DEBRUIJN-LIKE SEQUENCES AND THE IRREGULAR CHROMATIC NUMBER OF PATHS AND CYCLES

Size: px
Start display at page:

Download "DEBRUIJN-LIKE SEQUENCES AND THE IRREGULAR CHROMATIC NUMBER OF PATHS AND CYCLES"

Transcription

1 DEBRUIJN-LIKE SEQUENCES AND THE IRREGULAR CHROMATIC NUMBER OF PATHS AND CYCLES MICHAEL FERRARA, CHRISTINE LEE, PHIL WALLIS DEPARTMENT OF MATHEMATICAL AND STATISTICAL SCIENCES UNIVERSITY OF COLORADO DENVER ELLEN GETHNER DEPARTMENT OF COMPUTER SCIENCE UNIVERSITY OF COLORADO DENVER Astract. A ebruijn sequence of orer, or a -ebruijn sequence, over an alphaet A is a sequence of length A in which the last element is consiere ajacent to the first an every possile -tuple from A appears exactly once as a string of -consecutive elements in the sequence. We will say that a cyclic sequence is ebruijn-lie if for some, each of the consecutive -element sustrings is istinct. A vertex coloring χ : V (G) [] of a graph G is sai to e proper if no pair of ajacent vertices in G receive the same color. Let C(v; χ) enote the multiset of colors assigne y a coloring χ to the neighors of vertex v. A proper coloring χ of G is irregular if χ(u) = χ(v) implies that C(u; χ) C(v; χ). The minimum numer of colors neee to irregularly color G is calle the irregular chromatic numer of G. The notion of the irregular chromatic numer pairs nicely with other parameters aime at istinguishing the vertices of a graph. In this paper, we emonstrate a connection etween the irregular chromatic numer of cycles an the existence of certain ebruijn-lie sequences. We then etermine exactly the irregular chromatic numer of C n an P n for n 3, thus verifying two conjectures given y Oamoto, Racliffe an Zhang. Keywors: ebruijn Sequence, Irregular Chromatic Numer, Distinguishing 1. Introuction 1.1. Terminology an Notation. In this paper we consier only simple graphs, namely those graphs with no loops an no multiple eges. We allow P n an C n to enote the path an cycle of orer n, respectively. Aitionally, [] will enote the set {1,...,} an if D is a igraph A(D) will signify the arc set of D. Let n (G) enote the numer of vertices of a graph G with egree. For any unefine terms, we refer the reaer to [9]. A -coloring of a graph G is an assignment of laels ( colors ) from the set [] to the vertices of G. A vertex coloring χ : V (G) [] of a graph G is sai to e proper if no pair of ajacent vertices in G receive the same color. The chromatic numer of a graph G, enote χ(g), is the smallest such that there exists a proper -coloring of G.

2 2 M. FERRARA, E. GETHNER, C. LEE, P. WALLIS 1.2. DeBruijn-Lie Sequences. A ebruijn sequence of orer, or a -ebruijn sequence, over an alphaet A is a sequence of length A in which the last element is consiere ajacent to the first an every possile -tuple from A appears exactly once as a string of -consecutive elements in the sequence. We will say that a cyclic sequence is ebruijn-lie if for some, each of the consecutive -element sustrings is istinct. In part ue to the connection etween ebruijn sequences an DNA sequencing, the prolem of fining ebruijn-lie sequences with aitional structure has receive an increase amount of attention recently. A goo example of this is [4] in which the authors escrie a graphical approach to generating ebruijn-lie sequences where each consecutive -element sustring is istinct up to reversal an complementation (in the same way that the DNA ase pairs C-G an A-T are complementary). In this paper, we construct ebruijn-lie sequences that allow us to approach a specific prolem in graph coloring, escrie in the next section. DeBruijn-lie sequences (of any type) are also of interest as purely cominatorial ojects, inepenent of their various applications Irregular Vertex Colorings. The prolem of eveloping a metho y which one can istinguish the vertices of a graph has een of interest for some time. Most examples of such methos generally involve laeling the eges or vertices of a graph in a manner that allows for ifferentiation of aritrary pairs of vertices. Some examples inclue (ut are certainly not limite to) the irregularity strength of a graph, first introuce in [10], istance coes [13, 18] an vertex istinguishing ege colorings, introuce in [7]. The following metho for ifferentiating vertices is of interest here. In [2], the authors efine a istinguishing coloring of a graph G to e a (not necessarily proper) coloring of the vertices of G that is preserve only y the trivial automorphism. The authors furthermore efine the istinguishing numer of G to e the minimum numer of colors in a istinguishing coloring. This parameter has een wiely stuie (for two nice examples, see [1] an [14]) an was quite recently extene to consier istinguishing colorings of a graph that are also proper vertex colorings. In [11], the authors efine the istinguishing chromatic numer of a graph G, enote χ D (G), to e the minimum numer of colors in a proper istinguishing coloring. In this paper we consier a variant of χ D (G), first introuce in [17]. Let C(v; χ) enote the multiset of colors assigne y a coloring χ to the neighors of vertex v. A proper coloring χ of G is irregular if χ(u) = χ(v) implies that C(u; χ) C(v; χ). The minimum numer of colors neee to irregularly color G is calle the irregular chromatic numer of G. Clearly, any irregular coloring of a graph G is also a istinguishing coloring, an it is therefore clear that χ(g) χ D (G) χ irr (G). However, χ irr (G) may not provie a very goo upper oun on χ D (G). In fact, these parameters may e aritrarily far apart. Given an irregular -coloring χ of a graph G an a vertex v in G, C(v) will e a multiset of carinality (v) with elements chosen from the 1 colors istinct from χ(v). We recall here that the numer of -element multisets over an alphaet of 1 symols is ( ) ( + 2 an note that this implies there can e at most + 2 )

3 DEBRUIJN-LIKE SEQUENCES AND IRREGULAR COLORINGS 3 vertices of egree in G that are assigne the same color y χ. This oservation was mae in the following lemma from [17]. Lemma 1. Let G e a graph an let e a positive integer. If ( ) + 2 n (G) > then χ irr (G) + 1. Lemma 1 serves to unerscore the istinction etween etermining χ(g) an χ irr (G). For instance, the wiely herale Four Color Theorem [5, 16] states that any planar graph can e properly colore with at most four colors. However, as the average egree of any planar graph is strictly less than six, Lemma 1 implies that if {G n } n 1 is an infinite sequence of planar graphs where each G i has orer i, then lim n χ irr (G n ) =. As another example, χ(p n ) = χ(c 2n ) = 2 an χ(c 2n 1 ) = 3 for all n 2. However, Lemma 1 implies that the irregular chromatic numer of these graphs is unoune as n tens to infinity. These graphs also allow us to contrast χ irr an χ D, as in [11] it was shown that for all n, χ D (P n ) 3 an that χ D (C n ) 4. This is unoutely ue to the fact that in computing χ irr (G) we wish to istinguish the vertices of G locally, while χ D affors the flexiility of a more gloal perspective. This example also emonstrates that the ae conition of irregularity may complicate the coloring of some graphs for which etermining χ or χ D is quite easy. In this paper, we etermine exactly the irregular chromatic numer of an aritrary path or cycle. A similar question was consiere [6] in the context of vertex-istinguishing ege colorings, an the similarities an ifferences etween the approaches there an those utilize in this paper help to unerscore the ifferences etween these parameters. In the next section, we efine a cominatorial structure that allows us to relate irregular colorings of paths an cycles to the existence of certain types of ebruijn-lie sequences. 2. The Overlap Digraph D 3 (A) Given an alphaet A, efine D 3 (A) to e the igraph that has as its vertex set the collection of orere three element strings a 1 a 2 a 3 from A with the property that a 1 a 2 an a 2 a 3. In general we will refer to these three element strings, an hence the vertices of D 3 (A), as wors over the alphaet A. If u = u 1 u 2 u 3 an v = v 1 v 2 v 3 are vertices in V (D 3 (A)), then uv is in A(D 3 (A)) if an only if u 2 = v 1 an u 3 = v 2. Since D 3 (A 1 ) an D 3 (A 2 ) are isomorphic if an only if A 1 = A 2, we will let D 3 () enote the overlap igraph constructe from an aritrary - element alphaet. If A = {a 1,..., a n } we may enote D 3 (A) y D 3 (a 1,..., a n ). The igraph D 3 (A) is an example of an overlap igraph, an is in fact an inuce sugraph of the classical 3-eBruijn igraph [12]. Our proof techniques will repeately utilize the structure of D 3 (A) when A = 3, as epicte in Figure 1.

