Past exam of the mathematics course of the University of Cambridge 2007 ib Paper 3 11G i Solution Created 2026-09-24 Updated 2026-10-14
Write the cardinality of the finite group as , where is prime and . The Sylow theorems say that a Sylow subgroup of order exists; every p-group is contained in a Sylow subgroup; and all Sylow subgroups are conjugate subgroups. If is their number, thenEquivalently, for a Sylow subgroup , conjugation and the orbit-stabilizer theorem give , where is the normalizer. The containment statement is often included in the conjugacy form: every p-group lies in a conjugate of any fixed Sylow subgroup.
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 2007 iii Paper 12 4 Solution Created 2026-10-03 Updated 2026-10-14
View a set family as a set of vertices of the Boolean lattice. The operation acts independently on each pair , where : it keeps a full or empty pair and moves a sole upper member down. Thus downward coordinate compression preserves cardinality.
Fix a tracing set . If , compression leaves the trace of a set family on unchanged. If , write for the two sections of the old trace, according to absence or presence of . The absent- section of the new trace is . Its present- section is contained in : an upper member survives only when its lower partner was also present in the original family. ConsequentlyIn particular, downward coordinate compression cannot create new set shattering.
Repeatedly apply any changing downward coordinate compression. Each change strictly decreases , so the process terminates at a down-set with the same cardinality and with no larger trace on any . The Sauer-Shelah lemma says that a family shattering no -element set satisfiesIndeed, the compressed down-set also shatters no -element set. If it contained any member of size at least , all subsets of a -subset of that member would belong to the down-set, contradicting this restriction. Every member therefore has size at most , giving the bound. Equivalently, VC dimension at most gives size at most . The family of all sets of size at most attains this bound.
There is a different extremal example when . Toggle a fixed coordinate in the family of sets of size at most two:The symmetric difference is a bijection, so this family has members. On each tracing set , it simply toggles coordinate if ; thus it preserves trace cardinality and set shattering. A triple has seven trace patterns, not eight. The new family differs from the original one because it contains . For the specified cardinality is , so the entire power set is the unique family of that size; the different example requires .
For the final bound, let count pairs both in the family. Deleting coordinate identifies precisely these pairs, soSuppose every deletion lost at least two members, so for every . The trace inequality and preservation of cardinality show that after downward coordinate compression. The down-set contains the empty set and every singleton. For each , its second edge in direction has an upper endpoint of size at least two. Downward closure then supplies a pair . The pairs in therefore cover all coordinates, so at least pairs are needed. This proves two cube edges in every direction force many vertices:Taking the contrapositive gives the required answer:The threshold is sharp for every . Take the empty set, all singletons and pairs covering every coordinate. For even , use the disjoint pairs ; for odd , pair the first coordinates and add . This down-set has exactly members and at least two edges in every direction, so every -coordinate trace has size at most . Adding further members preserves those pairs and therefore preserves the failure whenever a larger cardinality is feasible. For , the putative counterexample cardinality is three, exceeding the size of the Boolean lattice; the sharpness construction naturally starts at .
Past exam of the mathematics course of the University of Cambridge 2007 iii Paper 26 6 Solution Created 2026-10-03 Updated 2026-10-14
The Ehrenfeucht-Mostowski theorem asserts that an infinite first-order structure has, for any prescribed total order , an elementary extension containing distinct order-indiscernibles . After a Skolem expansion, the Skolem hull of those generators is a model of the original complete theory. Every order automorphism of extends to a unique automorphism of this specified Skolem hull in the expanded language.
Choose a Skolem expansion of the original infinite structure: for each existential formula, select a witness function, including nullary functions when needed. Add constants for and the elementary diagram of a structure of , using separate names for its elements. Require for distinct indices, and for each formula in the Skolem language requirewhenever both index tuples are strictly increasing. These are the order-indiscernible sequence requirements.
Every finite fragment is satisfiable in . Choose a countably infinite sequence of distinct elements of . The fragment mentions only finitely many formulas and arities. Color increasing -tuples of that sequence by the finite vector of truth values of its relevant -ary formulas. The Ramsey theorem supplies an infinite homogeneous subsequence; repeat for the finitely many arities. Assign the finitely many named to distinct elements of the final homogeneous subsequence in increasing index order. The fixed finite part of the elementary diagram of a structure already holds in . By the compactness theorem proved in Question 5, the full set of requirements has a model , giving the required elementary extension and order-indiscernible sequence.
Let comprise all values of Skolem-language terms in finitely many . It is closed under the witness functions. If for parameters in , the specified witness function supplies a witness in . Induction on formulas therefore gives ; its reduct is a model of . For infinite , its cardinality is at most and at least .
