Calculation of Radon–Nikodym derivative

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Suppose the function $X \colon \mathbb{R} \longrightarrow \mathbb{R} \colon x \longmapsto X(x) : = x^2$.

I want to calculate the Radon–Nikodym derivative $\frac{\text{d}\lambda_X}{\text{d}\lambda}$, where $\lambda$ denotes the Lebesgue measure and $\lambda_X$ is the Pushforward measure of $X$ with respect to $\lambda$.

To calculate $\frac{\text{d}\lambda_X}{\text{d}\lambda}$ I first need to show that $\lambda_X \ll \lambda$. Now we have $$ \lambda(X^{-1}(a,b))=\lambda(\sqrt{a},\sqrt{b})=\sqrt{b}-\sqrt{a}$$ and $$ \lambda(a,b)=0 \Longrightarrow \lambda_X(a,b)=\lambda(\sqrt{a},\sqrt{b})=0$$ and hence $\lambda_X \ll \lambda$.

Now my questions are:

  • Is there a way to write the measure $\lambda_X$ explicitly down?
  • How can I finally calculate $\frac{\text{d}\lambda_X}{\text{d}\lambda}$?

Calculating $\frac{\text{d}\lambda_X}{\text{d}\lambda}$ means, finding a measurable function $\varphi \geq 0$ with $$\lambda_X(A) = \int_{A} \varphi \, \text{d} \lambda. $$

EDIT: By trying I found out that $\varphi(x)=2 \frac{1}{\sqrt{x}}$. Is this correct?

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If $X \colon \mathbb{R} \longrightarrow \mathbb{R^{+}}\bigcup\left\{0\right\}$ is defined as $ X(x) = x^2$, then observe that, for $b\ge a\ge 0$, $$ \begin{eqnarray*} \lambda_{X}\left(a\,,b\right){}:={}\lambda\left(X^{-1}\left(a\,,b\right)\right)&{}={}&\lambda\left(\left\{\left(-\sqrt{b}\,,-\sqrt{a}\right)\bigcup\left(\sqrt{a}\,,\sqrt{b}\right)\right\}\right)\newline &&\newline &{}={}&\lambda\left(-\sqrt{b}\,,-\sqrt{a}\right)+\lambda\left(\sqrt{a}\,,\sqrt{b}\right)\newline &&\newline &{}={}&2\left(\sqrt{b}-\sqrt{a}\right)\,. \end{eqnarray*} $$ Clearly, $\lambda_{X}$ is a non-negative, sigma-additive, sigma-finite set function, since $\lambda$ is and $X$ is Borel-measurable. And, $\lambda_X\ll\lambda$, since \begin{eqnarray*} \lambda\left(a\,,b\right){}={}0&{}\implies{}&b-a{}={}0\newline &{}\implies{}& b{}={}a\newline &{}\implies{}&\sqrt{b}{}={}\sqrt{a}\newline &{}\implies{}&2\left(\sqrt{b}-\sqrt{a}\right){}={}0\newline &{}\implies{}&\lambda\left(X^{-1}\left(a\,,b\right)\right)=0\,. \end{eqnarray*}

Furthermore, by the fundamental theorem of calculus and up to sets of measure zero,

$$ \begin{eqnarray*} \lambda_{X}\left(a\,,b\right)&{}={}&2\left(\sqrt{b}-\sqrt{a}\right){}\overbrace{=}^{\scriptstyle Riemann\ Integral}{}\int\limits^{\infty}_{0}{\bf{1}}_{\left\{(a, b)\right\}}(x)\,\dfrac{1}{\sqrt{x}}\ \mathrm{d}x\newline &&\newline &{}\overbrace{=}^{\scriptstyle Lebesgue\ Integral}{}&\int\limits_{\mathbb{R}_{\ge0}}{\bf{1}}_{\left\{(a, b)\right\}}(x)\,\dfrac{1}{\sqrt{x}}\ \mathrm{d}\lambda(x)\newline &&\newline &{}={}&\int\limits_{(a, b)}\,\dfrac{1}{\sqrt{x}}\ \mathrm{d}\lambda(x)\newline &&\newline &{}={}&\int\limits_{(a,b)}\dfrac{\mathrm{d}\lambda_{X}}{\mathrm{d}\lambda}\ \mathrm{d}\lambda\,. \end{eqnarray*} $$

Therefore, up to sets of measure zero, $$ \dfrac{\mathrm{d}\lambda_{X}}{\mathrm{d}\lambda}{}={}\dfrac{1}{\sqrt{x}}{\bf{1}}_{x>0}\,. $$