We will denote a complete graph of order (also called -clique) as .
Any general graph of order will be denoted by .
If a graph’s edges are monochromatic in color , we denote it by .
If a graph’s vertices are monochromatic in color , we denote it by .
the colored degree of a vertex is the number of edges of a particular color emerging out of that vertex. denotes the number of -colored edges emerging out of .
1 - OG-Ramsey Theorem
let, and . Define to be the smallest number for which any coloring of the edges of with the set (denoting red and blue), contains or .
Ramsey Theorem: is finite, and is at most .
(lemma 1.1): If , and , then .
Proof:
Suppose and . we will show that . Indeed, . So, construct an arbitrary coloring of with the set .
First, suppose such that . then is adjacent to some via all blue edges. By our hypothesis, either contains (in which case we are done), or which forms a with .
Otherwise, , we have . Therefore, it must be the case that. Equivalently, . Hence any is adjacent to some via all red edges. By our hypothesis, either contains (in which case we are done), or which forms a with .
(lemma 1.2): If , and . In particular
Proof:
Color with . We either have a blue edge ( ), or . Similarly, Color with . We either have a red edge ( ), or .
lemma 1.2 acts as the base case of the induction, with lemma 1.1 acting as the inductive step, which together prove Ramsey’s theorem.
for , let be a color set, and be an -tuple of natural numbers (.
denote to be the smallest number for which in any coloring of the edges of with ,
at least one of is in .
Multicolor Ramsey Theorem: is finite.
proof, we induct on (the base case is the Ramsey theorem). suppose for some , is finite. then, we claim that (which is itself a two color Ramsey number and hence finite).
let . construct an arbitrary coloring of the edges with the color set . Now, transform this coloring in the following way: whenever the color of an edge is in , color it with a rouge color instead. now, in this Transformed coloring of , there are only two colors, namely and . if we find , we are done. So, suppose we find . In that case, reverse the transformation such that all edges in are colored as per the initial coloring with the color set . By our induction hypothesis, contains at least one of .
Wikipedia has a funny proof about going color blind initially and then recovering our sight (and a better upper bound) of .
(essentially repeat the same argument with any - colored edge with if and only if . and replaces any or - colored edge with , hence either contains or ).
let define that is, is the smallest number for which any coloring of the edges of with an -set contains a monochromatic .
Consider . Color it arbitrarily with an set. the degree of in this graph is . hence at least edges out of are all colored . hence, is adjacent to some via all edges. if some edge in is colored , we have a monochromatic triangle . Else, all edges of are colored with at most colors. hence for some color , exists in .
Hence we get the following bound: . And .
by looking at the above relation, we could guess that could work. Indeed, from our guess we have (the rightmost part of this inequality shows that does satisfy our recurrence inequality given above). however, hence . So finally,
2 : Schur’s Theorem
let be an -set of colors. Then, such that if is colored with , then such that and are all the same color.
proof:
construct an arbitrary coloring of with . Now, construct a complete graph whose vertex set is . color the edge with the color of for each . Suppose we find a monochromatic triangle then, (WLOG suppose ). then and all have the same color. Indeed . Therefore, .
3 : Anti-Fermat’s Theorem
let be a prime, and b e the cyclic (commutative) group of order . Depict the elements of as , where each number co-responds to the anti-clockwise rotation by of a regular gon. , define modulo to be the group operator.
now, let . Define (where is composed on itself times). Indeed, if , then is subgroup of . Intuitively, we can imagine as a regular polygon whose vertices is the subset of which contains and all multiples of in . ie, covers the congruence class of modulo contained in . if we rotated by unit anti-clockwise, then now it covers the congruence class of modulo , and so on. So the entire set can be covered by disjoint subsets, each co-responding to a rotation of .
Hence, we have the following beautiful result: Let be the number of congruence classes modulo contained in . Let be elements of , and let denote the congruence class modulo , obtained by the orbit of under the rotative action of . Then
Now, let denote the multiplicative group obtained by removing from the congruence classes modulo . is isomorphic to by the bijection induced by . Moreover, the subgroup is isomorphic to by the same bijection ().
