Research notes on every problem, and a library of the papers behind them. Built from the open erdos repository.
Updated
Palette and cut bounds
Superseded. The
critical-component reduction proves D=K=0
for the original coloring: every color has independence exactly r, and every
vertex sees every color. The weaker palette estimates below remain valid but are
superseded. Their residual
counting arguments are retained separately from this stronger conclusion.
Proved necessary conditions, not a resolution. These strengthen Section 6 of
the second independent input.
Throughout an r-coloring of Kr2+1, r≥3, has α(Gi)≤r in
every color. Write pa(n) for the minimum edge count of an n-vertex graph
with independence at most a: if n=aq+b, 0≤b<a, then
pa(n)=a(2q)+qb.
A coupled minimum-degree decomposition
More generally, consider a complete-graph coloring on n vertices
with independence upper bounds a1,…,ar≥1. Fix color i.
Repeatedly choose a minimum-degree vertex in its current induced
residual and remove its closed neighborhood A. If s=∣A∣, at
least
color-i edges are removed at this step. Degrees in (1) are in
the current residual, not the original graph. The selected vertices
are independent, so there are at most ai blocks.
Pad their sizes with zeros to ai entries. The discrete increments
fi(s+1)−fi(s)=s+j=i∑⌊s/aj⌋
are nondecreasing. Balancing the entries therefore minimizes their
total cost. If n=aiu+v, 0≤v<ai, this proves
e(Gi)≥(ai−v)fi(u)+vfi(u+1).(2)
This uses the other colors on every block, rather than just their
contribution to the (r+1)-vertex cap.
The incident palette is larger than four fifths of all colors
Fix a vertex v, let q colors be absent there, and put k=r−q.
On the other r2 vertices every absent color has independence at
most r−1, and every present color has independence at most r.
For a missing color the balanced block sizes in (2) are one r+2
and r−2 copies of r+1. For a present color they are r
copies of r. Thus
e(Gi−v)e(Gi−v)≥2r3+r+2+(q−1)(2r−1)+kr≥2r3−r2+qrif i is absent,if i is present.(3)
For r≥4, the other-missing-color contribution to the first
line is exactly (r−2)pr−1(r+1)+pr−1(r+2)=2r−1.
For r=3 that expression is six, larger than 2r−1=5, so
the displayed lower bound remains valid.
Sum (3) and compare with (2r2) to obtain
q(5r2−3r+4−2q)≤r2(r−1).(4)
Since q≤r, the coefficient on the left is at least
5r(r−1)+4. If q≥r/5, (4) is impossible. Consequently
k>4r/5.(5)
The decomposition, convexity, and summation were independently
checked. There is no conclusion that every vertex sees every color.
Comparison with the independent square-root bound
The independent argument is valid under its weaker single-graph
hypotheses. For a graph on r2 vertices of independence at most
r−1, the same greedy decomposition gives
e(G)≥∑j[(2sj)+hj], where hj counts
nonedges within a removed block. Put aj=sj−r after padding
to r−1 blocks, so ∑aj=r. If m entries are positive,
then ∑aj2≥r2/m, and the local cap gives
hj≥r−1 at each positive entry. It follows that
e(G)−pr−1(r2)≥r2(r−1)−2r+2.
Summing this over missing colors yields the input's
(22+o(1))r incident-palette bound. Equations
(1)--(5) are stronger for actual colorings, because their block
cost uses all the other independence bounds simultaneously.
Colors across a cut
Let X,Y be disjoint nonempty sets, of sizes x,y, and suppose
a colors are absent between them. For an absent color its two
independence numbers sum to at most r. The continuous Turán
bound and Cauchy--Schwarz give
2ei(X)+2ei(Y)≥(x+y)2/r−(x+y).
For another color the corresponding lower bound is
(x2+y2)/r−(x+y). Summing, using the exact internal edge
partition, gives
a≤2r(r−1)(x1+y1).(6)
In particular a balanced bipartition of the entire vertex set
uses at least r−1 colors: substitute
x=⌊(r2+1)/2⌋, y=⌈(r2+1)/2⌉
to make the right side strictly smaller than two. This is not
a claim about arbitrary small equal-sized disjoint sets.
