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Maximal integral point sets over Z^2

Kurz, Sascha,Antonov, Andrey Radoslavov

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MAXIMAL INTEGRAL POINT SETS OVER Z2 ANDREY RADOSLAVOV ANTONOV AND SASCHA KURZ ABSTRACT. Geome ical objec s wi h in eg al side leng hs ha e ascina ed ma hema icians h ough he ages. We call a se P={p1,...,pn}⊂Z2a maximal in eg al poin se o e Z2i all pai wise dis ances a e in eg al and e e y addi ional poin pn+1des oys his p ope y. He e we conside such se s o a gi en ca dinali y and wi h minimum possible diame e . We de e mine some exac alues ia exhaus i e sea ch and gi e se e al cons uc ions o a bi a y ca dinali ies. Since we canno gua an ee he maximali y in hese cases we desc ibe an algo i hm o p o e o disp o e he maximali y o a gi en in eg al poin se . We addi ionally conside es ic ions as no h ee poin s on a line and no ou poin s on a ci cle. 1. INTRODUCTION Geome ical objec s wi h in eg al side leng hs ha e ascina ed ma hema icians h ough he ages. A e y ea ly example is he Py hago ean iangle wi h side leng hs 3,4, and 5. A uni e sal amewo k o mos o hese objec s a e in eg al poin se s. By an in eg al poin se we unde s and a se o npoin s in an mdimensional Euclidean ec o space Em, whe e he pai wise dis ances be ween he poin s a e in eg al. Those in eg al poin se s we e s udied by many au ho s, see [9] o an o e iew. F om a combina o ial poin o iew o a gi en ca dinali y nand a gi en dimension m he ques ion on he minimum possible diame e d(n, m), his is he la ges dis ance be ween any wo poin s, a ises, see [16, 19, 20] o an o e iew. To ob ain some in e es ing disc e e s uc u es one could also equi e some addi ional p ope ies. One possibili y is o eques , ha besides he dis ances also he coo dina es mus be in eg al. Ano he classical possibili y is o o bid subse s o h ee poin s on a line o ou poin s on a ci cle. The ques ion o P. E d˝ os whe he he e exis s a se o se en poin s in he plane wi h no h ee poin s on a line, no ou poin s on a ci cle, and pai wise in eg al dis ances, has ecen ly been answe ed posi i ely, see [14]. I all h ee men ioned addi ional p ope ies a e equi ed simul aneously one speaks o nm-clus e s, see [22]. In his a icle we eques ha besides he dis ances also he coo dina es o he poin se s a e in eg al and es ic ou sel es o dimension 2. Addi ionally we conside he cases whe e no h ee poin s a e on a line o no ou poin s a e on a ci cle. In ini e geome y one is some imes in e es ed in poin con igu a ions which a e maximal wi h espec o some p ope y. This means ha i is no possible o add a poin wi hou des oying he eques ed p ope y. He e we conside in eg al poin se s which a e maximal, meaning ha he e does no exis an addi ional poin xwi h in eg al dis ances o he o he poin s o he poin se . 1.1. Rela ed wo k. The e ha e been ex ensi e s udies on in eg al poin se s in Euclidean spaces. Some au ho s also conside o he spaces, e. g. Banach spaces [6], in eg al poin se s o e ings [13], o in eg al poin se s o e ini e ields [2, 11, 15]. In [3] he au ho s conside in eg al poin se s o e Z2and conjec u e some examples o be maximal. As an answe o hei open p oblems in [12] he au ho s desc ibe an algo i hm o p o e he maximali y o a gi en in eg al poin se and p o e he conjec u es o [3]. 2000 Ma hema ics Subjec Classi ica ion. 52C10;52C45,05D99,11D99,52-04. Key wo ds and ph ases. in eg al dis ances, diame e , exhaus i e sea ch, maximali y. 1 2 ANDREY RADOSLAVOV ANTONOV AND SASCHA KURZ 1.2. Ou con ibu ion. In his pape we desc ibe algo i hms o e icien ly es in eg al poin se s o maximali y and o de e mine possible ex ension poin s. To deal wi h he isomo phism p oblem we de- sc ibe an algo i hm which ans o ms a gi en plane in eg al poin se in o a no mal o m in On2 ime, whe e nis he ca dinali y o he poin se . We gi e se e al cons uc ions o in eg al poin se s o e Z2 which ha e a gi en ca dinali y and ul ill addi ional condi ions such as ha he e a e “no h ee poin s on a line” o “no ou poin s on a ci cle”. Al hough we canno p o e he maximali y o he poin se s ob ained wi h he p oposed cons uc ions in gene al, we conjec u e his p ope y o many o ou cons uc ions. By exhaus i e sea ch we ha e de e mined some exac minimum diame e s o in eg al poin se s o e Z2 wi h gi en ca dinali y and wi h o wi hou addi ional condi ions. We gi e cons uc i e uppe bounds in mos cases and conjec u e hem o be he exac alues. 