An integral involving beta function

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For $-1 \leq \theta \leq 1$ and $\nu > -1/2$, prove that the function $$ f(x; \theta,\nu) = \frac{(1-x^2)^{\nu -1/2}} {(1-2\theta x +\theta^2)^\nu B(\nu+1/2,1/2)} $$ is a valid probability density function for $-1 \leq x \leq 1$. Here $B(.,.)$ denotes the Beta function.

My attempt: I substituted $x=\sin(\alpha)$ in the integral and it reduced to $$ I= \frac{1}{B(\nu+1/2,1/2)}\int_{-\pi/2}^{\pi/2} \frac{\cos(\alpha)^{2 \nu}}{(1-2 \theta \sin(\alpha)+\theta^2)^\nu} d \alpha. $$ But how do I simplify the above integral to a Beta function? Notice that the integral turns out to be independent of $\theta$.

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Getting rid of everything unnecessary, we need to evaluate the following integral:

$$I( \nu, \theta) = \int_{-1}^1 \frac{(1-x^2)^{\nu -1/2}} {(1-2\theta x +\theta^2)^\nu }dx$$

We use the substitution:

$$x=-\cos \alpha$$

$$I( \nu, \theta) = \int_{0}^\pi \frac{\sin^{2\nu} \alpha} {(1+2\theta \cos \alpha +\theta^2)^\nu }d \alpha$$

There is a theorem, saying:

$$\int_{0}^\pi g \left( \frac{\sin^{2} \alpha} {1+2\theta \cos \alpha +\theta^2 } \right)d \alpha= \begin{cases} \int_{0}^\pi g \left( \sin^{2} \alpha \right)d \alpha, \quad \theta^2 < 1 \\ \int_{0}^\pi g \left( \frac{\sin^{2} \alpha}{\theta^2} \right)d \alpha, \quad \theta^2 \geq 1 \end{cases}$$

See for example Gradstein-Ryzhik 3.036. (the old edition I have has it wrong though, the values of $\theta$ are confused).

You have the first case. Thus:

$$I( \nu, \theta) = \int_{0}^\pi \sin^{2\nu} \alpha ~d \alpha=\frac{\sqrt{\pi} ~\Gamma\left(\nu+\frac{1}{2} \right)}{\Gamma\left(\nu+1 \right)}=B \left( \frac{1}{2},\nu+\frac{1}{2} \right)$$

Use the definition of the Beta function and the properties of the Gamma function to prove this.

See here for example https://en.wikipedia.org/wiki/Beta_function

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Playing with the integral, I found a solution which also proves @You're In My Eye's formula.

First, we define $\phi : [-\pi/2, \pi/2] \to \Bbb{R}$ by

$$\phi(t) = \frac{\cos^2 t}{1 - 2\theta \sin t + \theta^2}.$$

It is easy to check that $\phi$ has a unique maximum at $t_{\max} = \arcsin \theta$ with $\phi(t_{\max}) = 1$. Thus we can uniquely define two functions $t_{\pm} : [0, 1] \to \Bbb{R}$ satisfying the following conditions

$$ -\frac{\pi}{2} \leq t_{-}(y) \leq t_{+}(y) \leq \frac{\pi}{2} \quad \text{and} \quad \phi(t_{\pm}(y)) = y, \qquad \forall y \in [0, 1]. $$

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In fact, we can find a simple formula for $t_{\pm}$. To this end, let $s_{\pm} = \sin(t_{\pm})$. Then they solve

$$ 1 - s_{\pm}^2 = y(1 - 2\theta s_{\pm} + \theta^2) \qquad \Leftrightarrow \qquad s_{\pm} = \theta y \pm \sqrt{\smash[b]{(1 - y)(1 - \theta^2 y)}}. $$

Now here comes the trickiest part: the above expression for $s_{\pm}$ can be written as follows:

$$ s_{\pm} = \sqrt{\smash[b]{1 - (1-y)}} \cdot \theta \sqrt{\smash[b]{\vphantom{1}y}} \pm \sqrt{\smash[b]{1-y}} \sqrt{\smash[b]{1 - \theta^2 y}}. $$

Thus taking arcsine to both side and taking advantage of the sine addition formula, we have

$$ t_{\pm} = \arcsin(s_{\pm}) = \arcsin(\theta\sqrt{u}) \pm \arcsin\sqrt{1-y}. $$

Now we are almost done. For any nice function $g$ on $[0, 1]$, we get

\begin{align*} \int_{-\pi/2}^{\pi/2} g(\phi(t)) \, dt &= \int_{0}^{1} g(y) \, d (t_{+}(y) - t_{-}(y)) \\ &= \int_{0}^{1} g(y) \, d (2\arcsin\sqrt{1-y}) \\ &= 2 \int_{0}^{\pi/2} g(\cos^2 \alpha) \, d\alpha, \end{align*}

where the last line follow from the substitution $\alpha = \arcsin\sqrt{1-y}$. This is now equivalent to @You're In My Eye's formula and the computation is done.