Probability measure in $\mathbb{R}^1$: Continuous function $f$ that is positive everywhere $\ \int_{-\infty}^{\infty} f dx =1$ (total area under the curve equals 1). For visualization see here. Measure of a subset $S\subseteq \mathbb{R}^1$: Integral over that subset. There is a way to split measure into two equal parts(1/2 and 1/2)
Probability measure in $\mathbb{R}^2$: Continuous function $f:\mathbb{R}^2\to \mathbb{R}$ that is positive everywhere and $\ \iint_\mathbb{R^2}f d\textbf{x}d\textbf{y}=1.$ For visualization see here.
Equipartition theorem (Ceder 1964): Every probability measure $f$ in $\mathbb{R}^2$ can be divided into 6 equal parts by 3 concurrent lines.
Proof: For every direction $\vec{v}$ there exists a unique line $\ell$ parallel to $\vec{v}$ that partitions $f$ into two equal parts. $\ell$ varies continuously with $\vec{v}.$ Given $\vec{v}$ and given a point $x\in \ell(\vec{v})$ there exist 4 unique rays from $\ell$, two on each side, that partition $f$ into 6 equal parts. As $x$ moves forwards, the rays rotate backwards. For visualization see here. There is a unique point $x^*$ for which $r_1,r_4$ form a straight line. Let $\alpha$ be the clockwise angle from $r_2$ to $r_3$.$\alpha =\alpha(\vec{v})$ varies continuously with $\vec{v}.$ When $\vec{v}$ turns $180°$, $x^∗$ returns to the same place, $$r_1↔r_4, r_2↔r_3, α↔360°-α.$$ There must exist an intermediate value of $\vec{v}$ for which $\alpha(\vec{v})=180°.$ For visualization see here. Q.E.D
My question is how can Prove that every probability measure in $\mathbb{R^2}$ can be divided into 6 equal parts by 3 lines, 2 of which are parallel? For visualization see here.We can use the above Equipartition theorem.