
In this paper, we review the underappreciated theorem by Lotz that tells us that every strongly continuous operator semigroup on a Grothendieck space with the Dunford-Pettis property is automatically uniformly continuous. A large class of spaces that carry these geometric properties are L∞(Ω,Σ,μ) for non-negative measure spaces. This shows once again that L∞-spaces have to be treated differently.
Citation: Christian Budde. Another special role of L∞-spaces-evolution equations and Lotz' theorem[J]. AIMS Mathematics, 2024, 9(12): 36158-36166. doi: 10.3934/math.20241716
[1] | Tahair Rasham, Muhammad Nazam, Hassen Aydi, Abdullah Shoaib, Choonkil Park, Jung Rye Lee . Hybrid pair of multivalued mappings in modular-like metric spaces and applications. AIMS Mathematics, 2022, 7(6): 10582-10595. doi: 10.3934/math.2022590 |
[2] | Ahlam Almulhim . Signed double Italian domination. AIMS Mathematics, 2023, 8(12): 30895-30909. doi: 10.3934/math.20231580 |
[3] | Abel Cabrera Martínez, Iztok Peterin, Ismael G. Yero . Roman domination in direct product graphs and rooted product graphs. AIMS Mathematics, 2021, 6(10): 11084-11096. doi: 10.3934/math.2021643 |
[4] | Ana Klobučar Barišić, Antoaneta Klobučar . Double total domination number in certain chemical graphs. AIMS Mathematics, 2022, 7(11): 19629-19640. doi: 10.3934/math.20221076 |
[5] | Linyu Li, Jun Yue, Xia Zhang . Double total domination number of Cartesian product of paths. AIMS Mathematics, 2023, 8(4): 9506-9519. doi: 10.3934/math.2023479 |
[6] | Bana Al Subaiei, Ahlam AlMulhim, Abolape Deborah Akwu . Vertex-edge perfect Roman domination number. AIMS Mathematics, 2023, 8(9): 21472-21483. doi: 10.3934/math.20231094 |
[7] | S. Gajavalli, A. Berin Greeni . On strong geodeticity in the lexicographic product of graphs. AIMS Mathematics, 2024, 9(8): 20367-20389. doi: 10.3934/math.2024991 |
[8] | Mingyu Zhang, Junxia Zhang . On Roman balanced domination of graphs. AIMS Mathematics, 2024, 9(12): 36001-36011. doi: 10.3934/math.20241707 |
[9] | Chang Liu, Jianping Li . Sharp bounds on the zeroth-order general Randić index of trees in terms of domination number. AIMS Mathematics, 2022, 7(2): 2529-2542. doi: 10.3934/math.2022142 |
[10] | Abdullah Shoaib, Tahair Rasham, Giuseppe Marino, Jung Rye Lee, Choonkil Park . Fixed point results for dominated mappings in rectangular b-metric spaces with applications. AIMS Mathematics, 2020, 5(5): 5221-5229. doi: 10.3934/math.2020335 |
In this paper, we review the underappreciated theorem by Lotz that tells us that every strongly continuous operator semigroup on a Grothendieck space with the Dunford-Pettis property is automatically uniformly continuous. A large class of spaces that carry these geometric properties are L∞(Ω,Σ,μ) for non-negative measure spaces. This shows once again that L∞-spaces have to be treated differently.
Throughout this paper, all graphs considered are finite, undirected, loopless and without multiple edges. We refer the reader to [3,18] for terminology and notation in graph theory.
Let G=(V,E) be a graph of order n with vertex set V(G) and edge set E(G). The open neighborhood of a vertex v in G is NG(v)=N(v)={u∈V(G)|uv∈E(G)}, and the closed neighborhood of v is NG[v]=N[v]=N(v)∪{v}. The degree of a vertex v in the graph G is dG(v)=d(v)=|N(v)|. Let δ(G)=δ and Δ(G)=Δ denote the minimum and maximum degree of a graph G, respectively. Denote by G[H] the induced subgraph of G induced by H with H⊂V(G). A vertex v in G is a leaf if d(v)=1. A vertex u is a support vertex if u has a leaf neighbor. Denote L(u)={v|uv∈E(G),d(v)=1}.
A subset M⊆E(G) is called a matching in G if no two elements are adjacent in G. A vertex v is said to be M-saturated if some edges of M are incident with v, otherwise, v is M-unsaturated. If every vertex of G is M-saturated, the matching M is perfect. M is a maximum matching if G has no matching M′ with |M′|>|M|. Let R be a subgraph of G, M be a matching of G, v∈V(R), uv∈M. We say the vertex v is RI (resp. RO) if u∈V(R) (resp. u∉V(R)).
A set VC of vertices in a graph G is a vertex cover of G if all the edges are touched by the vertices in VC. A vertex cover VC of G is minimal if no proper subset of it is a vertex cover of G. A minimal vertex cover of maximum cardinality is called a VC-set. In 2001, Mishra et al. [13] denote by MAX-MIN-VC the problem of finding a VC-set of G. Bazgan et al. [2] showed that MAX-MIN-VC is APX-complete for cubic graphs.
A set PD⊆V(G) in a graph G is a paired dominating set if every vertex v∉PD is adjacent to a vertex in PD and the subgraph induced by PD contains a perfect matching. Paired domination was proposed in 1996 [9] and was studied for example in [4,5,6,12,16,17]. A paired dominating set PD of G is minimal if there is no proper subset PD′⊂PD which is a paired dominating set of G. A minimal paired dominating set with maximum cardinality is called a Γpr(G)-set. The upper paired domination number of G is the cardinality of a Γpr(G)-set of G. Denote by Upper-PDS the problem of finding a Γpr(G)-set of G. Upper paired domination was introduced by Dorbec et al. in [7]. They investigated the relationship between the upper total domination and upper paired domination numbers of a graph. Later, they established bounds on upper paired domination number for connected claw-free graphs[10]. Denote Pr(v)={u|u∉PD,N(u)∩PD={v},uv∈E(G)}, where PD is a minimal paired dominating set of G.
Recently, Michael et al. showed that Upper-PDS is NP-hard for split graphs and bipartite graphs, and APX-completeness of Upper-PDS for bipartite graphs with Δ=4 in [11]. In order to improve the results in [11], we show that Upper-PDS is APX-complete for bipartite graphs with Δ=3.
The class APX is the set of NP-optimization problems that allow polynomial-time approximation algorithms with approximation ratio bounded by a constant.
