uniform distribution for a class of k-paradoxical oriented graphs

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Uniform distribution for a class of k-paradoxical oriented graphs Joint work with undergraduate students J. C. Schroeder and D. J. Pleshinger (Ohio Northern University, 2012) With many thanks to the Miami University Fall Conference (2012), where the chosen topic was “Statistics in Sports”. Not being a statistician and definitely wanting to attend and present something, I had to find a suitable topic on short notice. I thought that distribution properties of the dominating sets in the Paley tournaments might not be too far from the conference theme (although some may beg to differ ). Eventually two Ohio Northern University seniors who like to visualize and draw nice pictures of graphs joined me in this investigation, and presented at the 2013 Joint Meetings.

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Uniform distribution for a class of k-paradoxical oriented graphs. Joint work with undergraduate students J. C. Schroeder and D. J. Pleshinger (Ohio Northern University, 2012). - PowerPoint PPT Presentation

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Page 1: Uniform distribution for a class of k-paradoxical oriented graphs

Uniform distribution for a class of k-paradoxical oriented graphs

Joint work with undergraduate students J. C. Schroeder and D. J. Pleshinger (Ohio Northern University, 2012)

With many thanks to the Miami University Fall Conference (2012), where the chosen topic was “Statistics in Sports”. Not being a statistician and definitely wanting to attend and present something, I had to find a suitable topic on short notice. I thought that distribution properties of the dominating sets in the Paley tournaments might not be too far from the conference theme (although some may beg to differ ). Eventually two Ohio Northern University seniors who like to visualize and draw nice pictures of graphs joined me in this investigation, and presented at the 2013 Joint Meetings.

Page 2: Uniform distribution for a class of k-paradoxical oriented graphs

Objects of interest: oriented graphs (no 2 – cycles, no loops, no multiple edges).

(" ")x y x dominates y

Notation:

(" ") if for all x S x dominates S x z z S

( ) { | } (note that ( ) )D S x x S D S S

: ( ) whenever S is a set of vertices with | | .k paradoxical D S S k

Page 3: Uniform distribution for a class of k-paradoxical oriented graphs

1 – paradoxical

2 – paradoxical

Featured in the paper "On a problem in graph theory“ By P. Erdős (The Mathematical Gazette (1963) 47: 220–223)

1

2 mod 7

4

x x

x x

x x

Page 4: Uniform distribution for a class of k-paradoxical oriented graphs

Paley tournaments

A Paley tournament on p = 11 verticesSource:

www.ams.jhu.edu/~leslie/paley.eps

2

: F where 3 (mod 4) ( ) has

: where and 1 ( 1) 2p

p

vertices pG p

edges x x t x F t p

Page 5: Uniform distribution for a class of k-paradoxical oriented graphs

Paley tournament on p = 23 vertices

Page 6: Uniform distribution for a class of k-paradoxical oriented graphs

Existence of k – paradoxical tournaments:If k is fixed, then large enough n, most tournaments on n vertices are k –paradoxical.

1 random tournament with vertices, | | , Pr 1

2kT n S k x A S x S

1Probability that nobody deafeats all teams from : Pr ( for every ) = 1

2

n k

kS x S x A S

is not paradoxical: for some , there is no team in defeating all teams from .kT k S P A A S S

: | | and S S k x A S x S

Probability of a randomly selected tournament T being paradoxicalnot k

exp

1Pr 1 0 ( fixed, )

2k

n k

kS P A

poly

nx A S x S k n

k

Erdős (1963): Non-constructive, probabilistic proof.

Sketch of proof

Page 7: Uniform distribution for a class of k-paradoxical oriented graphs

Graham and Spencer (1971) used Paley tournaments G(p) and Weil estimates to provide explicit examples of k – paradoxical tournaments. In , if with , then ( ) for an absolute implied constant.

