Wiki
Wiki

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Superseded.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=0D=K=0 for the original coloring: every color has independence exactly rr, 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 The weaker palette estimates below remain valid but are superseded.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 rr-coloring of Kr2+1K_{r^2+1}, r≥3r\ge3, has α(Gi)≤r\alpha(G_i)\le r in every color. Write pa(n)p_a(n) for the minimum edge count of an nn-vertex graph with independence at most aa: if n=aq+bn=aq+b, 0≤b<a0\le b<a, then pa(n)=a(q2)+qbp_a(n)=a\binom q2+qb.

A coupled minimum-degree decomposition

More generally, consider a complete-graph coloring on nn vertices with independence upper bounds a1,…,ar≥1a_1,\ldots,a_r\ge1. Fix color ii. Repeatedly choose a minimum-degree vertex in its current induced residual and remove its closed neighborhood AA. If s=∣A∣s=|A|, at least

∑x∈Ad(x)−ei(A)≥s(s−1)−ei(A)=(s2)+e‾i(A)≥fi(s):=(s2)+∑j≠ipaj(s)(1)\sum_{x\in A}d(x)-e_i(A) \ge s(s-1)-e_i(A) =\binom s2+\overline e_i(A) \ge f_i(s):=\binom s2+\sum_{j\ne i}p_{a_j}(s) \tag{1}

color-ii 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 aia_i blocks.

Pad their sizes with zeros to aia_i entries. The discrete increments

fi(s+1)−fi(s)=s+∑j≠i⌊s/aj⌋f_i(s+1)-f_i(s)=s+\sum_{j\ne i}\lfloor s/a_j\rfloor

are nondecreasing. Balancing the entries therefore minimizes their total cost. If n=aiu+vn=a_i u+v, 0≤v<ai0\le v<a_i, this proves

e(Gi)≥(ai−v)fi(u)+vfi(u+1).(2)\boxed{e(G_i)\ge(a_i-v)f_i(u)+vf_i(u+1).} \tag{2}

This uses the other colors on every block, rather than just their contribution to the (r+1)(r+1)-vertex cap.

The incident palette is larger than four fifths of all colors

Fix a vertex vv, let qq colors be absent there, and put k=r−qk=r-q. On the other r2r^2 vertices every absent color has independence at most r−1r-1, and every present color has independence at most rr. For a missing color the balanced block sizes in (2) are one r+2r+2 and r−2r-2 copies of r+1r+1. For a present color they are rr copies of rr. Thus

e(Gi−v)≥r3+r+22+(q−1)(2r−1)+krif i is absent,e(Gi−v)≥r3−r22+qrif i is present.(3)\begin{aligned} e(G_i-v)&\ge\frac{r^3+r+2}{2}+(q-1)(2r-1)+kr &&\text{if $i$ is absent},\\ e(G_i-v)&\ge\frac{r^3-r^2}{2}+qr &&\text{if $i$ is present}. \end{aligned} \tag{3}

For r≥4r\ge4, the other-missing-color contribution to the first line is exactly (r−2)pr−1(r+1)+pr−1(r+2)=2r−1(r-2)p_{r-1}(r+1)+p_{r-1}(r+2)=2r-1. For r=3r=3 that expression is six, larger than 2r−1=52r-1=5, so the displayed lower bound remains valid.

Sum (3) and compare with (r22)\binom{r^2}{2} to obtain

q(5r2−3r+4−2q)≤r2(r−1).(4)\boxed{q(5r^2-3r+4-2q)\le r^2(r-1).} \tag{4}

Since q≤rq\le r, the coefficient on the left is at least 5r(r−1)+45r(r-1)+4. If q≥r/5q\ge r/5, (4) is impossible. Consequently

k>4r/5.(5)\boxed{k>4r/5.} \tag{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 r2r^2 vertices of independence at most r−1r-1, the same greedy decomposition gives e(G)≥∑j[(sj2)+hj]e(G)\ge\sum_j[\binom{s_j}{2}+h_j], where hjh_j counts nonedges within a removed block. Put aj=sj−ra_j=s_j-r after padding to r−1r-1 blocks, so ∑aj=r\sum a_j=r. If mm entries are positive, then ∑aj2≥r2/m\sum a_j^2\ge r^2/m, and the local cap gives hj≥r−1h_j\ge r-1 at each positive entry. It follows that

e(G)−pr−1(r2)≥r2(r−1)−r+22.e(G)-p_{r-1}(r^2) \ge r\sqrt{2(r-1)}-\frac{r+2}{2}.

