I am considering a function $f(x)$ defined by an integral as follows:
$$ f(x) = \int_0^1 dt \frac{\sqrt{t}}{(1 -xt^2)^{\beta}} ,$$
which depends on real $x< 1$ and real $\beta > 1$. First note that $f(0) = 2/3$ for all $\beta$. In terms of an asymptotic estimate of the singular behaviour for $x$ close to $1$, it can be shown that one has
$$ f(x) \sim A (1-x)^{1 - \beta} , $$
for some constant $A$.
Is there some way to evaluate or estimate what $A$ is? It seems from some numerics I did (which might be mistaken) that
$$A = (2 \beta - 2)^{-1}.$$
Edit: It can be show that this is correct by using the hypergeometric function and its known asymptotics to derive $A$, but this kind of seems like cheating so I am looking for a more elegant way to show that my guess for $A$ is correct.
Too long for a comment $$f(x) = \int_0^1 \frac{\sqrt{t}}{(1 -xt^2)^{\beta}}dt\overset{xt^2=s}{=}\frac{x^{-3/4}}2\int_0^x\frac{s^{-1/4}}{(1-s)^\beta}ds$$ Denoting $\epsilon=1-x$ $$f(x)=\frac{(1-\epsilon)^{-3/4}}2\int_\epsilon^1t^{-\beta}(1-t)^{-1/4}dt$$ Using the decomposition $$(1-t)^{-1/4}=1+\frac t4+\frac{5t^2}{32}+...$$ we can choose as many terms as we need - depending on $\beta$.
For example, for $\beta\in(1;2)$ we can write $$f(x)=\frac{(1-\epsilon)^{-3/4}}2\left(\int_\epsilon^1t^{-\beta}\Big((1-t)^{-1/4}-1\Big)dt+\int_\epsilon^1t^{-\beta}dt\right)$$ As the first integral is regular at $\epsilon=0$ $$=\frac{(1-\epsilon)^{-3/4}}2\left(\int_0^1t^{-\beta}\Big((1-t)^{-1/4}-1\Big)dt+o(1)+\int_\epsilon^1t^{-\beta}dt\right)$$ $$f(x)=\frac{(1-x)^{1-\beta}}{2(\beta-1)}+O(1);\,\,\beta\in(1;2)$$ For $\beta\in(2;3)$ we keep two terms in the first integral; namely, present $f(x)$ in the form $$f(x)=\frac{(1-\epsilon)^{-3/4}}2\left(\int_\epsilon^1t^{-\beta}\Big((1-t)^{-1/4}-1-\frac t4\Big)dt+\int_\epsilon^1t^{-\beta}\Big(1+\frac t4\Big)dt\right)$$ Again, the first integral is regular at $\epsilon=0$, and we have for two leading asymptotic terms ($\epsilon =1-x$) $$f(x)\sim\frac{(1-\epsilon)^{-3/4}}2\int_\epsilon^1t^{-\beta}\Big(1+\frac t4\Big)dt\sim\frac{(1-\epsilon)^{-3/4}}2\left(\frac{\epsilon^{1-\beta}}{\beta-1}+\frac{\epsilon^{2-\beta}}{4(\beta-2)}\right)$$ Decomposing also $(1-\epsilon)^{-3/4}=1+\frac34\epsilon+O(\epsilon^2)$ $$f(x)\sim\frac{(1-x)^{1-\beta}}{2(\beta-1)}+\left(\frac38\frac1{\beta-1}+\frac18\frac1{\beta-2}\right)(1-x)^{2-\beta}+O(1);\,\,\beta\in(2;3)$$ etc.