Past exam of the mathematics course of the University of Cambridge 2006 iii Paper 12 2 ii Solution Created 2026-10-03 Updated 2026-10-14
False in general. On take the rank-two starIt is an intersecting family of four sets and . The first four rank-two sets in colexicographic order areThe members and are disjoint. Thus colexicographic replacement can destroy intersection, despite its shadow-minimizing property.
Past exam of the mathematics course of the University of Cambridge 2006 iii Paper 12 2 Solution 2026-10-14
Identify the hypercube graph with subsets of , adjacent when they differ by one element. Write for a family's closed vertex neighbourhood. The simplicial order on the discrete cube orders first by size and then, within a rank, by lexicographic order: the least element of a symmetric difference belongs to the earlier set. The Harper theorem says that if is the initial simplicial segment with , thenEquivalently this minimizes the external vertex boundary at fixed cardinality. This is the vertex-isoperimetric assertion, distinct from the edge version in Question 3.
Here is the deduction of Kruskal-Katona theorem. For a family , adjoin every lower rank and set . For ,The corresponding simplicial initial segment is , where is the rank- lexicographic initial segment of size . Canceling the common lower-rank count in Harper's inequality gives . The rank-zero case is immediate by considering its two possible families.
To turn upper shadows into lower shadows, let and . This bijection reverses inclusion and changes rank to . If precedes in lex order, the largest element of belongs to , so precedes in colexicographic order. Also . Hence applying the upper-shadow conclusion to the transformed family proveswhere is the colex initial segment of the same size and rank as . This is the Kruskal-Katona lower-shadow theorem. A colex segment's shadow is itself a colex segment: split its sets by their largest element, giving a full initial block of the preceding ground set followed by an initial block with the new largest element. The same description holds one rank lower. Iteration therefore shows that colex segments minimize shadows at every lower rank. This proves the Harper theorem implies the Kruskal-Katona theorem deduction, including the necessary complement and coordinate reversal.
The Erdős-Ko-Rado theorem states that for , every intersecting family satisfiesThe family of all -sets containing a fixed point attains the bound. We use the standard convention of positive ranks here.
For the first proof, let be the complements of members of , at rank , and let be its rank- lower shadow. It is disjoint from , since would make two family members disjoint. Suppose . The colex rank- segment of that size contains every -set on and at least one set containing . Its rank- shadow therefore contains all old -sets and at least one new -set containing . The iterated Kruskal-Katona bound givesThen , impossible for disjoint subfamilies of rank . This proves the Erdős-Ko-Rado theorem from shadows.
For the second proof use the Katona circle method. In any cyclic ordering of the points, an intersecting collection of length- intervals has at most members. To prove this, rotate one selected interval to end at position , so it occupies . Intervals ending at miss it and cannot be selected. Among the remaining endpoints other than , pair with for . The two intervals in each pair are disjoint because , so at most one can be selected. Including the fixed interval gives at most .
Now count pairs consisting of a family member and a permutation in which it is a cyclic interval. A fixed -set has such permutations: choose its final position, its internal order, and the order of the remaining points. Each of the permutations contributes at most family intervals by the proved cyclic interval intersection bound. ThusThis is the required cyclic-ordering proof, with its interval lemma established explicitly.
Past exam of the mathematics course of the University of Cambridge 2007 iii Paper 12 1 Solution Created 2026-10-03 Updated 2026-10-14
For a nonempty -uniform set family , write its cardinality in its unique greedy binomial representationThe Kruskal-Katona theorem gives the exact minimum size of its lower shadow:Equality is attained by the colexicographic initial segment of the same cardinality. The empty family has empty shadow. In colexicographic order, precedes exactly when the largest point of belongs to . The greedy expansion exists by choosing each top argument as large as possible; Pascal's identity makes the next residual less than , forcing the next top argument below . This also proves uniqueness.