4 4 M. FERRARA, E. GETHNER, C. LEE, P. WALLIS ac cc c ca ca ac cac a aca ca ac aa Figure 1. D 3 (a,, c) The lin etween overlap igraphs of this type an irregular coloring of paths an cycles is the focus of the results in this paper Overlap Digraphs an Irregular Colorings. For any wor w = a i a j a, efine the conjugate of w to e the wor w = a a j a i. If w = w we then say that w is self-conjugate or is a palinrome. A (irecte) cycle C in D 3 (A) is conjugateavoiing if for all w V (C), w V (C) if an only if w is self-conjugate. Similarly, a (irecte) path P is conjugate-avoiing if for every vertex w of egree 2 in P, w is also a vertex of egree 2 in P if an only if w is self-conjugate. In much the same way that each -ebruijn sequence correspons to an eulerian circuit in the classical -ebruijn igraph over A [12], each conjugate avoiing cycle can e associate with a ebruijn-lie sequence. The consecutive 3-element sustrings of this sequence correspon to a collection of wors, istinct up to conjugation, in which no two letters appear consecutively. Let V (C n ) = {v 1,..., v n } where the vertices are liste in the orer they appear on the cycle, an let χ : V (C n ) A e an irregular coloring of C n. For each vertex v i the string w i = χ(v i 1 )χ(v i )χ(v i+1 ), where the inices are taen moulo n, is a vertex in D 3 (A). Since χ is an irregular coloring of C n, for any two istinct wors w i an w j we have that w i w j an that w i w j. Inee, if this were not the case, the vertices v i an v j woul e assigne the same color y χ an their neighors woul also e assigne the same multiset of colors y χ. This woul imply that v i an v j have the same color coe, contraicting the irregularity of χ. In fact, it is not ifficult to see that for each i, w i w i+1 is an arc in D 3 (A) an, moreover, the vertices w 1,...,w n in this orer form a cycle C. By the previous iscussion, the irregularity of χ implies that C is conjugateavoiing. An ientical analysis yiels that if C is a conjugate-avoiing cycle of length n in D 3 (), then this cycle gives an irregular coloring of C n using at most colors. The following lemma summarizes these oservations an an example is given in Figure 2. Lemma 2. Let n an 3 e positive integers. Then χ irr (C n ) if an only if D 3 () contains a conjugate-avoiing cycle of length n. The prolem of etermining the irregular chromatic numer of P n is similar to that of etermining the irregular chromatic numer of C n, ut is somewhat complicate y the presence of the two en-vertices. Again, let V (P n ) = {v 1...., v n } where the vertices are inexe y the orer they appear on the path an let

5 DEBRUIJN-LIKE SEQUENCES AND IRREGULAR COLORINGS 5 a a ac c a c c Figure 2. An irregular coloring of C 6 an the associate conjugate-avoiing cycle in D 3 (4) χ : V (P n ) A e an irregular coloring of P n. For each vertex v i where 2 i n 1 (the vertices of egree 2 in P n ), the string w i = χ(v i 1 )χ(v i )χ(v i+1 ) represents a vertex in D 3 (A). Since χ is an irregular coloring, each of these w i must e istinct an for each w i an w j we must have that w i w j. For each i with 1 i n 1 we have that w i w i+1 is an arc in D 3 (A) which implies that the vertices w i, in orer, form a conjugate-avoiing path of length n 2 in D 3 (A). Prior to iscussing those conjugate-avoiing paths in D 3 (A) that can e use to generate irregular colorings of paths, we nee to consier the color coes of v 1 an v n, which are the vertices of egree one in P n. Since χ is an irregular coloring, either χ(v 1 ) χ(v n ) or χ(v 2 ) χ(v n 1 ) (or possily oth). We efine a conjugate-avoiing path from w 1 = a 1 a 2 a 3 to w = a a +1 a +2 in D 2 (A) to e ounary istinguishe if either a 1 a +2 or a 2 a +1. This aitional conition allows us to characterize those conjugate-avoiing paths in D 3 (A) that give rise to irregular colorings of P n. Lemma 3. Let 3 an n e positive integers. Then χ irr (P n ) if an only if D 3 () contains a ounary istinguishe conjugate-avoiing path on n 2 vertices. In the following sections, we will construct conjugate-avoiing paths an cycles in D 3 () an use them to etermine the irregular chromatic numer of paths an cycles. 3. Irregular Colorings of Cycles The irregular chromatic numer of paths an cycles was iscusse in oth [15] an [17]. For the remainer of this paper, we let n enote the quantity (. The main result of this section is as follows. Theorem 1. Let 4 an n n n e integers. Then { if n n 1 χ irr (C n ) = + 1 if n = n 1. We note that Theorem 1 verifies a conjecture given in [15]. Proof. Let an n, where n n n, e as given in the statement of the theorem. In light of Lemma 2 we note that via an elementary counting argument, one can see that the maximum size of a conjugate-free suset of V (D 3 ( 1)), an hence the maximum possile length of a conjugate-avoiing cycle in D 3 ( 1),

6 6 M. FERRARA, E. GETHNER, C. LEE, P. WALLIS is n 1. Consequently, as n > n 1 it must e that χ irr (C n ). In line with Lemma 2, the proof procees y constructing conjugate-avoiing cycles of lengths 3,...,n 2 an n in D 3 (). Let A = {a 1,..., a } e a -element alphaet. Each of the 3-element susets of A can e associate with a unique sugraph of D 3 (A) that is isomorphic to D 3 (. The sugraphs associate with the 3-element susets S i an S j intersect if an only if S i S j = 2. With this oservation in min, we efine the auxiliary graph of D 3 (), enote G aux (), to e the graph whose vertices are 3-element susets of A such that two vertices are ajacent if an only if their corresponing sets share exactly two elements. The structure of G aux () mimics the structure of D 3 (), where the vertices of G aux () represent istinct copies of D 3 ( in D 3 (). For a vertex v in V (G aux ()), we efine the preimage of v to e the copy of D 3 ( in D 3 () that is associate with v. Similarly, for any sugraph H of G aux (), we efine the preimage of H to e the sugraph of D 3 () spanne y the preimages of the elements of V (H). It will e useful to more closely examine the structure of D 3 (, with Figure 1 serving as a helpful reference. The vertices of D = D 3 (a,, c) can e partitione into the two irecte triangles ac, ca, ca an ca, ac, ac, henceforth referre to as the central triangles of D, along with three pairs of palinromes, each etermine y a 2-element suset of {a,, c}. The next claim allows us to use the structure of G aux () to construct cycles in D 3 () using only the vertices in central triangles in some or all of the copies of D 3 (. For convenience, we exten the efinition of a central triangle as follows. If a conjugate-avoiing cycle C in D 3 () has the property that V (C) = V (τ 1 ) V (τ 2 ) V (τ t ), where each τ i is a central triangle in some copy of D 3 (, then we will say that C is central. Clearly, if C is central, then V (C) = 3t for some integer t. Also, each of the triangles τ i must e selecte from istinct copies of D 3 ( in D 3 (), as C is conjugate-avoiing. For clarity, we point out that while V (C) is the isjoint union of the sets V (τ i ), if V (C) 3 it will not e the case that E(C) is the isjoint union of the sets E(τ i ). Claim 1. Let 3 an t e integers such that 1 t (. Then there is a conjugate-avoiing cycle C of length 3t in D 3 () such that C is central. Proof. Let T e any spanning tree of G aux (), an efine a sequence of trees T 1 T ( such that each T i has orer i an T ( = T. We will show that there is a central conjugate-avoiing cycle of length 3t in the preimage of T t for each 1 t (. We procee y inuction on t, an note that the claim hols when t = 1. Thus, let C e a central conjugate-avoiing cycle in the preimage of T t for t 1 an let v = V (T t+1 ) \ V (T t ). Furthermore, let u e a neighor of v in T t+1. Assume that the preimage of v is D 3 (a 1, a 2, a 3 ) an that the preimage of u is, without loss of generality, D 3 (a 1, a 2, x). Since C is central, the vertices of one of the central triangles of D 3 (a 1, a 2, x) are also vertices in V (C). Without loss of