For an order automorphism , defineRewrite any finite list of indices in increasing order, allowing a term to repeat or omit variables. The order-indiscernible sequence property transfers every equality between terms and every relation among their values, making this definition well defined and elementary. Applying gives its inverse. All of is generated by the and the named Skolem functions, so an automorphism extending must have precisely this action. Thus , with uniqueness in the Skolem expansion. This uniqueness need not hold in the unexpanded reduct.
Past exam of the mathematics course of the University of Cambridge 2007 iii Paper 26 7 Solution Created 2026-10-03 Updated 2026-10-14
A measurable cardinal is an uncountable cardinal carrying a nonprincipal ultrafilter on that is -complete: intersections of fewer than members of remain in . An elementary embedding preserves truth of every first-order formula, with its parameters carried along by .
The identity is always an elementary embedding of the universe into itself. The substantive question concerns a nonidentity embedding. In ZFC, the Kunen inconsistency theorem givesHere, as usual for class embeddings, restrictions to sets and the recursively defined critical sequence are available. We give the stationary-set proof, including its partition ingredient.
Suppose such a existed. It has a least moved ordinal , its critical point of an elementary embedding. To see why some ordinal must move, if all ordinals were fixed, induction on rank would fix every set: membership of in is equivalent to membership of in once every lower-rank is fixed. A rank segment containing a moved set would then be fixed pointwise, a contradiction. The critical point is an uncountable cardinal. All finite ordinals and are definable and fixed. If had cardinality , a bijection would be carried to a surjection whose range still consists exactly of the fixed ordinals below , impossible since .
Put , and . Applying to this Kunen critical sequence shifts it by one, so . Elementarity also gives ; write .
We need a stationary partition at a successor cardinal. If is stationary, choose bijections for . For each , on the stationary tail the function is regressive. The Fodor lemma supplies a stationary fiber with constant value . Some value occurs for many , since a union of sets each of size at most cannot have size . For distinct such , their fibers are disjoint: cannot equal two different ordinals. These fibers yield disjoint stationary subsets; include any leftover points in one cell. Grouping cells also gives a partition into any nonzero number at most .
For completeness, the Fodor lemma used here follows from diagonal intersections of clubs. If a regressive function had no stationary fiber, choose a club set disjoint from each fiber. The diagonal intersection is club by regularity and closure. A point in its intersection with would belong to , contradicting the choice of that club.
The set is stationary: inside any club choose a strictly increasing countable sequence, whose supremum still lies below the regular uncountable and belongs to the club. Partition it as . Its image is another stationary partition of the same .
The set is club. Closure is immediate. To get a member above any given ordinal, repeatedly bound the images of all earlier ordinals and take a countable supremum; regularity of keeps each bound below . Choose . Since , a countable cofinal sequence in and give : the image sequence remains below by closure under , and .
But for some . Applying and using gives , contradicting its membership in the disjoint cell . This proves the assertion. The use of axiom of choice in the cardinal and stationary-partition arguments matters; the conclusion here is explicitly in ZFC.
Past exam of the mathematics course of the University of Cambridge 2007 iii Paper 88 2 ii Solution Created 2026-10-03 Updated 2026-10-14
A Freiman 2-isomorphism is an injective map onto its image preserving pair-sum equality in both directions, with repeated summands allowed. Put , so , , and . We prove the half-size cyclic Freiman model with a sharp difference-set bound. Assume ; for an empty set the conclusion is immediate.
Choose an odd auxiliary prime large enough that reduction modulo is injective on and no nonzero element of reduces to zero. Choose a multiplier uniformly in . The forbidden residues areThey form a symmetric set, exclude zero since , and have cardinality at most . For each nonzero , the product is uniform on the nonzero residues. Moreover, is the same event as , so one need only sum over the opposite pairs. The union bound givesFix a multiplier avoiding all forbidden events. The use of opposite pairs is what achieves the threshold without an extra factor of two.
Represent each by an integer . Partition these residues into the two half-intervalsAt least half of has representatives in one of them; call this subset . Both intervals have diameter less than , so for the integersatisfies .
Past exam of the mathematics course of the University of Cambridge 2007 iii Paper 9 1 Solution Created 2026-10-03 Updated 2026-10-14
Assume is nonempty, as is necessary for a probability measure to exist. Give its isometry group the uniform metricEvery distance-preserving self-map of a compact metric space is onto. Indeed, if , then , and for the iterates satisfy . This infinite separated set contradicts compactness. Consequently is a group under composition, with the identity and inverses again isometries.
