A function $c: \mathbb{R}^K_+ \xrightarrow{} \mathbb{R}_+$ is is said to be a cost function if
- The value of function $c$ at $y = \textbf{0}$ is $0$: $c(\textbf{0}) = 0$
- $c$ is continuous on the domain $\mathbb{R}^K_+$, strictly increasing and strictly convex on $\mathbb{R}^K_{+}$
- For any $p \in \mathbb{R}^K_{++}$, the set $B(p) = \{y \in \mathbb{R}^K_+| c(y) \leq p \cdot y\}$ is compact, the interior of $B(p)$ is nonempty.
Suppose a firm has cost function $c(\cdot)$ and $p\in \mathbb{R}^K_{++}$ is the market price. What sort of topological assumption I need to add to guarantee the existence of an interior solution to the profit maximisation problem? $$ \pi (p) = \max_{y\in\mathbb{R}^K_+} \left\{ p\cdot y - c(y) \right\} $$
Remark 1: From assumption (2) and (3), the existence of solution is guaranteed. Due to strict convexity, uniqueness is also guaranteed. However, the solution is probably not inside the interior of $\mathbb{R}^K_{+}$. I could not find an example for this at the moment.
Remark 2: My prototype cost function to look at is $c(y) = y_1^2+y_2^2$. However, the cost is not necessarily to be additive separable.