First, we recall the notation of L-reduction [1,15]. Given two NP-optimization problems H and G and polynomial time transformation f from instances of H to instances of G, we say that f is an L-reduction if there are positive constants α and β such that for every instance x of H:
(i) optG(f(x))≤αoptH(x);
(ii) for every feasible solution y of f(x) with objective value mG(f(x),y)=a, we can find a solution y′ of x with mH(x,y′)=b in polynomial time such that |optH(x)−b|≤β|optG(f(x))−a|.
To show that a problem P∈APX is APX-complete, it's enough to show that there is an L-reduction from some APX-complete problems to P.
Denote by MAX-MIN-VC the problem of finding a maximum minimal vertex cover of G. Note that, Minimum Domination problem is APX-complete even for bipartite graphs with maximum degree 3 [14], and Minimum Independent Domination problem [8] is the complement problem of MAX-MIN-VC in a graph G. We can obtain an L-reduction from Minimum Domination problem to Minimum Independent Domination problem by replacing every edge uv with a path Puv=uabcv with α=7, β=1. It's clear that Minimum Independent Domination problem and MAX-MIN-VC are in APX. Thus, Minimum Independent Domination problem is APX-complete even for bipartite graphs with maximum degree 3, so is MAX-MIN-VC (by Theorem 7 in [2]).
In this section, we show Upper-PDS for bipartite graphs with maximum degree 3 is APX-complete by providing an L-reduction f from MAX-MIN-VC for bipartite graphs with maximum degree 3.
We formalize the optimization problems as follows.
Lemma 1. [11] Upper-PDS can be approximated with a factor of 2Δ for graphs without isolated vertices and with maximum degree Δ.
Therefore, Upper-PDS is in APX.
Let G=(V,E) be a bipartite graph with |E|=m, Δ(G)=3.
For each edge xy∈E(G), let Hxy be the graph which is shown in Figure 1. Let T1={ a,...,a5, b,...,b5, r,...,r6, s,...,s6, c,..,c3, u,u1,v,v1}, T2={p,...,p6, q,...,q6, d,...,d3,w,z}, T3={h,..,h5}, T4={t,...,t5}, V(Hxy)=V(T1)∪V(T2)∪V(T3)∪V(T4)∪{w1,z1,x,y}, |V(Hxy)|=70.
Construct G′ by replacing each edge xy∈E(G) with the graph Hxy.
It's clear, Δ(G′)=3 and G′ is a bipartite graph.
Let Sp={p,p1,...,p6}, Sq={q,q1,...,q6}, Sa={a,a1,...,a5}, Sb={b,b1,...,b5}, Sr={r,r1,...,r6}, Ss={s,s1,...,s6}, Sc={c,c1,c2,c3}, Sd={d,d1,d2,d3}.
Let xy=e∈E(G), H′e=H′xy=Hxy−{x,y}, |V(H′xy)|=68.
Let PD be a paired dominating set of G′, uv∈E(G). We say H′uv is [I,O] if u is HIuv and v is HOuv, or if v is HIuv and u is HOuv. We say H′uv is [I,0] if u is HIuv and v∉PD, or if u∉PD and v is HIuv. Analogously, H′uv could be [0,0] ([I,I] or [O,O] or [O,0]).
Note that
|T1∩PD|=|Sa∩PD|+|Sb∩PD|+|Sc∩PD|+|Sr∩PD|+|Ss∩PD|+|{u,u1,v,v1}∩PD|, | (2.1) |
|T2∩PD|=|Sp∩PD|+|Sq∩PD|+|Sd∩PD|+|{w,z}∩PD|, | (2.2) |
|V(H′xy)∩PD|=|T1∩PD|+|T2∩PD|+|T3∩PD|+|T4∩PD|+|{w1,z1}∩PD|. | (2.3) |
The following lemma is immediate.
Lemma 2. Let PD be a minimal paired dominating set of G, M be a perfect matching of G[PD]. If v,u are support vertices, uv∈E(G), x∈L(v), y∈L(u), then |{x,y}∩PD|≤1.
Lemma 3. Let PD be a minimal paired dominating set of G′, M be a perfect matching of G′[PD]. For each Hxy, we have
(a) |Sc∩PD|=4 if and only if r,s∉PD, Pr(c3)≠∅ or Pr(c)≠∅.
(b) |Sd∩PD|=4 if and only if p,q∉PD, Pr(d3)≠∅ or Pr(d)≠∅.
(c) |T3∩PD|≤4 with equality if and only if (i) or (ii) holds,
(i) Pr(h1)≠∅ if h∉PD,
(ii) N(h)∩PD={h1} or Pr(h)≠∅ if h∈PD.
And if h is G[T3]O, |T3∩PD|=3.
(d) |T4∩PD|≤4 with equality if and only if (i) or (ii) holds,
(i) Pr(t1)≠∅ if t∉PD,
(ii) N(t)∩PD={t1} or Pr(t)≠∅ if t∈PD.
And if t is G[T4]O, |T4∩PD|=3.
(e) |Sa∩PD|≤4 with equality if and only if (i) or (ii) holds,
(i) Pr(a1)≠∅ if a∉PD,
(ii) N(a)∩PD={a1} or Pr(a)≠∅ if a∈PD.
And if a is G[Sa]O, |Sa∩PD|=3.
(f) |Sb∩PD|≤4 with equality if and only if (i) or (ii) holds,
(i) Pr(b1)≠∅ if b∉PD,
(ii) N(b)∩PD={b1} or Pr(b)≠∅ if b∈PD.
And if b is G[Sb]O, |Sb∩PD|=3.
(g) 3≤|Sr∩PD|≤4. And if r∈PD and r is G[Sr]O, |Sr∩PD|=3.
(h) 3≤|Ss∩PD|≤4. And if s∈PD and s is G[Sr]O, |Ss∩PD|=3.
(i) 3≤|Sp∩PD|≤4. And if p∈PD and p is G[Sp]O, |Sp∩PD|=3.
(j) 3≤|Sq∩PD|≤4. And if q∈PD and q is G[Sq]O, |Sq∩PD|=3.
(k) |T2∩PD|≤13 with equality if and only if |{w,z}∩PD|=1.
(l) |T1∩PD|≤22 with equality if and only if {u,v}⊆PD.
(m) If {u,v}∩PD=∅, |T1∩PD|≤18.
Proof. (a) W.l.o.g. we consider r∈PD. If rc∈M, |Sc∩PD|≠4. Otherwise, c1c2,c3s∈M and let PD′=PD∖{c1,c2}, M′=M∖{c1c2}. Then, PD′ is a paired dominating set and PD is not a minimal paired dominating set, a contradiction. If rc∉M, |Sc∩PD|≠4. Otherwise, cc1,c2c3∈M and let PD′=PD∖{c,c1}, M′=M∖{cc1}. Then, PD′ is a paired dominating set and PD is not a minimal paired dominating set, a contradiction.