Hence, there are elements such that is a partition of . Color the th block in the partition entirely with color for each . since , we need at most colors to do so. And, for a particular choice of , the prime can be made sufficiently large. In particular, if as defined in Schur’s theorem, there is a monochromatic solution to where are in . Indeed, then must all colored and hence must all be in the block . Hence, for some .
Therefore, (given that ) we have in .
Anti-Fermat’s Theorem: , there exists a prime such that the Fermat equation has a solution modulo . In particular, it’s sufficient to choose a prime .
One way to eliminate integer solutions to a polynomial equation is to eliminate solutions modulo all primes. In particular, if an equation has no solutions modulo any prime, then it has no solutions at all. The above theorem clearly shows that such an approach would not work on Fermat’s equation.
define . That is, is the smallest number for which any coloring of the edges with an -set, contains for some color .
notice that . This might make us conjecture something like , which is utter nonsense. put , and we get . (garbage, false, untrue).
the best (upper) bound on is proportional (for a constant factor smaller than 1) to .
so we stop here.
Fat Schur’s Theorem
, There exists such that if the set is colored with an -set, there exists a monochromatic set .
Proof:
We show that . Consider an arbitrary coloring of the set . Construct a coloring of the edges of such that the color of the edge is the color of . Then, for some color we can find . Then, let . where .
consider the set , then each has color . but . Which is an edge in , and therefore also has color . Hence produces the desired set.
Erdos Discrepancy Problem, Van-Der Warden Theorem
It seems that Hilbert spaces are generalizations of Finite dimensional Vector spaces into infinite dimensional ones while preserving some properties. For whatever definition of , The unit sphere in a Hilbert space is the set of all infinite dimensional vectors, whose norm/modulus is . Tao recently proved that for any arbitrary point on the unit sphere of a Hilbert space, There must subsequence obtained by choosing indices from some homogenous arithmetic progression such that the partial sums can be made arbitrarily large.
In particular, let be an arbitrary infinite sequence of vectors that lives on the unit sphere. Then, For every we have a and for which .
Erdos particularly conjectured that for we have for each integer such that .
In fact, if we relax and allow for indices not in homogenous AP, but rather in any AP, then the result becomes elementary:
Consider a finite set of vectors on the unit sphere . Construct an arbitrary infinite sequence where . We want to know if for every Integer , does there exist an arithmetic progression (defined by some triple integers for the base point for the common difference, for the number of terms) such that ?
Indeed, color the index of if and only if
Van-der-warden Theorem :
so that if is colored by an set, we have a monochromatic arithmetic progression of length ie, there exists a subset whose all elements are colored with a color .
Indeed, The wan-der Warden Theorem implies that for some (because the color of an index co-responds to a unique vector in our coloring of ).
hence . In particular, it is sufficient to set .
From now on, an arithmetic progression will be denoted by .
define a fan of radius , degree , focused at , to be the tuple , for .
The arithmetic progression is the jth Spoke of the fan .
The defined fan is called polychromatic each of its $d $ spokes are monochromatic AP’s (of length ) for different colors and its focus is colored
The -shift of a fan is the -tuple . Suppose for the common difference , we have fully disjoint series of shifted fans (no two fans have even a single common point). Moreover suppose each fan in the series is polychromatic, and has the exact same coloring pattern! (the picture below should illustrate what we mean).
(indeed the picture should look like the exact same, EXACTLY SAME colored fan, shifted times in such a way that the base point’s form a -length AP)
Then the series of fans can be written as . (The entirety of each of these fans live in completely disjoint blocks of .
Now, for a particular , select the element of the spoke of the first fan, , the element of the spoke of the second fan and so on.
in particular, we have the series
indeed, the above series is an arithmetic progression, for each . We will show that these AP’s could be the spokes of a new fan focused at . ineed, all of our progressions are of the form . where goes from to .
Write . then all our progressions are of the form . Indeed each of these progressions could be focused as spokes at . but notice that even the basepoints of all our inital fans could also be focused at because our basepoints are of the form . Indeed each of these spokes are monochromatic, and are of different color. even the basepoint is of a different color because each of our shifted fans is polychromatic.
Therefore the fan where and for . Therefore, is a “weakly” polychromatic fan of radius , focused at , with degree . so either is polychromatic, or has a monochromatic length AP.
Call the above argument the lemma.