Here is a proof by UV-compression of the theorem, including the step that controls the lower shadow. For disjoint nonempty sets of equal size, let replace a member containing and avoiding by only when is absent. Other members stay. This UV-compression preserves cardinality. Allow only , and at each step choose a changing compression with as small as possible. Every smaller allowed UV-compression then fixes the current family.
For such a chosen UV-compression, we proveFirst let be a new shadow member, not in . It has the form for a moved member . If , choose with when . The smaller UV-compression with sets fixes , and therefore its target already belongs to . This would put in the old shadow, a contradiction. For the same target is simply , giving the same contradiction without a compression. Hence . Now is an old shadow member whose compression target is ; since was absent, it appears in the compressed shadow.
It remains to check that a surviving old shadow member is not removed on the right side. Such a removal could occur only for containing , avoiding , with absent from the old shadow. A witness in the compressed family must be a retained old member, since newly moved members avoid . If , retention of the eligible member forces its target to be in the old family, contrary to the absence of from its shadow. If , the smaller fixed compression just used forces into the old family; for this is itself. Again there is a contradiction. This proves the containment, and hence the chosen compression cannot increase lower shadow cardinality.
Each change strictly decreases the integer potential . The procedure therefore terminates. Its terminal family is an initial segment of colexicographic order: otherwise take an absent earlier set and a present later set . The choice is an allowed changing compression. Thus UV-compression transforms into the colexicographic initial segment of the same size without increasing its lower shadow.
Finally compute that shadow. The first block comprises all -subsets of and contributes shadow members. The next block has maximum point and its remaining points form a smaller colexicographic initial segment. Shadow members omitting are already in the first block's shadow; those containing it are counted by the lower shadow of that smaller initial segment. Recursion through the binomial representation gives precisely the displayed sum. This completes the proof.
To deduce the Erdős-Ko-Rado theorem, let and let be an intersecting family. Put and take the complement family . Its rank- lower shadow, obtained by deleting points, is disjoint from : membership of in that shadow would give for some . If , iterating the proved Kruskal-Katona theorem gives this shadow at least as many members as the corresponding colex shadow. The colex family contains every -set of and a further -set containing . Its rank- shadow therefore contains every -set of and at least one more -set containing . This applies also when , with no shadow operation. The two disjoint families would consequently have total size greater thana contradiction. Thus , attained by all -sets containing a fixed point.
For nonisomorphic colex shadow minimizers of rank two, take and . Its shadow has four singletons, as does the initial four-set colex segment . The first family is the edge set of a cycle graph; its four point degrees are all two. The second has point degrees , so no permutation makes them isomorphic.
For rank three, take andThe first lower shadow comprises the three pairs in and the six pairs joining that set to . The second shadow comprises every pair on except . Both therefore have size nine. Their point-degree multisets are respectively and , so again the two families are not isomorphic. These examples can be embedded in larger ground sets by adding unused points.
Past exam of the mathematics course of the University of Cambridge 2007 iii Paper 12 3 Solution Created 2026-10-03 Updated 2026-10-14
For , define the complete-intersection candidate familiesEach is a t-intersecting family, since two members have at least common points in the distinguished block. The cardinality form of the Ahlswede-Khachatrian theorem isA binomial coefficient is taken as zero if its lower argument is outside its usual range.
First reduce to left-compressed set families. One of the coordinate shifts of a set family, with , replaces by only when the target set is absent. It preserves cardinality and the property of being t-intersecting. To verify the latter, a pair of newly moved sets has the same intersection size as its old pair. If just one member moves and its intersection with a retained member decreases, the retained member contains and avoids . Its own shifted partner must already have belonged to the old family, otherwise it would have moved too. The old moved member and that shifted partner have the same intersection size as the allegedly bad new pair, a contradiction. Repeating changing shifts terminates because the sum of all point labels strictly decreases.
A generating family for a uniform set family is a collection of sets of size at most such thatUse the following small-support generating lemma for extremal intersecting families, the auxiliary result permitted here. If , , andthen every maximum-cardinality left-compressed set family that is t-intersecting has a generating family contained in . Reflection gives the corresponding right-end supporting interval for a right-compressed optimum. The inequality is strict.