If Pr(c3)=∅ and Pr(c)=∅, let PD′=PD∖{c,c3} and M′=M∖{cc1,c2c3}∪{c1c2}. Then, PD′ is a paired dominating set and PD is not a minimal paired dominating set, a contradiction.
(b) The proof is analogous to that of (a), and the proof is omitted.
(c) Clearly, |T3∩PD|≤4. If |T3∩PD|=4, {h1,h2,h3,h4}⊆PD or {h,h1,h2,h3}⊆PD. If {h1,h2,h3,h4}⊆PD, Pr(h1)≠∅. Otherwise, let PD′=PD∖{h4,h1}, M′=M∖{h3h4,h1h2}∪{h2h3}. Then, PD′ is a paired dominating set and PD is not a minimal paired dominating set, a contradiction. If {h,h1,h2,h3}⊆PD, N(h)∩PD={h1} or Pr(h)≠∅. Otherwise, let PD′=PD∖{h,h1}, M′=M∖{hh1}. Then, PD′ is a paired dominating set and PD is not a minimal paired dominating set, a contradiction.
If h is G[T3]O, and since |T3∖{h}∩PD| is even, we have |T3∩PD|=3.
(d)–(f) We obtain the conclusions with a similar proof of (c).
(g) Clearly, 3≤|Sr∩PD|≠6. If |Sr∩PD|=5, we obtain Sr∩PD={r,r1,r2,r3,r4} or Sr∩PD={r,r2,r3,r4,r5} by Lemma 2. Therefore, PD is not a minimal paired dominating set, a contradiction. Thus, 3≤|Sr∩PD|≤4.
If r is G[Sr]O, and since |Sr∖{r}∩PD| is even, we have |Sr∩PD|=3.
(k) Since |Sd∩PD|≤4, |T2∩PD|≤14 by (i)–(j) and Eq (2.1).
If |{w,z}∩PD|=0, |T2∩PD|≤12.
If |{w,z}∩PD|=1, |T2∩PD|≤13.
Then we consider |{w,z}∩PD|=2. If w is G[T2]I or z is G[T2]I, we may assume w is G[T2]I. We obtain wp∈M, |Sp∩PD|=3 by (i), |Sd∩PD|≤3 by (b). Therefore, |T2∩PD|≤12 by Eq (2.1). If w,z are G[T2]O, |Sd∩PD|≤3 by (b). Since |T2∩PD| is even, |T2∩PD|≤12 by Eq (2.1).
Thus, |T2∩PD|≤13 with equality if and only if |{w,z}∩PD|=1, see Figure 2 (a).
(h)–(j) Using similar arguments of (g), the conclusions follow.
(l)–(m) We discuss the following cases.
Case 1. |{u,v}∩PD|=2.
In this case, we have |{u1,v1}∩PD|≥1, |Sa∩PD|≥3 and |Sc∩PD|≥3, otherwise, |T1∩PD|≤22 by (e)–(h) and Eq (2.2).
W.l.o.g. we assume u1∈PD.
First, we assume that |Sa∩PD|=4. We obtain aa1,uu1∈M, {r,c,r1}∩PD=∅ by (e). Thus, |Sc∩PD|≤3. Then, we consider |Sc∩PD|=3, that is, c3s∈M. By (h), we have |Ss∩PD|=3. Therefore, |T1∩PD|≤22 by Eq (2.2).
Then, we consider |Sa∩PD|=3. Therefore, v1∈PD, otherwise, |T1∩PD|≤22 by Eq (2.2).
We have |Sb∩PD|=4, otherwise, |T1∩PD|≤22 by Eq (2.2). By (f), {s,s1,c3}∩PD=∅. Thus, |Sc∩PD|≤3. Therefore, |T1∩PD|≤22 by Eq (2.2), see Figure 2 (b).
Case 2. |{u,v}∩PD|=1.
W.l.o.g. we assume u∈PD.
We have |{u1,v1}∩PD|≥1 and |Sa∩PD|≥3, otherwise, |T1∩PD|≤21 by Eq (2.2).
Case 2.1 u1∈PD.
If |Sa∩PD|=4, {r,r1,c}∩PD=∅ by (e). Then |Sc∩PD|≤3. If |Sc∩PD|=3, we have c3s∈M, |Ss∩PD|≤3 by (h). Therefore, |T1∩PD|≤21 by Eq (2.2). If |Sc∩PD|=2, |T1∩PD|≤21 by Eq (2.2).
Now we consider |Sa∩PD|=3. If v1∉PD, |T1∩PD|≤21 by Eq (2.2). Thus, v1∈PD, that is, v1b∈M. Therefore, |Sb∩PD|=3 by (f), |T1∩PD|≤21 by Eq (2.2).
Case 2.2 u1∉PD.
If v1∈PD, v1b∈M. Therefore, |Sb∩PD|=3 by (f), |T1∩PD|≤21 by Eq (2.2). Thus, v1∉PD, and |T1∩PD|≤21 by Eq (2.2).
Case 3. |{u,v}∩PD|=0.
In this case, |T1∩PD| is even.
Case 3.1 |{u1,v1}∩PD|≥1.
W.l.o.g. we assume u1∈PD. Then u1a∈M, |Sa∩PD|=3 by (e). If v1∉PD, b∈PD. By (a), |Sc∩PD|≤3. Therefore, |T1∩PD|≤19 by Eq (2.2). If v1∈PD, we obtain v1b∈M, |Sb∩PD|=3 by (f). |Sc∩PD|≤3 by (a). Therefore, |T1∩PD|≤19 by Eq (2.2).
Case 3.2 |{u1,v1}∩PD|=0.
In this case, a,b∈PD. By (a), |Sc∩PD|≤3. Therefore, |T1∩PD|≤19 by Eq (2.2).
Note that |T1∩PD| is even, so |T1∩PD|≤18, see Figure 2 (c).
Thus, (l) and (m) hold.
Lemma 4. Let PD be a minimal paired dominating set of G′.
(a) |V(H′xy)∩PD|≤43.
(b) If {xw1,yz1}⊂M, |V(H′xy)∩PD|≤42.
(c) If {xw1,yz1}∩M=∅ and {w1,z1}⊆PD, |V(H′xy)∩PD|≤42.
(d) If xw1∉M(G), w1∈PD and y∉PD, then |V(H′xy)∩PD|≤42.