The metric is invariant under both left and right multiplication: left invariance uses preservation of distances, and right invariance uses surjectivity. Inversion is an isometry for , and proves continuity of multiplication. Moreover, is compact. A sequence of isometries has a subsequence converging at every point of a countable dense subset of , by a diagonal argument. Their common Lipschitz constant and finite epsilon-nets of make this subsequence uniformly Cauchy. Its uniform limit preserves distances and is onto by the preceding argument. Thus is a compact metrizable topological group. A transitive group action means that for every some has .
We construct the invariant Borel probability measure directly. The Hall marriage theorem says that a finite bipartite graph with equal-sized vertex classes has a perfect matching precisely when every subset has at least neighbours in . Its following consequence is useful. If are -separated subsets of maximum cardinality in a compact metric space, join points whose distance is less than . If some had fewer than neighbours, replacing those neighbours in by would produce a larger -separated set. This contradicts maximal cardinality. Hence there is a bijection between and moving each point by less than .
Choose and maximum-cardinality -separated sets . Such sets exist: a finite covering by balls of radius less than bounds every separated set's cardinality. Fix and define the empirical probability measuresFor let , which tends to zero with by uniform continuity. For every , left invariance of makes another maximum-cardinality separated set. Match it to as above. ThenThe allowed compactness of probability measures on a compact metric space supplies a subsequence converging to in the weak-star topology. Passing to that limit for each fixed gives . The same subsequence works for every , since the displayed estimate held for all of them before taking the limit.
For uniqueness, put . For , right invariance of lets us match with . Transitivity therefore gives the uniform estimate for every . If is any invariant Borel probability measure, thenTwo invariant probability measures consequently differ on the integral of by at most , hence agree on every continuous function. Continuous functions determine Borel probability measures on a compact metric space, so the invariant probability measure exists and is unique.
Past exam of the mathematics course of the University of Cambridge 2007 iii Paper 9 4 Solution Created 2026-10-03 Updated 2026-10-14
For a -dimensional normed vector space, with unit ball and John ellipsoid , its volume ratio isIt is at least and invariant under invertible linear coordinate changes.
For , the unit ball has volume : its intersection with each orthant is the standard simplex of volume . Its John ellipsoid is . To verify maximum volume, let be any centered inscribed ellipsoid. For each sign vector , containment gives . Averaging over independent Rademacher random variables yields . The arithmetic-geometric mean inequality for its squared singular values gives . The scalar matrix attains this bound because . Centered ellipsoids suffice: if is contained in the symmetric convex unit ball, averaging it with gives the centered copy with the same volume.
The subsequent assertion for an arbitrary -dimensional space is false as printed. Here is a counterexample independent of any asymptotic section theorem. Take . Its John ellipsoid is : an inscribed has every row of of Euclidean length at most , so the Hadamard inequality gives , attained by . Let be any -dimensional subspace and an orthonormal basis of it. The random unit vectorhas . Since for each coordinate , the moment-generating function bound for independent Rademacher random variables givesChoose ; the latter probability is at most , so some unit vector in has . The proposed section inequality would therefore forceThus even one half-dimensional section cannot have the printed universal constant.
The valid orthogonal splitting with bounded volume ratio is that may depend on , and suffices. This supplies a dimension-independent constant for the preceding case, or whenever is bounded uniformly. We prove the complete qualified assertion, including its epsilon-net ingredient.
In John position, . Polar integration of the radial function giveswhere is normalized spherical measure.
A maximal -separated subset of is an epsilon-net. Balls of radius about its points have disjoint interiors and lie in the ball of radius . Comparing volumes bounds its cardinality by . Finite existence follows from this packing bound, and maximality proves the net property without assuming a separate covering theorem.
Choose two orthogonal -dimensional subspaces and one such net on each unit sphere. Rotate both by a common uniformly distributed orthogonal matrix . This distribution can be obtained from Question 1 applied to the compact orthogonal group with its Frobenius metric; left and right multiplication are transitive isometries. Consequently is uniformly distributed on for every fixed unit vector . The union bound shows that the probability that some rotated net point has norm less than is at mostSet . Because , the bracket is at most , and twice its th power is less than for every . Some rotation therefore makes every point of both nets have norm at least .
The triangle inequality and imply that is -Lipschitz for the Euclidean metric. Every unit vector of or is within of a good net point and thus has norm at least . By homogeneity, on both orthogonal subspaces,For the first computation gives the absolute choice . The missing bounded-volume ratio restriction is essential; the literal unrestricted assertion cannot be proved.