7 DEBRUIJN-LIKE SEQUENCES AND IRREGULAR COLORINGS 7 generality, assume that the vertices a 1 a 2 x, a 2 xa 1 an xa 1 a 2 are in V (C). Then there is some y (possily equal to x) such that the arc from xa 1 a 2 to a 1 a 2 y is in C. We will augment C y removing the arc from xa 1 a 2 to a 1 a 2 y an aing the arcs (xa 1 a 2, a 1 a 2 a 3 ), (a 1 a 2 a 3, a 2 a 3 a 1 ), (a 2 a 3 a 1, a 3 a 1 a 2 ) an (a 3 a 1 a 2, a 1 a 2 y). As C was central an conjugate-avoiing, this results in a central conjugateavoiing cycle of length 3t + 3 in the preimage of T t+1. To emonstrate the augmentation process escrie in Claim 1, Figure 3 shows a central triangle in D 3 (a,, c) extene to a central 6-cycle in the sugraph of D 3 (4) inuce y D 3 (a,, c) an D 3 (a,, ). ca ca a ca ca a ac ac a Figure 3. Constructing a central cycle of length six from a central cycle of length three We now show that it is possile to increase the lengths of central cycles, an many other types of cycles, through the aition of pairs of self-conjugate vertices. Claim 2. Let A e an alphaet an suppose a 1, a 2 an x are istinct elements in A. If C is a conjugate-avoiing cycle in D 3 (A) that contains the vertex a 1 a 2 x ut oes not contain the palinromes a 1 a 2 a 1 an a 2 a 1 a 2, then there is a conjugate-avoiing cycle C in D 3 (A) such that V (C ) = V (C) {a 1 a 2 a 1, a 2 a 1 a 2 }. Proof. Let C e as given, an let y A e such that ya 1 a 2 is the preecessor of a 1 a 2 x in C. We construct C y removing the arc from ya 1 a 2 to a 1 a 2 x from C an aing the arcs (ya 1 a 2, a 1 a 2 a 1 ), (a 1 a 2 a 1, a 2 a 1 a 2 ) an (a 2 a 1 a 2, a 1 a 2 x). Claim 2 allows us to construct conjugate-avoiing cycles of length 3t, 3t+2 an 3t + 4 for 1 t ( in D3 () y aing either one or two pairs of palinromes to the conjugate-avoiing cycle of length 3t assure y Claim 1. It is not ifficult to see that this implies that D 3 () contains conjugate-avoiing cycles of length l for any l etween 3 an 3 ( except for l = 4, 6 or 8. Inspection of Figure 1 yiels that D 3 ( oes not contain conjugate-avoiing cycles of length 4, 6 or 8, while the irregular colorings given in Figure 4 emonstrate that cycles of this length o appear in D 3 () for 4. We now wish to emonstrate the existence of cycles of length 3 (,..., n 2 an n in D 3 (). Let C an C enote central conjugate-avoiing cycles in D 3 () of length 3 ( ( an 3 3 respectively. Since C is a central cycle of maximum length, we note that C contains the vertices of a central triangle from each copy of D 3 ( containe in D 3 (). Furthermore, note that C contains the vertices of a central triangle from all ut exactly one of the copies of D 3 ( containe in D 3 (). This implies that oth C an, since 4, C contain vertices of the form a 1 a 2 x for every choice of a 1 an a 2 in an appropriate -element alphaet A.

8 8 M. FERRARA, E. GETHNER, C. LEE, P. WALLIS a a a a c c c c Figure 4. Irregular 4-colorings of C 4, C 6 an C 8 We may therefore procee to augment oth C an C using Claim 2. By aing each of the ( pairs of palinromes in D3 () to C, it is possile to create conjugateavoiing cycles of length 3 ( ( +2, 3 ( +4...,3 ( +2 = n in D 3 (). Similarly, y aing these pairs of palinromes to C, it is possile to create conjugateavoiing cycles of length 3 ( ( 1, 3 ( + 1,...,3 ( = n 3. It is not ifficult to see that this emonstrates the existence of conjugate-avoiing cycles of lengths 3 (,..., n 2 an n in D 3 (). Together with the shorter cycles constructe aove, this emonstrates that D 3 () contains conjugate-avoiing cycles of length 3,...,n 2 an n. We complete the proof y noting that Theorem 3.3 from [17] shows that for any 3, χ irr (C n 1) +1. This implies that D 3 () contains no conjugate-avoiing cycle of length n 1. We have shown, however, that there is a conjugate-avoiing cycle of length n 1 in D 3 ( + 1) an hence that χ irr (C n 1) = + 1. For completeness, we state the following. Corollary 2. Let n 3 an 3 e integers, an let n = (. Then 3 n = 3, 5, 7, 9 4 n = 4, 6, 8 χ irr (C n ) = 4 an either n n n 2 or n = n an n = n Irregular Colorings of Paths In this section, we are intereste in etermining χ irr (P n ) for all n 2. It is not ifficult to see that χ irr (P 2 ) = χ irr (P 4 ) = 2 an that χ irr (P 3 ) = 3. For n 5 we will utilize Lemma 3 an emonstrate the existence of ounary istinguishe conjugate-avoiing paths of orer n 2 in D 3 () for an appropriate choice of. The main result of this section is as follows, an serves to verify a conjecture given in [15]. Theorem 3. Let 3 an n e integers such that n n + 2 e integers. Then χ irr (P n ) =. Proof. For 5 n 11, Theorem 3 can e easily verifie y inspection of Figure 1, which yiels ounary istinguishe conjugate-avoiing paths of length 3,...,9 in D 3 (. For n 12, an hence 4, Theorem 3 follows almost immeiately

9 DEBRUIJN-LIKE SEQUENCES AND IRREGULAR COLORINGS 9 from Theorem 1 an the following lemma, which appears as Proposition 4.3 in [15]. We give an alternate proof here that utilizes the oservations mae aove relating χ irr (P n ) to the structure of D 3 (). Lemma 4. For each integer n 5, χ irr (P n ) χ irr (C n 2 ). Proof. Let n e as given, an let χ irr (C n 2 ) = t. Let C e the conjugate-avoiing cycle in D 3 (t) associate with some irregular t-coloring of C n 2 an let a 1 a 2 a 3 an a 2 a 3 x e consecutive vertices on C. Let P e the path in D 3 (t) otaine y eleting the arc (a 1 a 2 a 3, a 2 a 3 x) from C. As C is conjugate-avoiing, so too is P, an since a 2 a 3, we conclue that P is ounary istinguishe. Thus P is a ounary istinguishe conjugate-avoiing path of orer n 2 in D 3 (t), implying that χ irr (P n ) t. It was shown in Theorem 1 that when 4, D 3 () contains conjugate-avoiing cycles of length 3,...,n 2 an n. This, along with Lemma 4, implies that if 5 n n or if n = n + 2 then χ irr (P n ). It remains to show that if n = n + 1 then χ irr (P n ). Inee, let C e a conjugate-avoiing cycle of length n in D 3 () an let a 1 a 2 a 3, a 2 a 3 a 4 an a 3 a 4 a 5 e three consecutive vertices on C. Removing a 2 a 3 a 4 from C will result in a conjugateavoiing path P an P will e ounary istinguishe provie a 2 a 4. That is, the removal of any non-palinrome from C will result in a ounary istinguishe conjugate-avoiing path of orer n 1 in D 3 (), implying that χ irr (P n +1). In particular, the preceing analysis yiels that if n n n + 2 then χ irr (P n ). Lemma 1 (with r = implies that for these values of n, χ irr (P n ). The result follows. 5. Conclusion It woul e of interest to exten the class of conjugate-free ebruijn-lie sequences to inclue those cyclic sequences whose t-element sustrings are istinct up to conjugation for some t > 3. At this time, we o not have a particular application of these sequences in min, ut it is reasonale to thin that one may e foun. The notion of an irregular vertex coloring of a graph is also relatively new, an we elieve that the area remains ripe for fruitful investigations in the future. A natural, an perhaps approachale, extension of the results in this paper woul e to etermine the irregular chromatic numer of an aritrary graph G with (G) 2; that is, G is an aritrary union of paths an cycles. Let G e the graph whose components are the paths P i1,...,p i an the cycles C j1,...,c jt where the inices are all at least three an are not necessarily istinct. In much the same manner as Lemma 2 an Lemma 3, an irregular -coloring of G correspons to a sugraph H of D 3 () compose of conjugate-avoiing cycles an ounary istinguishe conjugate-avoiing paths with the ae property that if w an w are in H then w = w. As implie y Lemma 1, if such a -coloring of G were to exist then n 2 (G) (. We conjecture that this is nearly optimal.