Summing this over missing colors yields the input's (22+o(1))r(2\sqrt2+o(1))\sqrt 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,YX,Y be disjoint nonempty sets, of sizes x,yx,y, and suppose aa colors are absent between them. For an absent color its two independence numbers sum to at most rr. The continuous Turán bound and Cauchy--Schwarz give

2ei(X)+2ei(Y)≥(x+y)2/r−(x+y).2e_i(X)+2e_i(Y)\ge (x+y)^2/r-(x+y).

For another color the corresponding lower bound is (x2+y2)/r−(x+y)(x^2+y^2)/r-(x+y). Summing, using the exact internal edge partition, gives

a≤r(r−1)2(1x+1y).(6)\boxed{a\le\frac{r(r-1)}2\left(\frac1x+\frac1y\right).} \tag{6}

In particular a balanced bipartition of the entire vertex set uses at least r−1r-1 colors: substitute x=⌊(r2+1)/2⌋x=\lfloor(r^2+1)/2\rfloor, y=⌈(r2+1)/2⌉y=\lceil(r^2+1)/2\rceil 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+tx=y=r+t with 1≤2t≤r1\le2t\le r, let kk colors occur across the cut. Each such color needs at least 2pr(r+t)=2t2p_r(r+t)=2t internal edges. In an absent color, the disjoint union of its graphs on the two sides has independence at most rr, so needs at least pr(2r+2t)=r+4tp_r(2r+2t)=r+4t edges. Therefore

k(r+2t)≥r(2t+1)+t−t2.(7)\boxed{k(r+2t)\ge r(2t+1)+t-t^2.} \tag{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+1r=2u+1 is odd and t=ut=u. Equality in the absent-color bound would require the disjoint union on the two sides to be the Turán minimizer with 2u2u 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+1r+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.k(r+2t+1)\ge r(2t+2)+t-t^2.

The added edge is attainable as a two-side graph bound by using balanced unions of respectively uu and u+1u+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

di=r−α(Gi),ki=∣{v:dGi(v)=0}∣,D=∑idi,K=∑iki.d_i=r-\alpha(G_i),\qquad k_i=|\{v:d_{G_i}(v)=0\}|,\qquad D=\sum_i d_i,\quad K=\sum_i k_i.

Thus KK counts missing vertex--color incidences, with multiplicity. Then

5D+4K<r.(8)\boxed{5D+4K<r.} \tag{8}

In particular at least r2+1−⌊(r−1)/4⌋r^2+1-\lfloor(r-1)/4\rfloor vertices see every color, and at most ⌊(r−1)/5⌋\lfloor(r-1)/5\rfloor colors have independence number below rr. These are necessary conditions, not a contradiction.

A preliminary linear bound

Write ℓi=di+ki\ell_i=d_i+k_i, L=D+KL=D+K. Removing the kik_i isolated vertices of color ii leaves N−kiN-k_i vertices of independence ai=r−ℓi≥1a_i=r-\ell_i\ge1, where N=r2+1N=r^2+1. Positivity follows because the original graph cannot be edgeless. Every other color still has independence at most rr.

Apply (1) with the common block cost f(s)=(s2)+(r−1)pr(s)f(s)=\binom s2+(r-1)p_r(s). For integer s≥0s\ge0,

(s2)≥rs−r(r+1)2,pr(s)≥s−r.\binom s2\ge rs-\frac{r(r+1)}2,\qquad p_r(s)\ge s-r.

Thus

f(s)≥(2r−1)s−3r2−r2.f(s)\ge(2r-1)s-\frac{3r^2-r}{2}.

There are at most aia_i nonempty blocks. Summing this supporting line gives

e(Gi)≥pr(N)+r−1+3r2−r2ℓi−(2r−1)ki.e(G_i)\ge p_r(N)+r-1 +\frac{3r^2-r}{2}\ell_i-(2r-1)k_i.

Comparison of the sum with the complete edge count yields

(3r2−r)L−(4r−2)K≤r(r−1)(r−2).(3r^2-r)L-(4r-2)K\le r(r-1)(r-2).