Past exam of the mathematics course of the University of Cambridge 2008 ia Paper 4 7D b Solution Created 2026-09-24 Updated 2026-10-14
Suppose . Then modulo the prime number , so Fermat's little theorem gives . But makes odd, and thereforeThis contradicts , since is odd. Thus is not a quadratic residue modulo . Apply part (a) to the finite field : the pairs with the given operations form a field, and there are choices for each coordinate, so its cardinality is .
Past exam of the mathematics course of the University of Cambridge 2008 iii Paper 16 2 ii Solution Created 2026-10-03 Updated 2026-10-14
We first prove the needed Petridis minimal-growth lemma. For finite nonempty sets , choose a nonempty minimizing . Thus for every , including the empty set. For any finite , defineThe sets partition . If , then for some , and therefore . The newly contributed portion of consequently has size at mostSum over to obtain . Apply this successively with to get .
Use . The hypothesis implies , so . We also prove the Ruzsa triangle inequality: for finite nonempty ,For each , fix with . The map is injective: summing its coordinates recovers , and then its first coordinate recovers . This proves the inequality.
Apply it with and . Both right-hand factors have cardinality , givingThus . This is the required case of the Plünnecke-Ruzsa inequality, proved here using the minimal-growth argument and the explicit injection. If is empty the conclusion holds directly.
Past exam of the mathematics course of the University of Cambridge 2009 iii Paper 13 4 Solution Created 2026-10-03 Updated 2026-10-14
We take , as is necessary for the assertion. The nonvacuous cases have and . Put andWe prove a lower bound for by transferring small sumset growth through algebraic operations on the scalars. This gives a self-contained polynomial skew-sumset expansion over a prime field proof using the permitted Ruzsa triangle inequality, Ruzsa covering lemma and Plünnecke-Ruzsa inequality.
Since , choose . The bound and the mixed-set Plünnecke-Ruzsa inequality giveIn particular and . Here repeated-set sums such as allow independent choices from each copy.
For a scalar , write , and put for the difference set. The Ruzsa covering lemma gives with . Indeed choose a maximal family of disjoint translates , with ; counting their union bounds the family size, and maximality forces every remaining translate to meet one of them.
For any , the containments and give, after covering each copy of ,For the second bound, specifically , and . The Ruzsa triangle inequality also gives , so . These are the closure bounds for small skew-sumset scalars.
We next prove a growth lemma for the scalar sets. For with , letIf , then is not contained in : otherwise equal cardinality would make invariant under addition of one, which generates the entire prime field. Choose . The map on is injective. Indeed a collision with different second coordinates would express as a ratio of two differences from , while equal second coordinates force equal first coordinates. Clearing the nonzero denominator puts its image insideso the latter set has at least elements. Here is the product set, and denotes three independent product terms minus three others, not multiplication by the scalar three.
If , let count the collisions with all four variables in . Summing over givesThe first term comes from equal second coordinates, which force equal first coordinates. For unequal second coordinates, each quadruple determines exactly one scalar. Some consequently satisfies . The Cauchy-Schwarz inequality on the representation counts givesRepresenting as a ratio from and clearing its denominator embeds a dilate of this sumset in , padding with the same product in the positive and negative sums. We have proved the quadratic growth of a sixfold product difference set estimate
Starting from , define . ChooseFor , the growth lemma implies . To see the constants explicitly, put . Then and . Induction gives , and the chosen makes the exponent at least one.
Every has . If on , the closure bounds show that each product has exponent at most , its negative at most , and a sum of six such terms has exponent at most . Thus, withwe have for every . The integer depends only on .
Now apply the collision count to instead of . Summing over all scalars gives at most . Since , some has collision count at most . The Cauchy-Schwarz inequality therefore givesIt follows thatFor this gives , proving the desired positive exponent for all sufficiently large primes.
For completeness, the same conclusion with a possibly smaller exponent holds for the remaining primes. Choose an integerIf , choose any nonzero . We have . If , all its translates for would coincide. Two distinct such would make invariant under a nonzero translation, forcing , a contradiction. Thus by the definition of the second exponent. Together with the large-prime case this provesPositivity of the parameters cannot be dropped: at , taking prevents any expansion; at , the allowed set prevents expansion of any proper with more than one element. No external sum-product theorem was invoked: the scalar growth and transfer arguments were proved above.
Past exam of the mathematics course of the University of Cambridge 2010 iii Paper 10 1 Solution Created 2026-10-03 Updated 2026-10-14
For an -uniform set family , its lower shadow is the set family of all -sets contained in a member. Write a positive integer in its unique binomial representationThe Kruskal-Katona theorem states thatFor the bound is zero. Equality is attained by the first -sets in colexicographic order. In that order precedes when the largest element of their symmetric difference belongs to .
