$A$ is a real $n\times m$ matrix and set $S\subseteq \mathbb{R}^n$ is defined as $$S = \{(x_1,\dots, x_n)\in \mathbb{R}^n\mid \forall(i,j)\in I.\; x_i< x_j\}\text{,}$$ where $I$ is a possibly empty index set of pairs of indices. The question is the following:
Is there an $\alpha\in\mathbb{R}^m$, such that $\alpha_i > 0$ and $A\alpha\in S$?
Background: there are $n$ films and $m$ persons. The number $A_{ij}$ tells us, how much does person $j$ like film $i$ (e.g., in the range from $1$ to $10$, $-5$ to $5$, or something similar: you can suggest additional assumptions that would help, I couldn't think of any).
Now, a new person comes, possibly with some preferences, e.g., film $1$ is better than $2$, film $7$ is better than $3$ and so on (hence $I = \{(2,1), (3,7), \dots\}$). The question is: can we aggregate the opinions of the first $m$ persons (create a weighted sum with the weights $\alpha_i$) in a way that would "agree" with the new person's preferences?
I really do not know, how to reduce this problem to linear system solving or something like that.
EDIT: As pointed out in the comments, the fact $A_{ij} \geq 0$ might help. Hence, from now on, we assume that $A_{ij}\geq 0$.