $\lambda_{min}(.)$ denotes the minimum eigenvalue. Let $B$ be a positive semi-definite matrix. Is it true that $\lambda_{min}(A_1+B) \leq \lambda_{min}(A_2+B)$?

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No. Counterexample: consider $A_1=\pmatrix{1\\ &2}$ and $A_2=B=\pmatrix{2\\ &1}$.