For x=y=r+t with 1≤2t≤r, let k colors occur across
the cut. Each such color needs at least 2pr(r+t)=2t internal
edges. In an absent color, the disjoint union of its graphs on
the two sides has independence at most r, so needs at least
pr(2r+2t)=r+4t edges. Therefore
k(r+2t)≥r(2t+1)+t−t2.(7)
This verifies the input's rounded cut bound. These inequalities
exclude bounded incident palettes and some fixed-template blowups;
they do not force either remaining core into the range of an
established exclusion theorem.
There is one further rounding improvement when r=2u+1 is odd
and t=u. Equality in the absent-color bound would require the
disjoint union on the two sides to be the Turán minimizer with
2u clique components of order three and one of order two.
One side contains no order-two component, so its order would be divisible
by three, contrary to r+t=3u+1. Each absent color therefore
costs at least one more edge. The strengthened inequality is
k(r+2t+1)≥r(2t+2)+t−t2.
The added edge is attainable as a two-side graph bound by using
balanced unions of respectively u and u+1 cliques on the
two sides. This is a bound on one cut, not a coloring construction.
A global independence and palette defect budget
Proved, author-recorded. A further consequence of
the coupled block cost is much stronger than an individual
vertex-palette estimate. Put
Thus K counts missing vertex--color incidences, with multiplicity.
Then
5D+4K<r.(8)
In particular at least
r2+1−⌊(r−1)/4⌋ vertices see every color,
and at most ⌊(r−1)/5⌋ colors have independence
number below r. These are necessary conditions, not a
contradiction.
A preliminary linear bound
Write ℓi=di+ki, L=D+K. Removing the ki isolated
vertices of color i leaves N−ki vertices of independence
ai=r−ℓi≥1, where N=r2+1. Positivity follows
because the original graph cannot be edgeless. Every other
color still has independence at most r.
Apply (1) with the common block cost
f(s)=(2s)+(r−1)pr(s). For integer s≥0,
(2s)≥rs−2r(r+1),pr(s)≥s−r.
Thus
f(s)≥(2r−1)s−23r2−r.
There are at most ai nonempty blocks. Summing this supporting
line gives
e(Gi)≥pr(N)+r−1+23r2−rℓi−(2r−1)ki.
Comparison of the sum with the complete edge count yields
(3r2−r)L−(4r−2)K≤r(r−1)(r−2).
Since K≤L,
L≤3r−2r(r−2)<3r−1.(9)
A common residual when K is positive
Suppose K≥1. Delete every vertex isolated in some color,
then additional vertices as needed so that exactly K vertices
are deleted. This is possible even if the isolate sets overlap.
The common residual has
n=r2+1−K,α(Gi[W])≤ai=r−ℓi.
Indeed an independent set in this residual can be united with
all the original ki color-i isolates.
In the balanced block decomposition for color i, the cost
from color j is at least
[n−aiaj]+, using paj(s)≥[s−aj]+
and convexity. The own-color binomial cost is pai(n).
Consequently
e(Gi[W])≥pai(n)+j=i∑[n−aiaj]+.(10)
Only this lower bound is needed; no equality assertion about
the block costs is required.
Both terms are minimized by spreading the L units of
defect over L distinct colors. For the first term, use
pa(n)=t≥0,t∈Zmax(tn−2at(t+1)),
which is convex as a function of a, hence also of ℓ=r−a.
Discrete convexity gives
i∑pai(n)≥(r−L)pr(n)+Lpr−1(n).(11)
For the pair term, let q count positive ℓi and put
S2=∑iℓi2. A pair with both defects zero has
n−aiaj=1−K≤0. Every other pair has this expression
positive, since aiaj≤r(r−1) and K<r.
Expansion therefore gives
Here S2≥L, q≤L, and K−1≥0.
The minimum is therefore attained at L unit defects, and is
2L(r−L)(r+1−K)+L(L−1)(2r−K).(12)
The integer bound (9) ensures L<r, as needed for this
comparison configuration.
For the base terms,
pr(n)=2(r−1)(r2+2−2K),pr−1(n)≥2r(r2+3−2K).