1.3. Ou line o he pape . In Sec ion 3 we s a e he basic de ini ions and in Sec ion 2 we desc ibe he basic algo i hms o deal wi h maximal in eg al poin se s o e Z2. These include an algo i hm o exhaus- i ely gene a e He onian iangles up o isomo phism, an algo i hm o de e mine all possible embeddings o an He onian iangle on he in ege g id Z2, and an algo i hm ha de e mines all poin s o Z2which ha e in eg al dis ances o h ee gi en poin s in Z2wi h pai wise in eg al dis ances. The las men ioned algo i hm enables us o algo i hmically p o e o disp o e he maximali y o a gi en in eg al poin se . Since we in end o conside in eg al poin se s up o isomo phism we in oduce no mal o ms o in eg al poin se s and algo i hms o ob ain hem in Sec ion 4. We deal wi h he key ques ion o maximal in eg al poin se s o e Z2wi h gi en ca dinali y and minimum diame e in Sec ion 5. Se e al cons uc ions o maximal in eg al poin se s, whe e he maximali y is no gua an eed bu e y likely, a e desc ibed in Sec- ion 6. In Sec ion 7 we deal wi h addi ional p ope ies as “no h ee poin s on a line” and “no ou poin s on a ci cle”. We inish wi h a sho conclusion and an ou look in Sec ion 8. 2. BASICS De ini ion 2.1. An in eg al poin se o e Z2is a non-collinea se Po npoin s in he in ege g id Z2, whe e he poin s ha e pai wise in eg al dis ances. Fo b e i y we only speak o in eg al poin se s and assume ha he coo dina es o he poin s a e in eg al numbe s, oo. De ini ion 2.2. We call an in eg al poin se Po e Z2maximal i o e e y x∈Z2 P he poin se P∪{x}is no an in eg al poin se . The exis ence o maximal in eg al poin se s in he plane is gua an eed by a amous heo em o N.H.. Anning and P. E d˝ os, espec i ely i s p oo . Theo em 2.3. An in ini e se Po poin s in he Euclidean space Emwi h pai wise in eg al dis ances is si ua ed on a line. [1, 4] PROOF. We only p o e he s a emen o dimension m=2, as he gene aliza ion is ob ious. I A,B, and Ca e h ee poin s no on a line, we se k=max AC, BCand conside poin s Psuch ha |PA −PC| and |PB −PC|a e in eg al. Due o he iangle inequali ies he a ained alues a e in {0,1,...,k}. Thus he poin Plies on he in e sec ion o wo dis inc hype bolas, whe e we ha e a mos k+1choices o each hype bola. Thus he e a e a mos 4(k+1)2possible loca ions o he poin P. This p oo can clea ly be con e ed in o a cons uc i e algo i hm. Gi en h ee poin s A= (xA, yA), B= (xB, yB), and C= (xC, yC)in P⊂Z2, which a e no on a line, he p oblem o de e ming poin s P= (xP, yP)a in eg al dis ance o A,B, and Cis educed o he p oblem o sol ing he equa ion sys em p(xA−xP)2+ (yA−yP)2−p(xC−xP)2+ (yC−yP)2=d1 p(xB−xP)2+ (yB−yP)2−p(xC−xP)2+ (yC−yP)2=d2 ,(1) MAXIMAL INTEGRAL POINT SETS OVER Z23 whe e d1∈−AC, . . . , AC⊂Zand d2∈−BC, . . . , BC⊂Z. I he e exis s no in eg al solu ion in Z2 P, hen he poin se Pis maximal. This algo i hm was al eady used in [12] o p o e he maximali y o he in eg al poin se s o Figu e 1. }(0, −4) } (−3, 0)} (0, 0)} (3, 0) }(0, 4)   SSSSS S S S S S S S       } (0, 12) } (9, 0)} (16, 0) } (9, 24)} (16, 24) } (25, 12)   SSSSSSSS S S S S S S S S S S            ZZZZZZZZZZZ Z Z Z Z Z Z Z Z Z Z Z Z Z             FIGURE 1. Examples o maximal in eg al poin se s. Since his algo i hm is essen ial o ou a icle we will go in o he de ails how o sol e equa ion sys em 1. To ge id o some o he squa e oo s we add p(xC−xP)2+ (yC−yP)2on bo h sides and squa e he exp essions a e wa ds:  (xA−xP)2+ (yA−yP)2=d2 1+2d1p(xC−xP)2+ (yC−yP)2+ (xC−xP)2+ (yC−yP)2 (xB−xP)2+ (yB−yP)2=d2 2+2d2p(xC−xP)2+ (yC−yP)2+ (xC−xP)2+ (yC−yP)2 . Rea anging yields  (x2 A+y2 A−x2 C−y2 C−d2 1) + 2(xC−xA)xP+2(yC−yA)yP=2d1p(xC−xP)2+ (yC−yP)2 (x2 B+y2 B−x2 C−y2 C−d2 2) + 2(xC−xB)xP+2(yC−yB)yP=2d2p(xC−xP)2+ (yC−yP)2 . (2) I d1=0 hen he i s equa ion co esponds o a linea equa ion c1xP+c2yP+c3=0, (3) whe e no bo h c1and c2a e equal o ze o, since A6=C. I we squa e he second equa ion o (2) we can subs i u e one a iable using equa ion (3) and ob ain a quad a ic equa ion in one a iable, which can be easily sol ed. The case, whe e d2=0is simila . He e we use he second equa ion o (2) o ob ain equa ion (3) (we ha e c16=0o c26=0due o B6=C), and subs i u e i in o he squa ed e sion o he i s equa ion o ob ain he quad a ic equa ion in one a iable. In he emaining case we ha e d1, d26=0. He e we sub ac d1 imes he second equa ion o (2) om d2 imes he i s equa ion o (2) o ob ain equa ion (3) (we ha e c16=0o c26=0since he poin s A,B, and Ca e no loca ed on a line). Now we can squa e one o he wo equa ions o (2) and subsi u e one a iables using equa ion (3). Again we end up wi h a quad a ic equa ion in one a iable. A he end we ha e o check i he ob ained alues (xP, yP) a e solu ions o he o iginal equa ion sys em (1). De ini ion 2.4. Fo an in eg al poin se Pi s diame e diam(P)is gi en by he la ges dis ance be ween a pai o i s poin s. We ema k ha he le in eg al poin se o Figu e 1 has diame e 8and he igh in eg al poin se o Figu e 1 has diame e 25. 