Applying a linear multistep method to the equation $y' = \lambda(y-g(t))$ yields $$ \sum_{j=0}^k \alpha_jy_{n−j} = \sum_{j=0}^k h \lambda \beta_j(y_{n-j}-g(t_{n−j})), $$ which we can rewrite as $$ \sum_{j=0}^k \beta_j(y_{n-j}-g(t_{n−j})) - \frac1{h\lambda} \sum_{j=0}^k \alpha_jy_{n−j} = 0. $$ In the limit that $h\lambda \to -\infty$, the second term goes to zero, so this becomes $$ \sum_{j=0}^k \beta_j(y_{n-j}-g(t_{n-j})) = 0, $$ which we can re-arrange as $$ y_n - g(t_n) = \frac{1}{\beta_0} \sum_{j=1}^k \beta_j(y_{n-j}-g(t_{n-j})). $$ Since this needs to be zero for all values of $y_{n-j} - g(t_{n-j})$, the coefficients $\beta_j$ ($j=1,\dots,k$) need to be zero.