Proof. (a) By Lemma 3 and Eq (2.3),
|V(H′xy)∩PD|=|T1∩PD|+|T2∩PD|+|T3∩PD|+|T4∩PD|+|{w1,z1}∩PD|≤22+13+4+4+2=45. |
We consider that {w1,z1}∩PD≠∅, |T4∩PD|≥3 and |T3∩PD|≥3, otherwise, |V(H′xy)∩PD|≤43. Then, w.l.o.g. we assume that w1∈PD.
If |T4∩PD|=4, {tt1,t2t3}⊆M or {t1t2,t3t4}⊆M.
If {tt1,t2t3}⊆M, Pr(t)≠∅ or N(t)∩PD={t1}. If Pr(t)≠∅, u∈Pr(t). By Lemma 3 (m), |V(H′xy)∩PD|≤43. If N(t)∩PD={t1}, we have u,w1∉PD, |T1∩PD|≤21 by Lemma 3 (l). Then we obtain z∈PD, otherwise, |V(H′xy)∩PD|≤43 by Lemma 3 (k) and Eq (2.3). If |T3∩PD|=4, we have v∉PD, therefore, |V(H′xy)∩PD|≤43 by Eq (2.3). If |T3∩PD|=3, |V(H′xy)∩PD|≤43 by Eq (2.3).
If {t1t2,t3t4}⊆M, {w,u}∩PD=∅. By Lemma 3 (l), |T1∩PD|≤21, and v∈PD. If z∉PD, |V(H′xy)∩PD|≤43 by Lemma 3 (k) and Eq (2.3). If z∈PD, |T3∩PD|≤3 by Lemma 3 (c). Therefore, |V(H′xy)∩PD|≤43 by Eq (2.3).
If |T4∩PD|=3, we consider |T1∩PD|=22, and {u,v,z1}∈PD. We have |T3∩PD|≠4 by Lemma 3 (c). Therefore, |V(H′xy)∩PD|≤43 by Eq (2.3).
(b)–(d) Since |V(H′xy)∩PD|≤43, and, |V(H′xy)∩PD| is even in those cases, so |V(H′xy)∩PD|≤42.
Lemma 5. Let PD be a minimal paired dominating set of G′, M be a perfect matching of G′[PD].
(a) If {x,w1,y,z1}⊂PD, xw1∈M(G) and yz1∉M, we have |V(H′xy)∩PD|≤41.
(b) If {x,y}∩PD=∅, |V(H′xy)∩PD|≤40.
Proof. (a) In this case, we have z∈PD and zz1∈M.
Since |V(H′xy)∩PD| is odd, it's sufficient to show |V(H′xy)∩PD|≤42. We only consider {u,v}∩PD≠∅ by Lemma 3 (m).
Case 1. |T4∩PD|=4.
In this case, we have {t1t2,t3t4}⊆M or {tt1,t2t3}⊆M. If {t1t2,t3t4}⊆M (or {tt1,t2t3}⊆M), we obtain u,w∉PD, v∈PD. Since z,v∈PD, |T3∩PD|≤3 by Lemma 3 (c). If |T3∩PD|=2, |V(H′xy)∩PD|≤42 by Eq (2.3). If |T3∩PD|=3, hv∈M. Thus, {q,q1,d3}∩PD=∅, otherwise, let PD′=PD∖{z,z1}, M′=M∖{zz1}. Then, PD′ is a paired dominating set and PD is not a minimal paired dominating set, a contradiction. Since zz1∈M, we obtain that |T2∩PD| is odd. So |T1∩PD|≤12. Therefore, |V(H′xy)∩PD|≤42 by Eq (2.3), see Figure 3 (a).
Case 2. |T4∩PD|=3.
If tw∈M, u∉PD or {p,p1,d}∩PD=∅. Otherwise, let PD′=PD∖{t,w}, M′=M∖{tw}. Then, PD′ is a paired dominating set and PD is not a minimal paired dominating set, a contradiction. If {p,p1,d}∩PD=∅, |Sd∩PD|≤3. W have |Sd∩PD|=3, d3q∈M, otherwise, |V(H′xy)∩PD|≤42 by Eq (2.3). Thus |Sq∩PD|≤3 by Lemma 3 (j) and Eq (2.3), and |V(H′xy)∩PD|≤42. If u∉PD, v∈PD. Thus, |T3∩PD|≤3 by Lemma 3 (c) and Eq (2.3), and |V(H′xy)∩PD|≤42.
If tu∈M, |T3∩PD|≤3 by Lemma 3 (c). We have |T3∩PD|=3, hv∈M, otherwise, |V(H′xy)∩PD|≤42 by Eq (2.3). Let PD′=PD∖{t,h}, M′=M∖{tu,hv}∪{uv}. Therefore, PD′ is a paired dominating set and PD is not a minimal paired dominating set, a contradiction.
Case 3. |T4∩PD|=2.
Now we only consider |T1∩PD|=22, and {u,v}⊂PD. By Lemma 3 (c) and Eq (2.3), |V(H′xy)∩PD|≤42.
(b) Since |V(H′xy)∩PD| is even, it's sufficient to show |V(H′xy)∩PD|≤41.
Case 1. |{z1,w1}∩PD|=0.
We obtain {z,w}⊆PD, |T2∩PD|≤12 by Lemma 3 (k). If |T4∩PD|≤3, |V(H′xy)∩PD|≤41 by Eq (2.3), see Figure 3 (b). If |T4∩PD|=4, t∈PD and Pr(t)≠∅ by Lemma 3(d). So, {u,v,u1}∩PD=∅. By Lemma 3 (m) and Eq (2.3), |V(H′xy)∩PD|≤40.
Case 2. |{z1,w1}∩PD|=1.
W.l.o.g. we assume w1∈PD. Thus, ww1∈M, z∈PD, |T2∩PD|≤12 by Lemma 3 (k). If |T4∩PD|=2, |V(H′xy)∩PD|≤41 by Eq (2.3). If |T4∩PD|=4, we obtain Pr(t)={u} for t∈PD, {u,u1,v}∩PD=∅. By Lemma 3 (m) and Eq (2.3), |V(H′xy)∩PD|≤40. If |T4∩PD|=3, tu∈M. And v∈PD, otherwise |T1∩PD|≤21 by Lemma 3 (l), |V(H′xy)∩PD|≤41 by Eq (2.3). Thus, |T4∩PD|≠4 by Lemma 3 (d). Afterwards, |V(H′xy)∩PD|≤41 by Eq (2.3).
Case 3. |{z1,w1}∩PD|=2.
Thus, ww1∈M, zz1∈M, |T2∩PD|≤12 by Lemma 3 (k).
If |T4∩PD|=4, t∈PD and {u,u1,v}∩PD=∅. By Lemma 3 (m) and Eq (2.3), we have |V(H′xy)∩PD|≤40.
