The following is considered in Lary Guth's Polynomial Methods in Combinatorics, page 14. Let $L$ be a set of lines in $\mathbb R^3$. A point $x$ which lies in some set of three non-co-planar lines of $L$ is called a joint of $L$. Suppose $L$ has $6$ lines. Then, why is it that $L$ has at most $4$ joints?
This has been my approach so far:
Note that the tetrahedron has 6 edges and 4 vertices. If we take our $L$ to be the set of 6 lines containing each of the six edges of a tetrahedron, we get that each of its vertex is a joint as the three lines intersecting any vertex are non-co-planar.
Now, I want to argue that if one wants to maximize the number of joints possible for any set of six lines, the configuration of a tetrahedron is the best possible one.
The problem is that I don't know why or how to prove 3. Any suggestions will be really helpful :)
Let $G = (V,E)$ be a graph, and we're interested in the vertices which fulfill $deg(v) \geq 3$. We notice that $|E| = 6$ from the assignment, and we can use your earlier fact that a tetrahedron is a lower bound.
By the handshaking lemma, $\sum_{v \in V} deg(v) = 2 |E| = 12$. This is immediately fulfilled by $4$ joints. Therefore, a tetrahedron is an upper bound as well.