4 ANDREY RADOSLAVOV ANTONOV AND SASCHA KURZ 3. EXHAUSTIVE GENERATION OF MAXIMAL INTEGRAL POINT SETS To ob ain in e es ing examples o maximal in eg al poin se s we u ilize compu e s o exhaus i ely gen- e a e maximal in eg al poin se s. In he ollowing we will desc ibe he algo i hm used. Fo a gi en diame e dwe loop o e all non-isomo phic He onian iangles (ha ing in eg al side leng hs and in eg al a ea) ∆= (a, b, c)wi h diame e d=max{a, b, c}. U ilizing he He on o mula A=p(a+b+c)(a+b−c)(a−b+c)(−a+b+c) 4(4) o he a ea o a iangle we can gene a e his lis e.g. by he ollowing sho algo i hm: Algo i hm 3.1. (Gene a ion o He onian iangles) inpu : diame e d ou pu : comple e lis o He onian iangles wi h diame e dup o isomo phism begin a=d o b=a+2 2,...,ado o c=a+1−b,...,bdo i √(a+b+c)(a+b−c)(a−b+c)(−a+b+c) 4∈Z hen ou pu (a, b, c) end Fo a mo e sophis ica ed and e icien algo i hm we e e o [18]. The nex s ep is o embed a gi en He onian iangle ∆= (a, b, c)in he plane in ege g id Z2. He e we can u ilize wo conjec u es, which a e heo ems o dimension m=2, see e.g. [5]. Conjec u e 3.2. Le P⊂Qmbe a ini e se o poin s such ha he dis ances be ween any wo poin s o Pa e in ege s. In his case one can ind an Euclidean mo ion Tsuch ha T(P)⊂Pm. Conjec u e 3.3. Le P⊂Zmbe a ini e se o poin s such ha he dis ances be ween any wo poin s o Pa e in ege s and di isible by an in ege k. In his case one can ind a se P0⊂Zmsuch ha P0·k( he se P0scaled by a ac o k) is cong uen o P. Since Conjec u e 3.2 is a well known heo em o dimension m=2, see e.g. [5], o e e y He onian iangle ∆(a, b, c) he e exis s an embedding in he plane in ege g id Z2. We ema k ha he e may be se e al embeddings o he same iangle ∆= (a, b, c), which lead o di e en esul s. I we conside he numbe o poin s (xP, yP)∈Z2 E which a e a in eg al dis ance o an embedded iangle E= {(xA, yA),(xB, yB),(xC, yC)}, we can dis inguish h ee di e en embeddings o he He onian iangle ∆1= (25, 20, 15). The embedding E1={(0, 0),(0, 25),(12, 16)}o ∆1yields 12 poin s (xP, yP)a in eg al dis ance o he co ne s o ∆1gi en by E1. Fo he embedding E2={(0, 0),(15, 20),(0, 20)} we ob ain 16 such poin s, and o he embedding E3={(0, 0),(7, 24),(16, 12)}we ob ain only 5such poin s. De e mining he possible embeddings o a gi en He onian iangle ∆= (a, b, c)is a a he easy ask. W.l.o.g. we assume a=max{a, b, c}and xB=0=yB. Since he poin (xC, yC)is a dis ance a o he poin (xB, yB), we ha e o sol e he Diophan ine equa ion x2 C+y2 C=a2 in in ege s. This is a well known p oblem. One migh e en s o e o each small numbe (e.g. a⩽10 000) a∈Na lis o he co esponding solu ions (xC, yC). Now he coo dina es o he emaining poin Aa e gi en as solu ions o he equa ion sys em  (xB−xA)2+ (yB−yA)2=c2 (xC−xA)2+ (yC−yA)2=b2 ,(5) which can be easily sol ed. As an algo i hm o he embedding o an He onian iangle in Z2we ob ain: MAXIMAL INTEGRAL POINT SETS OVER Z25 Algo i hm 3.4. (Embedding o an He onian T iangle) inpu : He onian T iangle ∆= (a, b, c) ou pu : comple e lis o di e en embeddings o ∆in Z2 begin xB=0,yB=0 loop o e he in ege solu ions (xC, yC)o x2 C+y2 C=a2do loop o e he in ege solu ions (xA, yA)o equa ion sys em (5) do ou pu {(xA, yA),(xB, yB),(xC, yC)} end The nex s ep is o de e mine he poin s (xP, yP)∈Z2which a e a in eg al dis ance o a gi en embedded iangle {(xA, yA),(xB, yB),(xC, yC)}: Algo i hm 3.5. (Enla gemen o an embedded iangle) inpu : Embedded iangle E={(xA, yA),(xB, yB),(xC, yC)}⊂Z2 ou pu : comple e lis o poin s (xP, yP)∈Z2 E which a e a in eg al dis ance o E begin loop o e he in ege solu ions (xP, yP)o equa ion sys em (1) do i (xP, yP)/∈E hen ou pu (xP, yP) end We ema k ha he p e ious algo i hms ha e o be implemen ed using an a i hme ic which is able o do in ege calcula ions wi h unlimi ed p ecision, since he occu ing numbe s can inc ease e y quickly. We ha e u ilized he so wa e package CLN [8] o his pu pose. Now we u ilize he se o poin s gi en by Algo i hm 3.5 o build up a g aph G(E). The e ices a e gi en by he possible poin s (xP, yP). Two poin s (xP1, yP1)and (xP2, yP2)a e connec ed by an edge i and only i p(xP1−xP2)2+ (yP1−yP2)2is a posi i e in ege . A comple e subg aph o G(E)is called a clique. A clique C1is called maximal i i is no p ope ly con ained in ano he clique C2o G(E). Clea ly he cliques o G(E)a e in bijec ion o in eg al poin se s P⊂Z2con aining Eas a subse . The same s a emen holds o maximal cliques o G(E)and maximal in eg al poin se s P⊂Z2con aining E as a subse . Thus we can use a clique-sea ch package as CLIQUER [21] o exhaus i ely gene a e maximal in eg al poin se s Mo e Z2. Le us conside an example. I we apply ou algo i hm on he embedded iangle E2={(0, 0),(15, 20),(0, 20)} wi h diame e 25, we ob ain a se {(0, 28),(0, 40),(0, 56),(0, 132),(0, −92),(0, −16),(0, 12),(−15, 20), (15, 0),(−21, 20),(105, −36),(21, 20),(−48, 20),(48, 20),(−99, 20)} o 16 possible poin s o enla ge he in eg al poin se E2. The clique-sea ch p og am CLIQUER de e mines i e maximal cliques which co espond o he ollowing i e maximal in eg al poin se s: M1={(0, 0),(15, 20),(0, 20),(15, 0)}, M2={(0, 0),(15, 20),(0, 20),(0, −92),(105, −36)}, M3={(0, 0),(15, 20),(0, 20),(0, 40),(0, 56),(0, −16),(−15, 20),(−48, 20),(48, 20)}, M4={(0, 0),(15, 20),(0, 20),(0, 40),(−15, 20),(−21, 20),(21, 20),(−48, 20),(48, 20), (−99, 20),(99, 20)},and M5={(0, 0),(15, 20),(0, 20),(0, 28),(0, 40),(0, 56),(0, 132),(0, −92),(0, −16),(0, 12), (−15, 20)}. 