If |T4∩PD|=3, we have tu∈M, and |T3∩PD|≤3 by Lemma 3 (c). If |T3∩PD|=2, |V(H′xy)∩PD|≤41 by Eq (2.3). If |T3∩PD|=3, hv∈M. Let PD′=PD∖{t,h}, M′=M∖{tu,hv}∪{uv}. Therefore, PD′ is a paired dominating set and PD is not a minimal paired dominating set, a contradiction.
If |T4∩PD|=2, we only consider |T1∩PD|=22. Thus, u,v∈PD. By Lemma 3 (c), |T3∩PD|≤3. Therefore, |V(H′xy)∩PD|≤41 by Eq (2.3).
Corollary 6. Let PD be a minimal paired dominating set of G′. If |V(H′uv)∩PD|=43 if and only if |{u,v}∩PD|=1, and, u or v is HIuv.
Lemma 7. If VC1 is a minimal vertex cover of G, there exists a minimal paired dominating set PD1 of G′ with |PD1|=42m+2|VC|.
Proof. A minimal paired dominating set PD1 can be constructed by the following manner:
For each vertex x∈VC1, we have |N(x)∩VC1|<d(x)≤3. So there exists at least one edge xx1 with x1∉VC1 in G, and maybe exist edges xx2 or xx3.
Therefore, for the edge xx1, put i into PD′ for i∈{x,w1, p2,p3,p4,p5, d,d1,d2,d3, q2,q3,q4,q5, z,z1, h,h2,h3, v, b1,b2,b3,b4, s2,s3,s4,s5, c,c1,c2,c3, r2,r3,r4,r5, a,a1,a2,a3, t1,t2,t3,t4}. Put j into M for j∈{xw1, p5p4,p3p2,dd1,d2d3, q2q3,q4q5, zz1, hv, h2h3, b1b2,b3b4, s2s3,s4s5, cc1,c2c3, r2r3,r4r5, aa1,a2a3, t1t2,t3t4}. See Figure 4 (a).
For edges xx2,xx3, put i into PD′ for i∈{x, p2,p3,p4,p5, d,d1,d2,d3, q2,q3,q4,q5, z,z1, u,v, h2,h3, b1,b2,b3,b4, s2,s3,s4,s5, c,c1,c2,c3, r2,r3,r4,r5, a1,a2,a3,a4, t1,t2,t3,t4}. Put j into M for j∈{ p5p4,p3p2,dd1,d2d3, q2q3,q4q5, zz1, h2h3, uv, b1b2,b3b4, s2s3,s4s5, cc1,c2c3, r2r3,r4r5, a1a2,a3a4, tt1,t2t3}. See Figure 4 (b).
Let PD1=PD′∪VC1. Since vertex x is M-saturated in PD1. Therefore, PD1 is a paired dominating set of G′.
Since N(w)∩PD1={w1}, then PD1∖{w1} is not a dominating set of G′. So PD1 is a minimal paired dominating set of G′. And |PD1|=|VC1|+|VC1|×43+(m−|VC1|)×42. Therefore, |PD1|=2|VC1|+42m.
Let PD be a minimal paired dominating set of G′. Algorithm 1 is to obtain a minimal vertex cover VC of G, and it terminates in polynomial time.
Algorithm 1 CONST-VC(G′,PD) |
Input: A graph G′ with a minimal paired dominating set PD Output: A graph G with a minimal vertex cover VC 1: VC=PD 2: for every Hxy⊆G′ do 3: Delete vertices in H′xy 4: Add an edge between x and y {obtained the graph G} 5: VC=VC∖V(H′xy) 6: end for 7: VC′=VC 8: De=∅ {Mo is the set of vertex which is removed from VC.} 9: In=∅ {In is the set of vertex which is added into VC.} 10: Mo=∅ {De is the set of vertex which is added into VC at first, then removed from VC.} 11: while |N[v]∩VC|=d(v)+1 do 12: VC=VC∖{v},Mo=Mo∪{v} 13: end while 14: while uv∈E(G) and u,v∉VC do 15: VC=VC∪{u},In=In∪{u} 16: for w∈N(u) do 17: if |N[w]∩VC|=d(w)+1 then 18: VC=VC∖{w},De=De∪{w} 19: end if 20: end for 21: end while 22: return VC |
Lemma 8. If PD is a minimal paired dominating set of G′ and VC is a minimal vertex cover of G obtained by Algorithm 1, |VC|≥|PD|−42m−|VC|.
Proof. Let M be the perfect matching of G[PD], me=V(H′xy)∩PD where e=xy∈E(G), Me=⋃e∈E(G)me, Le=V(G)∖(Mo∪In∪De).
In Algorithm 1, we have:
Claim 9. (a) If v is put into Mo by the while loop (lines 11 to 13) or De (line 18), v will not be put into In later.
(b) For every vertex v∈V(G), v will be put into Mo (or De or In) at most once.
(c) Mo∩De=∅, Mo∩In=∅.
(d) If v∈De, there exists a vertex w∈N(v)∩In.
(e) If vertex v∈De∩In, we have v∉VC′, that is, v is put into In at first and then into De.
(f) If u,v∈De∪Mo, N(v)∩N(u)∩Mo∩De=∅.
(g) If v∈De∖In, there exists a vertex u∈N(v)∩(In∖De), u∉VC′. And |N(u)∩De|≤2. What's more, there exists a vertex w∈N(u)∖VC′. If w∈In∖De, |(N(u)∪N(w))∩(De∖In)|≤3.
Proof. (a) After v is put into De (or Mo), every w∈N(v) has a neighbor v which does not belong to VC, so w will not be put into De. Therefore, v will not be put into In later.
(b)–(d) By (a), it is immediate.
(e) By (a) and (c), it is immediate.
(f) Suppose v is put into De∪Mo. By (a), w∈N(v) will not be put into De∪Mo.
(g) For vertex v∈De∖In, by (d) and (f), let u∈N(v)∩(In∖De), and u∉VC′, |N(u)∩De|≤2.
Since u∈In∖De, there exists a vertex w∈N(u)∖VC′.
Since 1≤|N(u)∩(De∖In)|≤2, |N(w)∩(De∖In)|≤2. If w∈In∖De, we may assume u is put into In at first. Then N(u)∩(De∖In)|≤1, otherwise, w will not be put into In later. Therefore, |(N(u)∪N(w))∩(De∖In)|≤3.
Thus,
|VC|=|PD|−|Me|−|Mo|−|De|+|In|. | (2.4) |
To show that |Me|+|Mo|+|De|−|In|≤42m+|VC|, we use the following strategy.
