$$\frac{\left(\beta_{2}+\beta_{1}\right)^{\alpha_{1}+\alpha_{2}-1}B\left(\alpha_{1},\alpha_{2}\right)}{\beta_{1}^{\alpha_{1}}\beta_{2}^{\alpha_{2}}}=\frac{1}{\alpha_{1}\beta_{2}}{_{2}F_{1}}\left({1-\alpha_{2},1\atop 1+\alpha_{1}};-\tfrac{\beta_{1}}{\beta_{2}}\right)+\frac{1}{\alpha_{2}\beta_{1}}{_{2}F_{1}}\left({1-\alpha_{1},1\atop 1+\alpha_{2}};-\tfrac{\beta_{2}}{\beta_{1}}\right)$$
Where $B(\alpha_{1},\alpha_{2})=\frac{\Gamma\left(\alpha_{1}\right)\cdot\Gamma\left(\alpha_{2}\right)}{\Gamma\left(\alpha_{1}+\alpha_{2}\right)}$ is the Beta function
To me it's interesting because:
It has 4 independent parameters/variables.
It relates $\frac{\beta_{1}}{\beta_{2}} and \frac{\beta_{2}}{\beta_{1}}$.
The 1 in the upper term can be manipulated by Hypergeometric relations or Generalized Hypergeometric relations:
• DLMF 15.5: https://dlmf.nist.gov/15.5
• DLMF 16.3(i): https://dlmf.nist.gov/16.3.i
If this type of identity is known I would be interested in any information. Is it possible that the original probability problem (see below) could be a source of new Hypergeometric identities?
Background:
While kibitzing on a paper by Aaron Hendrickson I noticed an equivalent form arising from the calculation of conditional probabilities for the gamma-difference distribution. Specifically, for $Y\sim\mathcal{GD}(\alpha_{1},\alpha_{2},\beta_{1},\beta_{2})$ which is the distribution of the difference of independent gamma variables we have the following results.
$$\operatorname{pr}(Y\leq0)=C_{Y}\frac{\Gamma(\alpha_{1}+\alpha_{2})}{\beta_{2}\alpha_{1}}{_{2}F_{1}}\left({1-\alpha_{2},1\atop 1+\alpha_{1}};-\tfrac{\beta_{1}}{\beta_{2}}\right),$$
$$\operatorname{pr}(Y\geq0)=C_{Y}\frac{\Gamma(\alpha_{1}+\alpha_{2})}{\beta_{1}\alpha_{2}}{_{2}F_{1}}\left({1-\alpha_{1},1\atop 1+\alpha_{2}};-\tfrac{\beta_{2}}{\beta_{1}}\right),$$
where
$$C_{Y}=\beta_{1}^{\alpha_{1}}\beta_{2}^{\alpha_{2}}(\beta_{1}+\beta_{2})^{1-\alpha_{1}-\alpha_{2}},$$
for $\alpha_{1},\alpha_{2},\beta_{1},\beta_{2}>0$. If true then it follows that
$\operatorname{pr}(Y\leq0)+\operatorname{pr}(Y\geq0)=1$ (with an overlap of measure zero) and the equation is true.
As far as I can tell the statement is true numerically but I have no idea how to prove it in terms of Hypergeometric functions.