There are $n$ cities in a country, where $n>1$. There are railroads connecting some of the cities so that you can travel between any two cities through a series of railroads (railroads run in both direction.) In addition, in this country, it is impossible to travel from a city, through a series of distinct cities, and return back to the original city. We define the degree of a city as the number of cities directly connected to it by a single segment of railroad. For a city $A$ that is directly connected to $x$ cities, with $y$ of those cities having a smaller degree than city $A$, the significance of city $A$ is defined as $\frac{y}{x}$. Find the smallest positive real number $t$ so that, for any $n>1$, the sum of the significance of all cities is less than $tn$, no matter how the railroads are paved. Proposed by houkai
Problem
Source: 2020 Taiwan TST Round 2 Independent Study 3-2
Tags: combinatorics, Taiwan
27.05.2020 07:28
Is there an answer to this question? I've achieved 3/8 but it seems like that could be improved.
27.05.2020 07:40
Hard problem! We claim that the answer is indeed $\boxed{\frac38}.$ We will first consider an arrangement of cities and railroads that allows us to prove that $t \ge \frac38.$ Start by selecting a large positive integer $N$, and connect cities $c_1, c_2, \cdots, c_N$ with $N-1$ railroads so as to form a path $c_1 c_2 \cdots c_N.$ Now, for even $1 \le i \le N$, create two cities $d_i$ and $e_i$, connect $c_i$ and $d_i$ with a railroad, and connect $d_i$ and $e_i$ with a railroad. it's easy to verify that this construction forces $t \ge \frac 38.$ We will now turn to the harder task of proving $t \le \frac 38.$ Translate the problem into graph theory in the obvious manner. Suppose that there are $n$ vertices for some $n > 1.$ Let $d(u)$ denote the degree of any vertex $u$. Call any vertex tangy if its degree is strictly greater than $3.$ For an edge $e = uv$ of any graph, we will define $f(e)$ to be $0$ if $d(u) = d(v)$ and $\frac{1}{\max(d(u), d(v))}$ otherwise. It's not hard to see from double counting that the sum of the significances of the vertices is precisely equal to $\sum f(e)$, where the sum is over all edges. Therefore, it suffices to show that $\sum f(e) < \frac{3n}{8}$, which is exactly what we shall show. The following is the critical claim. Claim. For any edge $e = uv$, $f(e) \le \frac14 \left(\frac1x + \frac1y + \frac12 \right),$ where $x = d(u)$ and $y = d(v).$ Proof. If $x = y$ the above is immediate, so suppose that $x, y$ are distinct from now on. Furthermore, assume WLOG that $x > y.$ If $x < 4$ the above is easy to verify by hand. Now suppose that $x \ge 4.$ Then notice that $f(e) = \frac1x = \frac14 \left(\frac1x + \frac1x + \frac2x \right) \le \frac14 \left(\frac1x + \frac1y + \frac12 \right),$ where we used the facts that $\frac1x \le \frac1y$ and $\frac2x \le \frac12.$ $\blacksquare$ From the Claim, we obtain that: $$\sum f(e) \le \frac14 \sum_{\textit{edge uv}} \left( \frac{1}{d(u)} + \frac{1}{d(v)} + \frac12 \right) = \frac18 (n-1) + \frac{n}{4} < \frac38 n,$$ as desired. $\square$ (P.S. I tried induction for about two hours and felt that many of my approaches "barely failed," so would be interested in an inductive solution)
27.05.2020 19:23
Pathological wrote: (P.S. I tried induction for about two hours and felt that many of my approaches "barely failed," so would be interested in an inductive solution) Nice one! I have heard that there is an inductive proof, but I don't know the details. I personally solved it by solving an LP optimization :p So something like your solution but maybe uglier. At least that way I don't need to think XD
29.05.2020 18:57
This problem was proposed by me, and I have two solutions (not as clean as yours though) One of the solution is to notice that if we fix a root of the tree, we could simply replace all the siblings by one of the "best" child, so the degree of the nodes at a certain depth is a constant only related to the depth, and we can translate the statement into an inequality, which can be proved by induction.
05.05.2023 21:08
solution.