Discharging procedure:
In the graph G′, we set the initial charge of every vertex v to be s(v)=1 for v∈Mo∪Me∪(De∖In), s(v)=−1 for v∈In∖De, s(v)=0 otherwise, s(H′uv)=∑x∈V(H′uv)s(x), s(G′)=∑v∈V(G′)s(v).
Obviously,
∑v∈V(G′)s(v)=|Me|+|Mo|+|De|−|In|. | (2.5) |
We use the discharging procedure, leading to a final charge s′, defined by applying the following rules:
Rule 1: For the vertex v∈Mo, v is M-saturated. Therefore, v is HIuv for u. If u is HIuv, s(v) transmits 1 charge to s(u). If u is HOuv, s(v) transmits 1 charge to s(H′uv) which is [I,O].
Rule 2: For each s(H′uv)=43, by Corollary 6, s(H′uv) transmits 1 charge to u∈VC′.
Rule 3: For the vertex v∈De∖In, by Claim 9 (g), there exists a vertex u∈N(v)∩(In∖De), and a vertex w∈N(u)∖VC′ and |N(u)∩De|≤2. If |N(u)∩De|=2, s(v) transmits 1 charge to s(u) and transmits 1 charge to s(H′uw) which is [0,0]. If |N(u)∩De|=1, s(v) transmits 2 charge to s(u).
After discharging, we have:
Claim 10. (a) s′(v)≤0 for v∈Mo∪(De∖In)∪(Le∖VC)∪(In∩De).
(b) For each H′xy, s′(H′xy)≤42.
(c) s′(v)≤1 for v∈(In∖De)∪(Le∩VC).
Proof. (a) If v∈Mo, by Claim 9 (f), v will not receive any charge by Rules 1 and 3. Since N[v]∩VC′=N[v]. By Lemmas 4 and 5, v will not receive any charge by Rule 2. Therefore, s′(v)=0.
If v∈De∖In, v∈VC′. By Claim 9 (f), N(v)∩Mo=∅. Thus, v will not receive any charge by Rules 1 and 3. Since v is HIuv for u. By Lemmas 4 and 5, if u∈VC′, v will not receive any charge by Rule 2. If u∉VC′, v will receive 1 charge at most by Rule 2. Afterwards, by Rule 3, v will transmit 2 charge to others, so s′(v)≤0.
If v∈Le∖VC, v will not receive any charge by Rules 1, 2 and 3.
If v∈In∩De, v∉VC′ by Claim 9 (e). Thus, v will not receive any charge by Rules 1 and 2. By Claim 9 (f), v∈De, N(v)∩De=∅. Thus, v will not receive any charge by Rule 3.
(b) If H′uw is [I,I] or [O,O] or [I,0] or [O,0], s(H′uw) will not receive any charge by Rules 1, 2 and 3. If H′uw is [0,0], s(H′uw) will not receive any charge by Rules 1 and 2.
If H′uw is [0,0], by Claim 9 (g), |(N(u)∪N(w))∩(De∖In)|≤3. Thus, s(H′uw) will receive 2 charge at most from s(x) where x∈N(v)∖{w} by Rule 3.
And if s(H′uw)=43, by Corollary 6, there exists a vertex u∈VC′ and u is HIuw. Therefore, s′(H′uw)=42 by Rule 2.
Thus, by Lemmas 4 and 5, s′(H′uw)≤42.
(c) If v∈In∖De, v∉VC′, v will receive any charge by Rules 1 and 2. And there exists a vertex w∈N(v) w∉VC′ and w∉De∖In. So v will receive 2 charge at most by Rule 3, s′(v)≤−1+2=1.
If v∈Le∩VC, v will receive any charge by Rule 3. By Lemmas 4, 5 and Corollary 6, H′uv is [I,0] if s(H′uv)=43. Since v can be M-saturated once, v will receive 1 charge at most by Rules 1 and 2. Thus, s′(v)≤0+1=1.
By Claim 10,
|Me|+|Mo|+|De|−|In|=∑uv∈E(G)s(H′uv)+∑v∈Mos(v)+∑v∈De∖Ins(v)−∑v∈In∖Des(v)=∑uv∈E(G)s′(H′uv)+∑v∈Mos′(v)+∑v∈De∖Ins′(v)+∑v∈In∖Des′(v)+∑v∈In∩Des′(v)+∑v∈Le∖VCs′(v)∑v∈Le∩VCs′(v)≤42m+|In∖De|+|Le∩VC|≤42m+|VC|. |
Thus, by Eq (2.4),
|VC|=|PD|−|Me|−|Mo|−|De|+|In|≥|PD|−42m−|VC|. |
Let PD∗ be a Γpr(G′)-set of G′, and be the Input of Algorithm 1. Then we obtain the Output VC by Algorithm 1.
Since
|VC∗|≥mΔ=m3. |
By Lemma 8,
|VC|≥|PD∗|−42m−|VC|≥|PD∗|−42×3|VC|−|VC||VC|≥|PD∗|−127|VC| |
Let VC∗ be a VC-set of G. Since |VC|≤|VC∗|,
|PD∗|≤128|VC|≤128|VC∗| | (2.6) |
By Lemma 7, |PD∗|≥|PD1|=42m+2|VC∗|. By Lemma 8,
|PD|−|VC|≤|VC|+42m≤|VC∗|+42m≤|PD∗|−|VC∗|. |
Thus,
|VC∗|−|VC|≤|PD∗|−|PD| | (2.7) |
Therefore, by Eq (2.6) and Eq (2.7), f is an L-reduction with α=128, β=1.
Upper-PDS for bipartite graphs is proved to be APX-complete with maximum degree 4 and still open with maximum degree 3. In this paper, we show that Upper-PDS for bipartite graphs with maximum degree 3 is APX-complete by providing an L-reduction f from MAX-MIN-VC for bipartite graphs to it.
This work was supported by the National Key R & D Program of China (No. 2018YFB1005100), the Guangzhou Academician and Expert Workstation (No. 20200115-9) and the Innovation Ability Training Program for Doctoral student of Guangzhou University (No. 2019GDJC-D01).