The main ideas of the generating lemma are as follows. When , its hypothesis forces , making the support conclusion automatic. Otherwise . Choose inclusion-minimal compressed generators minimizing their furthest point . Partition generators containing by size. A pair whose intersection would fall below on deleting must fill and have sizes summing to . Compare the two replacements associated to those complementary size classes; counting their rank- extensions makes one replacement larger unless the sizes are equal. In that balanced case, put , where is even. Delete from generators avoiding a suitably chosen earlier point. Averaging supplies a proportion at least . The ratio of the guaranteed gain to the loss isIt exceeds one precisely when , implied by the stated hypothesis. This contradicts maximal cardinality; redundant generators are removed after each replacement. These extension counts explain both the support bound and its strict threshold.
We also need the compatibility bound for complementary generating families, which has a short direct proof. Write . If generates and generates , thenOtherwise contain their union in a set of size . Under this size is at least both and . Extend inside to sets of those respective sizes. Then , whereas , a contradiction.
The easy parameter ranges can now be disposed of. If , every two -sets intersect in at least points, and . This is a candidate value too: choose , for which the minimum possible intersection with is exactly . If and , Question 1 gives . If , complementation of uniform intersecting families turns the problem into an intersecting family of rank , on a ground set of size at least twice that rank. Question 1 then giveswith equality from that candidate, the family of all -sets avoiding the last point.
It remains to treat and . Put andSince , there is with . Take a maximum left-compressed set family . Its complement family is right-compressed and has parametersIt is maximum for those parameters, since complementation is a cardinality-preserving bijection between the two intersection problems. Put . The strict inequality impliesFor , multiplying out reduces this to , exactly ; for it reduces to . The reflected generating lemma therefore gives generators for supported on
First suppose . The original generating lemma supplies generators supported on . If every has size at least , then . The same conclusion follows if every has size at least : every complement member then has at least that many points in , forcing each original member to have at least points in . If neither condition holds, choose and . Thencontradicting the proved compatibility bound. Thus , and the candidate itself attains equality.
Now suppose . The earlier exceptional case excludes . Since , , so the original generating lemma gives supported on , while the same dual argument still gives supported on . If all have size at least , then . If all have size at least , then . Otherwise a pair with and violates compatibility. HenceBoth candidates are available, so this proves the maximum formula also at the boundaries.
For completeness, their equality and the maximizing intervals follow from a direct count, with no appeal to the theorem. Moving from to adds sets containing both new coordinates and exactly old block points, and loses sets containing neither new coordinate and exactly old block points. ThusIn the nontrivial range, the gain-to-loss ratio is . It exceeds, equals or falls below one according as is below, equal to or above . Since the thresholds decrease with when , the largest candidate is in each strict interval and the consecutive candidates tie at . This completes the proof of the cardinality theorem in every parameter range.
Past exam of the mathematics course of the University of Cambridge 2009 iii Paper 14 2 Solution Created 2026-10-03 Updated 2026-10-14
The Erdős-Ko-Rado theorem asserts that, for , every intersecting family satisfiesThe bound is attained by the set family of all -subsets containing one prescribed point. Here lexicographic order means that when the smallest element of their symmetric difference belongs to .
The first members in lexicographic order are exactly those containing . An initial segment longer than contains all of them and also the first member avoiding , namely . There is an -subset containing and disjoint from : choose its other elements from , which has elements. Consequently any longer lexicographic initial segment fails to be an intersecting family. Thus preservation of the intersection property upon replacing a set family by the equally large lexicographic initial segment proves the displayed bound.
Here is a direct UV-compression proof of that preservation statement. For disjoint nonempty sets with and , an eligible member contains and misses ; its proposed image is . The UV-compression moves to only if is not already present. Each eligible pair is either kept as a pair or moved from its later to its earlier member, so this operation preserves cardinality and uniformity and strictly decreases the sum of lexicographic order positions whenever it changes the set family.