But where are we going to find such shifted fans?
recall the van-der warden number . indeed, and exist. (Any number is a monochromatic AP of length , by , . suppose for exists for all .
In particular, we will show that for each to , there exists such that any coloring of contains a term monochromatic AP, or a polychromatic fan of degree , and radius , at some focus.
for , notice that an interval contains a monochromatic AP of length .
call it let the common difference (which itself has an upper bound ofc) be for this ap, . Then, join in the term to this ap, this either has the same color as the rest of the progression (giving a monochromatic term AP) or a polychromatic fan of degree , focused at .
suppose for some , there exists such that any coloring of contains a term monochromatic AP, or a polychromatic fan of degree , and radius , at some focus.
Now, The number of different coloring patterns an [ block due to an set is .
denote each of these coloring patterns themselves by new colors. let each of the coloring patterns be mapped to a unique NEW color).
Then, by imagining each length block be indexed b it’s first element, club the entire block together, fuzzing it to its new color).
then consider blocks. then, we have a monochromatic “block” AP of length . if we find a length monochromatic AP in any 1 block, we are done. so suppose all blocks have a polychromatic fan of degree , and radius , at some focus.
Since we have a monochromatic “block” AP of length , EACH fan in the block has the exact same coloring pattern!!!! (Since the entirety of each block has the same coloring pattern!!)
Therefore, by the lemma, we either have a polychromatic fan of degree , and radius , or a monochromatic -length AP. In the latter case, our induction (main) is closed. In general our inner Induction is now closed.
In the former case, let then, if we have a polychromatic fan of degree and radius , then each of the spokes are assigned a different color, so the focus CANNOT be a different color from each of the spokes, so we have a contradiction. hence, a -length AP.
Probabilistic Method, Lower Bound for Ramsey Type numbers.
we would like a lower bound for for example. We use the crude-union bound. the probability that there exists a monochromatic in is less than or equal to .
so it’s okay to set . even the largest which satisfies the given inequality is strictly smaller than . using and simplifying we get the following result.
so, in fact,
for large, noting that is an integer, we have
Path Number:
define . that is the smallest number for which a red-blue coloring of the edges of either contains a red or a blue . Note, that path length is usually measured by the number of edges, but here denotes the number of vertices in the path.
we claim that .
construct a red-blue coloring of . the degree of any vertex is . suppose there exists such that
indeed, if we have a blue , we are done. if we have a red , join to by red edge. and we are done.
Else, all vertices have . hence . So indeed, .
if we have a red , we are done. if we have a blue , is adjacent to via all blue edges, hence, we are done.
notice that given , we can use a double induction (using the above inequality) to show that .
we claim that .
suppose . This will act as a base case for our inductive descent into absurdity.
we will show that if , implies . that is we can safely delete a vertex.
let . construct a red-blue coloring of . indeed, suppose .
given that , if we find a red , the remaining vertices are in number, which is greater than zero. So delete one vertex from this. Similarly, if we find a blue , the remaining vertices are in number, which is greater than zero, so we can delete 1 vertex from this.
Hence, the induction is closed reaching .
so suppose . then, .
indeed, it must be that . Hence, . Color all edges of blue. Then, we neither have a blue nor a red .
Similarly, let . Then, . we get . color all edges of red. we neither have a blue nor a red .
The thing is, our induction step is correct. Therefore, the base case must be wrong. Hence . Arriving at the desired result.
Define .
Now, notice that .
Applying this recursively, we get that Setting each , we obtain the desired result.
AP path number Lemma
let be a subset of the integers, written in increasing fashion. if the edges of complete graph on as the vertex set, is colored such that , then if we have a monochromatic, -path, we have a -length AP in .
Because we have the following series of equalities ,
suppose, . then . now suppose . then, . Hence, , which is a contradiction, (all of our vertices are unique numbers). hence, our path has an entire sequence of increasing vertices. (up to a reversal of the path).
Therefore, we have an increasing sequence of numbers and
(is this an if and only if condition!!!!????) The answer is YES.
Now, let be an infinite subset of . (which is normalized such that ) let a finite subset of be denoted by .
then, define the color-density of to be the number of absolute differences in . (denoted by ). That is, .
