Past exam of the mathematics course of the University of Cambridge 2002 iii Paper 9 1 Solution Created 2026-10-03 Updated 2026-10-14
Write for a balanced complete multipartite blow-up with classes of size . In the nonvacuous range , the answer isWe prove both bounds, including the quantitative lower bound.
First, suppose a bipartite graph with parts , of sizes , has at least edges. For any integer , counting pairs consisting of an -subset of and a common neighbour in givesThe inequality follows from discrete convexity: is nondecreasing, so balancing integer degrees of vertices minimizes their sum. Consequently some hasThe product estimate uses for . This is a common neighbourhood from bipartite density bound.
We next prove by induction on that, for every fixed , a graph of order with minimum degree at least contains , for some and all sufficiently large . Impossible minimum-vertex degree parameters need no argument. For , take two copies of with adjacency given by . The preceding count with and , where , gives at least common neighbours. The selected vertices and their common neighbours are disjoint in , since a vertex is not its own neighbour. Selecting common neighbours gives .
For , the minimum degree hypothesis implies the induction hypothesis for , for example with excess . Thus contains with for a positive constant . Pair the vertices in its classes into disjoint transversal cliques , each of order . By the union bound, every has at leastcommon neighbours. Form an auxiliary bipartite graph between these cliques and the vertices, using common-neighbour incidence, and put . Choose small enough that and . The count above, with , gives cliques with at least simultaneous common neighbours. Their vertices form classes of size , and of those common neighbours form the last class. None of the common neighbours belongs to a selected clique, because that would require a loop. This proves the logarithmic clique blow-up from minimum degree assertion.
To pass from an edge count to minimum degree, put and . Repeatedly remove a vertex whose current degree of a vertex is below times the current order. If the process reaches order , its deleted edges and remaining edges giveThus . In particular, for a fixed sufficiently small , the process cannot reach : the displayed inequality would fail. It stops earlier with a subgraph of order and minimum degree at least . The induction just proved supplies , hence a lower bound on . In particular, the guaranteed part size tends to infinity.
For the upper bound, choose a fixed with and take a binomial random graph . Its edge count has expectation and variance . The Chebyshev inequality shows that with probability tending to one. The expected number of labeled copies of is at mostFor and , this tends to zero. The Markov inequality therefore shows that with positive probability both the required edge density holds and there is no such copy. This proves and completes the random obstruction to larger clique blow-ups argument.
Past exam of the mathematics course of the University of Cambridge 2005 iii Paper 11 1 Solution Created 2026-10-03 Updated 2026-10-14
Write for a balanced complete multipartite blow-up, with parts each containing vertices. Its occurrence is a subgraph condition, so additional internal edges in the host are harmless. The coefficient multiplying is essential: the PDF has , although it is lost in the converted TeX.
First prove the common neighbourhood from bipartite density estimate. Suppose a bipartite graph has parts of sizes and at least edges. For an integer , count incidences between -subsets of the first part and their common neighbours in the second. The discrete convexity of , with value zero for , givesThe convexity assertion follows directly from , which is increasing in ; smoothing two unequal degrees cannot increase the sum. In the binomial ratio every factor is at least , because . Consequently some satisfies
We prove the logarithmic clique blow-up from minimum degree by induction on . When , the degree hypothesis is impossible for a loopless graph, so any positive works vacuously. Assume . For , take two copies of the vertex set and join the copies of adjacent vertices. This bipartite graph has edge density of a bipartite graph at least . ChooseFor sufficiently large , , and the estimate supplies at least common neighbours. Choose of them. The two selected sets are disjoint in the original graph, since a selected vertex cannot be adjacent to itself. They give .
For , put . The same minimum degree of a graph exceeds . By induction there is a with , where . Pair the vertices of its parts into disjoint transversal cliques . Each has at leastcommon neighbours, by bounding the union of the non-neighbour sets of its vertices. Set . Form the bipartite graph whose first part is these cliques, with joined to a vertex when that vertex is a common neighbour of all of . It has density at least . ChooseFor large , and . The estimate gives selected cliques and at least common vertices. The selected cliques supply vertices in each of the original parts, and their common vertices supply the final part. No common vertex belongs to a selected clique, again because there are no loops. All required cross-part edges are present. Increasing to satisfy these finitely many inequalities completes the induction:
The Erdős-Stone theorem states that for a fixed graph with chromatic number ,The lower bound comes from the Turán graph , which cannot contain an -chromatic subgraph. To obtain the upper bound from our minimum-degree result, suppose , where and . Repeatedly delete a vertex of degree less than times the current order, where , until no such vertex remains. If the remaining order is , thenThus for large , with , and the remaining subgraph has minimum degree of a graph at least . It contains . A proper graph colouring of places its vertices in the parts once their size exceeds . This contradicts -freeness. Adjusting a fixed positive density margin absorbs the difference between and , proving the upper bound.
The six-vertex forbidden graph is the octahedral graph : the deleted matching in a graph gives its three independent pairs. Its chromatic number is three, soThe printed notation uses for the extremal-number argument while its defining condition forbids ; the answer uses that explicitly defined forbidden graph. For the strict finite inequality, take and add one edge inside its larger part, which has at least two vertices for . Every triangle in a graph then uses this added edge. However, contains two vertex-disjoint triangles in a graph, obtained by taking one vertex from each pair and then the other three. It therefore cannot occur in the constructed graph. Hence