The latter follows by taking t=r in the preceding maximum
formula; it loses one edge when K=1 and is exact for
K≥2 in this range. Summing (10), substituting (11)--(12),
and comparing with (2n) gives
For the strict sign use K<r/3:
16K2r−7Kr2≤−5Kr2/3,
29K2−47Kr≤−112Kr/3, and
−26r2+40r<0 for r≥3.
Thus (13) forces L<L0, or 5L−K=5D+4K<r.
If K=0, use the whole vertex set. All pair expressions
N−aiaj are positive, and the same convex spreading
gives directly
R(L):=r(r−1)(r−2)−L(5r2−3r+6)+2L2≥0.
This polynomial decreases on 0≤L<r/3, while
R(r/5)=−2r(29r−10)/25<0. Hence 5L=5D<r.
This completes the proof of (8).
The initial bound, common deletion, defect spreading, and two
polynomial comparisons were checked by the author and are
author-recorded. This is a
side result of the later investigation, using the already
established block method; it is distinct from the new
semidefinite critical-witness approach.
A common-deletion bound for maximum independent sets
Proved necessary condition. The preceding argument extends from
isolated vertices to an arbitrary common deletion. Let X be a vertex
set, put m=∣X∣, and define
LX=i=1∑r(r−α(Gi−X)).
For 1≤m≤r, one has
r3−(5r2−4mr)LX−2mLX2>0.(14)
In addition,
5LX−m<r(1≤m≤r/3).(15)
In particular, deleting any r vertices decreases the sum of the
color independence numbers by less than r/2. Equivalently, this
total decrease is at most ⌊(r−1)/2⌋. The interpretation
as a decrease uses the stronger result α(Gi)=r for every
original color, proved in the
critical-component reduction.
For X=∅, that result gives LX=0 directly.
These inequalities bound simultaneous vertex sets meeting every maximum
independent set in several colors. They do not prove that a violating
common deletion exists.
Preliminary bound and the exact polynomial
Write W=V∖X, n=r2+1−m, ai=α(Gi[W]),
ℓi=r−ai, and L=∑iℓi=LX. All ai are positive.
The continuous Turán bound, summed over the exact edge partition on
W, gives
i∑ai1≤nn+r−1.
Cauchy--Schwarz therefore implies
r2−Lr2≤nn+r−1,L≤r2+r−mr2(r−1)≤r−1<r.(16)
Thus spreading the L integral defect units over distinct colors is
an available comparison configuration; no preliminary isolate bound
is needed.
Apply the coupled block estimate (10) on W:
e(Gi[W])≥pai(n)+j=i∑[n−aiaj]+.
The convex representation of pa(n) used in (11) gives
i∑pai(n)≥(r−L)pr(n)+Lpr−1(n).
For completeness, the pair term is also minimized by unit defects.
Let q count positive ℓi, and let S2=∑iℓi2.
A pair with both defects zero has n−aiaj=1−m≤0;
every other pair has this expression positive, since m≤r.
Consequently
Here S2≥L, q≤L<r, and m−1≥0. Substituting the
unit-defect comparison therefore yields the lower bound
2L(r−L)(r+1−m)+L(L−1)(2r−m).
Throughout 1≤m≤r,
pr(n)=2(r−1)(r2+2−2m),pr−1(n)≥2r(r2+3−2m).
The second estimate is the supporting line with integer parameter
t=r in the maximum formula for pa(n); it loses one edge at
m=1 and is exact for 2≤m≤r.
Summing the edge lower bounds and comparing with (2n) gives
the same polynomial as in (13), now with an arbitrary deletion size:
for 0≤L≤r/2. For the last strict sign, the expression is
convex in L, and its endpoint values are −r2+2r and
−r2/2+r, both negative for r≥3. Thus (17) implies
F>0, proving (14).
Finally suppose m≤r/3. At L1=(r+m)/5, the exact evaluation
already used for the isolate argument reads
The strict sign follows from
16m2r−7mr2≤−5mr2/3,
29m2−47mr≤−112mr/3, and
−26r2+40r<0. Monotonicity and (17) give L<L1, proving
(15). No hypothesis about isolated vertices or original independence
defects is used in this common-deletion proof.