6 ANDREY RADOSLAVOV ANTONOV AND SASCHA KURZ I is in e es ing o ha e a look a he ca dinali ies and diame e s o hese maximal in eg al poin se s. We ha e |M1|=4, diam(M1) = 25,|M2|=5, diam(M2) = 119,|M3|=9, diam(M3) = 96, |M4|=11, diam(M1) = 198,|M5|=11, and diam(M5) = 224. Al hough we s a wi h a poin se E2o small diame e , he esul ing maximal in eg al poin se s Mimay ha e a la ge diame e . We a e no awa e o a o mula o bound diam(M)wi h espec o diam(E). A second somewha disappoin ing ac o ou algo i hm is, ha each subse E0o h ee non-collinea poin s o an maximal in eg al poin se Mp oduces M. Thus ou algo i hm p oduces many iden ical copies o maximal in eg al poin se s wi h la ge ca dinali y. We will deal wi h his ac and he isomo phism p oblem in he nex sec ion. The algo i hms desc ibed in his sec ion ocus on he maximali y o he in eg al poin se s. They should no be used o exhaus i ely gene a e all maximal in eg al poin se s up o a gi en diame e . To pe o m his ask he algo i hms o exhaus i ely gene a e in eg al poin se s wi h o wi hou addi ional p ope ies a e be e sui ed, see [16, 20], and igno e he maximali y condi ion in he i s un. All in eg al poin se s wi h equi ed ca dinali ies and small diame e s can hen be es ed i hey a e maximal. 4. NORMAL FORMS AND AUTOMORPHISMS FOR INTEGRAL POINT SETS OVER Z2 In his sec ion we aim o conside isomo phisms which p ese e ce ain p ope ies o maximal in eg al poin se s. Since a main p ope y o an in eg al poin se is he se o dis ances be ween i s poin s we only conside dis ance-p ese ing isomo phisms, so called isome ies. In he Euclidean plane he isome- ies a e gi en by composi ions o ansla ions Tu, :x y7→ x y+u , o a ions Rθ:x y7→ cos θ−sin θ sin θcos θ·x y, and e lec ions a one o he wo axes. Each isome y can be w i en as I ,O :x7→ +O·x, whe e ∈R2is a ansla ion ec o and O∈R2×2an o hogonal ma ix. Nex we es ic ou sel es o mappings which map in eg al coo dina es on o in eg al coo dina es. Thus we ha e ∈Z2and O∈Z2×2. Each such isome y I ,O maps in eg al poin se s on o in eg al poin se s. I is easy o igu e ou ha he e a e only 8o hogonal ma ices in Z2×2. So we de ine Au := I ,O : ∈Z2, O ∈±1 0 0±1,±1 0 0∓1,0±1 ±1 0 ,0±1 ∓1 0  as he au omo phism g oup o plane in eg al poin se s. We call wo in eg al poin se s Pand P0isomo phic, i he e exis s a mapping I ,O ∈Au such ha I ,O(P) = P0. So ou aim is o de elop an algo i hm which can check whe he wo gi en in eg al poin se s a e isomo phic. Fo his pu pose we wan o use he echnique o no mal o ms o disc e e objec s. This means ha we ha e a unc ion τwhich ul ills he ollowing: I Ois he o bi o an in eg al poin se Punde he g oup Au hen τ(P) = τ(P0) o each P0∈O. Addi ionally o wo in eg al poin se s o di e en o bi s he unc ion τshould ha e di e en images. Ha ing such a unc ion τa hand we can easily decide whe he wo in eg al poin se s Pand P0a e isomo phic, by checking whe he τ(P) = τ(P0) o no . In o de o desc ibe such a unc ion τwe need o de ine a o al o de ing on Z2: (1) i |a|<|c|, hen we se a b≺c d, (2) i a > 0, hen we se −a b≺a d, (3) i |b|<|d|, hen we se a b≺a d, and (4) i b>0, hen we se a −b≺a b MAXIMAL INTEGRAL POINT SETS OVER Z27 o all a, b, c, d ∈Z. We se a b=c di and only i we ha e a=cand b=d. By x1x2we mean x1≺x2o x1=x2. One o he p ope ies o his o al o de ing is, ha we ha e 0 0x o all x∈Z2, so 0 0xis he smalles elemen in Z2. Using ≺we can bijec i ely iden i y an in eg al poin se Pwi h a lis L(P)o i s poin s, which is so ed in ascending o de wi h espec o . Now we ex end ou o al o de ing on o such lis s by u ilizing he lexicog aphic o de ing. This allows us o de ine ou no maliza ion unc ion by τ(P) = min {L(σ(P)) : σ∈Au }. To ob ain a ini e algo i hm o he de e mina ion o τ(P)we use he ac , ha o e e y poin se P6=∅ he minimum lis - ep esen a ion L(σ(P)) s a s wi h 0 0: Algo i hm 4.1. (No maliza ion o an in eg al poin se ) inpu : in eg al poin se P={p1,...,pn} ou pu : minimum lis ep esen a ion τ(P) begin champion =L(P) M1=1 0 0 1,M1=1 0 0−1,M3=−1 0 0 1,M1=−1 0 0−1 M5=0 1 1 0,M6=0 1 −1 0,M7=0−1 1 0 ,M8=0−1 −1 0  o i=1,...,ndo o j=1,...,8do mp =L(Mj·{p1−pi,...,pn−pi}) i mp ≺champion hen champion = mp e u n champion end We ema