10 10 M. FERRARA, E. GETHNER, C. LEE, P. WALLIS Conjecture 1. Let G e a graph with (G) 2 an let e the unique integer such that ( ) ( ) 1 ( 1) + 1 n 2 (G). 2 2 Then χ irr (G) + 1. Also, while this paper was uner review, we receive notice that Theorems 1 an 3 were otaine inepenently in [3]. While [3] i not utilize structure ebruijn sequences, the intereste reaer may wish examine the approach there, as it provies an interesting contrast to the techniques employe in this paper. Acnowlegement: The authors woul lie to than the referees for their thoughtful comments, which improve oth the exposition an clarity of this paper. References [1] M. Alertson, D. Boutin, Distinguishing geometric graphs, J. Graph Theory 53 (2006), no. 2, [2] M. Alertson, K. Collins, Symmetry reaing in graphs. Electron. J. Comin. 3 (1996) R18. [3] M. Anerson, C. Barrientos, R. Brigham, J. Carrington, M. Kronman, R. Vitray an J. Yellen, The Irregular Chromatic Numer of Some Graph Classes, to appear in Bull. Inst. Comin. Appl. [4] J. Anerson, K. Fox, G. Nilo, A fast algorithm for the construction of universal footprinting templates in DNA. J. Math. Biol. 52 (2006), no. 3, [5] K. Appel, W. Haen. Every planar map is four colorale. Bull. Amer. Math. Soc. 82 (1976), no. 5, [6] P. Balister, B. Bollos, R.Schelp, Vertex istinguishing colorings of graphs with (G) = 2. Discrete Math. 252 (200, no. 1-3, [7] A. Burris, R. Schelp. Vertex-istinguishing proper ege colorings. J. Graph Theory 26 (1997) no 2, [8] G. Chartran, H. Escuaro, F. Oamoto, P. Zhang. Detectale colorings of graphs, Util. Math. To appear. [9] G. Chartran an L. Lesnia. Graphs an Digraphs, Fourth Eition. Chapman & Hall/ CRC. (2005). [10] G. Chartran, M. S. Jacoson, J. Lehel, O. Oellerman, S. Ruiz an F. Saa, Irregular Networs, Congr. Num., 64 (1988) [11] K. Collins, A. Tren. The istinguishing chromatic numer. Electron. J. Comin. 13 (2006), no. 1, R16. [12] N. G. ebruijn. A cominatorial prolem, Koninliije Neerlanse Aaemie v. Wetenschappen, 49 (1946) [13] F Harary, R.A. Melter. On the metric imension of a graph. ARS Comin. 2 (1976) [14] W. Imrich, S. Klaˇvzar, Distinguishing Cartesian powers of graphs, J. Graph Theory 53 (2006), no. 3, [15] F. Oamoto, M. Racliffe, P. Zhang. On the Irregular Chromatic Numer of a Graph. Congr. Num, 181 (2006) [16] N. Roertson, D. Saners, P. Seymour, R. Thomas. A new proof of the four-colour theorem. Electron. Res. Announc. Amer. Math. Soc. 2 (1996), no. 1, [17] M. Racliffe, P. Zhang. Irregular Colorings of Graphs, Bull. Inst. Comin. Appl., 49 (2007) [18] P. Slater. Leaves of Trees. Congr. Num, 14 (1975)

On colour-blind distinguishing colour pallets in regular graphs

On colour-blind distinguishing colour pallets in regular graphs J Comb Optim (2014 28:348 357 DOI 10.1007/s10878-012-9556-x On colour-blin istinguishing colour pallets in regular graphs Jakub Przybyło Publishe online: 25 October 2012 The Author(s 2012. This article

More information

Ramsey numbers of some bipartite graphs versus complete graphs

Ramsey numbers of some bipartite graphs versus complete graphs Ramsey numbers of some bipartite graphs versus complete graphs Tao Jiang, Michael Salerno Miami University, Oxfor, OH 45056, USA Abstract. The Ramsey number r(h, K n ) is the smallest positive integer

More information

arxiv: v1 [math.co] 15 Sep 2015

arxiv: v1 [math.co] 15 Sep 2015 Circular coloring of signe graphs Yingli Kang, Eckhar Steffen arxiv:1509.04488v1 [math.co] 15 Sep 015 Abstract Let k, ( k) be two positive integers. We generalize the well stuie notions of (k, )-colorings

More information

The chromatic number of graph powers

The chromatic number of graph powers Combinatorics, Probability an Computing (19XX) 00, 000 000. c 19XX Cambrige University Press Printe in the Unite Kingom The chromatic number of graph powers N O G A A L O N 1 an B O J A N M O H A R 1 Department

More information

6 General properties of an autonomous system of two first order ODE

6 General properties of an autonomous system of two first order ODE 6 General properties of an autonomous system of two first orer ODE Here we embark on stuying the autonomous system of two first orer ifferential equations of the form ẋ 1 = f 1 (, x 2 ), ẋ 2 = f 2 (, x

More information

On the enumeration of partitions with summands in arithmetic progression

On the enumeration of partitions with summands in arithmetic progression AUSTRALASIAN JOURNAL OF COMBINATORICS Volume 8 (003), Pages 149 159 On the enumeration of partitions with summans in arithmetic progression M. A. Nyblom C. Evans Department of Mathematics an Statistics

More information

Acute sets in Euclidean spaces

Acute sets in Euclidean spaces Acute sets in Eucliean spaces Viktor Harangi April, 011 Abstract A finite set H in R is calle an acute set if any angle etermine by three points of H is acute. We examine the maximal carinality α() of

More information

Permanent vs. Determinant

Permanent vs. Determinant Permanent vs. Determinant Frank Ban Introuction A major problem in theoretical computer science is the Permanent vs. Determinant problem. It asks: given an n by n matrix of ineterminates A = (a i,j ) an

More information

Lower bounds on Locality Sensitive Hashing

Lower bounds on Locality Sensitive Hashing Lower bouns on Locality Sensitive Hashing Rajeev Motwani Assaf Naor Rina Panigrahy Abstract Given a metric space (X, X ), c 1, r > 0, an p, q [0, 1], a istribution over mappings H : X N is calle a (r,

More information

Iterated Point-Line Configurations Grow Doubly-Exponentially

Iterated Point-Line Configurations Grow Doubly-Exponentially Iterate Point-Line Configurations Grow Doubly-Exponentially Joshua Cooper an Mark Walters July 9, 008 Abstract Begin with a set of four points in the real plane in general position. A to this collection

More information

Discrete Mathematics

Discrete Mathematics Discrete Mathematics 309 (009) 86 869 Contents lists available at ScienceDirect Discrete Mathematics journal homepage: wwwelseviercom/locate/isc Profile vectors in the lattice of subspaces Dániel Gerbner

More information

Lecture 5. Symmetric Shearer s Lemma

Lecture 5. Symmetric Shearer s Lemma Stanfor University Spring 208 Math 233: Non-constructive methos in combinatorics Instructor: Jan Vonrák Lecture ate: January 23, 208 Original scribe: Erik Bates Lecture 5 Symmetric Shearer s Lemma Here

More information

Combinatorica 9(1)(1989) A New Lower Bound for Snake-in-the-Box Codes. Jerzy Wojciechowski. AMS subject classification 1980: 05 C 35, 94 B 25

Combinatorica 9(1)(1989) A New Lower Bound for Snake-in-the-Box Codes. Jerzy Wojciechowski. AMS subject classification 1980: 05 C 35, 94 B 25 Combinatorica 9(1)(1989)91 99 A New Lower Boun for Snake-in-the-Box Coes Jerzy Wojciechowski Department of Pure Mathematics an Mathematical Statistics, University of Cambrige, 16 Mill Lane, Cambrige, CB2

More information

Perfect Matchings in Õ(n1.5 ) Time in Regular Bipartite Graphs

Perfect Matchings in Õ(n1.5 ) Time in Regular Bipartite Graphs Perfect Matchings in Õ(n1.5 ) Time in Regular Bipartite Graphs Ashish Goel Michael Kapralov Sanjeev Khanna Abstract We consier the well-stuie problem of fining a perfect matching in -regular bipartite

