Analytic and Probabilistic Methods
[53/62%]Find the asymptotics of
the sums from Problem 1.1.6 (1);
the sums from Problem 1.1.6 (2);
the sums from Problem 1.1.6 (3);
the number of subsets of the set containing no two consecutive numbers;
the same as in part (4), for three consecutive numbers.
In the answer you may use the function which, given numbers and a polynomial having a unique root on the interval , returns this root.
Find the asymptotics of the maximum number of edges in a graph with vertices containing no -clique. Here .
Prove the following relations, assuming in the asymptotics that and is fixed. (The number denotes the maximum number of edges in a graph on vertices that does not contain as a subgraph; it is defined in Problem 2.7.6.)
.
.
.
The famous Erdős--Stone--Simonovits theorem states that for any fixed such that , as we have . (For bipartite it is only known that .) That is, if we forbid a graph to contain some fixed subgraph , then the fraction of edges that can be drawn, among all possible edges, is determined by the chromatic number of the graph . It is surprising that the chromatic number arises in this problem! (This theorem may not be used in solving Problem 6.1.3 (2).)
. By definition, this means that there exists a function such that
or, equivalently,
.
Find the asymptotics of (cf. Problems 1.4.3 (2) and 6.1.10 (2)).
.
Find the asymptotics of .
.
, where .
, where , .
Find the asymptotics of .
Find the asymptotics of .
;
.
Stirling’s formula. , i.e., .
.
for .
This means that there exists a function such that
or, equivalently,
for .
(Formulate yourself what means here.)
for .
for .
(Formulate yourself what means here.)
Informally, part (4) means that for the probability of getting exactly heads in coin tosses is approximately equal to . For the informal remarks on this and the next part, an intuitive understanding of what probability is suffices.
Informally, part (5) means that for the probability of getting exactly heads in coin tosses is approximately equal to (the normal distribution).
Is it true that the notations and are ``equivalent''?
That is, is it true that for any function the conditions and are equivalent?
Find functions such that , but .
Can functions simultaneously satisfy the relations and ?
Can functions simultaneously satisfy the relations and ?
Do the two relations of part (4) imply that ?
Which function grows faster: or ?
That is, find .
Does there exist a function such that ?
(As in any mathematical problem, the answer must be justified: give an example of such a function, or prove its existence, or prove that no such function exists.)
In Problems 6.1.10 (2, 3, 4, 5, 6, 7), unlike the other problems, one may use Stirling’s formula 6.1.6 (5) without proof.
Find the asymptotics of
;
;
;
, ;
;
;
.
Find the asymptotics of the function defined by
;
;
;
(cf. Problem 4.1.5);
(the function arises as the complexity of realizing Boolean functions);
(cf. Problem 1.4.3 (2)).
In the answers you may use constants given as sums of series. Find the asymptotics of
the number of linear subspaces of (see Problem 1.4.7 and the definition preceding it);
the number of unicyclic graphs with vertices (see Problem 2.2.5 (2) and the definition preceding it).
For each of 100 types of work, a company has exactly 8 specialists. An employee may be a specialist in several types of work; the assignment of specialists to types of work is known to the person who schedules days off. Each employee must be given a day off on either Saturday or Sunday. Prove that this can be done so that on both Saturday and Sunday, for each type of work, a specialist in it is at work. (This is Problem 1.6.7.)
For each of several types of work, a company has exactly 8 specialists. (Now the number of types of work need not be 100.) Each type of work shares specialists with at most 30 other types. Each employee must be given a day off on either Saturday or Sunday. Prove that this can be done so that on both Saturday and Sunday, for each type of work, a specialist in it is at work.
200 students from 10 groups, each of which has 20 students, stand in a circle. Prove that one can choose a leader in each group so that no two leaders stand next to each other.
The same for 1600 students from 100 groups, each of which has 16 students.
Prove that the first 8 positive integers can be colored in 2 colors so that there is no monochromatic arithmetic progression of length 3.
Prove that the first 15 million positive integers can be colored in 2 colors so that there is no monochromatic arithmetic progression of length 32.