2p k

pG p S F S k D S O k p

Proof - preliminaries

: multiplicative character of order

: 1 , where of degree , not a perfect power

q

q

x F q

F rWeil estimates P x d q

P x F x d r th

1 2 1 2

1 2 1 2

odd prime, 2, 1 mod ; : multiplicative character of order ; 1;

2, ,..., exp ,0 1 ; , ,..., for ;

; ; , ,..., ; , ,..., : # |

p

t r t p i j

t t p

p r p r F r t

k iU k r d d d F d d i j

r

N N p d d d x F x

for 1, 2,...,i id i t

APPLICATION OF WEIL's ESTIMATES TO DISTRIBUTION OF POWER RESIDUES

THEOREM 1: , with an absolute implied constant.t

pN O t p

r

Page 8: Uniform distribution for a class of k-paradoxical oriented graphs

2

A MORE EXPLICIT BOUND:

( ) is paradoxical if 4kG p k p k

1 2, ,...,

and 1 for 1,...,

k

ip

S a a a

a xx S x F S i k

p

1 2( ) # 1 for 1, 2,..., ; ; , ,..., ; 1, 1,..., 1| ip k

x aD S x F i k N p a a a

p p

( ) with an absolute implied constant2k

pD S O k p

Proof

Or and 1 for 1,..., , since 3 mod 4ip

x ax F S i k p

p

With the notation from THEOREM 1,

( ) if is fixed and is large.2k

pD S k p

Page 9: Uniform distribution for a class of k-paradoxical oriented graphs

Success of the Paley construction (in providing an explicit example for an indirect, probabilistic result)

explained (after the fact) by the - quasi random character of the sequence of quadratic residue .

Chung and Graham (1992, - , Journal Of Combinatorial Theory A)N

s

Quasi random subsets of

1 2 3 1Historical: Harold Davenport in 1930's considered the 1 sequences of interest: , , ,...,

p

p p p p

Global symmetry: L/R symmetric if p is of the form 4k+1, anti-symmetric if p is of the form 4k+3.

Cumulative sums, p = 17489

1( ) behaves as a quasi random subset of of density

2 2pk k

pD S F

Page 10: Uniform distribution for a class of k-paradoxical oriented graphs

Cumulative sums, p = 17491

Page 11: Uniform distribution for a class of k-paradoxical oriented graphs

Distribution of the dominating set ( ) in Paley tournaments ( )D S G p

Intuitive understanding: if , and | , then we expect

2 2

p p

k k

S F S k I x F p x p

I pD S I I

Method of proof: similar with the classical Graham and Spencer proof, only that instead of

Weil estimates we will use estimates for .incomplete character sums with polynomial arguments

1

THEOREM 2 : log N H

x N

Burgess estimates P x K p p

: multiplicative character of order , of degree , not a perfect power

holds uniformly for and , where depends on the degree of ( ) only.

q qF r P x F x d r th

N H K P x

Page 12: Uniform distribution for a class of k-paradoxical oriented graphs

0 5

6

: G(103) with 0,5,6

11,27,45,48,53,75,80,90,94,95,101

EXAMPLE D

3

10311

2D S

Page 13: Uniform distribution for a class of k-paradoxical oriented graphs

Uniform distribution Paley Tournaments

1,..., pI N N H F

3 mod 4p

THEOREM 2

The number of elements of the dominating set in the interval is given by

log , where the implied constant de2k

Uniform distribution for the dominating sets in Paley tournaments

D S I

HD S I O p p

pends on only.k

1

1 11 , where

2 2

ki

k kx I S i

x aD S I A B

p

1 1

1 , and 1k k

i i

x I x I Si i

x a x aA B

p p

1 2, ,..., kS a a a

1 2

1 21 1 ...

