On the M–property for distance–regular graphs€¦ · Distance–regular graphs Statement of...
Transcript of On the M–property for distance–regular graphs€¦ · Distance–regular graphs Statement of...
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
On the M–property for distance–regular graphs
E. Bendito A. Carmona A.M. Encinas M.Mitjana
Universitat Politecnica de Catalunya, Barcelona
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
M-matrix
Matrices with non–positive off–diagonal and non–negativediagonal entries
L=kI-A
k > 0,A ≥ 0 and the diagonal entries of A are less or equal to k
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
M-matrix
Matrices with non–positive off–diagonal and non–negativediagonal entries
L=kI-A
k > 0,A ≥ 0 and the diagonal entries of A are less or equal to k
If k ≥ ρ(A), then L is called an M–matrix
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
Where can we find M-matrices?
Finite difference methods for solving PDE
Growth models in economics
Markov processes in probability and statistics
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
Where can we find M-matrices?
Finite difference methods for solving PDE
Growth models in economics
Markov processes in probability and statistics
...the combinatorial Laplacian of a k-regular graph
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
Where can we find M-matrices?
Finite difference methods for solving PDE
Growth models in economics
Markov processes in probability and statistics
...the combinatorial Laplacian of a k-regular graph
Symmetric and irreducible M–matrices
non–singular 99K discrete Dirichlet problem 99K its inversecorresponds with the Green operator associated with theboundary value problem
singular 99K discrete Poisson equation 99K its Moore–Penroseinverse corresponds with the Green operator too
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
Generalized inverses. The Moore–Penrose inverse
A generalized inverse of matrix A
exists for a class of matrices larger than the class ofnon–singular matrices
has some of the properties of the usual inverse
reduces to the usual inverse when A is non–singular
For every finite matrix A there is a unique matrix X satisfying thePenrose equations
AXA = A (AX )∗ = AXXAX = X (XA)∗ = XA
X is the Moore–Penrose inverse, and it is denoted by A†
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
Statement of the Problem
If the M–matrix is non–singular its inverse has all entriespositive
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
Statement of the Problem
If the M–matrix is non–singular its inverse has all entriespositive
If the M–matrix is singular, it has a generalized inverse whichis non–negative
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
Statement of the Problem
If the M–matrix is non–singular its inverse has all entriespositive
If the M–matrix is singular, it has a generalized inverse whichis non–negative
Given an M–matrix, there exists a generalized inverse whichis also an M–matrix?
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
The Combinatorial Laplacian
When the Moore–Penrose inverse of the combinatorial Laplacian ofa graph is an M-matrix?
L† is an M–matrix iff L†ij ≤ 0 for any xi , xj ∈ V with i 6= j
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
The Combinatorial Laplacian
When the Moore–Penrose inverse of the combinatorial Laplacian ofa graph is an M-matrix?
L† is an M–matrix iff L†ij ≤ 0 for any xi , xj ∈ V with i 6= jExample: Petersen
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
The Combinatorial Laplacian
When the Moore–Penrose inverse of the combinatorial Laplacian ofa graph is an M-matrix?
L† is an M–matrix iff L†ij ≤ 0 for any xi , xj ∈ V with i 6= j
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
The Combinatorial Laplacian
When the Moore–Penrose inverse of the combinatorial Laplacian ofa graph is an M-matrix?
L† is an M–matrix iff L†ij ≤ 0 for any xi , xj ∈ V with i 6= j
Example: Cycle
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
The Combinatorial Laplacian
When the Moore–Penrose inverse of the combinatorial Laplacian ofa graph is an M-matrix?
L† is an M–matrix iff L†ij ≤ 0 for any xi , xj ∈ V with i 6= j
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
The Combinatorial Laplacian
When the Moore–Penrose inverse of the combinatorial Laplacian ofa graph is an M-matrix?
L† is an M–matrix iff L†ij ≤ 0 for any xi , xj ∈ V with i 6= j
When the Moore–Penrose inverse of the combinatorial Lapla-cian of a graph is the combinatorial Laplacian of a network?
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
Network
Finite network: Γ = (V ,E , c)
The conductance: c : V × V −→ [0,+∞) such that
{
c(x , x) = 0 for any x ∈ V
c(x , y) > 0 for x ∼ y .
