This is very similar to, but different from, the following question: Limit of matrix inverse: $\lim_{\lambda \to \infty} (A + \lambda I)^{-1} = \mathbf{0}$?
I would like to know how to find the limit of $(A+tJ)^{-1}$ as $t$ tends to infinity. Here $A$ is an arbitrary square matrix, and $J$ is a matrix of "all ones" the same size as $A$.
Using the idea that the inverse of a matrix is its adjoint divided by its determinant, or $$(A+tJ)^{-1} = \frac{(A+tJ)^*}{|A+tJ|},$$ I've found that both the numerator and the denominator are linear functions of $t$, i.e. $\displaystyle \frac{(A+tJ)^*}{|A+tJ|} = \frac{A^* + tP}{|A| + tq}$. As long as $q \ne 0$, the said limit should be $P/q$.
For example, in the case of a 2x2 matrix $A = \left[ \begin{array}{cc} a & b \\ c & d \end{array} \right]$, I have: $$ \lim_{t \rightarrow \infty} (A+tJ)^{-1} = \lim_{t \rightarrow \infty} \frac{\left[ \begin{array}{cc} d & -b \\ -c & a \end{array} \right] + t \left[ \begin{array}{cc} 1 & -1 \\ -1 & 1 \end{array} \right]}{(ad-bc) + t(a+d-b-c)} = \frac{1}{a+d-b-c} \left[ \begin{array}{cc} 1 & -1 \\ -1 & 1 \end{array} \right] $$ (provided that $a+d-b-c \ne 0$)
But in general, is there a concise way to express the limit in terms of $A$?