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
[1] | Y. A. Abramovich, C. D. Aliprantis, An invitation to operator theory, American Mathematical Society, 50 (2002). https://doi.org/10.1090/gsm/050 |
[2] |
A. A. Albanese, J. Bonet, W. J. Ricker, Grothendieck spaces with the Dunford-Pettis property, Positivity, 14 (2010), 145–164. https://doi.org/10.1007/s11117-009-0011-x doi: 10.1007/s11117-009-0011-x
![]() |
[3] | N. Alon, K. Makarychev, Y. Makarychev, A. Naor, Quadratic forms on graphs, Invent. Math., 163 (2006), 499–522. https://doi.org/10.1007/s00222-005-0465-9 |
[4] |
N. Alon, A. Naor, Approximating the cut-norm via Grothendieck's inequality, SIAM J. Comput., 35 (2006), 787–803. https://doi.org/10.1137/S0097539704441629 doi: 10.1137/S0097539704441629
![]() |
[5] | W. Arendt, A. Grabosch, G. Greiner, U. Moustakas, R. Nagel, U. Schlotterbeck, et al., One-parameter semigroups of positive operators, Lecture Notes in Mathematics, 1184 (1986). https://doi.org/10.1007/BFb0074922 |
[6] | S. V. Astashkin, L. Maligranda, Lp+L∞ and Lp∩L∞ are not isomorphic for all 1≤p<∞, p≠2. Proc. Amer. Math. Soc., 146 (2018), 2181–2194. https://doi.org/10.1090/proc/13928 |
[7] |
M. J. Beltrán-Meneu, M. C. Gómez-Collado, E. Jordá, D. Jornet, Mean ergodic composition operators on Banach spaces of holomorphic functions, J. Funct. Anal., 270 (2016), 4369–4385. https://doi.org/10.1016/j.jfa.2016.03.003 doi: 10.1016/j.jfa.2016.03.003
![]() |
[8] | T. F. Bewley, A very weak theorem on the existence of equilibria in atomless economies with infinitely many commodities, Equilibrium theory in infinite dimensional spaces, 1991,224–232. https://doi.org/10.1007/978-3-662-07071-0_9 |
[9] |
C. Bombach, D. Gallaun, C. Seifert, M. Tautenhahn, Observability and null-controllability for parabolic equations in Lp-spaces, Math. Control Relat. F., 13 (2023), 1484–1499. https://doi.org/10.3934/mcrf.2022046 doi: 10.3934/mcrf.2022046
![]() |
[10] |
J. Bonet, E. Jordá, A. Rodríguez, Mean ergodic multiplication operators on weighted spaces of continuous functions, Mediterr. J. Math., 15 (2018), 108. https://doi.org/10.1007/s00009-018-1150-8 doi: 10.1007/s00009-018-1150-8
![]() |
[11] |
J. Bourgain, On the Dunford-Pettis property, Proc. Amer. Math. Soc., 81 (1981), 265–272. https://doi.org/10.2307/2044207 doi: 10.2307/2044207
![]() |
[12] |
J. Bourgain, H∞ is a Grothendieck space, Stud. Math., 75 (1983), 193–216. https://doi.org/10.4064/sm-75-2-193-216 doi: 10.4064/sm-75-2-193-216
![]() |
[13] |
J. Bourgain, The Dunford-Pettis property for the ball-algebras, the polydisc-algebras and the Sobolev spaces, Stud. Math., 77 (1984), 245–253. https://doi.org/10.4064/sm-77-3-246-253 doi: 10.4064/sm-77-3-246-253
![]() |
[14] | C. Budde, M. K. Fijavž, Bi-continuous semigroups for flows on infinite networks, 16 (2021), 553–567. https://doi.org/10.3934/nhm.2021017 |
[15] | J. Diestel, Grothendieck spaces and vector measures, Vector Operator Valued Meas. Appl., 1973, 97–108. https://doi.org/10.1016/B978-0-12-702450-9.50015-4 |
[16] | J. Diestel, A survey of results related to the Dunford-Pettis property, In: Proceedings of the Conference on Integration, Topology, and Geometry in Linear Spaces, 2 (1980), 15–60. https://doi.org/10.1090/conm/002/621850 |
[17] |
N. Dunford, B. J. Pettis, Linear operations on summable functions, Trans. Amer. Math. Soc., 47 (1940), 323–392. https://doi.org/10.1090/S0002-9947-1940-0002020-4 doi: 10.1090/S0002-9947-1940-0002020-4
![]() |
[18] | N. Dunford, J. T. Schwartz, Linear operators, I. General theory, New York and London: Interscience Publishers, 1988. |
[19] |
E. Emel'yanov, N. Erkursun, Lotz-Räbiger's nets of Markov operators in L1-spaces, J. Math. Anal. Appl., 371 (2010), 777–783. https://doi.org/10.1016/j.jmaa.2010.05.060 doi: 10.1016/j.jmaa.2010.05.060
![]() |
[20] | K. J. Engel, R. Nagel, One-parameter semigroups for linear evolution equations, Graduate Texts in Mathematics, 194 (2000). https://doi.org/10.1007/b97696 |
[21] |
B. Farkas, Perturbations of bi-continuous semigroups, Stud. Math., 161 (2004), 147–161. https://doi.org/10.4064/sm161-2-3 doi: 10.4064/sm161-2-3
![]() |
[22] | D. H. Fremlin, Measure theory, Colchester: Torres Fremlin, 2003. |
[23] | J. A. Goldstein, Semigroups of linear operators and applications, Oxford: Oxford University Press, 1987. https://doi.org/10.1137/1029026 |
[24] |
M. González, T. Kania, Grothendieck spaces: The landscape and perspectives, Jpn. J. Math., 16 (2021), 247–313. https://doi.org/10.1007/s11537-021-2116-3 doi: 10.1007/s11537-021-2116-3
![]() |
[25] |
A. Grothendieck, Sur les applications linéaires faiblement compactes d'espaces du type C(K), Can. J. Math., 5 (1953), 129–173. https://doi.org/10.4153/CJM-1953-017-4 doi: 10.4153/CJM-1953-017-4
![]() |
[26] |
B. Jacob, F. L. Schwenninger, J. Wintermayr, A refinement of Baillon's theorem on maximal regularity, Stud. Math., 263 (2022), 141–158. https://doi.org/10.4064/sm200731-20-3 doi: 10.4064/sm200731-20-3
![]() |
[27] |
H. Keshavarzi, Mean ergodic composition operators on H∞(Bn), Positivity, 26 (2022), 30. https://doi.org/10.1007/s11117-022-00901-5 doi: 10.1007/s11117-022-00901-5
![]() |
[28] |
A. Kishimoto, D. W. Robinson, Subordinate semigroups and order properties, J. Aust. Math. Soc. Ser. A, 31 (1981), 59–76. https://doi.org/10.1017/S1446788700018486 doi: 10.1017/S1446788700018486