More information

Exact distance graphs of product graphs

Exact distance graphs of product graphs Exact istance graphs of prouct graphs Boštjan Brešar a,b Nicolas Gastineau c Sani Klavžar a,b, Olivier Togni c August 31, 2018 a Faculty of Natural Sciences an Mathematics, University of Maribor, Slovenia

More information

APPROXIMATE SOLUTION FOR TRANSIENT HEAT TRANSFER IN STATIC TURBULENT HE II. B. Baudouy. CEA/Saclay, DSM/DAPNIA/STCM Gif-sur-Yvette Cedex, France

APPROXIMATE SOLUTION FOR TRANSIENT HEAT TRANSFER IN STATIC TURBULENT HE II. B. Baudouy. CEA/Saclay, DSM/DAPNIA/STCM Gif-sur-Yvette Cedex, France APPROXIMAE SOLUION FOR RANSIEN HEA RANSFER IN SAIC URBULEN HE II B. Bauouy CEA/Saclay, DSM/DAPNIA/SCM 91191 Gif-sur-Yvette Ceex, France ABSRAC Analytical solution in one imension of the heat iffusion equation

More information

n 1 conv(ai) 0. ( 8. 1 ) we get u1 = u2 = = ur. Hence the common value of all the Uj Tverberg's Tl1eorem

n 1 conv(ai) 0. ( 8. 1 ) we get u1 = u2 = = ur. Hence the common value of all the Uj Tverberg's Tl1eorem 8.3 Tverberg's Tl1eorem 203 hence Uj E cone(aj ) Above we have erive L;=l 'Pi (uj ) = 0, an so by ( 8. 1 ) we get u1 = u2 = = ur. Hence the common value of all the Uj belongs to n;=l cone(aj ). It remains

More information

JUST THE MATHS UNIT NUMBER DIFFERENTIATION 2 (Rates of change) A.J.Hobson

JUST THE MATHS UNIT NUMBER DIFFERENTIATION 2 (Rates of change) A.J.Hobson JUST THE MATHS UNIT NUMBER 10.2 DIFFERENTIATION 2 (Rates of change) by A.J.Hobson 10.2.1 Introuction 10.2.2 Average rates of change 10.2.3 Instantaneous rates of change 10.2.4 Derivatives 10.2.5 Exercises

More information

Linear First-Order Equations

Linear First-Order Equations 5 Linear First-Orer Equations Linear first-orer ifferential equations make up another important class of ifferential equations that commonly arise in applications an are relatively easy to solve (in theory)

More information

On Pathos Lict Subdivision of a Tree

On Pathos Lict Subdivision of a Tree International J.Math. Combin. Vol.4 (010), 100-107 On Pathos Lict Subivision of a Tree Keerthi G.Mirajkar an Iramma M.Kaakol (Department of Mathematics, Karnatak Arts College, Dharwa-580 001, Karnataka,

More information

arxiv: v1 [cs.ds] 31 May 2017

arxiv: v1 [cs.ds] 31 May 2017 Succinct Partial Sums an Fenwick Trees Philip Bille, Aners Roy Christiansen, Nicola Prezza, an Freerik Rye Skjoljensen arxiv:1705.10987v1 [cs.ds] 31 May 2017 Technical University of Denmark, DTU Compute,

More information

Robustness and Perturbations of Minimal Bases

Robustness and Perturbations of Minimal Bases Robustness an Perturbations of Minimal Bases Paul Van Dooren an Froilán M Dopico December 9, 2016 Abstract Polynomial minimal bases of rational vector subspaces are a classical concept that plays an important

More information

arxiv: v1 [math.co] 13 Dec 2017

arxiv: v1 [math.co] 13 Dec 2017 The List Linear Arboricity of Graphs arxiv:7.05006v [math.co] 3 Dec 07 Ringi Kim Department of Mathematical Sciences KAIST Daejeon South Korea 344 an Luke Postle Department of Combinatorics an Optimization

More information

Chromatic number for a generalization of Cartesian product graphs

Chromatic number for a generalization of Cartesian product graphs Chromatic number for a generalization of Cartesian prouct graphs Daniel Král Douglas B. West Abstract Let G be a class of graphs. The -fol gri over G, enote G, is the family of graphs obtaine from -imensional

More information

Regular tree languages definable in FO and in FO mod

Regular tree languages definable in FO and in FO mod Regular tree languages efinable in FO an in FO mo Michael Beneikt Luc Segoufin Abstract We consier regular languages of labele trees. We give an effective characterization of the regular languages over

More information

Journal of Algebra. A class of projectively full ideals in two-dimensional Muhly local domains

Journal of Algebra. A class of projectively full ideals in two-dimensional Muhly local domains Journal of Algebra 32 2009 903 9 Contents lists available at ScienceDirect Journal of Algebra wwwelseviercom/locate/jalgebra A class of projectively full ieals in two-imensional Muhly local omains aymon

More information

arxiv: v1 [math.co] 31 Mar 2008

arxiv: v1 [math.co] 31 Mar 2008 On the maximum size of a (k,l)-sum-free subset of an abelian group arxiv:080386v1 [mathco] 31 Mar 2008 Béla Bajnok Department of Mathematics, Gettysburg College Gettysburg, PA 17325-186 USA E-mail: bbajnok@gettysburgeu

More information

The Wiener Index of Trees with Prescribed Diameter

The Wiener Index of Trees with Prescribed Diameter 011 1 15 4 ± Dec., 011 Operations Research Transactions Vol.15 No.4 The Wiener Inex of Trees with Prescribe Diameter XING Baohua 1 CAI Gaixiang 1 Abstract The Wiener inex W(G) of a graph G is efine as

More information

arxiv: v1 [math.co] 17 Feb 2011

arxiv: v1 [math.co] 17 Feb 2011 On Gromov s Metho of Selecting Heavily Covere Points Jiří Matoušek a,b Uli Wagner b, c August 16, 2016 arxiv:1102.3515v1 [math.co] 17 Feb 2011 Abstract A result of Boros an Fürei ( = 2) an of Bárány (arbitrary

More information

Applications of Lattice Theory to Distributed Computing

Applications of Lattice Theory to Distributed Computing Applications of Lattice Theory to Distriute Computing Vijay K. Garg ECE Department University of Texas Austin, TX, USA garg@ece.utexas.eu Neeraj Mittal CS Department University of Texas, Dallas Richarson,

More information

Interconnected Systems of Fliess Operators

Interconnected Systems of Fliess Operators Interconnecte Systems of Fliess Operators W. Steven Gray Yaqin Li Department of Electrical an Computer Engineering Ol Dominion University Norfolk, Virginia 23529 USA Abstract Given two analytic nonlinear

More information

19 Eigenvalues, Eigenvectors, Ordinary Differential Equations, and Control

19 Eigenvalues, Eigenvectors, Ordinary Differential Equations, and Control 19 Eigenvalues, Eigenvectors, Orinary Differential Equations, an Control This section introuces eigenvalues an eigenvectors of a matrix, an iscusses the role of the eigenvalues in etermining the behavior

More information

What s in an Attribute? Consequences for the Least Common Subsumer

What s in an Attribute? Consequences for the Least Common Subsumer What s in an Attribute? Consequences for the Least Common Subsumer Ralf Küsters LuFG Theoretical Computer Science RWTH Aachen Ahornstraße 55 52074 Aachen Germany kuesters@informatik.rwth-aachen.e Alex

More information

Technion - Computer Science Department - M.Sc. Thesis MSC Constrained Codes for Two-Dimensional Channels.

Technion - Computer Science Department - M.Sc. Thesis MSC Constrained Codes for Two-Dimensional Channels. Technion - Computer Science Department - M.Sc. Thesis MSC-2006- - 2006 Constraine Coes for Two-Dimensional Channels Keren Censor Technion - Computer Science Department - M.Sc. Thesis MSC-2006- - 2006 Technion

More information

Avoiding maximal parabolic subgroups of S k

Avoiding maximal parabolic subgroups of S k Discrete Mathematics an Theoretical Computer Science 4, 2000, 67 77 Avoiing maximal paraolic sugroups of S k Toufik Mansour 1 an Alek Vainshtein 2 Department of Mathematics an Department of Computer Science,

More information

u!i = a T u = 0. Then S satisfies

u!i = a T u = 0. Then S satisfies Deterministic Conitions for Subspace Ientifiability from Incomplete Sampling Daniel L Pimentel-Alarcón, Nigel Boston, Robert D Nowak University of Wisconsin-Maison Abstract Consier an r-imensional subspace

More information

7. Localization. (d 1, m 1 ) (d 2, m 2 ) d 3 D : d 3 d 1 m 2 = d 3 d 2 m 1. (ii) If (d 1, m 1 ) (d 1, m 1 ) and (d 2, m 2 ) (d 2, m 2 ) then

7. Localization. (d 1, m 1 ) (d 2, m 2 ) d 3 D : d 3 d 1 m 2 = d 3 d 2 m 1. (ii) If (d 1, m 1 ) (d 1, m 1 ) and (d 2, m 2 ) (d 2, m 2 ) then 7. Localization To prove Theorem 6.1 it becomes necessary to be able to a enominators to rings (an to moules), even when the rings have zero-ivisors. It is a tool use all the time in commutative algebra,

More information

Kolmogorov spectra of weak turbulence in media with two types of interacting waves

Kolmogorov spectra of weak turbulence in media with two types of interacting waves 3 Decemer 2001 Physics Letters A 291 (2001) 139 145 www.elsevier.com/locate/pla Kolmogorov spectra of wea turulence in meia with two types of interacting waves F. Dias a P. Guyenne V.E.Zaharov c a Centre

More information

Witt#5: Around the integrality criterion 9.93 [version 1.1 (21 April 2013), not completed, not proofread]

Witt#5: Around the integrality criterion 9.93 [version 1.1 (21 April 2013), not completed, not proofread] Witt vectors. Part 1 Michiel Hazewinkel Sienotes by Darij Grinberg Witt#5: Aroun the integrality criterion 9.93 [version 1.1 21 April 2013, not complete, not proofrea In [1, section 9.93, Hazewinkel states

More information

TOEPLITZ AND POSITIVE SEMIDEFINITE COMPLETION PROBLEM FOR CYCLE GRAPH

TOEPLITZ AND POSITIVE SEMIDEFINITE COMPLETION PROBLEM FOR CYCLE GRAPH English NUMERICAL MATHEMATICS Vol14, No1 Series A Journal of Chinese Universities Feb 2005 TOEPLITZ AND POSITIVE SEMIDEFINITE COMPLETION PROBLEM FOR CYCLE GRAPH He Ming( Λ) Michael K Ng(Ξ ) Abstract We

More information

Implicit Differentiation

Implicit Differentiation Implicit Differentiation Thus far, the functions we have been concerne with have been efine explicitly. A function is efine explicitly if the output is given irectly in terms of the input. For instance,

More information

The Complexity of Recognizing Tough Cubic Graphs

The Complexity of Recognizing Tough Cubic Graphs The Complexity of Recognizing Tough Cubic Graphs D. auer 1 J. van en Heuvel 2 A. Morgana 3 E. Schmeichel 4 1 Department of Mathematical Sciences, Stevens Institute of Technology Hoboken, NJ 07030, U.S.A.

More information

IMFM Institute of Mathematics, Physics and Mechanics Jadranska 19, 1000 Ljubljana, Slovenia. Preprint series Vol. 50 (2012), 1173 ISSN

IMFM Institute of Mathematics, Physics and Mechanics Jadranska 19, 1000 Ljubljana, Slovenia. Preprint series Vol. 50 (2012), 1173 ISSN IMFM Institute of Mathematics, Physics an Mechanics Jaransa 19, 1000 Ljubljana, Slovenia Preprint series Vol. 50 (2012), 1173 ISSN 2232-2094 PARITY INDEX OF BINARY WORDS AND POWERS OF PRIME WORDS Alesanar

More information

Diophantine Approximations: Examining the Farey Process and its Method on Producing Best Approximations

Diophantine Approximations: Examining the Farey Process and its Method on Producing Best Approximations Diophantine Approximations: Examining the Farey Process an its Metho on Proucing Best Approximations Kelly Bowen Introuction When a person hears the phrase irrational number, one oes not think of anything

More information

A Weak First Digit Law for a Class of Sequences

A Weak First Digit Law for a Class of Sequences International Mathematical Forum, Vol. 11, 2016, no. 15, 67-702 HIKARI Lt, www.m-hikari.com http://x.oi.org/10.1288/imf.2016.6562 A Weak First Digit Law for a Class of Sequences M. A. Nyblom School of

More information

arxiv: v2 [math.pr] 27 Nov 2018

arxiv: v2 [math.pr] 27 Nov 2018 Range an spee of rotor wals on trees arxiv:15.57v [math.pr] 7 Nov 1 Wilfrie Huss an Ecaterina Sava-Huss November, 1 Abstract We prove a law of large numbers for the range of rotor wals with ranom initial

More information

Determinant and Trace

Determinant and Trace Determinant an Trace Area an mappings from the plane to itself: Recall that in the last set of notes we foun a linear mapping to take the unit square S = {, y } to any parallelogram P with one corner at

More information

Similar Operators and a Functional Calculus for the First-Order Linear Differential Operator

Similar Operators and a Functional Calculus for the First-Order Linear Differential Operator Avances in Applie Mathematics, 9 47 999 Article ID aama.998.067, available online at http: www.iealibrary.com on Similar Operators an a Functional Calculus for the First-Orer Linear Differential Operator

More information

Lower Bounds for Local Monotonicity Reconstruction from Transitive-Closure Spanners

Lower Bounds for Local Monotonicity Reconstruction from Transitive-Closure Spanners Lower Bouns for Local Monotonicity Reconstruction from Transitive-Closure Spanners Arnab Bhattacharyya Elena Grigorescu Mahav Jha Kyomin Jung Sofya Raskhonikova Davi P. Wooruff Abstract Given a irecte

More information

Calculus in the AP Physics C Course The Derivative

Calculus in the AP Physics C Course The Derivative Limits an Derivatives Calculus in the AP Physics C Course The Derivative In physics, the ieas of the rate change of a quantity (along with the slope of a tangent line) an the area uner a curve are essential.

More information

Lower Bounds for the Smoothed Number of Pareto optimal Solutions

Lower Bounds for the Smoothed Number of Pareto optimal Solutions Lower Bouns for the Smoothe Number of Pareto optimal Solutions Tobias Brunsch an Heiko Röglin Department of Computer Science, University of Bonn, Germany brunsch@cs.uni-bonn.e, heiko@roeglin.org Abstract.

More information

Three-Variable Bracket Polynomial for Two-Bridge Knots

Three-Variable Bracket Polynomial for Two-Bridge Knots Three-Variable Bracket Polynomial for Two-Brige Knots Matthew Overuin Research Experience for Unergrauates California State University, San Bernarino San Bernarino, CA 92407 August 23, 2013 Abstract In

More information

The Principle of Least Action

The Principle of Least Action Chapter 7. The Principle of Least Action 7.1 Force Methos vs. Energy Methos We have so far stuie two istinct ways of analyzing physics problems: force methos, basically consisting of the application of

More information

A CHARACTRIZATION OF GRAPHS WITH 3-PATH COVERINGS AND THE EVALUATION OF THE MINIMUM 3-COVERING ENERGY OF A STAR GRAPH WITH M RAYS OF LENGTH 2

A CHARACTRIZATION OF GRAPHS WITH 3-PATH COVERINGS AND THE EVALUATION OF THE MINIMUM 3-COVERING ENERGY OF A STAR GRAPH WITH M RAYS OF LENGTH 2 A CHARACTRIZATION OF GRAPHS WITH -PATH COVERINGS AND THE EVALUATION OF THE MINIMUM -COVERING ENERGY OF A STAR GRAPH WITH M RAYS OF LENGTH PAUL AUGUST WINTER DEPARTMENT OF MATHEMATICS, UNIVERSITY OF KWAZULU

More information

ALGEBRAIC AND ANALYTIC PROPERTIES OF ARITHMETIC FUNCTIONS

ALGEBRAIC AND ANALYTIC PROPERTIES OF ARITHMETIC FUNCTIONS ALGEBRAIC AND ANALYTIC PROPERTIES OF ARITHMETIC FUNCTIONS MARK SCHACHNER Abstract. When consiere as an algebraic space, the set of arithmetic functions equippe with the operations of pointwise aition an

More information

Table of Common Derivatives By David Abraham

Table of Common Derivatives By David Abraham Prouct an Quotient Rules: Table of Common Derivatives By Davi Abraham [ f ( g( ] = [ f ( ] g( + f ( [ g( ] f ( = g( [ f ( ] g( g( f ( [ g( ] Trigonometric Functions: sin( = cos( cos( = sin( tan( = sec

More information

Lecture 22. Lecturer: Michel X. Goemans Scribe: Alantha Newman (2004), Ankur Moitra (2009)

Lecture 22. Lecturer: Michel X. Goemans Scribe: Alantha Newman (2004), Ankur Moitra (2009) 8.438 Avance Combinatorial Optimization Lecture Lecturer: Michel X. Goemans Scribe: Alantha Newman (004), Ankur Moitra (009) MultiFlows an Disjoint Paths Here we will survey a number of variants of isjoint

More information

Transreal Limits and Elementary Functions

Transreal Limits and Elementary Functions Transreal Limits an Elementary Functions Tiago S. os Reis, James A. D. W. Anerson Abstract We exten all elementary functions from the real to the transreal omain so that they are efine on ivision by zero.

More information

On the Cauchy Problem for Von Neumann-Landau Wave Equation

On the Cauchy Problem for Von Neumann-Landau Wave Equation Journal of Applie Mathematics an Physics 4 4-3 Publishe Online December 4 in SciRes http://wwwscirporg/journal/jamp http://xoiorg/436/jamp4343 On the Cauchy Problem for Von Neumann-anau Wave Equation Chuangye

More information

Chapter 5. Factorization of Integers

Chapter 5. Factorization of Integers Chapter 5 Factorization of Integers 51 Definition: For a, b Z we say that a ivies b (or that a is a factor of b, or that b is a multiple of a, an we write a b, when b = ak for some k Z 52 Theorem: (Basic

More information

arxiv: v4 [cs.ds] 7 Mar 2014

arxiv: v4 [cs.ds] 7 Mar 2014 Analysis of Agglomerative Clustering Marcel R. Ackermann Johannes Blömer Daniel Kuntze Christian Sohler arxiv:101.697v [cs.ds] 7 Mar 01 Abstract The iameter k-clustering problem is the problem of partitioning

More information

Tractability results for weighted Banach spaces of smooth functions

Tractability results for weighted Banach spaces of smooth functions Tractability results for weighte Banach spaces of smooth functions Markus Weimar Mathematisches Institut, Universität Jena Ernst-Abbe-Platz 2, 07740 Jena, Germany email: markus.weimar@uni-jena.e March

More information

1 dx. where is a large constant, i.e., 1, (7.6) and Px is of the order of unity. Indeed, if px is given by (7.5), the inequality (7.

1 dx. where is a large constant, i.e., 1, (7.6) and Px is of the order of unity. Indeed, if px is given by (7.5), the inequality (7. Lectures Nine an Ten The WKB Approximation The WKB metho is a powerful tool to obtain solutions for many physical problems It is generally applicable to problems of wave propagation in which the frequency

More information

A new proof of the sharpness of the phase transition for Bernoulli percolation on Z d

A new proof of the sharpness of the phase transition for Bernoulli percolation on Z d A new proof of the sharpness of the phase transition for Bernoulli percolation on Z Hugo Duminil-Copin an Vincent Tassion October 8, 205 Abstract We provie a new proof of the sharpness of the phase transition

More information

Qubit channels that achieve capacity with two states

Qubit channels that achieve capacity with two states Qubit channels that achieve capacity with two states Dominic W. Berry Department of Physics, The University of Queenslan, Brisbane, Queenslan 4072, Australia Receive 22 December 2004; publishe 22 March

More information

Introduction to the Vlasov-Poisson system

Introduction to the Vlasov-Poisson system Introuction to the Vlasov-Poisson system Simone Calogero 1 The Vlasov equation Consier a particle with mass m > 0. Let x(t) R 3 enote the position of the particle at time t R an v(t) = ẋ(t) = x(t)/t its

More information

II. First variation of functionals

II. First variation of functionals II. First variation of functionals The erivative of a function being zero is a necessary conition for the etremum of that function in orinary calculus. Let us now tackle the question of the equivalent

More information

Mark J. Machina CARDINAL PROPERTIES OF "LOCAL UTILITY FUNCTIONS"

Mark J. Machina CARDINAL PROPERTIES OF LOCAL UTILITY FUNCTIONS Mark J. Machina CARDINAL PROPERTIES OF "LOCAL UTILITY FUNCTIONS" This paper outlines the carinal properties of "local utility functions" of the type use by Allen [1985], Chew [1983], Chew an MacCrimmon

More information

NOTES ON EULER-BOOLE SUMMATION (1) f (l 1) (n) f (l 1) (m) + ( 1)k 1 k! B k (y) f (k) (y) dy,

NOTES ON EULER-BOOLE SUMMATION (1) f (l 1) (n) f (l 1) (m) + ( 1)k 1 k! B k (y) f (k) (y) dy, NOTES ON EULER-BOOLE SUMMATION JONATHAN M BORWEIN, NEIL J CALKIN, AND DANTE MANNA Abstract We stuy a connection between Euler-MacLaurin Summation an Boole Summation suggeste in an AMM note from 196, which

More information

Range and speed of rotor walks on trees

Range and speed of rotor walks on trees Range an spee of rotor wals on trees Wilfrie Huss an Ecaterina Sava-Huss May 15, 1 Abstract We prove a law of large numbers for the range of rotor wals with ranom initial configuration on regular trees

More information

Two formulas for the Euler ϕ-function

Two formulas for the Euler ϕ-function Two formulas for the Euler ϕ-function Robert Frieman A multiplication formula for ϕ(n) The first formula we want to prove is the following: Theorem 1. If n 1 an n 2 are relatively prime positive integers,

More information

LEGENDRE TYPE FORMULA FOR PRIMES GENERATED BY QUADRATIC POLYNOMIALS

LEGENDRE TYPE FORMULA FOR PRIMES GENERATED BY QUADRATIC POLYNOMIALS Ann. Sci. Math. Québec 33 (2009), no 2, 115 123 LEGENDRE TYPE FORMULA FOR PRIMES GENERATED BY QUADRATIC POLYNOMIALS TAKASHI AGOH Deicate to Paulo Ribenboim on the occasion of his 80th birthay. RÉSUMÉ.

More information

Sharp Thresholds. Zachary Hamaker. March 15, 2010

Sharp Thresholds. Zachary Hamaker. March 15, 2010 Sharp Threshols Zachary Hamaker March 15, 2010 Abstract The Kolmogorov Zero-One law states that for tail events on infinite-imensional probability spaces, the probability must be either zero or one. Behavior

More information

Arm Voltage Estimation Method for Compensated Modulation of Modular Multilevel Converters

Arm Voltage Estimation Method for Compensated Modulation of Modular Multilevel Converters Arm Voltage Estimation Metho for Compensate Moulation of Moular Multilevel Converters Ael A. Taffese Elisaetta Teeschi Dept. of Electric Power Engineering Norwegian University of Science an Technology

More information

3.7 Implicit Differentiation -- A Brief Introduction -- Student Notes

3.7 Implicit Differentiation -- A Brief Introduction -- Student Notes Fin these erivatives of these functions: y.7 Implicit Differentiation -- A Brief Introuction -- Stuent Notes tan y sin tan = sin y e = e = Write the inverses of these functions: y tan y sin How woul we

More information

SYNCHRONOUS SEQUENTIAL CIRCUITS

SYNCHRONOUS SEQUENTIAL CIRCUITS CHAPTER SYNCHRONOUS SEUENTIAL CIRCUITS Registers an counters, two very common synchronous sequential circuits, are introuce in this chapter. Register is a igital circuit for storing information. Contents

More information

The canonical controllers and regular interconnection

The canonical controllers and regular interconnection Systems & Control Letters ( www.elsevier.com/locate/sysconle The canonical controllers an regular interconnection A.A. Julius a,, J.C. Willems b, M.N. Belur c, H.L. Trentelman a Department of Applie Mathematics,

More information

ON BEAUVILLE STRUCTURES FOR PSL(2, q)

ON BEAUVILLE STRUCTURES FOR PSL(2, q) ON BEAUVILLE STRUCTURES FOR PSL(, q) SHELLY GARION Abstract. We characterize Beauville surfaces of unmixe type with group either PSL(, p e ) or PGL(, p e ), thus extening previous results of Bauer, Catanese

More information

Notes on Lie Groups, Lie algebras, and the Exponentiation Map Mitchell Faulk

Notes on Lie Groups, Lie algebras, and the Exponentiation Map Mitchell Faulk Notes on Lie Groups, Lie algebras, an the Exponentiation Map Mitchell Faulk 1. Preliminaries. In these notes, we concern ourselves with special objects calle matrix Lie groups an their corresponing Lie

More information

Hilbert functions and Betti numbers of reverse lexicographic ideals in the exterior algebra

Hilbert functions and Betti numbers of reverse lexicographic ideals in the exterior algebra Turk J Math 36 (2012), 366 375. c TÜBİTAK oi:10.3906/mat-1102-21 Hilbert functions an Betti numbers of reverse lexicographic ieals in the exterior algebra Marilena Crupi, Carmela Ferró Abstract Let K be

More information

Pseudo-Free Families of Finite Computational Elementary Abelian p-groups

Pseudo-Free Families of Finite Computational Elementary Abelian p-groups Pseuo-Free Families of Finite Computational Elementary Abelian p-groups Mikhail Anokhin Information Security Institute, Lomonosov University, Moscow, Russia anokhin@mccme.ru Abstract We initiate the stuy

More information

Lecture Introduction. 2 Examples of Measure Concentration. 3 The Johnson-Lindenstrauss Lemma. CS-621 Theory Gems November 28, 2012

Lecture Introduction. 2 Examples of Measure Concentration. 3 The Johnson-Lindenstrauss Lemma. CS-621 Theory Gems November 28, 2012 CS-6 Theory Gems November 8, 0 Lecture Lecturer: Alesaner Mąry Scribes: Alhussein Fawzi, Dorina Thanou Introuction Toay, we will briefly iscuss an important technique in probability theory measure concentration

More information

Math 342 Partial Differential Equations «Viktor Grigoryan

Math 342 Partial Differential Equations «Viktor Grigoryan Math 342 Partial Differential Equations «Viktor Grigoryan 6 Wave equation: solution In this lecture we will solve the wave equation on the entire real line x R. This correspons to a string of infinite

More information

Variable Independence and Resolution Paths for Quantified Boolean Formulas

Variable Independence and Resolution Paths for Quantified Boolean Formulas Variable Inepenence an Resolution Paths for Quantifie Boolean Formulas Allen Van Geler http://www.cse.ucsc.eu/ avg University of California, Santa Cruz Abstract. Variable inepenence in quantifie boolean

More information

Agmon Kolmogorov Inequalities on l 2 (Z d )

Agmon Kolmogorov Inequalities on l 2 (Z d ) Journal of Mathematics Research; Vol. 6, No. ; 04 ISSN 96-9795 E-ISSN 96-9809 Publishe by Canaian Center of Science an Eucation Agmon Kolmogorov Inequalities on l (Z ) Arman Sahovic Mathematics Department,

More information

Least-Squares Regression on Sparse Spaces

Least-Squares Regression on Sparse Spaces Least-Squares Regression on Sparse Spaces Yuri Grinberg, Mahi Milani Far, Joelle Pineau School of Computer Science McGill University Montreal, Canaa {ygrinb,mmilan1,jpineau}@cs.mcgill.ca 1 Introuction

More information

arxiv: v2 [math.st] 29 Oct 2015

arxiv: v2 [math.st] 29 Oct 2015 EXPONENTIAL RANDOM SIMPLICIAL COMPLEXES KONSTANTIN ZUEV, OR EISENBERG, AND DMITRI KRIOUKOV arxiv:1502.05032v2 [math.st] 29 Oct 2015 Abstract. Exponential ranom graph moels have attracte significant research

More information

Quantum mechanical approaches to the virial

Quantum mechanical approaches to the virial Quantum mechanical approaches to the virial S.LeBohec Department of Physics an Astronomy, University of Utah, Salt Lae City, UT 84112, USA Date: June 30 th 2015 In this note, we approach the virial from

More information

On the number of isolated eigenvalues of a pair of particles in a quantum wire

On the number of isolated eigenvalues of a pair of particles in a quantum wire On the number of isolate eigenvalues of a pair of particles in a quantum wire arxiv:1812.11804v1 [math-ph] 31 Dec 2018 Joachim Kerner 1 Department of Mathematics an Computer Science FernUniversität in

More information

Characterizing Real-Valued Multivariate Complex Polynomials and Their Symmetric Tensor Representations

Characterizing Real-Valued Multivariate Complex Polynomials and Their Symmetric Tensor Representations Characterizing Real-Value Multivariate Complex Polynomials an Their Symmetric Tensor Representations Bo JIANG Zhening LI Shuzhong ZHANG December 31, 2014 Abstract In this paper we stuy multivariate polynomial

More information

On the minimum distance of elliptic curve codes

On the minimum distance of elliptic curve codes On the minimum istance of elliptic curve coes Jiyou Li Department of Mathematics Shanghai Jiao Tong University Shanghai PRChina Email: lijiyou@sjtueucn Daqing Wan Department of Mathematics University of

More information

THE GENUINE OMEGA-REGULAR UNITARY DUAL OF THE METAPLECTIC GROUP

THE GENUINE OMEGA-REGULAR UNITARY DUAL OF THE METAPLECTIC GROUP THE GENUINE OMEGA-REGULAR UNITARY DUAL OF THE METAPLECTIC GROUP ALESSANDRA PANTANO, ANNEGRET PAUL, AND SUSANA A. SALAMANCA-RIBA Abstract. We classify all genuine unitary representations of the metaplectic

More information

The Exact Form and General Integrating Factors

The Exact Form and General Integrating Factors 7 The Exact Form an General Integrating Factors In the previous chapters, we ve seen how separable an linear ifferential equations can be solve using methos for converting them to forms that can be easily

More information

Calculus of Variations

Calculus of Variations 16.323 Lecture 5 Calculus of Variations Calculus of Variations Most books cover this material well, but Kirk Chapter 4 oes a particularly nice job. x(t) x* x*+ αδx (1) x*- αδx (1) αδx (1) αδx (1) t f t

More information

Bulletin of the Iranian Mathematical Society

Bulletin of the Iranian Mathematical Society ISSN: 117-6X (Print) ISSN: 1735-8515 (Online) Bulletin of the Iranian Mathematical Society Vol. 4 (14), No. 6, pp. 1491 154. Title: The locating chromatic number of the join of graphs Author(s): A. Behtoei

More information

Lenny Jones Department of Mathematics, Shippensburg University, Shippensburg, Pennsylvania Daniel White

Lenny Jones Department of Mathematics, Shippensburg University, Shippensburg, Pennsylvania Daniel White #A10 INTEGERS 1A (01): John Selfrige Memorial Issue SIERPIŃSKI NUMBERS IN IMAGINARY QUADRATIC FIELDS Lenny Jones Deartment of Mathematics, Shiensburg University, Shiensburg, Pennsylvania lkjone@shi.eu

More information

Sturm-Liouville Theory

Sturm-Liouville Theory LECTURE 5 Sturm-Liouville Theory In the three preceing lectures I emonstrate the utility of Fourier series in solving PDE/BVPs. As we ll now see, Fourier series are just the tip of the iceberg of the theory

More information

Integer partitions into arithmetic progressions

Integer partitions into arithmetic progressions Rostock. Math. Kolloq. 64, 11 16 (009) Subject Classification (AMS) 05A17, 11P81 Saek Bouroubi, Nesrine Benyahia Tani Integer partitions into arithmetic progressions ABSTRACT. Every number not in the form

More information

HKBU Institutional Repository

HKBU Institutional Repository Hong Kong Baptist University HKBU Institutional Repository Department of Mathematics Journal Articles Department of Mathematics 2003 Extremal k*-cycle resonant hexagonal chains Wai Chee Shiu Hong Kong

More information

. Using a multinomial model gives us the following equation for P d. , with respect to same length term sequences.

. Using a multinomial model gives us the following equation for P d. , with respect to same length term sequences. S 63 Lecture 8 2/2/26 Lecturer Lillian Lee Scribes Peter Babinski, Davi Lin Basic Language Moeling Approach I. Special ase of LM-base Approach a. Recap of Formulas an Terms b. Fixing θ? c. About that Multinomial

More information