I'm studying Stephen Boyd's notes for EE 363, here.
In particular, I'm working through lecture 15, slide 9 on strict linear matrix inequalities.
An LMI is an expression of the form $G(x) = G_0 + x_1G_1 + \cdots + x_nG_n \geq 0$, where $G_i$ are symmetric $m \times m$ matrices and $x \in \mathbf{R}^n$. The inequality is understood relative to the positive semidefinite cone. If $G_0 = 0$, then $G(x)$ is homogeneous. That is, $G(\alpha x) = \alpha G(x)$ for $\alpha > 0$.
Consider the set of all $x$ defined by the matrix inequalities $F(x) \geq 0$ and $F_\text{strict}(x) > 0$, where $F$ and $F_\text{strict}$ are homogeneous in $x$. In the slide, he states that these inequalities can be replaced with $F(x) \geq 0$ and $F_\text{strict}(x) \geq I$. My question is how to show this.
I have been unable to prove that this set is equivalent to the one defined by the inequalities $F(x) \geq 0$ and $F_\text{strict}(x) \geq I$. I've unsuccessfully tried using the fact that if $A > 0$, then $A \geq \epsilon I$ for some $\epsilon > 0$ combined with the homogeneity of $F$ and $F_\text{strict}$.
Here's a related question which is essentially the same.
Thanks in advance!