Since K≤LK\le L,

L≤r(r−2)3r−2<r−13.(9)L\le\frac{r(r-2)}{3r-2}<\frac{r-1}{3}. \tag{9}

A common residual when K is positive

Suppose K≥1K\ge1. Delete every vertex isolated in some color, then additional vertices as needed so that exactly KK 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.n=r^2+1-K,\qquad \alpha(G_i[W])\le a_i=r-\ell_i.

Indeed an independent set in this residual can be united with all the original kik_i color-ii isolates.

In the balanced block decomposition for color ii, the cost from color jj is at least [n−aiaj]+[n-a_i a_j]_+, using paj(s)≥[s−aj]+p_{a_j}(s)\ge[s-a_j]_+ and convexity. The own-color binomial cost is pai(n)p_{a_i}(n). Consequently

e(Gi[W])≥pai(n)+∑j≠i[n−aiaj]+.(10)e(G_i[W])\ge p_{a_i}(n)+\sum_{j\ne i}[n-a_i a_j]_+. \tag{10}

Only this lower bound is needed; no equality assertion about the block costs is required.

Both terms are minimized by spreading the LL units of defect over LL distinct colors. For the first term, use

pa(n)=max⁡t≥0, t∈Z(tn−a t(t+1)2),p_a(n)=\max_{t\ge0,\ t\in\mathbb Z} \left(tn-\frac{a\,t(t+1)}2\right),

which is convex as a function of aa, hence also of ℓ=r−a\ell=r-a. Discrete convexity gives

∑ipai(n)≥(r−L)pr(n)+Lpr−1(n).(11)\sum_i p_{a_i}(n)\ge(r-L)p_r(n)+Lp_{r-1}(n). \tag{11}

For the pair term, let qq count positive ℓi\ell_i and put S2=∑iℓi2S_2=\sum_i\ell_i^2. A pair with both defects zero has n−aiaj=1−K≤0n-a_i a_j=1-K\le0. Every other pair has this expression positive, since aiaj≤r(r−1)a_i a_j\le r(r-1) and K<rK<r. Expansion therefore gives

∑i≠j[n−aiaj]+=r(r−1)(1−K)+2r(r−1)L−L2+S2+(K−1)(r−q)(r−q−1).\begin{aligned} \sum_{i\ne j}[n-a_i a_j]_+ ={}&r(r-1)(1-K)+2r(r-1)L-L^2+S_2\\ &+(K-1)(r-q)(r-q-1). \end{aligned}

Here S2≥LS_2\ge L, q≤Lq\le L, and K−1≥0K-1\ge0. The minimum is therefore attained at LL unit defects, and is

2L(r−L)(r+1−K)+L(L−1)(2r−K).(12)2L(r-L)(r+1-K)+L(L-1)(2r-K). \tag{12}

The integer bound (9) ensures L<rL<r, as needed for this comparison configuration.

For the base terms,

pr(n)=(r−1)(r2+2−2K)2,pr−1(n)≥r(r2+3−2K)2.p_r(n)=\frac{(r-1)(r^2+2-2K)}2,\qquad p_{r-1}(n)\ge\frac{r(r^2+3-2K)}2.

The latter follows by taking t=rt=r in the preceding maximum formula; it loses one edge when K=1K=1 and is exact for K≥2K\ge2 in this range. Summing (10), substituting (11)--(12), and comparing with (n2)\binom n2 gives

P(r,K,L)≥0,(13)P(r,K,L)\ge0, \tag{13}

where

P(r,K,L)=r3−(5L+1)r2+(4KL−2K−L+2)r+K2−2KL2−K+4L2−2L.\begin{aligned} P(r,K,L)={}&r^3-(5L+1)r^2+(4KL-2K-L+2)r\\ &+K^2-2KL^2-K+4L^2-2L. \end{aligned}

The polynomial comparison

For 0≤K,L<r/30\le K,L<r/3, the derivative

PL=−5r2+(4K−1)r−4KL+8L−2P_L=-5r^2+(4K-1)r-4KL+8L-2

is negative. At L0=(r+K)/5<r/3L_0=(r+K)/5<r/3,

25P(r,K,L0)=−2K3+16K2r+29K2−7Kr2−47Kr−35K−26r2+40r<0.\begin{aligned} 25P(r,K,L_0)={}&-2K^3+16K^2r+29K^2-7Kr^2\\ &-47Kr-35K-26r^2+40r<0. \end{aligned}

For the strict sign use K<r/3K<r/3: 16K2r−7Kr2≤−5Kr2/316K^2r-7Kr^2\le-5Kr^2/3, 29K2−47Kr≤−112Kr/329K^2-47Kr\le-112Kr/3, and −26r2+40r<0-26r^2+40r<0 for r≥3r\ge3. Thus (13) forces L<L0L<L_0, or 5L−K=5D+4K<r5L-K=5D+4K<r.