Prove that for any all real numbers can be colored in 2 colors so that for any the numbers and have different colors.
Prove that for any 25 distinct numbers all real numbers can be colored in 3 colors so that for any the numbers include numbers of each of the three colors.
Every inhabitant of a town is either healthy or sick, and also either rich or poor. Wealth and health are independent, i.e. the proportion of healthy rich inhabitants among the rich equals the proportion of healthy inhabitants among all inhabitants. It is known that there is a rich townsperson and there is a healthy townsperson. Must there be a rich healthy townsperson?
Are the following subsets dependent? (We call subsets dependent if they are not independent.)
In the set of all squares of a chessboard, the subset of squares in its first three rows and the subset of squares in its last four columns.
The subsets and .
The subsets and .
Are the following subsets of the set of integers from 1 to 105 dependent?
The subset of numbers divisible by 5 and the subset of numbers divisible by 7.
The subset of numbers divisible by 15 and the subset of numbers divisible by 21.
The subset of numbers divisible by 15 and the subset of numbers divisible by 5.
The subset of numbers divisible by 10 and the subset of numbers divisible by 7.
(Cf. the remark after Problem 6.2.1 (2).) Are the following subsets of the set of all colorings of the numbers in two colors dependent?
The subset of colorings for which is monochromatic and the subset of colorings for which is monochromatic.
The subset of colorings for which is not monochromatic and the subset of colorings for which is not monochromatic (cf. Problem 6.2.1 (2)).
The subset of colorings for which is monochromatic and the subset of colorings for which is monochromatic.
Subsets and of a finite set are independent if and only if and are independent.
Must there be a rich, healthy, smart citizen if in a city the proportion of rich citizens is greater than , the proportion of healthy ones is greater than , and the proportion of smart ones is greater than ?
The same question if the city has a rich citizen, a healthy citizen and a smart citizen, wealth, health and intelligence are pairwise independent, and the proportion of rich healthy smart citizens among the rich healthy ones is the same as the proportion of smart citizens among all inhabitants. (Together with the pairwise independence condition, the latter is called mutual independence.)
The same question if more than half of the citizens are rich, more than half are healthy, more than half are smart, wealth and intelligence are independent, and health and intelligence are independent.
Problem 6.2.10 shows that the stronger the condition characterizing the independence of several sets, the smaller the proportion of each set that suffices to guarantee that their intersection is nonempty. Moreover, the most interesting result (6.2.10 (3)) is obtained in the middle'' between the extreme conditions — the complete absence of independence (6.2.10 (1)) and mutual independence (6.2.10 (2)). This often happens: the most useful considerations lie between the extreme'' points of view.
Let be subsets of a 720-element set, each of which has more than 480 elements. If and are independent for every , then .
Let and let be subsets of a finite set, the proportion of each of which is greater than . If and are independent for every , then .
For more on independence, see [KZP].
Give an example of subsets of a finite set that are
pairwise independent, but such that is not independent of the collection ;
not pairwise independent, but such that is independent of the collection .
Denote by the family of all colorings of the set in two colors. For a subset , denote by the subset of those colorings for which is monochromatic. Then is independent of the collection . (Cf. the remark after Problem 6.2.1 (2).)
The following conditions on subsets are equivalent:
-
is independent of the collection ;
-
is independent of the collection ;
-
is independent of the collection .
The Lovász local lemma in symmetric form. Let be subsets of a finite set. If for some and every the proportion of the subset is at least and there exists a collection of at least subsets of which is independent, then .
For , the statement of part (1) remains true if is replaced by .
If for every and for some the inequality holds for every , then for every .
Here is a formulation of part (1) in probabilistic language, which is not used in what follows. Let a probability space be given and let be events. Suppose that for some and every the probability of the event is at least and there exists a collection of at least events of which is independent. Then the probability of the event is positive.
Suppose we are given a number
;
and a family of -element subsets of a finite set . If each element of is contained in exactly subsets of the family, then there exists a coloring of in two colors for which every subset of the family contains elements of both colors. (That is, the chromatic number of any -uniform -regular hypergraph equals two for . Cf. Problem 6.2.1 (2).)