C(V) is the set of real–valued functions on V
> the functions in C(V ) 99K R|V |
> the endomorphisms of C(V ) 99K |V |–order square matrices
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
Network
The combinatorial Laplacian of Γ
L(u)(x) =∑
y∈V
c(x , y)(
u(x)− u(y))
, x ∈ V
> L is a positive semi–definite self–adjoint operator
> L has 0 as its lowest eigenvalue whose associatedeigenfunctions are constant
> L can be interpreted as an irreducible, symmetric, diagonallydominant and singular M–matrix, L
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
Definition
Γ has the M–property iff L† is a M–matrix
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
PropertiesCharacterizationStrongly regular graphsDiameter three
Distance–regular graphs
Let Γ be a distance–regular graph with intersection array
ι(Γ) = {b0, b1, . . . , bD−1; c1, . . . , cD}
Γ is regular of degree k , and
k = b0, bD = c0 = 0, c1 = 1, ai + bi + ci = k
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
PropertiesCharacterizationStrongly regular graphsDiameter three
Examples
n–Cycle: ι(Cn) ={
2, 1, . . . , 1; 1, . . . , 1, cD
}
The Heawood Graph:ι(Γ) = {3, 2, 2; 1, 1, 3}
The Petersen Graph:ι(Γ) = {3, 2; 1, 1}
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
PropertiesCharacterizationStrongly regular graphsDiameter three
The intersection array ι(Γ)
Properties
i) k0 = 1 and ki =b0 · · · bi−1
c1 · · · ci, i = 1, . . . ,D
ii) n = 1 + k + k2 + · · ·+ kD
iii) k > b1 ≥ · · · ≥ bD−1 ≥ 1
iv) 1 ≤ c2 ≤ · · · ≤ cD ≤ k
v) If i + j ≤ D, then ci ≤ bj and ki ≤ kj when, in addition, i ≤ j
Proposition
Notation
> a1=λ
> c2=µ
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
PropertiesCharacterizationStrongly regular graphsDiameter three
Bipartite and Antipodal distance–regular graphs Γ
(i) Γ is bipartite iff ai = 0, i = 1, . . . ,D
(ii) Γ is antipodal iff bi = cD−i , i = 0, . . . ,D, i 6=⌊
D2
⌋
Distance–regular graphs with k ≥ 3 other than bipartite andantipodal are primitive
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
PropertiesCharacterizationStrongly regular graphsDiameter three
The Moore–Penrose inverse of a distance–regular graph
Lemma
Let Γ be a distance–regular graph.
L†ij =D−1∑
r=d(xi ,xj)
1
nkrbr
(
D∑
l=r+1
kl
)
−D−1∑
r=0
1
n2krbr
(
r∑
l=0
kl
)(
D∑
l=r+1
kl
)
for all i , j = 1, . . . , n
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
PropertiesCharacterizationStrongly regular graphsDiameter three
The M–property
Proposition
A distance–regular graph Γ has the M–property iff
D−1∑
j=1
1
kjbj
(
D∑
i=j+1
ki
)2≤
n − 1
k
Corollary
If Γ has the M–property and D ≥ 2, then
λ ≤ 3k −k2
n − 1− n
and hence n < 3k.
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
PropertiesCharacterizationStrongly regular graphsDiameter three
Small diameter
Proposition
If Γ is a distance–regular graph with the M–property, then
D ≤ 3
Proof.
If D ≥ 4, then from property (v) of the parameters
3k < 1 + 3k ≤ 1 + k + k2 + k3 ≤ n
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
PropertiesCharacterizationStrongly regular graphsDiameter three
Diameter two
Proposition
A strongly regular graph with parameters (n, k , λ, µ) has theM–property iff
µ ≥ k −k2
n − 1
Observation
Every antipodal strongly regular graph has the M–property
Petersen graph, (10, 3, 0, 1), does not have the M–property
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
PropertiesCharacterizationStrongly regular graphsDiameter three
Half of the strongly regular graphs have the M–property
Proposition
If Γ is a primitive strongly regular graph, then either Γ or Γ has the
M–property.