1

The main term satisfies

...1 1 = log log

(the implied constant depends on only), while the 'small term' satisfies 2 .

k

t

ki i it

x I t i i i k

k

A

x a x a x aA I O p p H O p p

p

k B B

Thus log , where the implied constant depends on only.2k

HD S I O p p k

Proof

Page 14: Uniform distribution for a class of k-paradoxical oriented graphs

log , where the implied constant depends on only.2k

HD S I O p p k

1Corollary: If is fixed and log for some 0 then

1, 2,...,2k

k H p p

H HD S I D S N N N H D S

p

exactly what one should expect under the hypothesis of a random tournament

Page 15: Uniform distribution for a class of k-paradoxical oriented graphs

paradoxical oriented graphs with a (relatively) small number of edgesk

From Dirichelet's Theorem: there are infinitely many primes

of the form 4 2 1 (note that gcd(4 ,2 1) 1)

p

p mq q q q

1DEFINITION. Let 1, 0 fixed. Let 1, odd, with .k q q

q

Observation: since is odd, any such prime satisfies 3 mod 4 , so is defined.q p G p

2Let : a multiplicative character of order exactly 2 .p qF U q

Define the oriented graph as follows

Vertex set

Edges: where and a nonzero power of order 2 .

q

p

p p

G p

F

x x t x F t F q

Page 16: Uniform distribution for a class of k-paradoxical oriented graphs

=1.x y iff y x

Dominating sets for G : | 1 for all q q pp D S x F y x y S

3 mod 4 , and any nonzero power of order 2 is also a nonzero perfect squarep q

subgraph of the Paley tournament qG p G p

1REGULARITY: there are 2 1 emerging edges per vertex

2

(and the same # of incoming edges)

pm

q

Small (relatively) number of edges:

1=

2q

E G pp pE G p E G p

q q

Page 17: Uniform distribution for a class of k-paradoxical oriented graphs

3:(43).

It has 43 vertices, out degree 2 1 7 each.

Example: the oriented regular graph

3, 4 2 1 43.

G

m

q m p mq q

Page 18: Uniform distribution for a class of k-paradoxical oriented graphs

3(127) fragment

127 vertices, out degree 2 1 21 each.

Shown: vertices emerging from 4, 37, 77, 98

Example:

3, 10, 4 2 1 127.

G

m

q m mq q

Page 19: Uniform distribution for a class of k-paradoxical oriented graphs

THEOREM 3: If , are fixed, and is odd, then for all large enough primes in the arithmetic progression

4 2 1, the oriented graphs are paradoxical. Moreover, for every integer interval q

k q q p

p mq q G p k

1, 2,..., modulo , we have log where the implied 2

constant depends on and only.

q k

pI N N N H p D S I O p p

q

k q

Main uniform distribution result for the oriented graphs qG p

Therefore the oriented graphs are paradoxical for all large enough 2 1 mod 4 qG p k p q q

Indeed log 0 if is large enough and log for some 0.2

k

pO p p p H p p

q

PROOF: similar to that of THEOREM 2 only that Burgess' character sum estimates

are used with a character of order 2 instead of a quadratic character.q

2 1

1 211

1,if 1KEY: if , ,..., , the quantity 1 is

0, else 2

qkj q

p p k ikji

x D Sx F S F a a a a x

q

COROLLARY: For every positive integer and every 0 there exists a paradoxical subgraph of a Paley tournament,

with a number of edges less than a fraction of out of the number of edges of the un

k k

derlying tournament.

NOTE: are quasirandom subsets of in the sense described by F.R.K. Chung and R. Graham

since the incomplete exponential sums with nontrivial additive characters evaluate as .q

q p

x D S

D S

x o p

Page 20: Uniform distribution for a class of k-paradoxical oriented graphs

A closer look: fragment of a 2-paradoxical oriented graph with 67 vertices. Outgoing edges from x to x+1, x+9, x+14, x+15, x+22, x+24, x+25, x+40, x+59, x+62, x+64 for any x modulo 67. For better visibility, only the outgoing edges from vertices 0,1,…,19 are shown, with the ones emerging from vertex 0 marked in red. This is a subgraph of the Paley tournament G(67) , with one-third the number of edges.

