I have just started learning convex optimization. I am having little bit difficulties in some notations.
Currently I just encountered the following equation: $$ \boldsymbol{epi}(wf) = \left[ \begin{array}{ccc} I & 0 \\ 0 & w \end{array} \right]\boldsymbol{epi}(f) $$
where $w$ is positive and $f$ is convex. I have seen other matrix multiplications, but never encountered a matrix multiplication with a set, also how can I interpret it? Geometric interpretation would be helpful. Thanks.
Book reference page 79, 3.2.1 Nonnegative weighted sums
The notation is quite fine. Let $X$ be a set and $f:X\rightarrow D$ a function defined on $X$. Then \begin{equation} f(X):=\{f(x)\in D: x\in X\}. \end{equation} To the proof: Suppose $f:D\rightarrow \mathbb{R}$. The epigraph for $f$ is defined as \begin{equation} \operatorname{Epi}(f):=\{(x,a)\in D\times\mathbb{R}: f(x)\leq a\}. \end{equation} Therefore, for $w\in\mathbb{R}_{>0}$ \begin{equation} \operatorname{Epi}(w\cdot f):=\{(x,a)\in D\times\mathbb{R}: w\cdot f(x)\leq a\}. \end{equation} Now, suppose we have $(x,a)\in \operatorname{Epi}(f),$ i.e. $f(x)\leq a$. Then \begin{equation} \begin{pmatrix} \mathbf{1}&0\\0&w \end{pmatrix}\begin{pmatrix}x\\a\end{pmatrix}=\begin{pmatrix} x\\wa \end{pmatrix}, \end{equation} meaning $(x,wa)\in \operatorname{Epi}(w\cdot f)$.