Conference Graph(4m + 1, 2m,m − 1,m)
The graphs Γ and Γ, both ofthem, have the M–property iffΓ is a conference graph
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
PropertiesCharacterizationStrongly regular graphsDiameter three
Diameter three
Proposition
A distance–regular graph with D = 3 has the M–property iff
k2b1
(
b2c2 + (b2 + c3)2)
≤ c22c23 (n − 1)
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
PropertiesCharacterizationStrongly regular graphsDiameter three
Bipartite distance–regular graph with D = 3
ι(Γ) = {k , k − 1, k − µ; 1, µ, k}
Proposition
Γ satisfies the M–property iff4k
5≤ µ ≤ k − 1
In particular, k ≥ 5
Corollary
When, 1 ≤ µ < k − 1, then either Γ or Γ3 has the M–property,
except when
k − 1 < 5µ < 4k
in which case none of them has the M–property
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
PropertiesCharacterizationStrongly regular graphsDiameter three
Antipodal distance–regular graph
ι(Γ) = {k , tµ, 1; 1, µ, k}
Proposition
An antipodal distance–regular graph with D = 3 has the
M–property iff it is a Taylor graph T (k , µ) such that k ≥ 5 and
k + 3
2≤ µ < k
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
PropertiesCharacterizationStrongly regular graphsDiameter three
Antipodal distance–regular graph
Corollary
If Γ is the Taylor graph T (k , µ) with 1 ≤ µ ≤ k − 2, then
either Γ or Γ2 has the M–property, except when
µ ∈ {m − 2,m − 1,m,m + 1} when k = 2m and
µ ∈ {m − 1,m,m + 1} when k = 2m + 1, in which case
none of them has the M–property.
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
PropertiesCharacterizationStrongly regular graphsDiameter three
Bipartite and antipodal distance–regular graph with D = 3
ι(Γ) = {k , k − 1, 1; 1, k − 1, k}
k–Crown graphs:
They are Taylor graphs with µ = k − 1 and hence they
have the M–property iff k ≥ 5
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
PropertiesCharacterizationStrongly regular graphsDiameter three
Primitive case
Lemma
k2 = k iff Γ is either C6, C7 or T (µ, k)
Proposition
If Γ satisfies the M–property, then
1 < c2 ≤ b1 < 2c2 b2 < c3 k3 ≤ k − 3
Moreover, k ≥ 6 and c2 < b1 when Γ is not a Taylor graph
Corollary
If Γ satisfies the M–property, then b2 < b1 < k and 1 < c2 < c3
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
PropertiesCharacterizationStrongly regular graphsDiameter three
Primitive case
Lemma
k2 = k iff Γ is either C6, C7 or T (µ, k)
Proposition
If Γ satisfies the M–property, then
1 < c2 ≤ b1 < 2c2 b2 < c3 k3 ≤ k − 3
Moreover, k ≥ 6 and c2 < b1 when Γ is not a Taylor graph
Corollary
If Γ satisfies the M–property, then b2 < b1 < k and 1 < c2 < c3
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
PropertiesCharacterizationStrongly regular graphsDiameter three
Facts
None of the Shilla graphs satisfy the M–property
None of the families of primitive distance–regular graphs withdiameter 3 satisfy the M–property
Conjecture
No primitive distance–regular graph with D = 3 satisfy the
M–property.
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
PropertiesCharacterizationStrongly regular graphsDiameter three
Thank you!
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
PropertiesCharacterizationStrongly regular graphsDiameter three
The 5-Cycle has the M–property
The Moore–Penrose inverse of L is an M–matrix
L =
2 −1 0 0 −1−1 2 −1 0 00 −1 2 −1 00 0 −1 2 −1−1 0 0 −1 2
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
PropertiesCharacterizationStrongly regular graphsDiameter three
The 5-Cycle has the M–property
The Moore–Penrose inverse of L is an M–matrix
L =
2 −1 0 0 −1−1 2 −1 0 00 −1 2 −1 00 0 −1 2 −1−1 0 0 −1 2
L† =
2/5 0 −1/5 −1/5 00 2/5 0 −1/5 −1/5
−1/5 0 2/5 0 −1/5−1/5 −1/5 0 2/5 00 −1/5 −1/5 0 2/5
M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
PropertiesCharacterizationStrongly regular graphsDiameter three
The 5-Cycle has the M–property
The Moore–Penrose inverse of L is an M–matrix
L =
2 −1 0 0 −1−1 2 −1 0 00 −1 2 −1 00 0 −1 2 −1−1 0 0 −1 2
L† =
2/5 0 −1/5 −1/5 00 2/5 0 −1/5 −1/5
−1/5 0 2/5 0 −1/5−1/5 −1/5 0 2/5 00 −1/5 −1/5 0 2/5
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M.Mitjana On the M–property for distance–regular graphs
–IWONT 11, Brussels 2011–
IntroductionThe M–property
Distance–regular graphs
PropertiesCharacterizationStrongly regular graphsDiameter three
Petersen Graph does NOT have the M–property
The Moore–Penrose inverse of L is NOT an M–matrix
(L†)ii = 0.33(L†)ij = 0.03 if d(xi , xj ) = 1(L†)ij = −0.07 if d(xi , xj ) = 2
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M.Mitjana On the M–property for distance–regular graphs