![]() |
[29] |
F. Kühnemund, A Hille-Yosida theorem for bi-continuous semigroups, Semigroup Forum, 67 (2003), 205–225. https://doi.org/10.1007/s00233-002-5000-3 doi: 10.1007/s00233-002-5000-3
![]() |
[30] | H. P. Lotz, Tauberian theorems for operators on L∞ and similar spaces, North-Holland Math. Stud., 90 (1984), 117–133. https://doi.org/10.1016/S0304-0208(08)71470-1 |
[31] |
H. P. Lotz, Uniform convergence of operators on L∞ and similar spaces, Math. Z., 190 (1985), 207–220. https://doi.org/10.1007/BF01160459 doi: 10.1007/BF01160459
![]() |
[32] | G. Lumer, Evolution equations and their applications in physical and life sciences, Proceeding of the Bad Herrenalb (Karlsruhe) conference, New York, NY: Marcel Dekker, 2001. https://doi.org/10.1201/9780429187810 |
[33] | P. Meyer-Nieberg, Banach lattices, Berlin: Springer-Verlag, Universitext, 1991. https://doi.org/10.1007/978-3-642-76724-1 |
[34] | A. Pazy, Semigroups of linear operators and applications to partial differential equations, Applied Mathematical Sciences, 44 (1983). https://doi.org/10.1007/978-1-4612-5561-1 |
[35] | G. Pisier, Grothendieck's theorem, past and present, Bull. Amer. Math. Soc., 49 (2012), 237–323. https://doi.org/10.1090/S0273-0979-2011-01348-9 |
[36] | F. Räbiger, Beiträge zur Strukturtheorie der Grothendieck-Räume, Heidelberger: Sitzungsber, 1985. https://doi.org/10.1007/978-3-642-45612-1 |
[37] |
C. L. Rogers, Complete L∞-algebras and their homotopy theory, J. Pure Appl. Algebra, 227 (2023), 107403. https://doi.org/10.1016/j.jpaa.2023.107403 doi: 10.1016/j.jpaa.2023.107403
![]() |
[38] | H. H. Schaefer, Banach lattices and positive operators, New York-Heidelberg: Springer-Verlag, 1974. https://doi.org/10.1007/978-3-642-65970-6 |
[39] |
W. Seyoum, T. Mengestie, J. Bonet, Mean ergodic composition operators on generalized Fock spaces, RACSAM, 114 (2020), 6. https://doi.org/10.1007/s13398-019-00738-w doi: 10.1007/s13398-019-00738-w
![]() |
[40] |
S. Y. Shaw, Uniform convergence of ergodic limits and approximate solutions, Proc. Amer. Math. Soc., 114 (1992), 405–411. https://doi.org/10.2307/2159662 doi: 10.2307/2159662
![]() |
[41] |
J. M. A. M. van Neerven, A converse of Lotz's theorem on uniformly continuous semigroups, Proc. Amer. Math. Soc., 116 (1992), 525–527. https://doi.org/10.2307/2159762 doi: 10.2307/2159762
![]() |
[42] |
J. von Below, J. A. Lubary, The eigenvalues of the Laplacian on locally finite networks, Results Math., 47 (2005), 199–225. https://doi.org/10.1007/BF03323026 doi: 10.1007/BF03323026
![]() |
[43] |
J. von Below, J. A. Lubary, The eigenvalues of the Laplacian on locally finite networks under generalized node transition, Results Math., 54 (2009), 15–39. https://doi.org/10.1007/s00025-009-0376-y doi: 10.1007/s00025-009-0376-y
![]() |
[44] |
R. Wittmann, Schwach irreduzible Markoff-operatoren, Monatsh. Math., 105 (1988), 319–334. https://doi.org/10.1007/BF01318808 doi: 10.1007/BF01318808
![]() |
[45] |
A. J. Wrobel, A sufficient condition for a singular functional on L∞[0,1] to be represented on C[0,1] by a singular measure, Indagat. Math. New Ser., 29 (2018), 746–751. https://doi.org/10.1016/j.indag.2017.12.005 doi: 10.1016/j.indag.2017.12.005
![]() |
[46] | K. Yosida, E. Hewitt, Finitely additive measures, Trans. Amer. Math. Soc., 72 (1952), 46–66. https://doi.org/10.2307/1990654 |
[47] |
Y. Zhang, C. C. Chen, Stochastic asymptotical regularization for linear inverse problems, Inverse Probl., 39 (2022), 015007. https://doi.org/10.1088/1361-6420/aca70f doi: 10.1088/1361-6420/aca70f
![]() |
[48] |
Y. Zhang, B. Hofmann, On the second-order asymptotical regularization of linear ill-posed inverse problems, Appl. Anal., 99 (2020), 1000–1025. https://doi.org/10.1080/00036811.2018.1517412 doi: 10.1080/00036811.2018.1517412
![]() |
Algorithm 1 CONST-VC(G′,PD) |
Input: A graph G′ with a minimal paired dominating set PD Output: A graph G with a minimal vertex cover VC 1: VC=PD 2: for every Hxy⊆G′ do 3: Delete vertices in H′xy 4: Add an edge between x and y {obtained the graph G} 5: VC=VC∖V(H′xy) 6: end for 7: VC′=VC 8: De=∅ {Mo is the set of vertex which is removed from VC.} 9: In=∅ {In is the set of vertex which is added into VC.} 10: Mo=∅ {De is the set of vertex which is added into VC at first, then removed from VC.} 11: while |N[v]∩VC|=d(v)+1 do 12: VC=VC∖{v},Mo=Mo∪{v} 13: end while 14: while uv∈E(G) and u,v∉VC do 15: VC=VC∪{u},In=In∪{u} 16: for w∈N(u) do 17: if |N[w]∩VC|=d(w)+1 then 18: VC=VC∖{w},De=De∪{w} 19: end if 20: end for 21: end while 22: return VC |
Algorithm 1 CONST-VC(G′,PD) |
Input: A graph G′ with a minimal paired dominating set PD Output: A graph G with a minimal vertex cover VC 1: VC=PD 2: for every Hxy⊆G′ do 3: Delete vertices in H′xy 4: Add an edge between x and y {obtained the graph G} 5: VC=VC∖V(H′xy) 6: end for 7: VC′=VC 8: De=∅ {Mo is the set of vertex which is removed from VC.} 9: In=∅ {In is the set of vertex which is added into VC.} 10: Mo=∅ {De is the set of vertex which is added into VC at first, then removed from VC.} 11: while |N[v]∩VC|=d(v)+1 do 12: VC=VC∖{v},Mo=Mo∪{v} 13: end while 14: while uv∈E(G) and u,v∉VC do 15: VC=VC∪{u},In=In∪{u} 16: for w∈N(u) do 17: if |N[w]∩VC|=d(w)+1 then 18: VC=VC∖{w},De=De∪{w} 19: end if 20: end for 21: end while 22: return VC |