Several subsets of a finite set are chosen. Each of them has at least 3 elements. Each of them intersects at most of the chosen -element subsets. If , then the elements of the given set can be colored in two colors so that every chosen subset contains elements of both colors.
For any partition of the vertex set of a cycle of length into sets of 16 vertices each, one can choose one vertex from each set so that there are no edges between the chosen vertices.
The same for vertices.
In a graph, the degree of every vertex does not exceed . All the vertices are colored in colors. There are at least vertices of each color. Then one can choose vertices of different colors, no two of which are joined by an edge.
Every -element arithmetic progression in is intersected by at most other such progressions.
For every positive integer there exists a coloring of the first positive integers in 2 colors for which there is no monochromatic -element arithmetic progression.
Every -element arithmetic progression in is intersected by at most other such progressions.
For every positive integer there exists a coloring of the first positive integers in 2 colors for which there is no monochromatic -element arithmetic progression.
If is a finite set and are positive integers such that , then for any -element subset there exists a coloring of in colors such that for any the set contains points of each of the colors.
The same for .
The same for .
If , then , where is the Ramsey number (Sec. 4.1).
. (Cf. Problem 4.1.5.)
There are several colors. To each vertex of some graph a list of at least of these colors is assigned, where . For any vertex and any color from its list, there are at most neighbors of the vertex whose lists contain this color. Then one can color each vertex of the graph with some color from its list so that the endpoints of every edge have different colors.
In a directed graph, at most edges enter each vertex and at least edges leave each vertex. Then for any positive integer there exists a directed cycle of length divisible by .
The cells of an board are colored in several colors. There are at most cells of each color. Then one can place pairwise non-attacking rooks on the board so that they stand on cells of different colors.
A CNF formula is a conjunction of a collection of disjunctions of some of the variables or their negations. If each factor'' of a CNF formula has exactly $k$ summands'' and each ``factor'' has common variables with at most others, then the Boolean function defined by the formula is not identically zero.
One of the central problems in computer science is the -satisfiability problem (-SAT problem): for a given CNF formula each disjunction of which contains exactly variables, determine whether the Boolean function it defines is identically zero. For there is a polynomial algorithm solving it. For larger , no fast algorithms answering this question are known. Constructing such an algorithm, or proving that none exists, is equivalent to solving the famous open problem ``''.
Lovász local lemma. *Let be subsets of a finite set, , and . Suppose also that for any
-
the proportion of the subset is at least ;
-
the set is independent of the collection .
Then the proportion of the intersection is at least .*
There exists such that for every .
Here is a formulation of part (1) in probabilistic language, which is not used in what follows. Let a probability space be given, let be events, , and . Suppose that for any the probability of the event is at least and the event is independent of the collection . Then the probability of the event is at least .
Remark. Using more involved computations, one derives from the Lovász local lemma that . Moreover, this is the ``best'' that can be squeezed out of the Lovász local lemma. The inequality (Kim's theorem) is also known. Its proof, instead of the Lovász local lemma, uses quasirandom graphs, sharp concentration inequalities, etc.
If in a graph with vertices the minimum vertex degree equals , then
for any there exists a set of vertices such that the union of and the set of all vertices not joined to any vertex of contains at most vertices;
there exists a set of vertices such that every vertex of is joined by an edge to some vertex of and .
If for some , then (here are the Ramsey numbers, see Sec. 4.1).
(we write if ).
Cherchez la femme. At a Russian-French meeting there were no representatives of other countries. The total amount of money held by the French turned out to be greater than the total amount of money held by the Russians, and the total amount of money held by the women turned out to be greater than the total amount of money held by the men. Must there have been a Frenchwoman at the meeting?
Banknotes of different denominations and from different countries are packed into two suitcases. The average value of a banknote equals 100 rubles. The total number of banknotes in the left suitcase is greater than in the right one. Must there be a banknote worth at most 200 rubles in the left suitcase? (Cf. Markov's inequality 6.3.9 (1).)
For any integers there exists a graph that contains no cycles of length less than and cannot be properly colored in colors. (See the definition of a proper coloring in Sec. 3.1.)