Here is a complete UV-compression proof of the Kruskal-Katona theorem. For disjoint equal-sized sets , put when contains every element of and no element of , and put otherwise. The UV-compression of a set family replaces an eligible only if its image is absent. It preserves cardinality: a retained collision keeps both the original set and its already present image.
We first prove the required Shadow lemma for UV-compressions. Suppose that, for each , a can be chosen so the set family is fixed by . We claimConsider a lower shadow member obtained by deleting from a moved set . If , it is the compressed image of , an old lower shadow member. If , the smaller compression of produces , which is in by the assumed invariance. Thus already belongs to the old lower shadow; it is not eligible to move since it lacks .
It remains to consider a lower shadow member from a retained original member . If is not eligible to move, it stays in the compressed lower shadow. If it is eligible, let . When , retaining the eligible means its image already belongs to , and that image contains . When , the smaller compression of belongs to and equals . In either case is in the old lower shadow too. Consequently the collision rule retains as well. This proves the claimed containment in every case. Since compression preserves cardinality, it cannot increase lower shadow size.
If is not a colexicographic initial segment, an earlier absent set and a later present set give , with , and a nontrivial UV-compression. Choose such a compression with smallest. If , choose . For every , the smaller compression still has its largest differing element on the side and must fix by minimality. If , the smaller compression is the identity. Thus the lower shadow argument applies.
Each nontrivial step strictly decreases the positive integer weightbecause the largest differing coordinate belongs to . Iteration therefore terminates. A terminal set family is a colexicographic initial segment, since an earlier gap and a later member would otherwise provide another nontrivial compression. The final set family has members and no larger lower shadow.
To compute its lower shadow, take maximal with . All -sets of occur first. The next block consists of sets containing whose remaining -set runs through the initial segment of length . By Pascal's identity, the remainder is smaller than , so its next leading top index is strictly less than . Repeating gives the stated unique binomial representation. The first block contributes all -sets in to the lower shadow. Deleting from the next block contributes only sets already counted; deleting another coordinate contributes joined to the lower shadow of the smaller initial segment. This recursive decomposition gives exactly the displayed sum. The base has lower shadow for every nonempty set family. This completes the proof and the sharpness assertion.
Now let be the set family of vertex sets of the graph's cliques of order four. Its twice-iterated lower shadow consists of edges of the graph. If there were at least sixteen such copies, choose a sixteen-member subfamily. The relevant binomial representation isThe proved theorem gives at least triples in its first lower shadow. Apply it again to any twenty-three of those triples, using . Their edge lower shadow has at leastmembers, contradicting the fifteen available edges. Conversely, the complete graph has edges and copies of . Therefore the maximum number of copies is exactly 15.
Past exam of the mathematics course of the University of Cambridge 2010 iii Paper 10 2 Solution Created 2026-10-03 Updated 2026-10-14
Take the natural parameter range and admissible indices . Larger indices give empty set families. Write and set when discussing the first interval. For the nontrivial interval calculation, and ; all prefixes used below then lie inside the ground set.
To compare consecutive complete-intersection candidate families, put and . A set in has exactly points in and both of the next two points. A set in has exactly points in and neither next point. ThereforeFor these quantities are positive in the present range, and cancellation of binomial coefficients givesThe numerator minus the denominator isThus is larger, equal or smaller than according as is smaller, equal or larger than . Since these thresholds decrease with the index, implies strict increase up to and strict decrease thereafter:At an interior boundary , the two consecutive maxima tie. The interval assertion concerns admissible ; taking would instead refer to an empty set family and is not a valid interpretation.
The Ahlswede-Khachatrian theorem, in its cardinality form, statesHere is interpreted exactly by its intersection with , even if that prefix extends beyond . Its size can always be written with aswhere impossible binomial coefficients are zero. When , the whole level is -intersecting and the formula gives . The nontrivial case has .
First, each candidate is a t-intersecting family: two members contain at least common points in the prefix. This proves the lower bound for . We now prove the upper bound, using only the compression and generating-family facts expressly allowed in the question.
The first auxiliary fact is that the usual left coordinate shifts of a set family preserve cardinality and -intersection. Iterating them produces a left-compressed set family of the same size. The shift with replaces by only when is present, is absent, and the replacement is not already in the set family. A set family is left-compressed when it is fixed by every such shift. Right compression is the reflected notion.