The essential intersection-preserving lexicographic UV-compression lemma is that this operation preserves an intersecting family whenever all smaller lexicographically improving UV-compressions already leave that set family unchanged. Suppose instead that the compressed set family has disjoint members. At least one, say , must be newly moved. Both newly moved members would contain , so the other, , is a retained old member. Write for the old preimage. Since , we have and . Old intersectingness forcesIf , then was eligible for the same UV-compression. Since it was retained, was already present. But , contradicting old intersectingness.
Otherwise . Choose with and . This is a smaller improving pair, since . The old member is eligible for its UV-compression. The assumed stability therefore forces to be present already. Yet its portion outside misses , its remaining portion misses , and misses . Thus , the required contradiction. This proves the lemma, including the size-one case, where only the first alternative can arise.
Starting with , repeatedly choose a changing improving UV-compression with the smallest possible . The lemma applies at each step because every smaller improving UV-compression is then unchanged. Thus every intermediate set family is intersecting. The strictly decreasing nonnegative integer sum of lexicographic order positions ensures termination. If the terminal set family were not an initial segment, there would be a missing earlier than a present . Taking and gives equally sized nonempty disjoint sets with , and moves to the missing . That contradicts termination. The terminal set family is therefore exactly the equally large lexicographic initial segment, and it is intersecting. This proves the required lexicographic statement directly, and hence the Erdős-Ko-Rado theorem.
Past exam of the mathematics course of the University of Cambridge 2013 iii Paper 10 2 Solution Created 2026-10-03 Updated 2026-10-07
The Kruskal-Katona theorem states that a colexicographic initial segment minimizes the lower shadow of a uniform set family of prescribed size. Its numerical form is as follows. For , write the unique combinatorial number system expansionEvery of size satisfiesThe empty family has empty lower shadow. Equality is attained by the first -sets in colexicographic order, where the largest differing element belongs to the later set. Iterating the Kruskal-Katona theorem shows that the same colexicographic initial segment minimizes every iterated lower shadow.
For , the Erdős-Ko-Rado theorem givesfor an intersecting family . All -sets containing one prescribed point show that the bound is sharp.
For the proof from the Kruskal-Katona theorem, put and form the complement family . Let be its rank- iterated lower shadow. No member belongs to : containment in would give , impossible for an intersecting family of nonempty sets. HenceSuppose . The first members of the colexicographic order are all -sets of . Their rank- iterated lower shadow is all -sets of , since . The next -set contains and has an -subset containing , so taking even one more member strictly enlarges that iterated lower shadow. By the iterated Kruskal-Katona theorem, . Together with this contradicts Pascal's identity and the preceding inequality. This proves the Erdős-Ko-Rado theorem.
For the Katona circle method proof, fix a cyclic ordering of . A cyclic interval of length is specified by its final position. If no such interval belongs to , the bound below is automatic. Otherwise rotate one selected interval so that it ends at position , and thus occupies positions . Intervals ending at positions are disjoint from it and cannot be selected. Among the remaining endpoints, pair with for . The corresponding intervals are disjoint when , so at most one interval per pair is selected. Together with the interval ending at , this gives the cyclic interval intersection bound of selected intervals.
Choose a uniformly random permutation and read its positions cyclically. A fixed -set is a cyclic interval with probability : each cyclic position gives a uniformly distributed -set, and for the intervals are distinct. Summing over , the expected value of the number of selected intervals is . The cyclic interval intersection bound makes this at most , giving .
Finally apply the Katona circle method to an arbitrary antichain . If it contains or , it has exactly one member and the LYM inequality holds with equality. Otherwise all its members have sizes . In a fixed cyclic ordering, the cyclic intervals sharing a final position form a nested chain as their lengths increase. At most one of them can belong to the antichain. Summing over the final positions proves the cyclic interval antichain bound of intervals. Taking the expected value over a uniformly random permutation givesAfter division by , this is the LYM inequality proved by cyclic intervals. The case consists only of the empty set and is immediate.