For given and , the probability of having vertices with no edges between them is less than .
Fix and call the probability of a graph (in the Erdős--Rényi model, or probability space) with vertices and edges the number . The probability of a family (or, which is the same, a property) of graphs with vertices is the sum of the probabilities of the graphs belonging to it.
A random variable is a function defined on the set of graphs with vertices .
For example, the number of edges of a graph is a random variable.
Let a random variable take distinct values . Then the mathematical expectation (expectation) of the random variable is its ``weighted average''
where is the set of all graphs for which . The latter probability is denoted by .
For given and , find the expectation of the number of
isolated vertices;
triangles;
-cliques;
-cliques that are connected components;
Hamiltonian cycles;
non-self-intersecting cycles of length ;
non-self-intersecting cycles of length that are connected components with exactly edges;
trees with vertices;
tree components of a given size , i.e., trees with vertices that are connected components.
For a given , find the asymptotics (for constant and ) of the function (i.e., of the -th factorial moment), if is the number of isolated vertices.
For given and , find the variance of the number of
isolated vertices;
triangles.
Prove that for any random variables and the following properties hold:
;
if and are independent (i.e., for any we have ).
Let be a random variable (as defined before Problem 6.3.4) and .
Markov’s inequality. . (Cf. Problem 6.3.3 (1).)
Chebyshev’s inequality. .
An event occurs asymptotically almost surely (or with asymptotic probability 1) with respect to a sequence if . A commonly used shorthand: for the event occurs a.a.s. (formally, this phrase makes no sense, since it means if $p(n)=f(n)$, then the event $A_n$ occurs a.a.s.'', while without specifying the sequence $f(n)$ the phrase the event occurs a.a.s.'' cannot be properly defined).
Recall that here is the number of vertices of the graph.
For
a.a.s.there are more than isolated vertices;
for some , a.a.s.every connected component has fewer than vertices (specialists say: fewer than vertices);
a.a.s.every connected component is a tree or a unicyclic graph;
for some , a.a.s.there are fewer than unicyclic components.
For , a.a.s.the edges are pairwise disjoint.
For and , there exists a function such that a.a.s.the number of vertices of degree 1 is greater than and less than , and the degrees of all the other vertices are zero.
If (), then for a.a.s.the random graph is connected (disconnected).
We state a result from [B, p.100, Theorem 5.4]. Let . For denote by the number of connected components of the random graph that are trees with vertices.
If , then a.a.s..
If , then the sequence of random variables converges as to a random variable having the Poisson distribution with parameter , i.e., for any , , we have .
If and , then for any .
If , then the sequence of random variables converges as to a random variable having the Poisson distribution with parameter .
If , then a.a.s..
Find at least one function such that
-
for , a.a.s.the graph contains no triangle,
-
for , a.a.s.the graph contains a triangle.
The same with the triangle replaced by a subgraph isomorphic to .
Such a function is called a threshold probability. A threshold probability exists for every monotone family of graphs. A monotonically increasing (decreasing) family of graphs is a family of graphs that, together with each graph, contains every supergraph (subgraph) of it.
The chromatic number of the graph is a.a.s.at most
one for ;
two for ;
three for , where .
The greedy coloring algorithm (see Problem 3.2.3: the vertices of the graph are processed in some order, and each of them is assigned the smallest color that does not occur among its already colored neighbors), for any positive , a.a.s.(for ) errs by a factor of at most .
For any there exists a sequence of graphs with vertices such that, for a random numbering of the vertices of the graph (i.e., with the probability of each numbering equal to ), the probability that the ratio of the number of colors in the greedy coloring to is greater than is greater than . (In other words, on the one hand, for almost every graph the greedy coloring is good in any numbering, but, on the other hand, there are graphs for which, almost no matter how you number them, the result is still rubbish!)
See [R3, R4, R5] for more details. In particular, the following results are proved in [R4].
Bollobás’s first theorem. There exists a sequence for which, for , a.a.s.. (This theorem generalizes to practically all values of [JLR].)
Bollobás’s second theorem. For any there exist sequences and for which, for , a.a.s.. (In this theorem, for some the sequences and can be chosen so that .)