Let A and B represent two linear inequalities:
$A : a_1 x_1 + ... + a_n x_n \geq k_1$
$B : b_1 x_1 + ... + b_n x_n \geq k_2$
If A and B is unsatisfiable (does not have solution), does the following hold in general (the conjunction of two inequalities implies the summation of them )? If so, I am looking for a formal proof?
$A \land B \implies A + B$
$_1_1+...+_n_n \geq1 \;\; \land \;\; _1_1+..._n_n\geq _2 \implies _1_1+...+_n_n + _1_1+..._n_n \geq _1+_2 $
and then I would like to generalize the above theorem to summation of several inequalities.
My attempt: My intuition is that if A and B be unsatisfiable, there is a matrix of Farkas coefficient C such that the weighted sum of A + B would be zero, and leads to -1 > 0 contradiction. Since A and B are unsatisfiable, the conjunction would be false. Therefore $\bot \implies \bot$ which is a correct statement.
My question is how to generalise this proof for a system of linear inequalities $A : \bigwedge \Sigma_{i=1}^{n} a_i x_i\leq k_i \;\; \wedge \;\; \bigwedge \Sigma_{i=1}^{n} b_i y_i\leq l_i $
and
$B: \bigwedge \Sigma_{j=1}^{n} a_j x_j\leq w_j \;\; \wedge \;\; \bigwedge \Sigma_{j=1}^{n} b_j y_j\leq z_j $
This does not hold in general. Consider $A: x > 2$ and $B: x > 4$. Then $A+B: 2x > 6$ which is equivalent to $x > 3$. This cannot be written as some suitable combination of $A$ and $B$.