Past exam of the mathematics course of the University of Cambridge 2014 iii Paper 11 2 ii Solution Created 2026-10-03 Updated 2026-10-06
Form the family . The nonnegative weights make it an up-set. It is an intersecting family, since two disjoint members would have combined weight exceeding one. The no-tie hypothesis makes it a self-dual set family: exactly one of belongs.
Let . Self-duality gives . The Erdős-Ko-Rado theorem gives for ; at this is immediate. If is even, .
The biased measure of a set family is . By independence of the Bernoulli random variables, it equals , since equality is excluded. Subtract and pair complementary levels. The complementary-layer bound for biased measure givesBoth factors are nonnegative for . The endpoints also follow directly, or by continuity. Thus the weighted Bernoulli majority bound is
Past exam of the mathematics course of the University of Cambridge 2014 iii Paper 11 2 i Solution Created 2026-10-03 Updated 2026-10-06
The Erdős-Ko-Rado theorem states that for , an intersecting family of -subsets of satisfiesThe bound is sharp: take all -sets containing one fixed element.
Use the Katona circle method. In any cyclic ordering of , the cyclic interval intersection bound permits at most members of to appear as length- intervals. To see the bound directly, rotate a chosen interval so that it ends at . Intervals ending at miss it. Pair the remaining endpoints except as , ; the two intervals in each pair are disjoint, so at most one is chosen. Including the fixed interval gives at most .
There are oriented cyclic orders. A fixed -set appears consecutively in of them: collapse it to a block, cyclically order that block with the other elements, and order its members internally. Double counting the compatible family-member/order pairs gives , proving the theorem.
Past exam of the mathematics course of the University of Cambridge 2015 iii Paper 11 3 Solution Created 2026-10-03 Updated 2026-10-06
We use the standard convention that a two-intersecting family satisfies for every pair of members, including . In particular every member has at least two elements.
An intersecting shadow lemma. If is an intersecting family of -sets, , thenHere is a proof, so no additional shadow theorem is being assumed. For , an elementary set shift replaces a member containing but not by exactly when that replacement is not already in the family. This preserves cardinality and the intersecting family property. The only potentially troublesome pair consists of a moved member and an unmoved member containing but not . But then 's replacement was already present, and the two original members obtained by using that replacement would have been disjoint if the new pair were disjoint.
Alsoso an elementary set shift cannot increase the lower shadow. For completeness, a shadow set containing neither or both has an unchanged witness in the original lower shadow. A shadow set containing but not is either originally present or the replacement of an originally present shadow set. If a shadow set contains but not , its witnessing member survived the elementary set shift; either that member contains both coordinates, or its replacement was already present. In either case both the shadow set and its replacement were originally present, so the former survives in the shifted lower shadow.
Repeated elementary set shifts terminate because the sum of the elements of all members decreases whenever the family changes. In the resulting shifted set family , if is a member and satisfies for every , then is also a member. Every has a prefix containing of its elements. Otherwise its sorted elements satisfy , and the first elements outside form a disjoint member componentwise no larger than , contradicting the intersecting family property.
Choose the first such prefix and reflect membership inside it:This has size . The set is componentwise no larger than : before the first excess, the prefix counts of are at most half the prefix length, and reflection only moves selected positions to the left. Thus belongs to . This ballot reflection injection is injective: in , the reflected prefix ends at the first position where unselected positions outnumber selected ones, and reflecting it again recovers . Consequently . Since elementary set shifts did not increase the lower shadow, this proves the intersecting shadow lemma.
The nonuniform two-intersecting family bound. Write . No member of can be the complement of a member of : such an inclusion would make the intersection of the two original members have at most one element. The intersecting shadow lemma therefore givesFor , sum this over . These pairs cover all nonempty levels, soEquality is attained by all subsets of size at least : any two intersect in at least two elements.
For , the same pairs cover every level except . Complements of the members of form an intersecting family of -sets, sinceFor , the permitted Erdős-Ko-Rado theorem bounds this middle level by . HenceEquality is attained by all -sets inside , together with all subsets of of size at least . Two members of the first group intersect in at least two elements; a member from each group intersects in at least two; two members of the second group intersect in at least three. For the only two-intersecting family is empty, which also gives equality. The empty-ground-set case is likewise immediate.