If K=0K=0, use the whole vertex set. All pair expressions N−aiajN-a_i a_j are positive, and the same convex spreading gives directly

R(L):=r(r−1)(r−2)−L(5r2−3r+6)+2L2≥0.R(L):=r(r-1)(r-2)-L(5r^2-3r+6)+2L^2\ge0.

This polynomial decreases on 0≤L<r/30\le L<r/3, while R(r/5)=−2r(29r−10)/25<0R(r/5)=-2r(29r-10)/25<0. Hence 5L=5D<r5L=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 XX be a vertex set, put m=∣X∣m=|X|, and define

LX=∑i=1r(r−α(Gi−X)).L_X=\sum_{i=1}^r\bigl(r-\alpha(G_i-X)\bigr).

For 1≤m≤r1\le m\le r, one has

r3−(5r2−4mr)LX−2mLX2>0.(14)\boxed{ r^3-(5r^2-4mr)L_X-2mL_X^2>0. } \tag{14}

In addition,

5LX−m<r(1≤m≤r/3).(15)\boxed{5L_X-m<r\qquad(1\le m\le r/3).} \tag{15}

In particular, deleting any rr vertices decreases the sum of the color independence numbers by less than r/2r/2. Equivalently, this total decrease is at most ⌊(r−1)/2⌋\lfloor(r-1)/2\rfloor. The interpretation as a decrease uses the stronger result α(Gi)=r\alpha(G_i)=r for every original color, proved in the critical-component reduction. For X=∅X=\varnothing, that result gives LX=0L_X=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∖XW=V\setminus X, n=r2+1−mn=r^2+1-m, ai=α(Gi[W])a_i=\alpha(G_i[W]), ℓi=r−ai\ell_i=r-a_i, and L=∑iℓi=LXL=\sum_i\ell_i=L_X. All aia_i are positive. The continuous Turán bound, summed over the exact edge partition on WW, gives

∑i1ai≤n+r−1n.\sum_i\frac1{a_i}\le\frac{n+r-1}{n}.

Cauchy--Schwarz therefore implies

r2r2−L≤n+r−1n,L≤r2(r−1)r2+r−m≤r−1<r.(16)\frac{r^2}{r^2-L}\le\frac{n+r-1}{n},\qquad L\le\frac{r^2(r-1)}{r^2+r-m}\le r-1<r. \tag{16}

Thus spreading the LL integral defect units over distinct colors is an available comparison configuration; no preliminary isolate bound is needed.

Apply the coupled block estimate (10) on WW:

e(Gi[W])≥pai(n)+∑j≠i[n−aiaj]+.e(G_i[W])\ge p_{a_i}(n) +\sum_{j\ne i}[n-a_i a_j]_+.

The convex representation of pa(n)p_a(n) used in (11) gives

∑ipai(n)≥(r−L)pr(n)+Lpr−1(n).\sum_i p_{a_i}(n)\ge(r-L)p_r(n)+Lp_{r-1}(n).

For completeness, the pair term is also minimized by unit defects. Let qq count positive ℓi\ell_i, and let S2=∑iℓi2S_2=\sum_i\ell_i^2. A pair with both defects zero has n−aiaj=1−m≤0n-a_i a_j=1-m\le0; every other pair has this expression positive, since m≤rm\le r. Consequently

∑i≠j[n−aiaj]+=r(r−1)(1−m)+2r(r−1)L−L2+S2+(m−1)(r−q)(r−q−1).\begin{aligned} \sum_{i\ne j}[n-a_i a_j]_+ ={}&r(r-1)(1-m)+2r(r-1)L-L^2+S_2\\ &+(m-1)(r-q)(r-q-1). \end{aligned}

Here S2≥LS_2\ge L, q≤L<rq\le L<r, and m−1≥0m-1\ge0. Substituting the unit-defect comparison therefore yields the lower bound

2L(r−L)(r+1−m)+L(L−1)(2r−m).2L(r-L)(r+1-m)+L(L-1)(2r-m).