For the second auxiliary fact, a generating family for a uniform set family means a collection of sets of size at most withThe permitted small-support generating lemma for extremal intersecting families is this precise statement: if is a maximum-cardinality left-compressed -intersecting set family, , andthen it has a generating set family supported on . Reflection gives the same assertion for a right-compressed extremal set family, with the supporting interval at the right end. These two auxiliary results are being used as permitted lemmas; the extremal conclusion of the theorem is established in the remaining argument.
Choose a maximum left-compressed set family . Its complement set familyis right-compressed, has uniformity and intersection parameter , and is extremal for those parameters. Indeedso complementation gives a cardinality-preserving bijection between the two classes of intersecting set families. Notice that too.
We need a compatibility observation, which we prove. If generates and generates , thenOtherwise extend to a set of size . This size is at least both and because and . Choose an -set containing , and an -set containing . Their generating properties imply , buta contradiction. This compatibility bound for complementary generating families is the link between the two compression directions.
Suppose first that and lies strictly between and . Put and . The small-support lemma gives generators for supported on . It also gives generators for supported on . For completeness, the dual inequality required here isWriting , it is equivalent to , exactly the upper interval inequality ; for it follows from . The dual support length is .
Either every has , or every has . If neither assertion held, a pair of smaller generators would have union size at mostcontradicting the compatibility bound. In the first alternative, every member of has at least points in , so . In the second alternative, each complement has at least points in , leaving its original set with at most points there; again . Therefore , proving the theorem in every strict interval.
At an interior boundary , with , apply the small-support lemma at index to the original set family, since . Its generators are supported on . The dual generators are still supported on , by the same dual calculation with . Either all original generators have size at least , or all dual generators have size at least : failure of both would give union size at most , again impossible. The first alternative places inside , and the second places it inside . The comparison already proved gives , so the common size is .
It remains to cover the endpoint cases, not to assume them implicitly. For and , the small-support lemma with puts an extremal left-compressed set family's generators inside . Its members must all contain one, giving , attained by . For , , at most one member of each complementary pair can occur, so , again attained by . If , the whole level is intersecting.
For and , complementation changes the problem into a one-intersection problem with uniformity . Since , the preceding case givesattained by , the set family of -sets avoiding the final point. For , every two -sets meet in at least , so and is the whole level. Finally, gives directly. These cases, the strict intervals and their boundaries cover all , completing the proof of the stated maximum formula.
Past exam of the mathematics course of the University of Cambridge 2010 iii Paper 21 1 Solution Created 2026-10-03 Updated 2026-10-14
The general adjoint functor theorem says that, for a functor between locally small categories, with a complete category, has a left adjoint if and only if it preserves small limits and satisfies the solution-set condition. The solution-set condition means that for each there is a set of arrows such that every factors as for some and some .
Here is the smallness argument behind the theorem. A complete category that is locally small and has a weakly initial set has an initial object. Form the product in a category . It is weakly initial, since a projection followed by a chosen arrow gives an arrow . Take the simultaneous equalizer of all endomorphisms of with ; the family is a set by local smallness. The object is also weakly initial. For parallel arrows , take their equalizer and a map . Since is an endomorphism of , the defining property of gives . Cancellation of the monomorphism gives . Thus the monomorphism has a right inverse and is an isomorphism, so . Existence of arrows out of was already established, proving the initial-object lemma for complete categories with a weakly initial set.
If preserves small categorical limits, the comma category is complete: take the limiting object in , and use preservation to assemble the arrows from . It is locally small, and the solution-set condition provides a weakly initial set. Its initial object is an arrow with a natural bijectionFor a morphism , define by . Uniqueness proves functoriality and naturality, giving a left adjoint . Conversely, a right adjoint preserves categorical limits, because applying the adjunction converts a limiting cone over a diagram into the corresponding limiting cone of hom-sets. Its adjunction unit at is a singleton solution set. This proves both directions of the general adjoint functor theorem.
Apply it to the inclusion , where is the full subcategory of compact Hausdorff spaces. A small product in a category of compact Hausdorff spaces is again compact Hausdorff by the Tychonoff theorem. An equalizer of two continuous functions into a Hausdorff space is closed, hence compact Hausdorff. Products and equalizers construct all small categorical limits, and the inclusion preserves these constructions. Both categories are locally small.