Page 21: Uniform distribution for a class of k-paradoxical oriented graphs

PART II: ALTERNATIVE METHODOLOGY, BEYOND POWER RESIDUES

Any good (pseudo )random tournament construction is bound to provide similar examples of paradoxical tournaments. k

The quasi random behavior of power residues well known ( . . Chung and Graham, - ,

Journal of Combinatorial Theory 61(1992)). Not surprisingly, the Graham and Spencer constructNe g Quasi random subsets of

ion works.

OUR ALTERNATIVE : uses one of the animating ideas of the undergraduate research program

at ONU: the greatest prime factor sequences ('GPF sequences')

0 1 10

0 1 1 2 2

GPF sequence of order : A prime sequence with , ,..., given

and ... for ( , not all zero)

n kn

n n n k n k j

k q q q q

q gpf a a x a x a x n k a

THE GPF CONJECTURE: Every GPF sequence is .ultimately periodic

1 Proved for 1 in the special case ( ) with | .n nk q gpf aq b a b

1 2 Proved for 2 in the special case ( )

(' ', G. Back and M. Caragiu, Fibonacci Quarterly, 2010).

Unique limit cycle 7,3,5,2

n n nk q gpf q q

GPF Fibonacci

1 Higher dimensional analogues investigated ( ' ' applies componentwise).

are prime vectors. A a nonnegative square matrix. UP proved in some special cases.

Computational evidence: U

n n

n

Q gpf AQ B gpf

Q

P appears to hold true in general.

Page 22: Uniform distribution for a class of k-paradoxical oriented graphs

1123 1n nq P q

0I. 658545674551q 0II. 6599q

LC: 587, 2777, 1109, 59, 191, 691, 467, 373, 37, 569, 17497, 31649, 1259, 7039, 2243

LC: 419, 353, 167, 10271, 631667, 251, 359, 22079, 2237, 593, 521, 433, 2663, 6551, 5519, 10949, 2371, 563, 277, 4259, 2543, 1009, 71, 397, 109

Example ( 1, multiple limit cycles)k

Page 23: Uniform distribution for a class of k-paradoxical oriented graphs

( 3, )EXAMPLE k GPF Tribonacci

1 2 3n n n nq gpf q q q

We found four distinct GPF-Tribonacci limit cycles, of lengths 100, 212, 28 and 6

1 126390 1103 , 2n nq gpf q q Maximum cycle element: 18964967822676015504193

Logarithmic plot

Page 24: Uniform distribution for a class of k-paradoxical oriented graphs

Pseudo-random 1 strings from GPF sequences

1, if 3 mod 4

1, if 2 or 1 mod 4i

ii i

qu

q q

A general construction of tournaments from sets of positive integers

1 2 1 2, ,...., define the tournament , ,...., as follows

Vertex set 1, 2,....,

, if gpf 3 mod 4 Edges: for 1 , we have

, otherwise

n n

i j

r r r T r r r

n

j i r ri j n

i j

Using GPF sequences in the above construction

1 2 1 2

1 2

METHOD 2: If , ,..., are GPF sequences, we produce tournaments , ,...,

Extensive computational evidence shows in general low cross correlations between , ,..., .

n ni i i i i i i

ni i i

q q q n T T q q q

q q q

1 1METHOD 1: If is a GPF sequence with a large period, we produce tournaments , ,...,i k k k k nq T T q q q

Preserve the standard order unless

the greatest prime factor of the sum

of the labels is congruent to 3 mod 4

Page 25: Uniform distribution for a class of k-paradoxical oriented graphs

,1

,21

,

,1 ,2 ,

METHOD 3: If = is an dimensional GPF sequence ,

we may use , , , . Again, extensive computational evidence shows in general

low cross correlati

i

ii i i

i d

i i i i n

q

qQ n Q gpf AQ B

q

T T q q q

,1 ,2 ,ons between , , , .i i i ni i iq q q

2

3

5

7

1113

17

19

23