Throughout 1≤m≤r1\le m\le r,

pr(n)=(r−1)(r2+2−2m)2,pr−1(n)≥r(r2+3−2m)2.p_r(n)=\frac{(r-1)(r^2+2-2m)}2,\qquad p_{r-1}(n)\ge\frac{r(r^2+3-2m)}2.

The second estimate is the supporting line with integer parameter t=rt=r in the maximum formula for pa(n)p_a(n); it loses one edge at m=1m=1 and is exact for 2≤m≤r2\le m\le r.

Summing the edge lower bounds and comparing with (n2)\binom n2 gives the same polynomial as in (13), now with an arbitrary deletion size:

P(r,m,L)≥0,(17)\boxed{P(r,m,L)\ge0,} \tag{17}

where

P(r,m,L)=r3−(5L+1)r2+(4mL−2m−L+2)r+m2−2mL2−m+4L2−2L.\begin{aligned} P(r,m,L)={}&r^3-(5L+1)r^2+(4mL-2m-L+2)r\\ &+m^2-2mL^2-m+4L^2-2L. \end{aligned}

Polynomial comparisons

For 1≤m≤r1\le m\le r, the polynomial is strictly decreasing in LL on 0≤L≤r0\le L\le r, because

PL=−5r2+(4m−1)r+(8−4m)L−2<0.P_L=-5r^2+(4m-1)r+(8-4m)L-2<0.

If m≥2m\ge2, drop the nonpositive LL term and use m≤rm\le r; if m=1m=1, use L≤rL\le r to obtain PL≤−5r2+7r−2<0P_L\le-5r^2+7r-2<0.

At L0=(2r+3m)/10L_0=(2r+3m)/10 one has the exact evaluation

100P(r,m,L0)=−2[3m(m−r)(3m−13r)+m(91r−68m)+80m+52r2−80r]<0.\begin{aligned} 100P(r,m,L_0)=-2\bigl[&3m(m-r)(3m-13r) +m(91r-68m)\\ &+80m+52r^2-80r\bigr]<0. \end{aligned}

Indeed the first term in brackets is nonnegative for m≤rm\le r, the second is positive, and 52r2−80r>052r^2-80r>0 for r≥3r\ge3. Together with (16)--(17), monotonicity gives

10L−3m<2r,L<r/2.(18)10L-3m<2r,\qquad L<r/2. \tag{18}

Let

F(r,m,L)=r3−(5r2−4mr)L−2mL2.F(r,m,L)=r^3-(5r^2-4mr)L-2mL^2.

The remaining terms satisfy

P−F=4L2−(r+2)L−r2+2r+m2−2mr−m≤4L2−(r+2)L−r2+2r<0\begin{aligned} P-F &=4L^2-(r+2)L-r^2+2r+m^2-2mr-m\\ &\le4L^2-(r+2)L-r^2+2r<0 \end{aligned}

for 0≤L≤r/20\le L\le r/2. For the last strict sign, the expression is convex in LL, and its endpoint values are −r2+2r-r^2+2r and −r2/2+r-r^2/2+r, both negative for r≥3r\ge3. Thus (17) implies F>0F>0, proving (14).

Finally suppose m≤r/3m\le r/3. At L1=(r+m)/5L_1=(r+m)/5, the exact evaluation already used for the isolate argument reads

25P(r,m,L1)=−2m3+16m2r+29m2−7mr2−47mr−35m−26r2+40r<0.\begin{aligned} 25P(r,m,L_1)={}&-2m^3+16m^2r+29m^2-7mr^2\\ &-47mr-35m-26r^2+40r<0. \end{aligned}

The strict sign follows from 16m2r−7mr2≤−5mr2/316m^2r-7mr^2\le-5mr^2/3, 29m2−47mr≤−112mr/329m^2-47mr\le-112mr/3, and −26r2+40r<0-26r^2+40r<0. Monotonicity and (17) give L<L1L<L_1, proving (15). No hypothesis about isolated vertices or original independence defects is used in this common-deletion proof.