Fix a topological space and a continuous function into a compact Hausdorff space. The closure is compact Hausdorff and has a dense subset of cardinality at most . The permitted cardinal estimate givesFor , use . Choose a set of representatives of all compact Hausdorff topologies on underlying sets of cardinality at most this bound, and all continuous functions from to those representatives. Every factors through one of them, using the inclusion . This is the solution-set condition. Consequently the inclusion of compact Hausdorff spaces has a left adjoint, the compact Hausdorff reflection:The universal arrow has dense image: factoring it through its closed image and applying uniqueness supplies an inverse to that image inclusion. It need not be an embedding when is not sufficiently separated; the assertion is a compact Hausdorff reflection, rather than a claim that every topological space embeds in a compact Hausdorff space.
For completeness, the alternative Special adjoint functor theorem can be proved from the same initial-object argument. Its limit form assumes that is complete, locally small and well-powered, with a small cogenerating family ; then , with locally small, has a left adjoint precisely when it preserves small limits. To prove sufficiency, start with and intersect all subobjects through which factors after applying . Well-poweredness makes this a small intersection of subobjects, and preservation of limits gives a smallest supporting object . For maps , equality makes their equalizer another supporting subobject. Minimality forces that equalizer to be invertible, so . Thereforeis an injective function. The evaluation embedding into cogenerator products embeds in , where is the realized subset of the fixed set . There are only a set of choices of these subsets, only a set of subobjects of each resulting product, and only a set of arrows from to each -image. They give a solution set, so the already proved general adjoint functor theorem applies. Necessity is again preservation of limits by a right adjoint. For , monomorphisms are embeddings onto closed subspaces, and is a coseparator because continuous functions to it separate points. Thus the Special adjoint functor theorem gives the same reflection directly.
Past exam of the mathematics course of the University of Cambridge 2012 iii Paper 11 2 Solution Created 2026-10-03 Updated 2026-10-07
Work over the finite field . For each set family member form the intersection polynomialAt the characteristic vector of a set , its value is . The given restrictions make for and . Hence these functions are linearly independent: evaluate a purported relation at each set family member to eliminate its coefficient.
Use multilinear reduction on the Boolean cube, replacing every positive power of by . This preserves all evaluations on and cannot increase degree. The multilinear polynomials of degree at most have basis for . Their dimension is , and thereforewhere for . The proof also covers a list whose distinct integers have repeated residues: no assumption of distinct residues is needed for this first bound.
To obtain the sharper conclusion, suppose the common size residue avoids . If , no set on this ground set can have the required residue, so the set family is empty. Otherwise, add the modular-size auxiliary polynomialsagain understood as functions after multilinear reduction on the Boolean cube. They have degree at most , and all vanish on the set family's characteristic vectors of sets.
The are linearly independent. Indeed, evaluate on with :The first factor is nonzero in the finite field. Starting with and proceeding in increasing cardinality shows for every such .
Moreover, the combined list consisting of the and the is linearly independent. Evaluation at each first kills the coefficient of ; the preceding argument then kills all remaining coefficients. Comparing this list with the dimension of the degree-at-most- space yieldsThis is a nonuniform common-residue version of the Frankl-Wilson theorem; exact equality of all member sizes was never used.
The exclusion of the small residues is necessary. A concrete example with is , , , the residue list , and the set family of all two-element subsets. Every member has size residue , outside that list, while distinct members intersect in zero or one element. ButHere the omitted condition fails at . Thus the example satisfies all the other hypotheses, rather than relying on a vacuous case.
Past exam of the mathematics course of the University of Cambridge 2012 iii Paper 11 3 Solution Created 2026-10-03 Updated 2026-10-07
Use the external external vertex boundary conventionEquivalently, its closed graph neighbourhood is . Some boundary conventions use this closed graph neighbourhood itself; because the compared set families have equal size, either convention gives the same inequality.
Order the Boolean lattice first by increasing size, and within a size by lexicographic order, with the smallest differing coordinate in the earlier set. If is the initial segment in this simplicial order on the discrete cube with , Harper inequality isIn particular, writing , if then .
Here is the full simplicial section compression proof. The cases are immediate. A simplicial initial segment has an initial-segment closed graph neighbourhood: it contains every smaller level, and its remaining upper level is the upper shadow of a lexicographic initial segment. That upper shadow is lexicographic initial because a set has a face in the segment exactly when its earliest face does, and earliest faces preserve lexicographic order.
Assume the result in dimension . For a coordinate , delete it from the present section and write the two sections as . Their neighbourhood sections are exactlyReplace both sections by equally large simplicial initial segments . The mathematical induction hypothesis controls each internal neighbourhood. Both sets in each new union are initial segments, so that union has size equal to the larger of their sizes. The corresponding old union has at least that size. Therefore this simplicial section compression does not enlarge .