k ha Algo i hm 4.1 uns in On2 ime. As an example we conside he wo in eg al poin se s om Figu e 1. Thei no mal o ms o minimum lis ep esen a ions a e gi en by 0 0,0 −3,0 3,−4 0,4 0 and 0 0,0 −7,−12 9,−12 −16,−24 0,−24 −7, espec i ely. Fo a gi en in eg al poin se P he e may exis o a ion ma ices M∈R2×2, such ha M(P)has in e- g al coo dina es, which a e di e en om he eigh o hogonal ma ices in Z2×2. Bu o hese ma ices he e is no gua an ee o a p ope ex ension E⊃P, which is also an in eg al poin se o e Z2, such ha M(E)has in eg al coo dina es. Examples a e gi en by he se s E1,E2,E3in Sec ion 3. This means ha o a gi en maximal in eg al poin se Mo e Z2 he e can exis an o hogonal ma ix M∈R2×2, such ha M(M)is also an in eg al poin se o e Z2, bu which is no maximal. We may call a maximal in eg al poin se Mo e Z2s ongly maximal, i such a ma ix Mdoes no exis . To check whe he a gi en in eg al poin se Pis s ongly maximal, we only ha e o conside all possible embeddings o Pin Z2, which a e ini ely many. Ano he possibili y is o sligh ly al e Algo i hm 3.5 by looping o e he a ional (ins ead o in eg al) solu ions (xP, yP)o equa ion sys em (1). Now he 8 ANDREY RADOSLAVOV ANTONOV AND SASCHA KURZ algo i hm leads o poin se s wi h in eg al dis ances and a ional coo dina es. Bu due o Conjec u e 3.2 (which is a heo em o dimension m=2), he e exis embeddings wi h in eg al coo dina es. To clea he si ua ion wi h in eg al and a ional coo dina es we will ha e o gi e some ac s om he gene al heo y o in eg al poin se s (wi hou in eg al coo dina es). So, le Pbe a se o poin s in he m-dimensional Euclidean space Emwi h pai wise in eg al dis ances. By S⊆Pwe deno e an in eg al simplex, which is a se o m+1poin s, and by mbox olm(S)we deno e he m-dimensional olume spanned by he m+1poin s. Since he pai wise dis ances a e in eg al we can w i e olm(S) = q·kwi h q∈Qand kbeing a squa e ee in ege . I olm(S)6=0 he squa e ee in ege kis unique and we se cha (S) = k, which we call he cha ac e is ic o S. Using his no a ion we can ci e wo esul s om [17]: Theo em 4.2. In an m-dimensional in eg al poin se Pall simplices S={ 0, 1,..., m}wi h olm(S)6= 0ha e he same cha ac e is ic cha (S) = k. So we can speak o he cha ac e is ic cha (P)o an in eg al poin se P. Lemma 4.3. An in eg al m-dimensional simplex S={ 0 0, 0 1,..., 0 m}wi h dis ance ma ix D= (di,j)∈ N o 0⩽i, j ⩽mand olm(S)6=0can be ans o med ia an isome y in o he coo dina es 0= (0,0,...,0), 1= (q1,1pk1,0,0...,0), 2= (q2,1pk1, q2,2pk2,0,...,0), . . . m= (qm,1pk1, qm,2pk2,...,qm,mpkm), whe e kiis he squa e ee pa o oli( 0 0, 0 1,..., 0 i)2 oli−1( 0 0, 0 1,..., 0 i−1)2,qi,j ∈Q, and qj,j, kj6=0. We ema k ha we always ha e k1=1. The connec ion be ween he kiand he cha ac e is ic cha (P) = kis gi en by cha (P) = cha (S) = k=squa e ee pa o m Y i=1 ki. Thus plane in eg al poin se s Pwi h a ional coo dina es a e exac ly hose wi h cha ac e is ic cha (P) = 1. Due o Conjec u e 3.2 plane in eg al poin se s o e Z2co espond o plane in eg al poin se s wi h cha ac e is ic 1. So in p inciple he e is no need o ca e abou he coo dina es – his can s ill be done a e wa ds. The e is one u he ans o ma ion ha maps in eg al poin se s o e Z2on o in eg al poin se s o e Z2: scaling by an in eg al ac o λ. One handicap o his mapping is ha he in e se mapping may lead o non-in eg al poin se s. Ano he sho coming is ha maximal in eg al poin se s may be mapped on o non-maximal in eg al poin se s. An example is gi en by he maximal in eg al poin se P= 0 0,3 0,0 4,3 4. I we scale i by a ac o o 2we ob ain 2·P=0 0,6 0,0 8,6 8 an in eg al poin se o e Z2which can be ex ended by he poin 3 4. In con as o his example he in eg al poin se 3·P=0 0,9 0,0 12,9 12is maximal. One migh conjec u e ha o e e y maximal in eg al poin se M he e exis s an in ege λ>1such ha λ·Mis also maximal. 5. MAXIMAL INTEGRAL POINT SETS WITH GIVEN CARDINALITY AND MINIMUM DIAMETER F om he combina o ial poin o iew a na u al ques ion is o ask o he minimum possible diame e dM(k, m)o a maximal in eg al poin se M⊂Zmo ca dinali y k. I such a poin se does no exis MAXIMAL INTEGRAL POINT SETS OVER Z29 we se dM(k, m) = ∞. U ilizing he exhaus i e algo i hm desc ibed in Sec ion 3 we ha e ob ained he esul s gi en in Table 1. k dM(k,2)co esponding poin se 45{(0, 0),(3, 4),(0, 4),(3, 0)} 58{(0, 0),(3, 4),(0, 4),(0, 8),(−3, 4)} 625 {(0, 0),(12, 16),(12, 9),(−12, 9),(−12, 16),(0, 25)} 730 {(0, 0),(6, 8),(0, 8),(0, 16),(−6, 8),(−15, 8),(15, 8)} 865 {(0, 0),(15, 36),(0, 16),(15, −20),(48, −20),(48, 36),(63, 0),(63, 16)} 996 {(0, 0),(15, 20),(0, 20),(0, 40),(0, 56),(0, −16),(−15, 20),(−48, 20),(48, 20)} {(0, 0),(22, 120),(0, 120),(−27, 120),(160, 120),(182, 0),(182, 120), 10 ⩽600 (−209, 120),(209, 120),(391, 120)} {(0, 0),(5, 12),(0, 12),(0, 24),(−5, 12),(−9, 12),(9, 12),(−16, 12),(16, 12), 11 70 (−35, 12),(35, 12)} {(0, 0),(35, 120),(35, 84),(−64, −48),(0, 204),(−189, −48),(−64, 252), 12 ⩽325 (−253, 0),(−189, 252),(−288, 84),(−288, 120),(−253, 204)} {(0, 0),(48, 64),(0, 64),(0, 128),(−48, 64),(−120, 64),(120, 64),(−252, 64), 13 ⩽2046 (252, 64),(−510, 64),(510, 64),(−1023, 64),(1023, 64)} TABLE 1. Minimum possible diame e s o maximal plane in eg al poin se s wi h gi en ca dinali y. Clea ly we ha e dM(1, 2) = dM(2, 2) = ∞since a line l h ough wo di e en poin s P1and P2 wi h in eg al coo dina es and in eg al dis ance P1P2con ains an in ini e in eg al poin se P={P1+λ· (P2−P1) : λ∈Z}as a subse . So he nex alue o de e mine is dM(3, 2). Whe he dM(3, 2)is ini e had been an open ques ion o [3], which was answe ed in [12] by de e mining dM(3, 2) = 2066, – a diame e ou o each o ou gene al exhaus i e algo i hm desc ibed in Sec ion 3. Bu i can be easily adap ed o his pu pose. We al e Algo i hm 3.1 by omi ing igh -angled iangles, since hese ob iously a e no maximal. Then we skip Algo i hm 3.4 and di ec ly un he e sion o Algo i hm 3.5 whe e we sea ch o a ional ins ead o in eg al solu ions (xP, yP)o equa ion sys em (1). I we ha e ound he i s solu ion (xP, yP) o a gi en iangle ∆we can immedia ely s op ou in es iga ions on ∆since i canno be a maximal in eg al iangle. Using hese educ ions and skipping he ime consuming clique sea ch we we e able o exhaus i ely sea ch o (s ongly) maximal in eg al iangles o e Z2wi h diame e a mos 15000 [12, 18]. The e a e exac ly 126 such examples. He e we lis he i s , wi h espec o hei diame e , en examples, whe e we gi e he edge leng hs and he coo dina es in minimal lis ep esen a ion, which is unique in hese cases: {2066, 1803, 505}(0, 0)T,(−336, −377)T,(384, −2030)T {2549, 2307, 1492}(0, 0)T,(−700, −2451)T,(1100, −1008)T {3796, 2787, 2165}(0, 0)T,(−387, −2760)T,(1680, −3404)T {4083, 2425, 1706}(0, 0)T,(−410, −1656)T,(1273, 2064)T {4426, 2807, 1745}(0, 0)T,(−280, −2793)T,(376, −4410)T {4801, 2593, 2210}(0, 0)T,(−1488, −1634)T,(1632, 2015)T {4920, 4177, 985}(0, 0)T,(−473, −864)T,(4015, 1152)T {5044, 4443, 2045}(0, 0)T,(−1204, −1653)T,(2156, −4560)T {5045, 4803, 244}(0, 0)T,(−44, −240)T,(240, 4797)T {5186, 5163, 745}(0, 0)T,(−407, −624)T,(4030, −3264)T 16 ANDREY RADOSLAVOV ANTONOV AND SASCHA KURZ Thus he dis ance be ween ξsand ξ is gi en by |ξs−ξ |=1 R|xsy −x ys|. Since ηsη = (xs+ysi)(x −y i) = xsx +ysy +i(x ys−xsy ) and ηsη =iksik Y j=1 ω j+uj jω j−uj j Y j=1 ω j+wj jω j−wj j =iks−k Y j=1 ω2 j+uj−wj jω2 j−uj+wj j =R·iks−k Y j=1 ω j+uj−wj jω j−uj+wj j∈Z[i] we ha e ha he dis ance be ween ξsand ξ is in eg al o e e y 1⩽s, ⩽2τ(R). Addi ionally we can add he cen e o he ci cle o his poin se o ob ain an in eg al poin se o ca dinali y 2·τ(R)+ 1ha ing a ional coo dina es. A e a sui able o a ion we can achie e in eg al coo dina es. So le us ha e an example. We choose R=5·13 =65 and successi ely ob ain ω1=2+i, ω2=3+2i, η1=65i, η2=65, η3= −52 +39i, η4=39 +52i, η5= −60 +25i, η6=25 +60i, η7= −56 −33i, η8= −33 +56i, ξ1= −65, ξ2=65, ξ3=91 5−312 5i, ξ4= −91 5+312 5i, ξ5=595 13 −600 13 i, ξ6= −595 13 +600 13 i, ξ7=2047 65 +3696 65 i, ξ8= −2047 65 −3696 65 i. A e adding he o igin (0, 0)Tand applying a sui able o a ion and ansla ion we ob ain he maximal in eg al poin se P=0 0,0 −32,−30 40 ,−30 −72,−63 −16,−96 40 ,−96 −72,−126 0,−126 −32  in minimum coo dina e ep esen a ion. Cons uc ion 6.12. Fo a gi en Rwhich has only p ime ac o s p ul illing p≡1(mod 4) he e exis s an in eg al poin se ci cle(R)consis ing o 2·τ(R)poin s on a ci cle o adius R oge he wi h i s cen e , whe e τ(R)deno es he numbe o di iso s o R. F om he abo e i is easy o deduce ha he 2τ(R)poin s on he ci cle all ha e pai wise e en dis ances and ha he diame e o his poin se is gi en by 2R. Using his we can gi e ano he cons uc ion. Cons uc ion 6.13. Fo a gi en Rwhich has only p ime ac o s p ul illing p≡1(mod 4) he e exis s an in eg al poin se ] ci cle(R)consis ing o 2·τ(R)poin s on a ci cle o adius R 2, whe e τ(R)deno es he numbe o di iso s o R. Conjec u e 6.14. The plane in eg al poin se s gi en by Cons uc ion 6.12 and Cons uc ion 6.13 a e maximal. We can gene alize he idea o Cons uc ion 6.13 in some way. Le be an a bi a y in ege , Rbe a in ege ha ing only p ime ac o ul illing p≡1(mod 4), and P(R)be he in eg al poin se gi en by Cons uc ion 6.12 wi h adius R. By P(R, )we deno e he poin se which a ises om P(R)by scaling he poin se wi h a ac o 1 , his means di iding all dis ances by . Thus P(R, )is a poin se wi h pai wise a ional dis ances and a ional coo dina es. Wi h his we can cons uc a g aph Gcon aining he poin s o P(R, )as i s e ices. Two e ices o Ga e connec ed by an edge, i and only i he co esponding MAXIMAL INTEGRAL POINT SETS OVER Z217 poin s ha e an in eg al dis ance in P(R, ). The maximal cliques Co Gco espond o in eg al poin se s P(R, , C). Cons uc ion 6.15. Fo a gi en Rwhich has only p ime ac o s p ul illing p≡1(mod 4)and a gi en in ege he e exis in eg al poin se s ci cle(R, , C)consis ing o poin s on a ci cle o adius R , whe e Cis a maximal clique o he abo e desc ibed g aph. As an abb e ia ion we use ci cle(R, )ins ead o ci cle(R, , C). Conjec u e 6.16. Fo =8Cons uc ion 6.15 gi es maximal in eg al poin se s o ca dinali y τ(R). 7. MAXIMAL INTEGRAL POINT SETS OVER Z2WITH FURTHER CONDITIONS k dM(k, 2)cons uc ion k dM(k, 2)cons uc ion 3=2066 ∆(2066, 1803, 505)26 ⩽112895 decompose 26·3·7, 5 4=5P1(3, 4) = ] ci cle(5)27 ⩽2590 decompose 23·32 5=8P2(3, 4) = c ab(3, 4)28 ? .203125 ] ci cle 56·13 =c ab(4, 3)29 ⩽1798 decompose 22·3·5 6=25 ] ci cle 5230 ⩽105625 ] ci cle 54·132 7=30 c ab (8, 6, 15)31 ? .211250 ci cle 54·132 8=65 ] ci cle (5·13)32 ⩽27625 ] ci cle 53·13 ·17 9=130 ci cle (5·13)33 ⩽55250 ci cle 53·13 ·17 10 ⩽625 ] ci cle 5434 ⩽142295 decompose 23·3·7·11, 5 11 =70 decompose 22·335 ⩽18430 decompose 26·3 12 =325 ] ci cle 52·1336 ⩽40625 ] ci cle 55·13 13 ⩽650 ci cle 52·1337 ⩽10366 decompose 24·32 14 ⩽15625 ] ci cle 5638 ? .571535 decompose 24·33·7, 5 15 ⩽8190 decompose 2739 ? .4816895 decompose 29·3·7, 5 16 ⩽1105 ] ci cle (5·13 ·17)40 ⩽138125 ] ci cle 54·13 ·17 17 =286 decompose 23·341 ⩽73726 decompose 27·3 18 ⩽4225 ] ci cle 52·13242 ? .677375 decompose 26·32·7, 5 19 ⩽8450 ci cle 52·13243 ? .4573799 decompose 23·32·5·7·11, 17 20 ⩽8125 ] ci cle 54·1344 ? .6614998 decompose 24·32·52·7, 13 21 ⩽16250 ci cle 54·1345 ? .7001315 decompose 23·32·72, 5 22 ⩽53360 decompose 22·3·7·11, 546 ? .64833614 decompose 22·34·5·7·11, 17 23 ⩽1150 decompose 24·347 ⩽7198 decompose 23·3·5 24 ⩽5525 ] ci cle 52·13 ·1748 ? .160225 ] ci cle 52·13 ·17 ·29 25 ⩽11050 ci cle 52·13 ·1749 ? .320450 ci cle 52·13 ·17 ·29 50 ? .4064255 decompose 27·32·7, 5 TABLE 2. Bes known cons uc ions o maximal in eg al poin se s o e Z2in a bi- a y posi ion. In Table 2 we ha e summa ized he cons uc ions yielding he smalles diame e o a maximal in eg al poin se o e Z2. Some o he alues dM(k, 2)could be de e mined exac ly by an exhaus i e sea ch, bu 18 ANDREY RADOSLAVOV ANTONOV AND SASCHA KURZ o mos alues o kwe only ha e uppe bounds (and 301 as lowe bound). In some cases, deno ed by ? ., we we e no able o check he maximali y o he cons uc ed poin se s, since hei diame e was oo la ge. Looking a Table 2 we obse e, ha he cons uc ions o c abs (Cons uc ion 6.6 and Cons uc ion 6.10) a e e y domina ing. The esul ing poin se s con ain n−2and n−1collinea poin s ou o npoin s, espec i ely. So i may be in e es ing o s udy maximal in eg al poin se s o e Z2, whe e no h ee poin s a e collinea . We also say, ha a poin se is in semi-gene al posi ion, i no h ee poin s a e collinea . By dM(k, 2)we deno e he minimum possible diame e o hese poin se s. We can check o his u he condi ion, ha no h ee poin s a e collinea , by applying Lemma 6.8. Using he me hods and algo i hms desc ibed in his a icle, we we e able o ob ain some exac alues and some uppe bounds o dM(k, 2). The esul s a e summa ized in Table 3. We would like o ema k ha we addi ionally ha e he lowe bounds dM(k, 2)⩾5525 o k∈{11, 13, 14, 15, 17}and dM(k, 2)⩾10001 o k⩾19,k6=20, 24. k dM(k, 2)cons uc ion k dM(k, 2)cons uc ion 3=2066 ∆(2066,1803,505)27 ? .305218 ci cle(52·132·172,8) 4=5P1(3,4)= ^ ci cle(5)28 ? .203125 ^ ci cle(56·13) 5=120 see Figu e 5 29 ? .9311389618298531250 ci cle(528,8) 6=25 ^ ci cle(52)30 ⩽105625 ^ ci cle(54·132) 7=925 see Figu e 6 31 ? .232784740457463281250 ci cle(530,8) 8=65 ^ ci cle(5·13)32 ⩽27625 ^ ci cle(53·13·17) 9=1045 see Figu e 7 33 ? .412343750 ci cle(510·132,8) 10 =625 ^ ci cle(54)34 ? .152587890625 ^ ci cle(516) 11 ? .2434375 ci cle(510,8)35 ? .111562500 ci cle(56·134,8) 12 =325 ^ ci cle(52·13)36 ⩽71825 ^ ci cle(52·132·17) 13 ? .60859375 ci cle(512,8)37 ? .3637261569647863769531250 ci cle(536,8) 14 ⩽15625 ^ ci cle(56)38 ? .3814697265625 ^ ci cle(518) 15 ⩽26390 ci cle(54·132,8)39 ? .10314771205 ci cle(512·132,8) 16 =1105 ^ ci cle(5·13·17)40 ⩽138125 ^ ci cle(54·13·17) 17 ? .38037109375 ci cle(516,8)41 ? .2273288481029914855957031250 ci cle(540,8) 18 =4225 ^ ci cle(52·132)42 ? .2640625 ^ ci cle(56·132) 19 ? .950927734375 ci cle(518,8)43 ? .56832212025747871398925781250 ci cle(542,8) 20 =8125 ^ ci cle(54·13)44 ? .126953125 ^ ci cle(510·13) 21 ? .659750 ci cle(56·132,8)45 ? .7630450 ci cle(54·132·172,8) 22 ? .9765625 ^ ci cle(510)46 ? .2384185791015625 ^ ci cle(522) 23 ? .595928935571106 ci cle(522,8)47 ? .35520132516092419624328613281250 ci cle(546,8) 24 =5525 ^ ci cle(52·13·17)48 ? .160225 ^ ci cle(52·13·17·29) 25 ? .4462500 ci cle(54·134,8)49 ? .18854062500 ci cle(56·136,8) 26 ? .244140625 ^ ci cle(512)50 ? .17850625 ^ ci cle(54·134) TABLE 3. Bes known cons uc ions o maximal in eg al poin se s o e Z2in semi- gene al posi ion. MAXIMAL INTEGRAL POINT SETS OVER Z219 We would like o ha e a close look on he smalles known examples o maximal in eg al poin se s in semi-gene al posi ion consis ing o an odd numbe o poin s. Fo ca dinali y 5 he wo smalles poin se s wi h espec o he diame e a e gi en in minimum coo dina e ep esen a ion by 0 0,0 −78,−20 21 ,−20 −99,−52, −39and 0 0,0 −80,−45 28 ,−45 −108,−96 −40, see Figu e 5 o a d awing o he i s poin se . Bo h poin se s consis o ou poin on a ci cle Co adii 29·101 40 and 13·53 10 , espec i ely. In each case he i h poin does no lie on his ci cle C, bu he line h ough his poin and he cen e o Cis a symme y axis o he poin se . x x x x x FIGURE 5. The smalles maximal in eg al poin se o ca dinali y 5in semi-gene al posi ion. Fo ca dinali y 7 he wo smalles examples a e gi en by 0 0,0 −285,−180 240 ,−440 −384,−700 240 ,−880 0,−880 −285 and 0 0,0 −855,−540 720 ,−1320 −1152,−2100 720 ,−2640 0,−2640 −855 , see Figu e 6 o a g aphical ep esen a ion o he i s example. The geome ic shape o he co esponding wo poin se s is simila o he case o ca dinali y 5. In each case 6poin s a e si ua ed on a ci cle Co adii 52·37 2and 3·52·37 2, espec i ely. Again we ha e he symme y axis h ough he se en h poin and he cen e o C. u uu u u u u FIGURE 6. The smalles maximal in eg al poin se o ca dinali y 7in semi-gene al posi ion. 20 ANDREY RADOSLAVOV ANTONOV AND SASCHA KURZ Fo ca dinali y 9 he wo smalles examples a e gi en by 0 0,0 −504,−64 −252,612 255,612 −759,720 210,720 −714,836 123,836 −627 and 0 0,0 −672,−123 164 ,−123 −836,−816 340 ,−816 −1012,−960 280 ,−960 −952,−1323 −336 , see Figu e 7 o a g aphical ep esen a ion o he i s example. He e in bo h examples all nine poin s a e si ua ed o ci cles o adii 52·132 8and 52·132 6, espec i ely. They bo h can be ob ained using Cons uc ion 6.15. u u u u u u u u u FIGURE 7. The smalles maximal in eg al poin se o ca dinali y 9in semi-gene al posi ion. Now we obse e ha he cons uc ions based on ci cles, Cons uc ion 6.12, Cons uc ion 6.13, and Cons uc ion 6.15, a e e y domina ing in his con ex . The nex na u al s ep is o also o bid ou poin s on a ci cle. I no h ee poin s a e on a line and no ou poin s on a ci cle we speak o gene al posi ion. By ˙ dM(k, 2)we deno e he minimum possible diame e o a maximal plane in eg al poin se in gene al posi ion o e Z2. Wi hou he maximali y condi ion hese poin se s a e also known as k2-clus e [22]. As we canno apply ou mos success ul cons uc ions based on c abs and ci cles in his case, examples a e sca ce. Fo he check whe he ou poin s a e si ua ed on a ci cle we ha e a well known c i e ion simila o Lemma 6.8: Lemma 7.1. Fou poin s (x1, y1),(x2, y2),(x3, y3),(x4, y4)in R2a e si ua ed on a ci cle i and only i  x1y1x2 1+y2 11 x2y2x2 2+y2 21 x3y3x2 3+y2 31 x4y4x2 4+y2 41  =0 holds. In Table 4 we ha e summa ized ou knowledge on ˙ dM(k, 2). Fo he lowe bound ˙ dM(7, 2)> 599000 we e e o [18]. Whe he ˙ dM(7, 2)is ini e (e en i we d op he maximali y condi ion) is an open MAXIMAL INTEGRAL POINT SETS OVER Z221 FIGURE 8. The smalles maximal in eg al poin se o ca dinali y 4in gene al posi ion. FIGURE 9. The smalles maximal in eg al poin se o ca dinali y 5in gene al posi ion. FIGURE 10. The smalles maximal in eg al poin se o ca dinali y 6in gene al posi ion. p oblem, see [7, 22]. I we d op he maximali y condi ion and he condi ion on he in eg ali y o he coo dina es (in o he wo ds cha ac e is ic one), hen e y ecen ly wo such examples we e ound, see [14]. The smalles example o k=6is indeed he smalles in eg al poin se o cha ac e is ic one in gene al posi ion wi h ca dinali y 6. We would also like o gi e he coo dina es o he second smalles examples. Fo ca dinali y 4we ha e 0 0,0 −69,−20 −21,−92 0, o ca dinali y 5we ha e 0 0,0 −153,−60 144,−140 −48 ,−176 57 , 22 ANDREY RADOSLAVOV ANTONOV AND SASCHA KURZ and o ca dinali y 6we ha e 0 0,−135 −1008,420 1008,735 −392,1155 616 ,1290 1624. k=|P| ˙ dM(k, 2)cons uc ion 3=2066 ∆(2066, 1803, 505) 4=87 0 0,0 −33,−16 30 ,44 −33, see Figu e 8 5=165 0 0,0 −72,−35 12 ,64 −120,−90 −120, see Figu e 9 6=1886 0 0,0 −828,−448 −414,−720 132 ,−1260 −1023,−1840 −414 , see Figu e 10 7> 599000 TABLE 4. Bes known cons uc ions o maximal in eg al poin se s o e Z2in gene al posi ion. 8. CONCLUSION AND OUTLOOK We ha e desc ibed se e al cons uc ions o in eg al poin se s o e Z2wi h gi en ca dinali y ha ul ill some u he p ope ies. Al hough he maximali y o he esul ing in eg al poin se s canno be gua an eed so a , we conjec u e hem o be in many cases. 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