Now, if , then contains a length arithmetic progression. (by AP path number lemma).
now, define .
Then, The density sequence of is . hence, if for each , if , then contains at least a length AP.
Moreover, if is increasing (however slow), and unbounded, then contains arbitrarily long AP’s.
In this case, we have the following term-wise lower bound on the natural density sequence of .
conversely, if for some infinite set , eventually, the density sequence follows the (term wise) the above upper bound, then it must contain arbitrarily long arithmetic progressions (for increasing and unbounded .)
The above inequality talks about the sufficiency for the density for our chosen set in some sense .
indeed,
Hence, by allowing to be a horrendously slow growing (yet unbounded) function, and for good upper bounds on it should be possible to make sparse. How sparse? that’s for another day. (of course has to be eventually floored for , because he only accepts integer inputs).
Essentially, Szemeridi’s theorem could be proven if there exists increasing and unbounded so that is decreasing. But for our crude upper bound on $\phi $ given below, we give a slick proof that since is unbounded, not only is (non decreasing), but also unbounded (curtsey of @Steen82 from stack exchange)
since is unbounded and increasing, there must be a such that . hence, , for all . hence, we have the following inequality:
So we need better upper bounds on .
I guess, the better idea is to first get good bounds on in particular, for a fixed , what's the LARGEST could in induce?
In other words, if denotes the fraction of points we could pick in the inteval , how could we pick it to maximize for that interval?
In even more different words, what is a decent relationship between and ?
The other Erdos-Gallai Theorem:
Proposition: Suppose we have a connected graph on vertices. let denote the minimum degree of all verticles of . Wlog suppose . Then, there exists a path on vertices in .
Proof: supppose the longest path in is . ( , because is trivial) Consider the induced subgraph of induced by . call it . we claim that does not have a cycle with edges (notice that the cycle with edges in will contain all ), Because if it did have one, since , there must be a vertex not in which is connected to the cycle in . so, we could cutoff the edge of the cycle at the point where the external vertex joins it, and create a larger path. (see picture below) Resulting in a contradiction.
Now, also notice that in , all the neighbors of and must be among . because if even one had an “external” neighbor, we could increase the path length by 1, giving a contradiction.
In particular, both and must have at least neighbors in .
Suppose was a neighbor of . then we claim that cannot be a neighbor of . else, we have the following cycle with edges: . Which is disallowed as stated earlier.
Hence, for every neighbor of in , there is a non neighbor of in . but there are at least neighbors of in . Therefore, there are at least non-neighbors of in . hence including , there are at least vertices in
We could restate the proposition in the following way:
Lemma 1: If is a connected graph with minimum degree , then there exists a path of length (number of edges) .
next define the average degree of a graph , .
Lemma 2: Now, we claim that if is not connected, there exists a component of such that .
Since there are no edges between (connected) components of , let for to be all the components of . Now suppose that for each , . that is, . (Where is the order of . Hence, we have the following inequality:
Therefore, upon rearrangement, and noting that , and , we get the contradiction .
Erdos-Gallai Theorem:
Any graph , must contain a path of length of at least .
Proof: we induct on the order , of . Suppose the claim is true for all graphs of order , .
consider any graph . Suppose is connected. Further, suppose there exists a vertex , such that . Notice that . Hence, we have:
Hence, by the induction hypothesis, must contain a path of length at least .
Now, Suppose is connected, and all vertices have . then the minimum degree of the graph . Hence, it must contain a path of length . But and (equality holding for complete graphs) hence, must contain a path of length .
Finally let be disconnected. Then, there exists a (connected) component of , such that . (see lemma 2) but since the order of is strictly smaller than , by the induction hypothesis, contains a path of length at least .
The original Erdos-Gallai Theorem was stated this way:
If the average degree of a graph is greater than , then there exists a path on vertices in .
We know that we will have a path of length at least . Hence, we have a path of length at least edges, or vertices.
The OG upper-bound:
Proof: construct an arbitrary coloring of the edges of with colors.
Notice that there is a color class of size (number of edges) at least . Consider a subgraph which contains all vertices, and only the same-colored edges. The average degree of this graph is . Hence By the Erdos-Gallai theorem, this subgraph contains a vertex path. (which is monochromatic).