Repeatedly compress any noninitial section. Every change strictly reduces the sum of the global simplicial positions of the set family members, so the process terminates at a set family compressed in every section. Suppose an earlier vertex is missing while a later vertex is present. If they agree in any coordinate, they contradict compression of that coordinate's section. Thus . They must also be consecutive in simplicial order: an intermediate vertex, whether present or absent, would create another inversion and would have to equal one of these two complementary vertices. No other inversion is possible for the same reason. Hence is either the required initial segment or that segment with its last vertex exchanged for the next vertex , with complementary.
For completeness, these terminal families for simplicial section compression can be checked explicitly. If , the exceptional consecutive vertices are the last -set and first -set . For , the initial segment is all levels through . After the exchange every vertex of size at most is still in its closed graph neighbourhood: a -set has at least two -faces, so deleting the one face cannot remove it, and itself neighbours a retained smaller set. Thus the new neighbourhood contains the old one. For , the two single-vertex set families have the same neighbourhood.
If , the exceptional pair is and . The initial segment consists of every level below and all -sets containing coordinate one. Its closed graph neighbourhood consists of every level through and the -sets containing coordinate one. For , each of the latter has faces containing coordinate one, so deleting removes no such neighbour. Every lower level remains covered. For , the added vertex itself keeps the sole two-element neighbour covered. Again the exchange does not decrease the neighbourhood. These are the only complementary consecutive pairs, as is seen by checking the central ranks and the lexicographic transition between middle-rank sets containing and avoiding coordinate one.
We have reached a set family whose neighbourhood is at least the initial segment's, without increasing the original neighbourhood. This proves Harper inequality by mathematical induction, including the exceptional compressed set families often omitted from the argument.
For the final request, the usual two-coordinate shift does not increase the boundary of a uniform set family. To see this carefully, let and let move a set containing but not to its partner with replaced by , only if that partner is absent. For any uniform set family ,Here is the local witness check for the lower shadow inclusion. A shadow member containing neither or both of has an old witness after possibly exchanging in that witness. For a paired shadow vertex containing only, either its old version or its -partner has an old witness, which suffices for its membership in the shifted shadow. For a vertex containing only that survives in the new shadow, its new witness either contains both coordinates, supplying both old shadow partners directly, or is an unshifted -only witness whose -partner was already present. In either event both old shadow partners existed, which is exactly the condition for the -vertex to survive the shadow shift. This exhausts the coordinate patterns.
Taking complements converts an upper shadow into a lower shadow and converts into , proving the second inclusion. Each shift preserves cardinality on the shadow level. The external boundary of an -uniform set family is the disjoint union of its lower and upper shadows, soThe endpoint levels have an empty shadow on one side and obey the same conclusion.
Past exam of the mathematics course of the University of Cambridge 2012 iii Paper 83 1 i Solution Created 2026-10-03 Updated 2026-10-14
Here the power set notation gives . Suppose a nonempty set has no -minimal member. Form its intersection . This is a set: for any one , use the axiom schema of separation inside to define the elements common to all members of . Selecting a single witness to nonemptiness is not an application of the axiom of choice.
For an arbitrary , lack of minimality supplies some with . Since , every subset of is a subset of , soThis conclusion holds for each , without choosing all the corresponding simultaneously. Intersecting over gives .
For completeness, the contradiction in Cantor's theorem is completely explicit here. By the axiom schema of separation put . Then , and consequentlywhich is impossible. Thus no such exists:This power-set-predecessor relation proof uses neither a descending sequence nor a comparison of possibly non-well-orderable cardinalities. It proves well-foundedness directly from the minimal-member definition.
Past exam of the mathematics course of the University of Cambridge 2014 ia Paper 4 8E i Solution Created 2026-09-24 Updated 2026-10-06
For finite sets , the inclusion-exclusion principle statesTo prove it, count the contribution of one element. If it belongs to exactly of the sets, it is counted by intersections of size . Its total weight isusing the binomial theorem. An element belonging to none contributes zero. Summing these weights gives the cardinality of the union and proves the inclusion-exclusion principle. Equivalently, within a finite ambient set , the number avoiding every is the sum over all , with sign and the empty intersection interpreted as .
Past exam of the mathematics course of the University of Cambridge 2014 iii Paper 19 1 ii a Solution Created 2026-10-03 Updated 2026-10-06
Let be given and choose of cardinality . Each is countable, so the axiom of choice and infinite cardinal arithmetic giveSince the continuum is larger, choose outside this union. Then for every . The countable set cannot contain , so choose . ThusThe two points are distinct because . This proves the countable-valued free-pair criterion and the required direction of the Freiling axiom of symmetry without any measurability assumption on .