The pair-cover bound for a two-intersecting uniform family. If is nonempty, fix , with . Every member contains one of the pairs inside . Each fixed pair belongs to exactly -sets, so counting their union givesThe empty family is immediate; a nonempty two-intersecting family requires .
Witness-pair concentration for an intersecting uniform family. Let now be an intersecting family of -sets. If it is two-intersecting, the preceding bound, together with for , shows that any chosen has the required property. Otherwise there are members with . Every member not containing must contain some and some . These two sets of possible witnesses are disjoint. There are witness pairs, and each is contained in -sets. ThusFor , a nonempty intersecting family consists of one singleton; choose its element and the number avoiding it is zero. This is the natural separate interpretation of the degenerate case, where the printed binomial coefficient has lower index . For an empty family any works, provided as usual.
Past exam of the mathematics course of the University of Cambridge 2015 iii Paper 13 1 iii Solution Created 2026-10-03 Updated 2026-10-06
Use the identification of two-element subsets of with the edges of the complete graph . A colour class in the Kneser graph is an intersecting two-element set family, so its edges must pairwise meet.
Such a class is contained either in a star graph or in a triangle in a graph. Indeed, if not all edges have a common vertex, take two meeting edges . An edge not containing must then be . Any further edge meeting all three of is one of these three. Classes with at most two edges already lie in a star graph.
Assume that a graph colouring used colours. Classify classes as stars and the remaining classes as triangles. Delete a chosen centre of each star class, leaving vertices. Every edge between those remaining vertices must belong to a triangle class, of which each covers at most three edges. HenceButa contradiction. Thus . For the matching upper bound, assign a two-set the colour of its smaller element if that element is at most , and otherwise give it colour . The last class comprises the three pairs on the last three elements, an intersecting family. Consequently an entirely combinatorial argument gives
Past exam of the mathematics course of the University of Cambridge 2015 iii Paper 13 1 ii Solution Created 2026-10-03 Updated 2026-10-06
The Kneser graph has the -element subsets of as its vertices; two vertices are adjacent exactly when the corresponding subsets are disjoint. The Lovász theorem on Kneser graphs determines its chromatic number. A graph colouring is therefore a partition of the -sets into intersecting families.
First construct a graph colouring with colours. If a -set meets , give it the colour of its least element. Give every remaining -set colour . Two sets with one of the first colours share that colour's element. The last colour consists of -sets in a -element ground set, so it too is an intersecting family. Thus .
For the converse we establish the Gale hemisphere lemma explicitly, using a signed moment curve. Choose and putEvery open hemisphere contains at least labelled points . To see this, put . It is a nonzero polynomial of polynomial degree at most . First suppose none of the vanishes. Write . If only of the were positive, the negative signs would occupy at most consecutive blocks. There would be at leastadjacent pairs with both negative. Each such pair forces and to have opposite signs. The intermediate value theorem would give distinct roots of a polynomial, a contradiction.
If vanishes at of the sample points, then . A Lagrange interpolation polynomial of polynomial degree at most can be chosen with at all those points. For sufficiently small , the polynomial keeps every previously nonzero sign, has no zero sample values, and makes every previously zero value negative after multiplication by . Its positive count is exactly the positive count of , so the preceding argument proves the open hemisphere assertion also in this case. For , the labelled points alternate between the two points of ; distinct labels, rather than distinct positions, are what is needed.
Suppose now that had a graph colouring with at most colours, padding the palette with unused colours if necessary. For each colour , letThese are open sets, and the Gale hemisphere lemma says that they cover . If both and belonged to , two -sets of colour would lie in opposite open hemispheres. They would be disjoint, hence adjacent in the Kneser graph, contradicting the graph colouring. The Lusternik-Schnirelmann-Borsuk theorem excludes this cover. Therefore the lower bound matches the explicit colouring: