Supplementary information Efficient Enumeration of Monocyclic Chemical Graphs with Given Path Frequencies

Size: px
Start display at page:

Download "Supplementary information Efficient Enumeration of Monocyclic Chemical Graphs with Given Path Frequencies"

Transcription

1 Supplementay infomation Efficient Enumeation of Monocyclic Chemical Gaphs with Given Path Fequencies Masaki Suzuki, Hioshi Nagamochi Gaduate School of Infomatics, Kyoto Univesity {m Tatsuya Akutsu Bioinfomatics Cente, Institute fo Chemical Reseach, Kyoto Univesity S1 Poof of Lemmas and Theoems S1.1 Poof of Lemma 1 Poof: Case I. C contains the oot (centoid) of T : Since the centoid is in C, the 1-augmented tee G = T + xy has no heavy edge incident to C and we check if π(g) = T accoding to the definition of paent in Case 1. Then we compute σ (v) fo all vetices v V (T ) and σ (e) fo all simple edges e in C, as discussed in the definition of paent π in Case 1. If xy E (C) then T + xy is a child of T ; othewise T + xy is not a child of T. To compute σ, we need to know the signatue σ(t w ) of each tee T w with w N(v) and v V (T ). Since C contains the oot of T, all these tees T w appea as subtees of T ooted at w and we know thei signatue σ(t w ) fom the codes δ(τ) and M(τ) on the labeling dfs(τ). With an adequate data stuctue, we can compute σ(t w ) of each tee T w in O(1) time and testing whethe T = π(t +xy) can be done in O( V (C) 2 ) time due to veifying that c (xy) is the lexicogaphically maximum code among c (e) fo at most V (C) simple edges e in C, whose length ae 2 V (C) 1. Case II. C does not contain the oot (centoid) of T : Since the centoid is not in C, G = T +xy has a heavy edge v w incident to a vetex v in C and we check if π(g) = T accoding to the definition of paent in Case 2. In Case 2, only one of the two edges in C incident to v is emoved fom G to define its paent π(g). Hence G = T + xy can be a child of T only when xy is incident to v, i.e., one of x and y (say x) is equal to v and the othe y is a descendant of v = x (othewise we conclude that T + xy is not a child of T ). If the othe edge xz in C incident to v = x is not a simple edge, then T + xy is a child of T. When xz is a simple edge, we compute σ (xy) and σ (xz) as discussed in the definition of paent π in Case 2. Then T + xy is a child of T if and only if σ (xy) is not smalle than σ (xz). We can compute σ in the simila manne of Case I. We hee emak that afte the fist stage, we have not computed the signatue σ of any tee T w with w N(v ) since none of such tee is a subtee ooted at w in the tee T ooted at its centoid. Howeve, such tees ae ignoed in computing σ in Case 2. We can compute σ (xy) and σ (xz) in O( V (C) ) time and testing whethe T = π(t + xy) can be accomplished in O( V (C) ) time due to compaing codes c (xy) and c (xz), whose length ae 2 V (C) 1. The above pocedue is descibed as follows. Algoithm ChildTest Input: A ooted left-heavy multi-tee T and a pai (x, y) of nonadjacent vetices in V (T ). 1

2 Output: yes if T + xy is a child; no othewise. 1: if The cycle C in T + xy contains the oot (centoid) of T then /* Case I */ 2: Compute σ (v) fo all vetices v V (T ) and σ (e) fo all simple edges e in C, as in the definition of paent π in Case 1; 3: Retun yes if xy E (C) o no othewise 4: else /* Case II: Now G = T + xy has a heavy edge v w incident to a vetex v in C */ 5: if xy is not incident to v then etun no 6: else 7: if the othe edge xz in C incident to v = x is not a simple edge then etun yes 8: else /* xz is a simple edge */ 9: Compute σ (xy) and σ (xz) as in the definition of paent π in Case 2; 10: if σ (xy) is not smalle than σ (xz) then etun yes 11: else etun no 12: end if 13: end if 14: end if 15: end if S1.2 Poof of Theoem 2 Poof: Fo a tee T and two vetices x, y V (T ), let P (x, y) denote the unique path in T that connects x and y. Fo a vetex in the unique cycle C in a 1-augmented tee G, let G u denote the component containing u that appeas afte emoving the two edges in C incident to u. Hence G u is a subtee of G, and we egad it as a subtee ooted at u. Let σ (u; C) denote the signatue of G u ; σ (u; C) = σ (v; C) if and only if G u G v. When G is obtained fom a tee T by adding an edge uv, the unique cycle in G is denoted by C uv. lca(u, v) denote the least common ancesto of u and v, i.e., the highest vetex in P (u, v) (in a tee T ooted at a bicentoid c T =, the least common ancesto lca(x, y) of two vetices such that x V (T ) and y V (T ) is defined to be the edge c T = ). In a ooted tee, a pai of vetices x and y is called compaable if one of them is an ancesto of the othe. Let dfs be the depth-fist seach numbe obtained by tavesing T stating fom, whee = c T o the left endpoint of c T =. To pove this theoem, we deive a contadiction assuming that thee ae pais of nonadjacent vetices {u, v}, {u, v } V (T ) such that T + uv T + u v but T + uv T + u v. Among such pais, we choose {u, v}, {u, v } V (T ) so that dfs(u) + dfs(v) + dfs(u ) + dfs(v ) is minimized. Assume without loss of geneality that dfs(u) < dfs(v), dfs(u ) < dfs(v ) and dfs(u) dfs(u ). Note that the assumption implies that vetex lca(u, u ) has no two childen a and a in T such that u V (T a ), u V (T a ) and T a T a, (1) whee T + ûv T + u v holds fo the vetex û V (T a ) with ξ(û) = u in the ooted-isomophism ξ fom T a to T a. This is because T + uv T + ûv if and only if T + uv T + u v (by T + ûv T + u v ) and theeby if (1) holds, then (u, v) and (û, v ) would have a smalle sum of dfs than that by (u, v) and (u, v ). Similaly lca(v, v ) has no two childen a and a in T such that v V (T a ), v V (T a ) and T a T a. We fist pove that T + uv T + u v implies that lca(u, v) = lca(u, v ) = c T (note that this implies that u, u V (T ) and v, v V (T ) when c T = ). Assume indiectly that lca(u, v) c T (when c T = ) and lca(u, v) {, } (when c T = ). Then the vetex a = lca(u, v) has a unique code σ (a; C uv ) among all vetices in C uv, since the 2

3 subtee G a of G = T + uv contains c T and has moe than n/2 vetices. Hence ψ(a) is a vetex b V (C u v ) which has the same code σ (a; C uv ) = σ (b; C u v ), indicating that the subtee G b of G = T + u v must contain c T. Moeove σ (a; C uv ) = σ (b; C u v ) means that ψ maps c T = (esp., c T = ) in T + uv to c T = (esp., c T = ) in T + u v, i.e., T + uv T + u v, a contadiction to the assumption on (u, v) and (u, v ). Hence lca(u, v) = c T (when c T = ) and lca(u, v) {, } (when c T = ). Analogously, lca(u, v ) = c T o lca(u, v ) {, } (when c T = ). When c T =, this poves that lca(u, v) = lca(u, v ) = = c T. Conside the case of c T = and lca(u, v) lca(u, v ), i.e., lca(u, v) = o lca(u, v ) = (since dfs(u) dfs(u ) and dfs() < dfs( )). Assume lca(u, v) = (the case of lca(u, v ) = can be teated analogously). Then vetex = lca(u, v) still has a unique code σ (; C uv ) among all vetices in C uv, whee G contains a subtee (ooted at ) with at least n/2 vetices, and ψ() must be vetex V (C u v ) which can have the same code σ (; C uv ) = σ ( ; C u v ). Then lca(u, v ) = holds (othewise G cannot contain a subtee with at least n/2 vetices). This means that the subtees T and T of T ae ooted-isomophic, and ψ() = and ψ( ) =, i.e., T + uv T + u v, a contadiction to the assumption on (u, v) and (u, v ). This completes the poof of popety that lca(u, v) = lca(u, v ) = c T. Now lca(u, u ) and lca(v, v ) ae both on the cycles C uv and C u v. In what follows, we show that thee ae ooted-isomophic subtees T a and T b of T, whee a and b ae childen of unicentoid c T = o a = and b = of bicentoid c T =, such that u, u V (T a ), v, v V (T b ) and the ooted-isomophism ξ fom T a to T b satisfies ξ(u) = v and ξ(u ) = v. (2) Note that this implies that T + uv and T + u v admit a ooted-isomophism, which contadicts the assumption on (u, v) and (u, v ). Visiting C uv (esp., C u v ) in the clockwise ode means to tavese the cycle stating fom lca(u, u ), visiting the ancestos of lca(u, u ) and then visiting the est of vetices in the cycle. Let σ (C uv ) = (σ (t 1 ; C uv ), σ (t 2 ; C uv ),..., σ (t c ; C uv )) be the sequence of codes of vetices in C uv that appea fom the fist vetex t 1 = lca(u, u ) to the last vetex t c (c = V (C uv ) = V (C u v ) ) in the clockwise ode. Let σ (C u v ) = (σ (t 1; C u v ), σ (t 2; C u v ),..., σ (t c; C u v )) be the sequence of codes of vetices in C u v that appea fom the fist vetex t 1 = lca(u, u ) to the last vetex t c in the clockwise ode. The isomophism ψ fom G = T + uv to G = T + u v maps σ (C uv ) to σ (C u v ) in one of the following ways: (i) otate σ (C uv ) by some amount 0 s < c in the clockwise ode to get σ (C uv ); o (ii) flip σ (C uv ) at t 1 and then otate the flipped sequence by some amount 0 s < c in the clockwise ode to get σ (C uv ). The isomophism ψ in the fome is denoted by ψ = (1, s) and the latte by ψ = ( 1, s). We distinguish the thee cases: Case 1. Each of (u, u ) and (v, v ) is compaable in T ; Case 2. Exactly one of (u, u ) and (v, v ) is compaable in T ; and Case 3. Each of (u, u ) and (v, v ) is incompaable in T. Case 1. Each of (u, u ) and (v, v ) is compaable in T : By lca(u, v) = lca(u, v ) = c T and dfs(u) dfs(u ), we see that u is an ancesto of u and v is an ancesto of v. In this case, the unique path P (u, v) of T connecting u and v contains vetices u, u, v and v in this ode. Denote the sequence of vetices in P (u, v) by u 0 (= u ), u 1,..., u h (= u),..., u L h (= v ),..., u L (= v), whee 1-augmented tee T + uv (esp., T = u v ) has a unique cycle C uv = (u h, u h+1,..., u L ) (esp., C u v = (u h, u h+1,..., u L h, u 0, u 1,..., u h 1 )) and it holds V (C uv ) = V (C u v ) = L h + 1. (See Figue S1.) We fist pove that σ (u h ; C uv ) = σ (u L h ; C u v ) holds. Since σ (u h ; C uv ) is the signatue of subtee G uh of 1-augmented tee G = T + uv, it cannot be equal to σ (u i ; C u v ) fo any i = 0, 1,..., h (othewise G uh would be a pope subtee of itself fo i < h o the degee of u h in T + uv would be equal to that of u h in T + u v fo i = h). Hence ψ(u h ) {u h+1, u h+2,..., u L h }. Note that σ (x; C uv ) = σ (x; C u v ) fo all x {u h+1, u h+2,..., u L h 1 } = V (C uv ) V (C u v ) {u h, u L h }. Hence ψ(ψ(u h )) {u h+1, u h+2,..., u L h } and thee is an intege p 1 such that ψ p (u h ) = u L h since ψ gives a bijection between V (C uv ) and V (C u v ). This poves that 3

4 Figue S1: Case 1 (Each of (u, u ) and (v, v ) is compaable in T ). σ (u h ; C uv ) = σ (u L h ; C u v ), i.e., the subtee G u h of 1-augmented tee G = T + uv is ootedisomophic to the subtee G u L h of 1-augmented tee G = T + u v. We futhe pove that σ (u L j ; C uv ) = σ (u j ; C u v ) holds fo all j = 0, 1,..., h 1. To deive a contadiction, assume that thee is an intege k h 1 such that σ (u L k ; C uv ) σ (u k ; C u v ) and σ (u L j ; C uv ) = σ (u j ; C u v ) holds fo all j = k+1, k+2,..., h. (See Figue S2.) Conside ψ(u L k ). Note that ψ(u L k ) u L h, since G ul k of G is a pope subtee of T ul k. If ψ(u L k ) = u p {u k+1, u k+2,..., u h }, then σ (u p ; C u v ) = σ (u L p ; C uv ) holds by assumption on k and we egads that u L k is futhe mapped to u L p V (C uv ) to apply ψ to u L p. Moe fomally we conside a mapping ξ such that ξ(x) = ψ(x) fo x {u h+1, u h+2,..., u L h 1 } and ξ(u p ) = ψ(u L p ) fo u p {u k+1, u k+2,..., u h }. Hence by epeatedly mapping with ξ as long as it is mapped to a vetex in {u k+1, u k+2,..., u h } {u h+1, u h+2,..., u L h 1 }, we see that thee is a vetex u q with 0 q < k such that σ (u L k ; C uv ) = σ (u q ; C u v ) (ecall that σ (u L k ; C uv ) σ (u k ; C u v )). This means that the subtee G u L k of 1-augmented tee G = T + uv is adjacent to a pope descendant of u k in T, which contadicts that G uh G u L h (since σ (u L j ; C uv ) = σ (u j ; C u v ) holds fo all j = k, k + 1,..., h 1). Theefoe σ (u L j ; C uv ) = σ (u j ; C u v ) holds fo all j = 0, 1,..., h. (3) We now distinguish two cases: (i) ψ = (1, s); and (ii) ψ = ( 1, s). (i) ψ = (1, s): As we have obseved that thee is an intege p 1 such that ψ p (u h ) = u L h. Let a 0 = u h, a i = ψ i (u h ) fo i = 1, 2,..., p, whee vetices a 0 = u h, a 1,..., a p = u L h belong to V (C uv ) V (C u v ), but they may not appea along C uv in this ode. In paticula, σ (a i ; C uv ) = σ (a i ; C u v ) holds fo all 1 i p 1. Let {u l 0, u l1,..., u lp } = {a 0, a 1,..., a p }, whee h = l 0 < l 1 < < l p = L h. Let S 1, S 2,..., S p be the sequences of vetices between two consecutive vetices u li and u li+1 ; i.e., S i = (u li 1 +1, u li 1 +2,..., u li 1) fo each i = 1, 2,..., p. Let S 1 = (u 0, u 1,..., u l1 1, u l1 ) and S p = (u lp 1, u lp 1+1,..., u L ). Let σ (S i ) denote the sequence of codes σ (x) of vetices x along S i (note that σ (x; C uv ) = σ (x; C u v ) fo each of such x). Let σ (S 1) denote the sequence of codes σ (x; C u v ) of vetices x along S 1 and σ (S p) the sequence of codes σ (x; C uv ) of vetices x along S p. (See Figue S3.) We will show that (a) each of S i, S 1 and S p is symmetic in the sense that it is identical with its evese sequence; and (b) σ (S 1) = σ (S p) and fo each S i = (u j,..., u j ), thee is a sequence S i in its symmetic position (i.e., S i = (u L j,..., u L j )). Note that conditions (a) and (b) indicate that T has two subtees T a and T b satisfying condition (2), and hence T + uv and T + u v admit 4

5 Figue S2: Case 1 (Each of (u, u ) and (v, v ) is compaable in T ). Figue S3: Case (i) ψ = (1; s). 5

6 a ooted-isomophism, which contadicts the assumption on (u, v) and (u, v ). Since ψ = (1, s) maps a vetex u k in C uv to the vetex u k+s (when k +s L) o u k+s L (when k + s > L), we see that each sequence S i (o S p) in G is entiely mapped to anothe sequence S j fo some j (o S 1) in G. Let us tace this stating fom sequence S p in C uv, whee we call S p a long sequence. By ψ = (1, s), sequence S p is mapped to some sequence S i1 in C u v. Then sequence S i1 in C uv is mapped to some sequence S i2 in C u v. In this way, we have a seies of sequences S i1, S i2,..., S ik such that S ij is mapped to S ij+1 until S ik = S 1 holds fo some k. We call S i1, S i2,..., S ik 1 long sequences. Note that S ik = S 1 is not in C uv and S 1 is a subsequence of S 1. Let us continue to tace how S 1 will be mapped by ψ = (1, s). The sequence S 1 will be mapped to some sequence S ik+1 in C u v. Similaly with long sequences S i 1, S i2,..., S ik 1, we have a seies of sequences S ik+1, S ik+2,..., S ip = S p such that S ij is mapped to S ij+1, whee we call S ik+1, S ik+2,..., S ip = S p shot sequences. Fist we pove popety (a). Let g = S 1 /h and d = S 1 hg, whee S 1 = hg+d and d < h. By (3) and σ (S ik ) = σ (S 1), the subsequence A = (σ (u 0 ; C u v ), σ (u 1 ; C u v ),..., σ (u h 1 ; C u v )) of the fist h elements of σ (S 1) is symmetic with the subsequence of the last h elements of σ (S 1). Note that σ (S 1 ) is obtained fom σ (S 1) by deleting the last h elements. Since σ (S 1 ) = σ (S p ) is equal to the sequence obtained fom σ (S 1) by deleting the fist h elements, which implies that σ (S 1) is g 1 epetitions of A, finishing with the sequence B = (σ (u 0 ; C u v ), σ (u 1 ; C u v ),..., σ (u d 1 ; C u v )) of the fist d element of σ (S 1) followed by the evese of sequence A (ecall that the subsequence A of the fist h elements of σ (S 1) is symmetic with the subsequence of the last h elements of σ (S 1)). Then each of A and B is symmetic to itself, and σ (S 1) is epesented by an altenating sequence B, A, B,..., A, B of them. This poves that σ (S) of a shot sequence S is symmetic and σ (S) of a long sequence S is symmetic. Next we pove popety (b). Since ψ is a otational mapping with a fixed shift s, the positions of vetices in U = {u l0, u l1,..., u lp } = {a 0, a 1,..., a p } ae symmetic; i.e., u li U if and only u L li U. We fist flip the positions of all vetices u i in P (u, v), i.e., conside the mapping fom u i to u L i. Let S p denote the long sequence obtained fom S p by flipping the positions of the vetices in S p. Then conside the evese ψ 1 of mapping ψ, and tace how the sequence S p will be mapped to othe sequences in the flipped positions. Let S i 1, S i 2,..., S i k 1 be the esulting seies of long sequences. We have anothe intepetation of the seies; S i 1, S i 2,..., S i k 1 is the evese of seies S i1, S i2,..., S ik 1 obtained in the above. Since the position of S i 1, S i 2,..., S i k 1 is flipped, the positions of S i1, S i2,..., S ik 1 fom a symmetic distibution ove the path P (u h, u L h ) in T. The est of shot sequences also admits symmetic positions, poving popety (b). (ii) ψ = ( 1, s): We fist pove that ψ(u h ) = u L h. As we have obseved, ψ(u h ) {u 0, u 1,..., u h }. Let ψ(u h ) = u k with h + 1 k L h 1. (See Figue S4.) Recall that σ (C u v ) is obtained by flipping σ (C uv ) at t 1 = lca(u, u ) = u h and then otating the flipped sequence by some amount 0 s < c = V (C uv ) in the clockwise ode. We see that s = k h, since the position of u h will not change by the flipping and will change to u k by the otation by s. Hence ψ maps the code σ (u k, C uv ) of u k (u h+s ) to that of a vetex in G by fist picking the position of its flipped vetex u L+1 s and by shifting it by s = k h; i.e., ψ(u k ) = u (L+1 s)+s, which is vetex u h in C u v. Thus ψ(ψ(u h)) = u h and σ (u h, C uv ) = σ (u h, C u v ). This, howeve, contadicts that the degee of u h in G is lage than that of u h in G. Hence ψ(u h ) = u L h. Analogously we have ψ(u L h ) = u h. This means that σ (C u v ) and σ (C uv ) ae symmetic with espect to the axis passing though the centoid c T. Theefoe T has two subtees T a and T b satisfying condition 2, and hence T + uv and T + u v admit a ooted-isomophism, which contadicts the assumption on (u, v) and (u, v ). Case 2. Exactly one of (u, u ) and (v, v ) is compaable in T : Assume that neithe of u and u is an ancesto of the othe and v is an ancesto of v (the othe case can be teated symmetically). Denote the sequence of vetices in path P (u, v ) in T by u 0 (= u), u 1,..., u h (= lca(u, u )),..., u L l (= v),..., u L (= v ), and that in P (u, lca(u, u )) by u 0 (= u ), u 1,..., u h (= u h ), whee h h = l 0. (See Figue S5.) In this case, we pove that σ (u h ; C uv ) = σ (u h ; C u v ), which indicates that the two childen a = u h 1 and a = u h 1 of lca(u, u ) satisfy the condition (1), a contadiction to the assumption on choice of (u, v) and (v, v ). 6

7 Figue S4: Case (ii) ψ = ( 1; s). Figue S5: (a) x < h in Case 2 (Exactly one of (u, u ) and (v, v ) is compaable in T ). 7

8 Figue S6: (b) x = h in Case 2 (Exactly one of (u, u ) and (v, v ) is compaable in T ). Note that ψ(u L l ) {u L l, u L l+1,..., u L } holds by the same eason obseved in Case 1. Since σ (z; C uv ) = σ (z; C u v ) fo all z {u h+1, u h+2,..., u L l 1 }, thee is an intege p 1 such that ψ p (u L l ) = u x {u 0, u 1,..., u h }. Similaly, thee ae integes q and y such that ψ q (u h ) = u y {u L l, u L l+1,..., u L }. By the assumption of σ (u h ; C uv ) σ (u h ; C u v ), we have ψ q (u h ) u h. We distinguish two subcases. (a) x < h : In this case, the subtee T ul l of T is ooted-isomophic to the subtee G u of x G = T + u v, and the subtee G uh of G = T + uv popely contains a subtee ooted-isomophic to G u T u x L l. (See Figue S5.) This means that ψ q (u h ) = u y {u L l, u L l+1,..., u L } cannot hold, since othewise G u y of G = T + u v would popely contain a subtee ooted-isomophic to T ul l. Hence case (a) cannot occu. (b) x = h : In this case, the degee of u h in G (also in G) is equal to that degee of u L l in G = T + uv, which is lage than that of u L l in G = T + u v. This means that σ (u h ; C uv ) = σ (u L l ; C u v ) and y L l. (See Figue S6.) Now G u h G u y and G ul l G u h. Since y L l, G ul l (and hence G u h ) popely contains a subtee T ooted-isomophic to G u y ( G uh ). Moeove such a subtee T cannot appea as a subtee of T t of any othe child t of u h than t = u h 1 in G u h (othewise T would contain a subtee ooted-isomophic to T t ). This means that two subtees T uh 1 and T ul l+1 of T ae ooted-isomophic. We futhe pove that fo each i = 1, 2,..., l, it holds σ (u h i ; C uv ) = σ (u L l+i ; C u v ), i.e., G u h i G u L l+i. (4) Assume that thee is an intege 1 k l such that σ (u h i ; C uv ) = σ (u L l+i ; C u v ) fo all i = 1, 2,..., k 1 and σ (u h k ; C uv ) σ (u L l+k ; C u v ). Since G u h i G u L l+i (1 i < k), we see fom G uh k G u L l+k that u h k has a child w such that the subtee T w in T is ooted-isomophic to the subtee T ul l+k+1 in T. (See Figue S7.) This means that σ (u h k ; C uv ) σ (z; C u v ) fo all z {u L l+k+1, u L l+k+2,..., u L }. Let us tace how u h k in G = T + uv will be mapped to vetices in G = T + u v by ψ. Also σ (u h k ; C uv ) σ (u L l ; C u v ) since the subtee G u h k of G = T + uv is a pope subtee of T ul l. As we have obseved, if ψ(u h k ) = t {u h+1, u h+2,... u L l 1 }, whee σ (t; C uv ) = σ (t; C u v ) fo all t {u h+1, u h+2,... u L l 1 }, then we continue to conside ψ(t) of t V (C uv ). Similaly, if ψ(u h k ) = u L l+i {u L l+1, u L l+2,... u L l+k 1 }, whee σ (u h i ; C uv ) = σ (u L l+i ; C u v ) 8

9 Figue S7: Case 2 (Exactly one of (u, u ) and (v, v ) is compaable in T ). (1 i < k), then we continue to conside ψ(u h i ) of u h i V (C uv ). Since ψ is a bijection, by epeating this we see that u h k will be mapped to a vetex z {u L l+k+1, u L l+k+2,..., u L }, which contadicts that σ (u h k ; C uv ) σ (z; C u v ) fo all z {u L l+k+1, u L l+k+2,..., u L }. This poves (4). Now let us tace how u h in G = T + uv will be mapped to vetices in G = T + u v. Note that σ (u h ; C uv ) σ (u L l ; C u v ), as aleady obseved. Also σ (u h ; C uv ) σ (u i ; C u v ) fo all i = 0, 1,..., h since G uh cannot be ooted-isomophic to its pope subtee (ecall that σ (u h ; C uv ) σ (u h ; C u v ) is aleady assumed in Case 2). As we have obseved, if ψ(u h) = t {u h+1, u h+2,... u L l 1 }, whee σ (t; C uv ) = σ (t; C u v ) fo all t {u h+1, u h+2,... u L l 1 }, then we continue to conside ψ(t) of t V (C uv ). Similaly, if ψ(u h ) = u L l+i {u L l+1, u L l+2,... u L }, whee σ (u h i ; C uv ) = σ (u L l+i ; C u v ) (1 i l) by (4), then we continue to conside ψ(u h i) of u h i V (C uv ). Since ψ is a bijection, this can be epeated infinitely many time, contadicting the finiteness of gaphs. This poves that (b) cannot occu eithe. Case 3. Each of (u, u ) and (v, v ) is incompaable in T : Denote the sequence of vetices in the path P (u, v) by u 0 (= u), u 1,..., u h (= lca(u, u )),..., u L l (= lca(v, v )),..., u L (= v), and those in P (u, v ) by u 0 (= u ), u 1,..., u h (= lca(u, u )),..., u L l (= lca(v, v )),..., u L (= v ), whee h + l = h + l. (See Figue S8.) We fist claim that σ (u h ; C uv ) σ (t ; C u v ) fo all t {u 0, u 1,..., u h } {u L l +1, u L l +2,..., u L }. (5) By assumption on (u, v) and (u, v ), we know that σ (u h ; C uv ) σ (u h ; C u v ), whee u h = u h = lca(u, u ) (othewise two childen a = u h 1 and a = u h 1 in T of lca(u, u ) would satisfy the condition (1)). Clealy σ (u h ; C uv ) σ (t; C u v ) fo all t {u 0, u 1,..., u h 1 }, since othewise the subtee G uh of G = T + uv would be a pope subtee of itself. Hence to pove (5) by deiving a contadiction, it suffices to assume that σ (u h ; C uv ) = σ (z; C u v ) fo some z {u L l +1, u L l +2,..., u L }. Hence the subtee G z of G = T + u v is ooted-isomophic to the subtee G uh of G = T +uv. Let us tace how u L l = lca(v, v ) is mapped to vetices in C u v. As we have obseved, if ψ(u L l) = t {u h+1, u h+2,... u L l 1 }, whee σ (t; C uv ) = σ (t; C u v ) fo all t {u h+1, u h+2,... u L l 1 }, then we continue to conside ψ(t) of t := ψ(t). Hence u L l will be mapped to a vetex t {u 0, u 1,..., u h } {u L l, u L l +1,..., u L }, whee σ (u L l ; C uv ) = σ (t ; C u v ) holds. Since G u L l popely contains a subtee ootedisomophic to G uh, the vetex t cannot be in {u 0, u 1,..., u h 1 }. Similaly if t {u L l +1, u L l +2, 9

10 Figue S8: Case 3 (Each of (u, u ) and (v, v ) is incompaable in T )...., u L }, then the subtee G t of G = T + u v would be a pope subtee of itself G ul l G t, a contadiction. Theefoe thee ae only two cases: (a) t = lca(v, v ) = u L l = u L l ; and (b) t = lca(u, u ) = u h = u h. (a) t = lca(v, v ) = u L l = u L l : Let us tace how vetex u L l (= lca(v, v ) = u L l ) in C u v will be mapped to vetices in C uv by ψ 1. By assumption on (u, v) and (u, v ), we know that σ (u L l ; C uv ) σ (u L l ; C u v ) (othewise two childen a = u L l+1 and a = u L l +1 in T of lca(v, v ) would satisfy the condition (1)). Also σ (t; C uv ) σ (u L l ; C u v ) fo all t {u L l+1, u L l+2,..., u L }, since othewise G u L l would be a pope subtee of itself. We see that σ (u h ; C uv ) σ (u L l ; C u v ) since G u L l popely contains a subtee ooted-isomophic to G uh. Hence thee is a vetex u x with 0 x h 1 such that σ (u x ; C uv ) = σ (u L l ; C u v ). Next conside how vetex u h (= lca(u, u ) = u h ) in C u v will be mapped to vetices in C uv by ψ 1. Again by assumption on (u, v) and (u, v ), we know that σ (u h ; C uv) σ (u h ; C u v ). Also σ (t; C uv ) σ (u h ; C u v ) fo all t {u 0, u 1,..., u h 1 }, since othewise G u would be a pope h subtee of itself. We see that σ (u h ; C uv ) σ (u h ; C u v ) since u x V (G u ) means that G h u h popely contains a subtee ooted-isomophic to G uh. Hence the emaining possibility is that σ (u L l ; C uv ) = σ (u h ; C u v ). Howeve, this is also impossible because G u popely contains a h subtee ooted-isomophic to G ul l G u L l. Theefoe case (a) cannot occu. (b) t = lca(u, u ) = u h = u h : Now G u L l G u h, which popely contains a subtee ootedisomophic to G z G uh by assumption. Let us tace how vetex u h (= lca(u, u ) = u h ) in C u v will be mapped to vetices in C uv by ψ 1. Now σ (u h ; C uv ) σ (u h ; C u v ). Also σ (u i ; C uv ) σ (u h ; C u v ) fo all i = 0, 1,..., h 1 since othewise G u L l would be a pope subtee of itself. By assumption on (u, v) and (u, v ), σ (u h ; C uv ) σ (u h ; C u v ). Hence the emaining possibility is that thee is a vetex u y {u L l+1, u L l+2,..., u L } such that σ (u y ; C uv ) = σ (u h ; C u v ). Now conside how vetex u L l (= lca(v, v ) = u L l ) in C u v will be mapped to vetices in C uv by ψ 1. Since ψ is a bijection, thee is a vetex w {u 0, u 1,..., u h } {u L l, u L l+1,..., u L } such that σ (w; C uv ) = σ (u L l ; C u v ). Note that the subtee G u has the vetex u y and L l popely contains a subtee ooted-isomophic to G u. Clealy σ (u i ; C uv ) σ (u h L l ; C u v ) fo all i = L l+1, L l+2,..., L since othewise G u would be a pope subtee of itself. Hence w L l {u 0, u 1,..., u h } {u L l }. By assumption on (u, v) and (u, v ), σ (u L l ; C uv ) σ (u L l ; C u v ). 10

11 Figue S9: Sequences A, A, B and B. Also σ (u i ; C uv ) σ (u L l ; C u v ) fo all i = 0, 1,..., h 1 since G u popely contains a L l subtee ooted-isomophic to G u h. Finally σ (u h ; C uv ) σ (u L l ; C u v ) since G u popely L l contains a subtee ooted-isomophic to G uh. Theefoe such a vetex w cannot exist and (b) does not occu eithe, poving (5). Symmetically we also obtain σ (t ; C u v ) σ (u L l ; C uv ) fo all t {u 0, u 1,..., u h } {u L l +1, u L l +2,..., u L }, and σ (u h ; C u v ) σ (t; C uv ) σ (u L l ; C u v ) fo all t {u 0, u 1,..., u h } {u L l+1, u L l+2,..., u L }. Then (5) implies σ (u h ; C uv ) = σ (u L l ; C u v ), by epeatedly taking t := ψ(t ) as long as t {u h+1, u h+2,... u L l 1 }, whee σ (t ; C uv ) = σ (t ; C u v ) fo all t {u h+1, u h+2,... u L l 1 }. Analogously we also have σ (u L l ; C uv ) = σ (u h ; C u v ). Hence we have the following popeties. σ (u h ; C uv ) = σ (u L l ; C u v ), σ (u L l ; C uv ) = σ (u h ; C u v ), σ (u h ; C uv ) σ (t ; C u v ) σ (u L l ; C uv ) fo all t {u 0, u 1,..., u h } {u L l +1, u L l +2,..., u L }, and σ (u h ; C u v ) σ (t; C uv ) σ (u L l ; C u v ) fo all t {u 0, u 1,..., u h } {u L l+1, u L l+2,..., u L }. (6) In (6), σ (u h ; C uv ) = σ (u L l ; C u v ) and σ (u L l ; C uv ) = σ (u h ; C u v ) mean that G u h G u L l and G ul l G u h. Note that G uh (esp., G u h ) is obtained fom T uh by emoving the subtee T uh 1 (esp., T u h 1 ), while G u L l (esp., G u L l ) is obtained fom T ul l by emoving the subtee T ul l+1 (esp., T u L l +1 ). (See Figue S9.) Since T u h 1 T u h 1 and T u L l+1 T u L l +1 by assumption, we see that T u h 1 T u L l+1 and T uh 1 T u L l +1. (7) We distinguish two subcases: (i) ψ = ( 1, s); and (ii) ψ = (1, s). (i) ψ = ( 1; s): In this case, we can pove that ψ(lca(u, u )) = lca(v, v ) and ψ(lca(v, v )) = lca(u, u ) in the same manne of Case 1. This means that σ (C u v ) and σ (C uv ) ae symmetic with espect to the axis passing though the centoid c T. Theefoe T has two subtees T a and T b satisfying condition (2), and hence T + uv and T + u v admit a ooted-isomophism, which contadicts the assumption on (u, v) and (u, v ). 11

12 (ii) ψ = (1, s): In this case, the cyclic sequence σ (C uv ) will match with σ (C u v ) afte taking lca(u, u ) as the common stat position and otating σ (C uv ) by s in the clockwise ode. By V (C uv ) = V (C u v ), we have h + l = h + l and L h l = L h l. By (6), vetex lca(u, u ) = u h = u h (esp., lca(v, v ) = u L l = u L l ) in C uv will neve be mapped to any vetex u i with i {0, 1,..., h } {L l +1, L l +2,..., L} afte epeating the otation by any numbe of times. This means that s L h l = L h l (esp., h + l = h + l < s). Let A be the subsequence of σ (C uv ) fom u L l+1 to u h 1 ; i.e., A = (σ (u L l+1 ; C uv ), σ (u L l+2 ; C uv ),..., σ (u L ; C uv ), σ (u 0 ; C uv ), σ (u 1 ; C uv ),..., σ (u h 1 ; C uv )), whee the length A of A is h + l 2 (< s). Let B be the subsequence of σ (C u v ) fom u h+1 to u 2h+l 1 ; i.e., B = (σ (u h+1 ; C u v ), σ (u h+2 ; C u v ),..., σ (u 2h+l 1 ; C u v )), whee A = B. (See Figue S9.) Since vetex u L l will match with u h by epeating the otation of σ (C uv ) by s some numbe of times, we see that A matches with B afte epeating the otation by some numbe of times. Let B be the subsequence of σ (C uv ) fom u h+1 to u 2h+l 1 ; i.e., B = (σ (u h+1 ; C uv ), σ (u h+2 ; C uv ),..., σ (u 2h+l 1 ; C uv )), whee B is equal to B since {u h+1, u h+2,..., u 2h+l 1 } V (C uv ) V (C u v ) {u h, u L l }. Let A be the subsequence of σ (C u v ) fom u L l +1 to u h 1 ; i.e., A = (σ (u L l +1; C u v ), σ (u L l +2; C u v ),..., σ (u L; C u v ), σ (u 0; C u v ), σ (u 1; C u v ),..., σ (u h 1; C u v )), Similaly A matches with B (= B). Theefoe we have A = A. Note that h h since othewise A = A would imply that a = u h 1 and a = u h 1 in T satisfy (1). Assume h < h (the othe case of h > h can be teated analogously). Since A = A, we know that σ (u h i ; C uv ) = σ (u h i ; C u v ) fo i = 1, 2,..., h (< h ). (8) Symmetically we also see that σ (u L l+i ; C uv ) = σ (u L l +i ; C u v ) fo i = 1, 2,..., l (< l). (9) Recall that T u T h u 1 L l+1 and T uh 1 T u by (7). Fom this, (8) and (9), we hee show L l +1 that σ (u h i ; C uv ) = σ (u h i ; C u v ) = σ (u L l+i ; C uv ) = σ (u L l +i ; C u v ) fo i = 1, 2,..., min{h, l }. (10) To pove this, we indiectly assume that thee is an index j ( min{h, l }) such that σ (u h j ; C uv ) σ (u L l +j ; C u v ) (i.e., G u h j G u ) and σ (u h i ; C uv ) = σ (u L l L l +i ; C u v ) fo all i = +j 1, 2,..., j 1, whee the latte indicates that T uh j T u L l +j and T u h j T u L l+j since (7) holds. (See Figue S10.) This and G uh j G u mean that T uh j 1 T u L l +j L l. +j+1 Let k be the numbe of subtees T t ooted at a child t of u L l +j such that T t T u L l, whee +j+1 k 1 (possibly t = u L l +j+1 ). Since T u h j T u L l but T u +j h j 1 T u, we see that L l +j+1 the numbe of subtees T x ooted at a child x ( u h j 1 ) of u h j such that T x T u L l is +j+1 also k. Since σ (u h j ; C uv ) = σ (u h j ; C u v ), we see that the numbe of subtees T y ooted at a child y ( u h j 1 ) of u h j such that T y T u L l +j+1 is also k. By T u h j T u L l+j, we see that 12

13 Figue S10: T + uv and T + u v satisfying equation (10). the numbe of subtees T z ooted at a child z ( u L l+j+1 ) of u L l+j such that T z T u L l +j+1 is also k (note that T ul l+j+1 T u L l ). Since σ (u +j+1 L l+j ; C uv ) = σ (u L l +j ; C u v ), this means that the numbe of subtees T w ooted at a child w ( u L l +j+1 ) of u L l +j such that T w T u is also k. This contadicts that the numbe of such subtees must be k 1, since L l +j+1 T u L l is counted in the oiginal k. This poves (10). This also implies that h = l, h = l and +j+1 T u T h u h 1 L h +h+1 (since h l means T uh j 1 T u fo j = min{h, l }, which leads L l +j+1 to a contadiction in the same manne). We next pove that subsequence C = (σ (u L h +h+1; C uv ), σ (u L h +h+2; C uv ),..., σ (u L ; C uv )) of A is symmetic (i.e., it matches with its evese sequence). Note that C is equal to subsequence C = (σ (u 0; C u v ), σ (u 1; C u v ),..., σ (u h h 1; C u v )) of A, since each of C and C coesponds to the same subsequence of A = A. (See Figue S11.) Note that C passes though tee T ul h +h+1 ( T u ) fom u h L h +h+1 to u h 1 L, while C (= C) passes though tee T u ( T h u h 1 L h +h+1 ) fom u 0 to u h h 1. If σ (u L h+h +1; C uv ) σ (u L ; C uv ) (= σ (u h h 1 ; C u v )) then T u L h+h +2 T u and u h h 2 h h 1 has some othe child t ( u h h 2 ) such that T t T ul h+h +2. In this case, the code σ (u L ; C uv ) (= σ (u h h 1 ; C u v )) of vetex u L means that thee is a child x of u L such that T x T ul h+h +2, which is a contadiction (since T x is now a pope subtee of T ul h+h +2 ). Hence σ (u L h+h +1; C uv ) = σ (u L ; C uv ). Moe geneally assume that thee is an index k ( h h 2 ) such that σ (u L h+h +1+k; C uv ) σ (u L k ; C uv ) and σ (u L h+h +1+i; C uv ) = σ (u L i ; C uv ) fo all i = 0, 1,..., k 1. By the second condition, we have T ul h+h +k T u. By the fist condition, T h u h k L h+h +k+1 T u holds h h k 1 and vetex u h h k has some othe child t ( u h h k 1 ) such that T t T ul h+h +k+1. In this case, the code σ (u L k ; C uv ) (= σ (u h h k ; C u v )) of vetex u L k means that thee is a child x of u L k such that T x T ul h+h +k+1, which is a contadiction (since T x is now a pope subtee of T ul h+h +k+1 ). Fo indices k (> h h 2 ), we can apply the same agument vetices fom u h h 1 to u 0 to get a contadiction. This poves that C (= C ) is symmetic. 13

14 Figue S11: Sequences C and C. By applying a simila agument in Case 1(i), we see that T has two subtees T a and T b satisfying condition (2), and hence T + uv and T + u v admit a ooted-isomophism, which contadicts the assumption on (u, v) and (u, v ). This completes a poof of this theoem. S1.3 Poof of Lemma 3 Poof: Fo a vetex u in the unique cycle C in a 1-augmented tee G, let G u denote the component containing u that appeas afte emoving the two edges in C incident to u. Hence G u is a subtee of G, and we egad it as a subtee ooted at u. Let σ (u; C) denote the signatue of G u ; σ (u; C) = σ (v; C) if and only if G u G v. When G is obtained fom a tee T by adding an edge uv, the unique cycle in G is denoted by C uv. In a ooted tee, a pai of vetices x and y is called compaable if one of them is an ancesto of the othe. Let dfs be the depth-fist seach numbe obtained by tavesing T stating fom, whee = c T o the left endpoint of c T =. Intuitively admissible edges ae defined so that each admissible pai (u, v) is lexicogaphically smalle than any pai (u, v ) such that T + uv T + u v. To pove the lemma, it suffices to show that (I) Fo any nonadmissible pai of nonadjacent vetices u, v V (T ), thee is an admissible pai (u, v ) such that T + u v T + uv; and (II) Fo two admissible pais (u, v) and (u, v ), if T + uv T + u v then u = u and v = v. (I) Let (u, v) be a nonadmissible pai of nonadjacent vetices with dfs(u) < dfs(v). Hence (u, v) does not satisfy one of conditions (1)-(3) in the definition of admissible pais. Let G = T + uv. To show (I), we assume that (u, v) is lexicogaphically minimum among all nonadmissible pais (x, y) such that T + xy G. (i) (u, v) does not satisfy condition (1), i.e., thee is a vetex w V (P (lca(u, v), )) {} such that copy(w) = 1 (possibly u = w when u = lca(u, v)): Then the subtee T w ooted at w is ooted-isomophic to the subtee T x ooted at the left sibling x = left(w) of w, implying that T x contains a pai (u, v ) such that T + u v is ooted-isomophic to T + uv. Then (u, v ) must be admissible, since othewise it would contadict the choice of (u, v). (ii) (u, v) does not satisfy condition (2), i.e., thee is a vetex w with copy(w) = 1 such that (a) w V (P (u, gua(u, v)) {lca(u, v), gua(v, u)}; o (b) w V (P (v, gua(v, u)) {lca(u, v), gua(v, u)}: Fist conside case (a), whee u lca(u, v) (since othewise u = lca(u, v), gua(u, v) = gua(v, u), 14

15 and V (P (u, gua(u, v)) {lca(u, v), gua(v, u)} = ). As in (i), T w is ooted-isomophic to T x ooted at the left sibling x = left(w) of w, and T x contains a vetex u such that T + u v T + uv. Then (u, v) must be admissible by the lexicogaphical minimality in the choice of (u, v). In (b) (possibly u = lca(u, v)), T w T x fo the left sibling x = left(w) of w, and T x contains a vetex v such that T + uv T + uv. Then (u, v ) must be admissible by the lexicogaphical minimality of (u, v). (iii) (u, v) with copy(gua(v, u)) = 1 does not satisfy condition (3); i.e., (a) u = lca(u, v), which violates condition (3-i) gua(u, v) = left(gua(v, u)); (b) u lca(u, v) and gua(u, v) left(gua(v, u)); o (c) u lca(u, v), gua(u, v) = left(gua(v, u)), and dfs(v) < dfs(û) fo the copy û of vetex u in T gua(v,u). In (a) and (b), vetex x = left(gua(v, u)) satisfies T x T gua(v,u) and T x contains a vetex v ( v) such that T + uv T + uv. Then (u, v ) must be admissible by the lexicogaphical minimality of (u, v). In (c), thee is a vetex ˆv V (T gua(u,v) ) such that T + ˆvû T + uv. Since dfs(ˆv) = dfs(v) V (T gua(u,v) ) and dfs(u) = dfs(û) V (T gua(u,v) ) hold, dfs(v) < dfs(û) implies dfs(ˆv) < dfs(u). Then (ˆv, û) must be admissible by the lexicogaphical minimality of (u, v). (II) Let (u, v) and (u, v ) be two admissible pais such that T +uv T +u v. Assume without loss of geneality that (u, v) is lexicogaphically smalle than (u, v ), i.e., dfs(u) dfs(u ), and if dfs(u) = dfs(u ) then dfs(v) dfs(v ). We show that u = u and v = v. We fist claim lca(u, v) = lca(u, v ). (11) Note that if lca(u, v) is not the unicentoid c T = then among the codes in σ (C uv ) the vetex lca(u, v) V (C uv ) has the unique code σ (lca(u, v); C uv ), since only subtee G lca(u,v) of 1-augmented tee G = T + uv contains at least n/2 + 1 vetices. Similaly, if lca(u, v ) is not the unicentoid c T = the vetex lca(u, v ) V (C u v ) has the unique code σ (lca(u, v ); C u v ). If lca(u, v) = = lca(u, v ) then we ae done. The emaining case is that lca(u, v) o lca(u, v ). In this case, we assume that lca(u, v) lca(u, v ) to deive a contadiction. Without loss geneality, we assume that lca(u, v). Then lca(u, v ) also holds, since othewise fo any vetex t in C u v (such as t = lca(u, v )), σ (C u v ) cannot contain a code σ (t; C u v ) that indicates that the subgaph G t of G = T + u v ooted at t has at least n/2 vetices. This and T + uv T + u v mean that σ (lca(u, v); C uv ) = σ (lca(u, v ); C u v ), i.e., the subtees G lca(u,v) and G lca(u,v ) ae ooted-isomophic. This implies that T gua(x,y) T gua(y,x) fo two vetices x = lca(u, v) and y = lca(u, v ) and copy(gua(x, y)) = 1 o copy(gua(y, x)) = 1, contadicting that both (u, v) and (u, v ) satisfy the condition (1) in the definition of admissible pais. This poves (11). Now gua(u, v), gua(v, u), gua(u, v ) and gua(v, u ) ae childen of lca(u, v) = lca(u, v ) in T. We next claim u lca(u, v) = lca(u, v ) u (12) Assume that u = lca(u, v) o u = lca(u, v ), say u = lca(u, v) (the case of u = lca(u, v ) can be handled symmetically). In this case, u = lca(u, v ) also holds by lca(u, v) = lca(u, v ), since othewise the degee of lca(u, v) in G = T + uv would be lage than that of it in G = T + u v, contadicting that σ (lca(u, v); C uv ) = σ (lca(u, v ); C u v ) holds by T + uv T + u v. Now u = lca(u, v) = lca(u, v ) = u. Assume v v (othewise we ae done with u = u and v = v ), whee dfs(v) < dfs(v ) is assumed without loss of geneality. Clealy v is not an ancesto of v. Then by σ (lca(u, v); C uv ) = σ (lca(u, v ); C u v ), we have T gua(v,u) T gua(v,u ) and hence copy(gua(v, u )) = 1. Howeve, in this case, (u, v ) with u = lca(u, v ) does not satisfy condition (3-i) in the definition of admissible pais, a contadiction. This poves (12). Thidly we claim gua(u, v) = gua(u, v ) and gua(v, u) = gua(v, u ). (13) 15

16 Figue S12: Thee cases (c-i), (c-ii) and (c-iii). Let a = gua(u, v), a = gua(u, v ), b = gua(v, u) and b = gua(v, u ). (a) a a and b = b (whee dfs(u) < dfs(u ) is assumed without loss of geneality): In the isomophism ψ fo G = T + uv G = T + u v, lca(u, v) in G coesponds to lca(u, v ) in G, and σ (lca(u, v); C uv ) = σ (lca(u, v ); C u v ) implies that T a T a and copy(a ) = copy(gua(u, v )) = 1. Hence (u, v ) does not satisfy the condition (2) in the definition of admissible pais, a contadiction. (b) a = a and b b (whee dfs(v) < dfs(v ) is assumed without loss of geneality): As in (a), we see that T b T b and copy(b ) = copy(gua(v, u )) = 1. Hence (u, v ) does not satisfy the condition (3-i) in the definition of admissible pais, a contadiction. (c) a a and b b (whee dfs(u) < dfs(u ) is assumed without loss of geneality): Thee ae thee cases: (c-i) dfs(u) < dfs(v) < dfs(u ) < dfs(v ); (c-ii) dfs(u) < dfs(u ) < dfs(v ) < dfs(v); and (c-iii) dfs(u) < dfs(u ) < dfs(v) < dfs(v ). (See Figue S12.) In (c-i), the subtees T 1 = T a, T 2 = T b, T 3 = T a and T 4 = T b appea in this ode fom left to ight in T, whee T i T j (i < j) implies T i T i T j fo any i < i < j since T is a left-heavy tee. Hence the isomophism ψ fo G = T + uv G = T + u v implies T a T a and T b T b. Hence we have T a T b T a T b in (c-i). With a simila agument fom (c-i), we have T a T a and T b T b in (c-ii); and T a T a and T b T b in (c-iii). In any of these thee cases, copy(gua(u, v )) = 1 and (u, v ) does not satisfy the condition (2) in the definition of admissible pais, a contadiction. This poves that a = a and b = b ; i.e., (13). In a ooted-isomophism ψ between G = T +uv and G = T +u v, vetex lca(u, v) = lca(u, v ) in G coesponds to itself in G, meaning that thee ae only two possible ooted-isomophisms ψ: (i) one peseves the diection of cycles, i.e., ψ(gua(u, v)) = gua(u, v); and (ii) the othe evese the diection, i.e., ψ(gua(u, v)) = gua(v, u). We fist conside the ooted-isomophism ψ in (i). When u is an ancesto of u, the degee deg(u; G) of u in G = T + uv is lage than the degee deg(u; G ) of u in G = T + u v, and it cannot hold that σ (u; C uv ) = σ (u; C u v ), a contadiction to ψ. When neithe of u and u is an ancesto of the othe (whee dfs(u) < dfs(u ) is assumed without loss of geneality), we have σ (lca(u, u ); C uv ) = σ (lca(u, u ); C u v ), implying that T gua(u,u ) T gua(u,u) and copy(gua(u, u)) = 1. (See Figue S13.) This contadicts that (u, v ) satisfies the condition (2) in the definition of admissible pais. Finally conside the case whee neithe of v and v is an ancesto 16

17 Figue S13: Neithe of u and u is an ancesto of the othe. of the othe (whee dfs(v) < dfs(v ) is assumed without loss of geneality). As in the above case, we have T gua(v,v ) T gua(v,v) and copy(gua(v, v)) = 1. This contadicts that (u, v ) satisfies the condition (2) in the definition of admissible pais. In what follows, we conside the ooted-isomophism ψ in (ii). Since we know that G = T + uv and G = T + u v ae ooted-isomophic, we have ψ(gua(u, v)) = gua(v, u) and ψ(gua(v, u)) = gua(u, v). We distinguish the thee cases: Case 1. Each of (u, u ) and (v, v ) is compaable in T ; Case 2. Exactly one of (u, u ) and (v, v ) is compaable in T ; and Case 3. Each of (u, u ) and (v, v ) is incompaable in T. Case 1. Each of (u, u ) and (v, v ) is compaable in T : By dfs(u) dfs(u ), u is an ancesto of u and v is an ancesto of v: In this case, the unique path P (u, v) of T connecting u and v contains vetices u, u, v and v in this ode. Denote the sequence of vetices in P (u, v) by u 0 (= u ), u 1,..., u h (= u),..., u g (= lca(u, v)),..., u L h (= v ),..., u L (= v), whee 1-augmented tee T + uv (esp., T = u v ) has a unique cycle C uv = (u h, u h+1,..., u L ) (esp., C u v = (u h, u h+1,..., u L h, u 0, u 1,..., u h 1 )) and it holds V (C uv ) = V (C u v ) = L h + 1. (a) g h = L h g (the depth of u in T is equal to that of v in T ): Since σ (u i ; C uv ) = σ (u L i ; C u v ) fo all i = h, h+1,..., g, we see that T gua(u,u ) T gua(v,v ) and copy(gua(v, u )) = 1. (See Figue S14.) This contadicts that (u, v ) satisfies the condition (3-ii) in the definition of admissible pais. (b) g h L h g: Conside the case of g h < L h g, i.e., the depth of u in T is smalle than that of v in T (the othe case can be teated analogously). (See Figue S15.) In this case, u h (esp., u 2g h ) in G = T + uv is mapped to u 2g h (esp., u h ) in G = T + u v by ψ, and we have σ (u h ; C uv ) = σ (u 2g h ; C u v ) and σ (u 2g h ; C uv ) = σ (u h ; C u v ). By noting that u 2g h V (C uv ), σ (u 2g h ; C uv ) = σ (u 2g h ; C u v ), indicating that σ (u h ; C uv ) = σ (u h ; C u v ). This, howeve, is impossible because the degee of u h in G is lage than that in G. Case 2. Exactly one of (u, u ) and (v, v ) is compaable in T : Assume that neithe of u and u is an ancesto of the othe and v is an ancesto of v (the othe case can be teated symmetically). Denote the sequence of vetices in path P (u, v ) in T by u 0 (= u), u 1,..., u h (= lca(u, u )),..., u g (= lca(u, v)),..., u L l (= v),..., u L (= v ), and that in P (u, lca(u, u )) by u 0 (= u ), u 1,..., u h (= u h). (a) v v (whee dfs(v) < dfs(v ) is assumed without loss of geneality) and g h > L l g (the depth of u h in T is lage than that of v in T ): (See Figue S16.) In this case, u L l (esp., u 2g L+l ) in G = T + uv is mapped to u 2g L+l (esp., u L l ) in G = T + u v by ψ, and we 17

18 Figue S14: (a) in Case 1. Figue S15: (b) in Case 1. 18

19 Figue S16: (a) in Case 2. have σ (u L l ; C uv ) = σ (u 2g L+l ; C u v ) and σ (u 2g L+l ; C uv ) = σ (u L l ; C u v ). By noting that u 2g L+l V (C uv ), σ (u 2g L+l ; C uv ) = σ (u 2g L+l ; C u v ), indicating that σ (u L l ; C uv ) = σ (u L l ; C u v ). This, howeve, is impossible because the degee of u L l in G is lage than that in G. (b) v v (whee dfs(v) < dfs(v ) is assumed without loss of geneality) and g h L l g (the depth of u h in T is not smalle than that of v in T ): (See Figue S17.) In this case, u h (esp., u 2g h ) in G = T + uv is mapped to u 2g h (esp., u h ) in G = T + u v by ψ, and we have σ (u h ; C uv ) = σ (u 2g h ; C u v ) and σ (u 2g h ; C uv ) = σ (u h ; C u v ). By noting that u 2g h V (C uv ), it holds σ (u 2g h ; C uv ) = σ (u 2g h ; C u v ), indicating that σ (u h ; C uv ) = σ (u h ; C u v ). This, howeve, means that T gua(u,u ) T gua(u,u) and copy(gua(u, u)) = 1, and that (u, v ) does not satisfy the condition (2) in the definition of admissible pais. (c) v = v : Let us tace how vetex u h in G will be mapped to vetices in G = T + u v by ψ. Since the code σ (u h ; C uv ) epesents the set T of subtees T t ooted at childen t ( u h 1 ) of u h, vetex u h cannot be mapped to any vetex in {u h 1, u h 2,..., u 0} (since these vetices ae contained in T u T ). Hence ψ(u h) {u h 1 h, u h+1,..., u L l (= v = v )}. Since σ (u i ; C uv ) = σ (u i ; C u v ) fo these vetices u i {u h+1,..., u L l (= v = v )}, thee is an intege j 1 such that ψ j (u h ) = u h. This, howeve, means that T gua(u,u ) T gua(u,u) and copy(gua(u, u)) = 1, and that (u, v ) does not satisfy the condition (2) in the definition of admissible pais. Case 3. Each of (u, u ) and (v, v ) is incompaable in T : Assume that u u and dfs(u) < dfs(u ) without loss of geneality. Denote the sequence of vetices in the path P (u, v) by u 0 (= u), u 1,..., u h (= lca(u, u )),..., u g (= lca(u, v)),..., u L l (= lca(v, v )),..., u L (= v), and those in P (u, v ) by u 0 (= u ), u 1,..., u h (= lca(u, u )),..., u g (= u g = lca(u, v)),..., u L l (= lca(v, v )),..., u L (= v ), whee h + l = h + l. (a) g h L l g: Conside the case of g h < L l g, i.e., the depth of lca(u, u ) in T is lage than that of lca(v, v ) in T (the othe case can be teated analogously). As in Case 2(b), u h (esp., u 2g h ) in G = T + uv is mapped to u 2g h (esp., u h ) in G = T + u v by ψ, and we have σ (u h ; C uv ) = σ (u 2g h ; C u v ) and σ (u 2g h ; C uv ) = σ (u h ; C u v ). By noting that u 2g h V (C uv ), σ (u 2g h ; C uv ) = σ (u 2g h ; C u v ), indicating that σ (u h ; C uv ) = σ (u h ; C u v ). This meas that T gua(u,u ) T gua(u,u) and copy(gua(u, u)) = 1, and that (u, v ) does not satisfy the condition (2) in the definition of admissible pais. (b) g h = L l g (the depth of lca(u, u ) in T is equal to that of lca(v, v ) in T ): Let 19

20 Figue S17: (b) in Case 2. T uh (esp., T ul l ) denote the set of subtees T t of T ooted at a child t of u h (esp., u L l ). Let a = gua(u, u ), a = gua(u, u), b = gua(v, v ) and b = gua(v, v), whee T a T a and T b T b (othewise (u, v) o (u, v ) would not satisfy the condition (2) in the definition of admissible pais). (See Figue S18.) Let A be the subsequence of σ (C uv ) fom b = u L l+1 to a = u h 1, i.e., A = (σ (u L l+1 ; C uv ), σ (u L l+2 ; C uv ),..., u L, u 0,..., σ (u h 1 ; C uv )), and let A be the subsequence of the evesal of σ (C u v ) fom a = u h 1 to b = u L l +1, i.e., A = (σ (u h 1 ; C u v ), σ (u h 2 ; C u v ),..., u 0, u L,..., σ (u L l +1 ; C u v )). Then A = A by the isomophism ψ. Since u h (esp., u 2g h ) in G = T +uv is mapped to u L l (esp., u h ) in G = T +u v by ψ, we have σ (u h ; C uv ) = σ (u L l ; C u v ) and σ (u L l ; C uv ) = σ (u h ; C u v ). This means that the set T uh {T a } of subtees is ooted-isomophic to T ul l {T b }, while T uh {T a } of subtees is ooted-isomophic to T ul l {T b }. Since T a T a and T b T b, this implies that T a T b, T b T a, and T gua(u,v) T gua(v,u). Hence by assumption of dfs(u) < dfs(u ), we have dfs(u) < dfs(u ) < dfs(v ) < dfs(v). Let ˆv V (T a ) be the symmetic copy of v V (T b ) and û V (T b ) be the symmetic copy of u V (T a ). Let  be the subsequence of the evesal of σ (Cˆvû ) fom a = u h 1 to b = u L l+1. Then T + uv T + ˆvû and  = A = A. Now we show that u = ˆv and v = û, which indicates that (u, v ) does not satisfy the condition (3-ii) in the definition of admissible pais. Assume u ˆv (the case of v û can be teated analogously). (See Figue S19.) Note that u, ˆv V (T a ). When one of u and ˆv is an ancesto of the othe in T a (say ˆv is an ancesto of u ), ˆv V (Cˆvû ) V (C u v ) holds but σ (ˆv; Cˆvû ) σ (ˆv; C u v ) (since the degee of ˆv in T + ˆvû is lage than that in T + u v ), contadicting  = A. Hence the emaining case is that neithe of u and ˆv is an ancesto of the othe. Let t 1 = gua(u, ˆv) and t 2 = gua(ˆv, u ), which ae childen of lca(u, ˆv). Then by T + u v T + ˆvû, we have σ (gua(u, ˆv); C u v ) = σ (gua(ˆv, u ); Cˆvû ) by  = A, which implies that T t1 T t2. If dfs(ˆv) < dfs(u ) then copy(gua(u, ˆv)) = 1 holds, indicating that (u, v ) does not satisfy the condition (2) in the definition of admissible pais. On the othe hand (dfs(u ) < dfs(ˆv)) copy(gua(ˆv, u )) = 1 holds. Then the symmetic copy of w V (T b ) of gua(ˆv, u ) also satisfies copy(w) = 1, indicating that (u, v ) does not satisfy the condition (2) in the definition of admissible pais. 20

A Bijective Approach to the Permutational Power of a Priority Queue

A Bijective Approach to the Permutational Power of a Priority Queue A Bijective Appoach to the Pemutational Powe of a Pioity Queue Ia M. Gessel Kuang-Yeh Wang Depatment of Mathematics Bandeis Univesity Waltham, MA 02254-9110 Abstact A pioity queue tansfoms an input pemutation

More information

Matrix Colorings of P 4 -sparse Graphs

Matrix Colorings of P 4 -sparse Graphs Diplomabeit Matix Coloings of P 4 -spase Gaphs Chistoph Hannnebaue Januay 23, 2010 Beteue: Pof. D. Winfied Hochstättle FenUnivesität in Hagen Fakultät fü Mathematik und Infomatik Contents Intoduction iii

More information

The Chromatic Villainy of Complete Multipartite Graphs

The Chromatic Villainy of Complete Multipartite Graphs Rocheste Institute of Technology RIT Schola Wos Theses Thesis/Dissetation Collections 8--08 The Chomatic Villainy of Complete Multipatite Gaphs Anna Raleigh an9@it.edu Follow this and additional wos at:

More information

Fractional Zero Forcing via Three-color Forcing Games

Fractional Zero Forcing via Three-color Forcing Games Factional Zeo Focing via Thee-colo Focing Games Leslie Hogben Kevin F. Palmowski David E. Robeson Michael Young May 13, 2015 Abstact An -fold analogue of the positive semidefinite zeo focing pocess that

More information

gr0 GRAPHS Hanan Samet

gr0 GRAPHS Hanan Samet g0 GRPHS Hanan Samet ompute Science epatment and ente fo utomation Reseach and Institute fo dvanced ompute Studies Univesity of Mayland ollege Pak, Mayland 074 e-mail: hjs@umiacs.umd.edu opyight 1997 Hanan

More information

Math 301: The Erdős-Stone-Simonovitz Theorem and Extremal Numbers for Bipartite Graphs

Math 301: The Erdős-Stone-Simonovitz Theorem and Extremal Numbers for Bipartite Graphs Math 30: The Edős-Stone-Simonovitz Theoem and Extemal Numbes fo Bipatite Gaphs May Radcliffe The Edős-Stone-Simonovitz Theoem Recall, in class we poved Tuán s Gaph Theoem, namely Theoem Tuán s Theoem Let

More information

Graphs of Sine and Cosine Functions

Graphs of Sine and Cosine Functions Gaphs of Sine and Cosine Functions In pevious sections, we defined the tigonometic o cicula functions in tems of the movement of a point aound the cicumfeence of a unit cicle, o the angle fomed by the

More information

ON THE INVERSE SIGNED TOTAL DOMINATION NUMBER IN GRAPHS. D.A. Mojdeh and B. Samadi

ON THE INVERSE SIGNED TOTAL DOMINATION NUMBER IN GRAPHS. D.A. Mojdeh and B. Samadi Opuscula Math. 37, no. 3 (017), 447 456 http://dx.doi.og/10.7494/opmath.017.37.3.447 Opuscula Mathematica ON THE INVERSE SIGNED TOTAL DOMINATION NUMBER IN GRAPHS D.A. Mojdeh and B. Samadi Communicated

More information

Method for Approximating Irrational Numbers

Method for Approximating Irrational Numbers Method fo Appoximating Iational Numbes Eic Reichwein Depatment of Physics Univesity of Califonia, Santa Cuz June 6, 0 Abstact I will put foth an algoithm fo poducing inceasingly accuate ational appoximations

More information

arxiv: v1 [math.co] 4 May 2017

arxiv: v1 [math.co] 4 May 2017 On The Numbe Of Unlabeled Bipatite Gaphs Abdullah Atmaca and A Yavuz Ouç axiv:7050800v [mathco] 4 May 207 Abstact This pape solves a poblem that was stated by M A Haison in 973 [] This poblem, that has

More information

The Substring Search Problem

The Substring Search Problem The Substing Seach Poblem One algoithm which is used in a vaiety of applications is the family of substing seach algoithms. These algoithms allow a use to detemine if, given two chaacte stings, one is

More information

Lecture 18: Graph Isomorphisms

Lecture 18: Graph Isomorphisms INFR11102: Computational Complexity 22/11/2018 Lectue: Heng Guo Lectue 18: Gaph Isomophisms 1 An Athu-Melin potocol fo GNI Last time we gave a simple inteactive potocol fo GNI with pivate coins. We will

More information

On the ratio of maximum and minimum degree in maximal intersecting families

On the ratio of maximum and minimum degree in maximal intersecting families On the atio of maximum and minimum degee in maximal intesecting families Zoltán Lóánt Nagy Lale Özkahya Balázs Patkós Máté Vize Mach 6, 013 Abstact To study how balanced o unbalanced a maximal intesecting

More information

Solution to HW 3, Ma 1a Fall 2016

Solution to HW 3, Ma 1a Fall 2016 Solution to HW 3, Ma a Fall 206 Section 2. Execise 2: Let C be a subset of the eal numbes consisting of those eal numbes x having the popety that evey digit in the decimal expansion of x is, 3, 5, o 7.

More information

Stanford University CS259Q: Quantum Computing Handout 8 Luca Trevisan October 18, 2012

Stanford University CS259Q: Quantum Computing Handout 8 Luca Trevisan October 18, 2012 Stanfod Univesity CS59Q: Quantum Computing Handout 8 Luca Tevisan Octobe 8, 0 Lectue 8 In which we use the quantum Fouie tansfom to solve the peiod-finding poblem. The Peiod Finding Poblem Let f : {0,...,

More information

CERFACS 42 av. Gaspard Coriolis, Toulouse, Cedex 1, France. Available at Date: April 2, 2008.

CERFACS 42 av. Gaspard Coriolis, Toulouse, Cedex 1, France. Available at   Date: April 2, 2008. ON THE BLOCK TRIANGULAR FORM OF SYMMETRIC MATRICES IAIN S. DUFF and BORA UÇAR Technical Repot: No: TR/PA/08/26 CERFACS 42 av. Gaspad Coiolis, 31057 Toulouse, Cedex 1, Fance. Available at http://www.cefacs.f/algo/epots/

More information

arxiv: v1 [math.co] 2 Feb 2018

arxiv: v1 [math.co] 2 Feb 2018 A VERSION OF THE LOEBL-KOMLÓS-SÓS CONJECTURE FOR SKEWED TREES TEREZA KLIMOŠOVÁ, DIANA PIGUET, AND VÁCLAV ROZHOŇ axiv:1802.00679v1 [math.co] 2 Feb 2018 Abstact. Loebl, Komlós, and Sós conjectued that any

More information

COLLAPSING WALLS THEOREM

COLLAPSING WALLS THEOREM COLLAPSING WALLS THEOREM IGOR PAK AND ROM PINCHASI Abstact. Let P R 3 be a pyamid with the base a convex polygon Q. We show that when othe faces ae collapsed (otated aound the edges onto the plane spanned

More information

ANA BERRIZBEITIA, LUIS A. MEDINA, ALEXANDER C. MOLL, VICTOR H. MOLL, AND LAINE NOBLE

ANA BERRIZBEITIA, LUIS A. MEDINA, ALEXANDER C. MOLL, VICTOR H. MOLL, AND LAINE NOBLE THE p-adic VALUATION OF STIRLING NUMBERS ANA BERRIZBEITIA, LUIS A. MEDINA, ALEXANDER C. MOLL, VICTOR H. MOLL, AND LAINE NOBLE Abstact. Let p > 2 be a pime. The p-adic valuation of Stiling numbes of the

More information

On the ratio of maximum and minimum degree in maximal intersecting families

On the ratio of maximum and minimum degree in maximal intersecting families On the atio of maximum and minimum degee in maximal intesecting families Zoltán Lóánt Nagy Lale Özkahya Balázs Patkós Máté Vize Septembe 5, 011 Abstact To study how balanced o unbalanced a maximal intesecting

More information

working pages for Paul Richards class notes; do not copy or circulate without permission from PGR 2004/11/3 10:50

working pages for Paul Richards class notes; do not copy or circulate without permission from PGR 2004/11/3 10:50 woking pages fo Paul Richads class notes; do not copy o ciculate without pemission fom PGR 2004/11/3 10:50 CHAPTER7 Solid angle, 3D integals, Gauss s Theoem, and a Delta Function We define the solid angle,

More information

3.1 Random variables

3.1 Random variables 3 Chapte III Random Vaiables 3 Random vaiables A sample space S may be difficult to descibe if the elements of S ae not numbes discuss how we can use a ule by which an element s of S may be associated

More information

A quadratic algorithm for road coloring

A quadratic algorithm for road coloring A quadatic algoithm fo oad coloing Maie-Piee Béal and Dominique Pein Octobe 6, 0 axiv:080.076v9 [cs.ds] 0 May 01 Abstact The Road Coloing Theoem states that evey apeiodic diected gaph with constant out-degee

More information

arxiv: v1 [math.co] 6 Mar 2008

arxiv: v1 [math.co] 6 Mar 2008 An uppe bound fo the numbe of pefect matchings in gaphs Shmuel Fiedland axiv:0803.0864v [math.co] 6 Ma 2008 Depatment of Mathematics, Statistics, and Compute Science, Univesity of Illinois at Chicago Chicago,

More information

9.1 The multiplicative group of a finite field. Theorem 9.1. The multiplicative group F of a finite field is cyclic.

9.1 The multiplicative group of a finite field. Theorem 9.1. The multiplicative group F of a finite field is cyclic. Chapte 9 Pimitive Roots 9.1 The multiplicative goup of a finite fld Theoem 9.1. The multiplicative goup F of a finite fld is cyclic. Remak: In paticula, if p is a pime then (Z/p) is cyclic. In fact, this

More information

QIP Course 10: Quantum Factorization Algorithm (Part 3)

QIP Course 10: Quantum Factorization Algorithm (Part 3) QIP Couse 10: Quantum Factoization Algoithm (Pat 3 Ryutaoh Matsumoto Nagoya Univesity, Japan Send you comments to yutaoh.matsumoto@nagoya-u.jp Septembe 2018 @ Tokyo Tech. Matsumoto (Nagoya U. QIP Couse

More information

Splay Trees Handout. Last time we discussed amortized analysis of data structures

Splay Trees Handout. Last time we discussed amortized analysis of data structures Spla Tees Handout Amotied Analsis Last time we discussed amotied analsis of data stuctues A wa of epessing that even though the wost-case pefomance of an opeation can be bad, the total pefomance of a sequence

More information

SUFFICIENT CONDITIONS FOR MAXIMALLY EDGE-CONNECTED AND SUPER-EDGE-CONNECTED GRAPHS DEPENDING ON THE CLIQUE NUMBER

SUFFICIENT CONDITIONS FOR MAXIMALLY EDGE-CONNECTED AND SUPER-EDGE-CONNECTED GRAPHS DEPENDING ON THE CLIQUE NUMBER Discussiones Mathematicae Gaph Theoy 39 (019) 567 573 doi:10.7151/dmgt.096 SUFFICIENT CONDITIONS FOR MAXIMALLY EDGE-CONNECTED AND SUPER-EDGE-CONNECTED GRAPHS DEPENDING ON THE CLIQUE NUMBER Lutz Volkmann

More information

THE JEU DE TAQUIN ON THE SHIFTED RIM HOOK TABLEAUX. Jaejin Lee

THE JEU DE TAQUIN ON THE SHIFTED RIM HOOK TABLEAUX. Jaejin Lee Koean J. Math. 23 (2015), No. 3, pp. 427 438 http://dx.doi.og/10.11568/kjm.2015.23.3.427 THE JEU DE TAQUIN ON THE SHIFTED RIM HOOK TABLEAUX Jaejin Lee Abstact. The Schensted algoithm fist descibed by Robinson

More information

gr0 GRAPHS Hanan Samet

gr0 GRAPHS Hanan Samet g0 GRPHS Hanan Samet ompute Science epatment and ente fo utomation Reseach and Institute fo dvanced ompute Studies Univesity of Mayland ollege Pak, Mayland 0 e-mail: hjs@umiacs.umd.edu opyight 199 Hanan

More information

New problems in universal algebraic geometry illustrated by boolean equations

New problems in universal algebraic geometry illustrated by boolean equations New poblems in univesal algebaic geomety illustated by boolean equations axiv:1611.00152v2 [math.ra] 25 Nov 2016 Atem N. Shevlyakov Novembe 28, 2016 Abstact We discuss new poblems in univesal algebaic

More information

Compactly Supported Radial Basis Functions

Compactly Supported Radial Basis Functions Chapte 4 Compactly Suppoted Radial Basis Functions As we saw ealie, compactly suppoted functions Φ that ae tuly stictly conditionally positive definite of ode m > do not exist The compact suppot automatically

More information

Modified Linear Programming and Class 0 Bounds for Graph Pebbling

Modified Linear Programming and Class 0 Bounds for Graph Pebbling Modified Linea Pogamming and Class 0 Bounds fo Gaph Pebbling Daniel W. Canston Luke Postle Chenxiao Xue Cal Yege August 8, 05 Abstact Given a configuation of pebbles on the vetices of a connected gaph

More information

The Congestion of n-cube Layout on a Rectangular Grid S.L. Bezrukov J.D. Chavez y L.H. Harper z M. Rottger U.-P. Schroeder Abstract We consider the pr

The Congestion of n-cube Layout on a Rectangular Grid S.L. Bezrukov J.D. Chavez y L.H. Harper z M. Rottger U.-P. Schroeder Abstract We consider the pr The Congestion of n-cube Layout on a Rectangula Gid S.L. Bezukov J.D. Chavez y L.H. Hape z M. Rottge U.-P. Schoede Abstact We conside the poblem of embedding the n-dimensional cube into a ectangula gid

More information

24. Balkanska matematiqka olimpijada

24. Balkanska matematiqka olimpijada 4. Balkanska matematika olimpijada Rodos, Gka 8. apil 007 1. U konveksnom etvoouglu ABCD vaжi AB = BC = CD, dijagonale AC i BD su azliite duжine i seku se u taki E. Dokazati da je AE = DE ako i samo ako

More information

Reduced Implicant Tries

Reduced Implicant Tries Reduced Implicant Ties Technical Repot SUNYA-CS-07-01 Novembe, 2007 Neil V. Muay Depatment of Compute Science Univesity at Albany Albany, NY 12222 email: nvm@cs.albany.edu Eik Rosenthal Depatment of Mathematics

More information

Convergence Dynamics of Resource-Homogeneous Congestion Games: Technical Report

Convergence Dynamics of Resource-Homogeneous Congestion Games: Technical Report 1 Convegence Dynamics of Resouce-Homogeneous Congestion Games: Technical Repot Richad Southwell and Jianwei Huang Abstact Many esouce shaing scenaios can be modeled using congestion games A nice popety

More information

A Metric on the Space of Reduced Phylogenetic Networks

A Metric on the Space of Reduced Phylogenetic Networks 1 A Metic on the Space of Reduced Phylogenetic Netwoks Luay Nakhleh Abstact Phylogenetic netwoks ae leaf-labeled, ooted, acyclic, diected gaphs, that ae used to model eticulate evolutionay histoies. Seveal

More information

On the Structure of Linear Programs with Overlapping Cardinality Constraints

On the Structure of Linear Programs with Overlapping Cardinality Constraints On the Stuctue of Linea Pogams with Ovelapping Cadinality Constaints Tobias Fische and Mac E. Pfetsch Depatment of Mathematics, TU Damstadt, Gemany tfische,pfetsch}@mathematik.tu-damstadt.de Januay 25,

More information

On decompositions of complete multipartite graphs into the union of two even cycles

On decompositions of complete multipartite graphs into the union of two even cycles On decompositions of complete multipatite gaphs into the union of two even cycles A. Su, J. Buchanan, R. C. Bunge, S. I. El-Zanati, E. Pelttai, G. Rasmuson, E. Spaks, S. Tagais Depatment of Mathematics

More information

Quasi-Randomness and the Distribution of Copies of a Fixed Graph

Quasi-Randomness and the Distribution of Copies of a Fixed Graph Quasi-Randomness and the Distibution of Copies of a Fixed Gaph Asaf Shapia Abstact We show that if a gaph G has the popety that all subsets of vetices of size n/4 contain the coect numbe of tiangles one

More information

Construction Schemes for Fault-Tolerant Hamiltonian Graphs

Construction Schemes for Fault-Tolerant Hamiltonian Graphs Constuction Schemes fo Fault-Toleant Hamiltonian Gaphs Jeng-Jung Wang Depatment of Compute and Infomation Science, National Chiao Tung Univesity, Hsinchu, Taiwan 30050, Republic of China Chun-Nan Hung

More information

SPECTRAL SEQUENCES. im(er

SPECTRAL SEQUENCES. im(er SPECTRAL SEQUENCES MATTHEW GREENBERG. Intoduction Definition. Let a. An a-th stage spectal (cohomological) sequence consists of the following data: bigaded objects E = p,q Z Ep,q, a diffeentials d : E

More information

Upward order-preserving 8-grid-drawings of binary trees

Upward order-preserving 8-grid-drawings of binary trees CCCG 207, Ottawa, Ontaio, July 26 28, 207 Upwad ode-peseving 8-gid-dawings of binay tees Theese Biedl Abstact This pape concens upwad ode-peseving staightline dawings of binay tees with the additional

More information

Deterministic vs Non-deterministic Graph Property Testing

Deterministic vs Non-deterministic Graph Property Testing Deteministic vs Non-deteministic Gaph Popety Testing Lio Gishboline Asaf Shapia Abstact A gaph popety P is said to be testable if one can check whethe a gaph is close o fa fom satisfying P using few andom

More information

Analysis of simple branching trees with TI-92

Analysis of simple branching trees with TI-92 Analysis of simple banching tees with TI-9 Dušan Pagon, Univesity of Maibo, Slovenia Abstact. In the complex plane we stat at the cente of the coodinate system with a vetical segment of the length one

More information

On the integration of the equations of hydrodynamics

On the integration of the equations of hydrodynamics Uebe die Integation de hydodynamischen Gleichungen J f eine u angew Math 56 (859) -0 On the integation of the equations of hydodynamics (By A Clebsch at Calsuhe) Tanslated by D H Delphenich In a pevious

More information

An intersection theorem for four sets

An intersection theorem for four sets An intesection theoem fo fou sets Dhuv Mubayi Novembe 22, 2006 Abstact Fix integes n, 4 and let F denote a family of -sets of an n-element set Suppose that fo evey fou distinct A, B, C, D F with A B C

More information

ON INDEPENDENT SETS IN PURELY ATOMIC PROBABILITY SPACES WITH GEOMETRIC DISTRIBUTION. 1. Introduction. 1 r r. r k for every set E A, E \ {0},

ON INDEPENDENT SETS IN PURELY ATOMIC PROBABILITY SPACES WITH GEOMETRIC DISTRIBUTION. 1. Introduction. 1 r r. r k for every set E A, E \ {0}, ON INDEPENDENT SETS IN PURELY ATOMIC PROBABILITY SPACES WITH GEOMETRIC DISTRIBUTION E. J. IONASCU and A. A. STANCU Abstact. We ae inteested in constucting concete independent events in puely atomic pobability

More information

Goodness-of-fit for composite hypotheses.

Goodness-of-fit for composite hypotheses. Section 11 Goodness-of-fit fo composite hypotheses. Example. Let us conside a Matlab example. Let us geneate 50 obsevations fom N(1, 2): X=nomnd(1,2,50,1); Then, unning a chi-squaed goodness-of-fit test

More information

Fall 2014 Randomized Algorithms Oct 8, Lecture 3

Fall 2014 Randomized Algorithms Oct 8, Lecture 3 Fall 204 Randomized Algoithms Oct 8, 204 Lectue 3 Pof. Fiedich Eisenband Scibes: Floian Tamè In this lectue we will be concened with linea pogamming, in paticula Clakson s Las Vegas algoithm []. The main

More information

Syntactical content of nite approximations of partial algebras 1 Wiktor Bartol Inst. Matematyki, Uniw. Warszawski, Warszawa (Poland)

Syntactical content of nite approximations of partial algebras 1 Wiktor Bartol Inst. Matematyki, Uniw. Warszawski, Warszawa (Poland) Syntactical content of nite appoximations of patial algebas 1 Wikto Batol Inst. Matematyki, Uniw. Waszawski, 02-097 Waszawa (Poland) batol@mimuw.edu.pl Xavie Caicedo Dep. Matematicas, Univ. de los Andes,

More information

Pushdown Automata (PDAs)

Pushdown Automata (PDAs) CHAPTER 2 Context-Fee Languages Contents Context-Fee Gammas definitions, examples, designing, ambiguity, Chomsky nomal fom Pushdown Automata definitions, examples, euivalence with context-fee gammas Non-Context-Fee

More information

The Tutte polynomial of a graph, depth-rst. search, and simplicial complex partitions

The Tutte polynomial of a graph, depth-rst. search, and simplicial complex partitions The Tutte polynomial of a gaph, depth-st seach, and simplicial complex patitions Dedicated to Dominique Foata on the occasion of his 60th bithday Ia M. Gessel Depatment of Mathematics Bandeis Univesity

More information

ONE-POINT CODES USING PLACES OF HIGHER DEGREE

ONE-POINT CODES USING PLACES OF HIGHER DEGREE ONE-POINT CODES USING PLACES OF HIGHER DEGREE GRETCHEN L. MATTHEWS AND TODD W. MICHEL DEPARTMENT OF MATHEMATICAL SCIENCES CLEMSON UNIVERSITY CLEMSON, SC 29634-0975 U.S.A. E-MAIL: GMATTHE@CLEMSON.EDU, TMICHEL@CLEMSON.EDU

More information

Lecture 8 - Gauss s Law

Lecture 8 - Gauss s Law Lectue 8 - Gauss s Law A Puzzle... Example Calculate the potential enegy, pe ion, fo an infinite 1D ionic cystal with sepaation a; that is, a ow of equally spaced chages of magnitude e and altenating sign.

More information

arxiv: v1 [math.nt] 12 May 2017

arxiv: v1 [math.nt] 12 May 2017 SEQUENCES OF CONSECUTIVE HAPPY NUMBERS IN NEGATIVE BASES HELEN G. GRUNDMAN AND PAMELA E. HARRIS axiv:1705.04648v1 [math.nt] 12 May 2017 ABSTRACT. Fo b 2 and e 2, let S e,b : Z Z 0 be the function taking

More information

11.2 Proving Figures are Similar Using Transformations

11.2 Proving Figures are Similar Using Transformations Name lass ate 11. Poving igues ae Simila Using Tansfomations ssential Question: How can similait tansfomations be used to show two figues ae simila? esouce ocke ploe onfiming Similait similait tansfomation

More information

Σk=1. g r 3/2 z. 2 3-z. g 3 ( 3/2 ) g r 2. = 1 r = 0. () z = ( a ) + Σ. c n () a = ( a) 3-z -a. 3-z. z - + Σ. z 3, 5, 7, z ! = !

Σk=1. g r 3/2 z. 2 3-z. g 3 ( 3/2 ) g r 2. = 1 r = 0. () z = ( a ) + Σ. c n () a = ( a) 3-z -a. 3-z. z - + Σ. z 3, 5, 7, z ! = ! 09 Maclauin Seies of Completed Riemann Zeta 9. Maclauin Seies of Lemma 9.. ( Maclauin seies of gamma function ) When is the gamma function, n is the polygamma function and B n,kf, f, ae Bell polynomials,

More information

The Archimedean Circles of Schoch and Woo

The Archimedean Circles of Schoch and Woo Foum Geometicoum Volume 4 (2004) 27 34. FRUM GEM ISSN 1534-1178 The Achimedean Cicles of Schoch and Woo Hioshi kumua and Masayuki Watanabe Abstact. We genealize the Achimedean cicles in an abelos (shoemake

More information

3D-Central Force Problems I

3D-Central Force Problems I 5.73 Lectue #1 1-1 Roadmap 1. define adial momentum 3D-Cental Foce Poblems I Read: C-TDL, pages 643-660 fo next lectue. All -Body, 3-D poblems can be educed to * a -D angula pat that is exactly and univesally

More information

Lecture 16 Root Systems and Root Lattices

Lecture 16 Root Systems and Root Lattices 1.745 Intoduction to Lie Algebas Novembe 1, 010 Lectue 16 Root Systems and Root Lattices Pof. Victo Kac Scibe: Michael Cossley Recall that a oot system is a pai (V, ), whee V is a finite dimensional Euclidean

More information

15.081J/6.251J Introduction to Mathematical Programming. Lecture 6: The Simplex Method II

15.081J/6.251J Introduction to Mathematical Programming. Lecture 6: The Simplex Method II 15081J/6251J Intoduction to Mathematical Pogamming ectue 6: The Simplex Method II 1 Outline Revised Simplex method Slide 1 The full tableau implementation Anticycling 2 Revised Simplex Initial data: A,

More information

As is natural, our Aerospace Structures will be described in a Euclidean three-dimensional space R 3.

As is natural, our Aerospace Structures will be described in a Euclidean three-dimensional space R 3. Appendix A Vecto Algeba As is natual, ou Aeospace Stuctues will be descibed in a Euclidean thee-dimensional space R 3. A.1 Vectos A vecto is used to epesent quantities that have both magnitude and diection.

More information

Unobserved Correlation in Ascending Auctions: Example And Extensions

Unobserved Correlation in Ascending Auctions: Example And Extensions Unobseved Coelation in Ascending Auctions: Example And Extensions Daniel Quint Univesity of Wisconsin Novembe 2009 Intoduction In pivate-value ascending auctions, the winning bidde s willingness to pay

More information

Encapsulation theory: radial encapsulation. Edmund Kirwan *

Encapsulation theory: radial encapsulation. Edmund Kirwan * Encapsulation theoy: adial encapsulation. Edmund Kiwan * www.edmundkiwan.com Abstact This pape intoduces the concept of adial encapsulation, wheeby dependencies ae constained to act fom subsets towads

More information

A Short Combinatorial Proof of Derangement Identity arxiv: v1 [math.co] 13 Nov Introduction

A Short Combinatorial Proof of Derangement Identity arxiv: v1 [math.co] 13 Nov Introduction A Shot Combinatoial Poof of Deangement Identity axiv:1711.04537v1 [math.co] 13 Nov 2017 Ivica Matinjak Faculty of Science, Univesity of Zageb Bijenička cesta 32, HR-10000 Zageb, Coatia and Dajana Stanić

More information

Top K Nearest Keyword Search on Large Graphs

Top K Nearest Keyword Search on Large Graphs Top K Neaest Keywod Seach on Lage Gaphs Miao Qiao, Lu Qin, Hong Cheng, Jeffey Xu Yu, Wentao Tian The Chinese Univesity of Hong Kong, Hong Kong, China {mqiao,lqin,hcheng,yu,wttian}@se.cuhk.edu.hk ABSTRACT

More information

Green s Identities and Green s Functions

Green s Identities and Green s Functions LECTURE 7 Geen s Identities and Geen s Functions Let us ecall The ivegence Theoem in n-dimensions Theoem 7 Let F : R n R n be a vecto field ove R n that is of class C on some closed, connected, simply

More information

arxiv: v1 [math.ds] 20 Aug 2013

arxiv: v1 [math.ds] 20 Aug 2013 ON DIGIT FREQUENCIES IN β-expansions PHILIP BOYLAND, ANDRÉ DE CARVALHO, AND TOBY HALL axiv:138.4437v1 [math.ds] 2 Aug 213 Abstact. We study the closues DF(β) of the sets of digit fequencies of β-expansions

More information

Section 8.2 Polar Coordinates

Section 8.2 Polar Coordinates Section 8. Pola Coodinates 467 Section 8. Pola Coodinates The coodinate system we ae most familia with is called the Catesian coodinate system, a ectangula plane divided into fou quadants by the hoizontal

More information

Multiple Criteria Secretary Problem: A New Approach

Multiple Criteria Secretary Problem: A New Approach J. Stat. Appl. Po. 3, o., 9-38 (04 9 Jounal of Statistics Applications & Pobability An Intenational Jounal http://dx.doi.og/0.785/jsap/0303 Multiple Citeia Secetay Poblem: A ew Appoach Alaka Padhye, and

More information

16 Modeling a Language by a Markov Process

16 Modeling a Language by a Markov Process K. Pommeening, Language Statistics 80 16 Modeling a Language by a Makov Pocess Fo deiving theoetical esults a common model of language is the intepetation of texts as esults of Makov pocesses. This model

More information

Lab 10: Newton s Second Law in Rotation

Lab 10: Newton s Second Law in Rotation Lab 10: Newton s Second Law in Rotation We can descibe the motion of objects that otate (i.e. spin on an axis, like a popelle o a doo) using the same definitions, adapted fo otational motion, that we have

More information

(n 1)n(n + 1)(n + 2) + 1 = (n 1)(n + 2)n(n + 1) + 1 = ( (n 2 + n 1) 1 )( (n 2 + n 1) + 1 ) + 1 = (n 2 + n 1) 2.

(n 1)n(n + 1)(n + 2) + 1 = (n 1)(n + 2)n(n + 1) + 1 = ( (n 2 + n 1) 1 )( (n 2 + n 1) + 1 ) + 1 = (n 2 + n 1) 2. Paabola Volume 5, Issue (017) Solutions 151 1540 Q151 Take any fou consecutive whole numbes, multiply them togethe and add 1. Make a conjectue and pove it! The esulting numbe can, fo instance, be expessed

More information

Forest-Like Abstract Voronoi Diagrams in Linear Time

Forest-Like Abstract Voronoi Diagrams in Linear Time Foest-Like Abstact Voonoi Diagams in Linea Time Cecilia Bohle, Rolf Klein, and Chih-Hung Liu Abstact Voonoi diagams ae a well-studied data stuctue of poximity infomation, and although most cases equie

More information

Web-based Supplementary Materials for. Controlling False Discoveries in Multidimensional Directional Decisions, with

Web-based Supplementary Materials for. Controlling False Discoveries in Multidimensional Directional Decisions, with Web-based Supplementay Mateials fo Contolling False Discoveies in Multidimensional Diectional Decisions, with Applications to Gene Expession Data on Odeed Categoies Wenge Guo Biostatistics Banch, National

More information

Markscheme May 2017 Calculus Higher level Paper 3

Markscheme May 2017 Calculus Higher level Paper 3 M7/5/MATHL/HP3/ENG/TZ0/SE/M Makscheme May 07 Calculus Highe level Pape 3 pages M7/5/MATHL/HP3/ENG/TZ0/SE/M This makscheme is the popety of the Intenational Baccalaueate and must not be epoduced o distibuted

More information

Conspiracy and Information Flow in the Take-Grant Protection Model

Conspiracy and Information Flow in the Take-Grant Protection Model Conspiacy and Infomation Flow in the Take-Gant Potection Model Matt Bishop Depatment of Compute Science Univesity of Califonia at Davis Davis, CA 95616-8562 ABSTRACT The Take Gant Potection Model is a

More information

Relating Branching Program Size and. Formula Size over the Full Binary Basis. FB Informatik, LS II, Univ. Dortmund, Dortmund, Germany

Relating Branching Program Size and. Formula Size over the Full Binary Basis. FB Informatik, LS II, Univ. Dortmund, Dortmund, Germany Relating Banching Pogam Size and omula Size ove the ull Binay Basis Matin Saueho y Ingo Wegene y Ralph Wechne z y B Infomatik, LS II, Univ. Dotmund, 44 Dotmund, Gemany z ankfut, Gemany sauehof/wegene@ls.cs.uni-dotmund.de

More information

Physics 2A Chapter 10 - Moment of Inertia Fall 2018

Physics 2A Chapter 10 - Moment of Inertia Fall 2018 Physics Chapte 0 - oment of netia Fall 08 The moment of inetia of a otating object is a measue of its otational inetia in the same way that the mass of an object is a measue of its inetia fo linea motion.

More information

To Feel a Force Chapter 7 Static equilibrium - torque and friction

To Feel a Force Chapter 7 Static equilibrium - torque and friction To eel a oce Chapte 7 Chapte 7: Static fiction, toque and static equilibium A. Review of foce vectos Between the eath and a small mass, gavitational foces of equal magnitude and opposite diection act on

More information

Analytical time-optimal trajectories for an omni-directional vehicle

Analytical time-optimal trajectories for an omni-directional vehicle Analytical time-optimal tajectoies fo an omni-diectional vehicle Weifu Wang and Devin J. Balkcom Abstact We pesent the fist analytical solution method fo finding a time-optimal tajectoy between any given

More information

Centripetal Force OBJECTIVE INTRODUCTION APPARATUS THEORY

Centripetal Force OBJECTIVE INTRODUCTION APPARATUS THEORY Centipetal Foce OBJECTIVE To veify that a mass moving in cicula motion expeiences a foce diected towad the cente of its cicula path. To detemine how the mass, velocity, and adius affect a paticle's centipetal

More information

On the Quasi-inverse of a Non-square Matrix: An Infinite Solution

On the Quasi-inverse of a Non-square Matrix: An Infinite Solution Applied Mathematical Sciences, Vol 11, 2017, no 27, 1337-1351 HIKARI Ltd, wwwm-hikaicom https://doiog/1012988/ams20177273 On the Quasi-invese of a Non-squae Matix: An Infinite Solution Ruben D Codeo J

More information

Journal of Inequalities in Pure and Applied Mathematics

Journal of Inequalities in Pure and Applied Mathematics Jounal of Inequalities in Pue and Applied Mathematics COEFFICIENT INEQUALITY FOR A FUNCTION WHOSE DERIVATIVE HAS A POSITIVE REAL PART S. ABRAMOVICH, M. KLARIČIĆ BAKULA AND S. BANIĆ Depatment of Mathematics

More information

MSE 561, Atomic Modeling in Material Science Assignment 1

MSE 561, Atomic Modeling in Material Science Assignment 1 Depatment of Mateial Science and Engineeing, Univesity of Pennsylvania MSE 561, Atomic Modeling in Mateial Science Assignment 1 Yang Lu 1. Analytical Solution The close-packed two-dimensional stuctue is

More information

Physics 121 Hour Exam #5 Solution

Physics 121 Hour Exam #5 Solution Physics 2 Hou xam # Solution This exam consists of a five poblems on five pages. Point values ae given with each poblem. They add up to 99 points; you will get fee point to make a total of. In any given

More information

Physics 2B Chapter 22 Notes - Magnetic Field Spring 2018

Physics 2B Chapter 22 Notes - Magnetic Field Spring 2018 Physics B Chapte Notes - Magnetic Field Sping 018 Magnetic Field fom a Long Staight Cuent-Caying Wie In Chapte 11 we looked at Isaac Newton s Law of Gavitation, which established that a gavitational field

More information

1 Similarity Analysis

1 Similarity Analysis ME43A/538A/538B Axisymmetic Tubulent Jet 9 Novembe 28 Similaity Analysis. Intoduction Conside the sketch of an axisymmetic, tubulent jet in Figue. Assume that measuements of the downsteam aveage axial

More information

3.6 Applied Optimization

3.6 Applied Optimization .6 Applied Optimization Section.6 Notes Page In this section we will be looking at wod poblems whee it asks us to maimize o minimize something. Fo all the poblems in this section you will be taking the

More information

Divisibility. c = bf = (ae)f = a(ef) EXAMPLE: Since 7 56 and , the Theorem above tells us that

Divisibility. c = bf = (ae)f = a(ef) EXAMPLE: Since 7 56 and , the Theorem above tells us that Divisibility DEFINITION: If a and b ae integes with a 0, we say that a divides b if thee is an intege c such that b = ac. If a divides b, we also say that a is a diviso o facto of b. NOTATION: d n means

More information

COMPUTATIONS OF ELECTROMAGNETIC FIELDS RADIATED FROM COMPLEX LIGHTNING CHANNELS

COMPUTATIONS OF ELECTROMAGNETIC FIELDS RADIATED FROM COMPLEX LIGHTNING CHANNELS Pogess In Electomagnetics Reseach, PIER 73, 93 105, 2007 COMPUTATIONS OF ELECTROMAGNETIC FIELDS RADIATED FROM COMPLEX LIGHTNING CHANNELS T.-X. Song, Y.-H. Liu, and J.-M. Xiong School of Mechanical Engineeing

More information

7.2. Coulomb s Law. The Electric Force

7.2. Coulomb s Law. The Electric Force Coulomb s aw Recall that chaged objects attact some objects and epel othes at a distance, without making any contact with those objects Electic foce,, o the foce acting between two chaged objects, is somewhat

More information

Probablistically Checkable Proofs

Probablistically Checkable Proofs Lectue 12 Pobablistically Checkable Poofs May 13, 2004 Lectue: Paul Beame Notes: Chis Re 12.1 Pobablisitically Checkable Poofs Oveview We know that IP = PSPACE. This means thee is an inteactive potocol

More information

Temporal-Difference Learning

Temporal-Difference Learning .997 Decision-Making in Lage-Scale Systems Mach 17 MIT, Sping 004 Handout #17 Lectue Note 13 1 Tempoal-Diffeence Leaning We now conside the poblem of computing an appopiate paamete, so that, given an appoximation

More information

CALCULUS II Vectors. Paul Dawkins

CALCULUS II Vectors. Paul Dawkins CALCULUS II Vectos Paul Dawkins Table of Contents Peface... ii Vectos... 3 Intoduction... 3 Vectos The Basics... 4 Vecto Aithmetic... 8 Dot Poduct... 13 Coss Poduct... 21 2007 Paul Dawkins i http://tutoial.math.lama.edu/tems.aspx

More information

The geometric construction of Ewald sphere and Bragg condition:

The geometric construction of Ewald sphere and Bragg condition: The geometic constuction of Ewald sphee and Bagg condition: The constuction of Ewald sphee must be done such that the Bagg condition is satisfied. This can be done as follows: i) Daw a wave vecto k in

More information

Suborbital graphs for the group Γ 2

Suborbital graphs for the group Γ 2 Hacettepe Jounal of Mathematics and Statistics Volume 44 5 2015, 1033 1044 Subobital gaphs fo the goup Γ 2 Bahadı Özgü Güle, Muat Beşenk, Yavuz Kesicioğlu, Ali Hikmet Değe Keywods: Abstact In this pape,

More information

Lecture 28: Convergence of Random Variables and Related Theorems

Lecture 28: Convergence of Random Variables and Related Theorems EE50: Pobability Foundations fo Electical Enginees July-Novembe 205 Lectue 28: Convegence of Random Vaiables and Related Theoems Lectue:. Kishna Jagannathan Scibe: Gopal, Sudhasan, Ajay, Swamy, Kolla An

More information