Raport de cercetare - Lorentz JÄNTSCHI
Raport de cercetare - Lorentz JÄNTSCHI
Raport de cercetare - Lorentz JÄNTSCHI
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H(·,·) Σ(·) Σ(·) 2 ΣA(·) ΣA(·) 2 Σ(1/(·)) Σ(1/(·)) 2 ΣA(1/(·)) 2 ΣA(1/(·)) 2<br />
H(D,CJD) 600 6954 60.5 242 7.971 1.315 3.308 0.783<br />
H(D,CJΔ) 347 2491 27.5 63 19.834 10.582 9.493 7.652<br />
H(D,CFD) 622 7616 60.5 242 7.717 1.278 3.308 0.783<br />
H(D,CFΔ) 349 2571 27.5 63 19.813 10.580 9.493 7.652<br />
H(D,SzD) 756 13048 60.5 242 7.389 1.250 3.308 0.783<br />
H(D,SzΔ) 769 13500 60.5 242 7.333 1.238 3.308 0.783<br />
H(Δ,CJD) 1292 32244 258.5 4718 3.574 0.255 0.896 0.075<br />
H(Δ,CJΔ) 653 6885 104.5 702 7.676 1.243 2.252 0.412<br />
H(Δ,CFD) 1338 35082 258.5 4718 3.437 0.244 0.896 0.075<br />
H(Δ,CFΔ) 655 6965 104.5 702 7.655 1.241 2.252 0.412<br />
H(Δ,SzD) 1564 51568 258.5 4718 3.189 0.224 0.896 0.075<br />
H(Δ,SzΔ) 1592 53560 258.5 4718 3.166 0.222 0.896 0.075<br />
÷ Produsul Schultz a două matrici S(·,A,·):<br />
o Definiţie: S(X,A,Y)i,j=X(A+Y);<br />
o Aplicaţii:<br />
Schultz CJD CJΔ CFD CFΔ SzD SzΔ<br />
A S(A,A,CJD) S(A,A,CJΔ) S(A,A,CFD) S(A,A,CFΔ) S(A,A,SzD) S(A,A,SzΔ)<br />
D S(D,A,CJD) S(D,A,CJΔ) S(D,A,CFD) S(D,A,CFΔ) S(D,A,SzD) S(D,A,SzΔ)<br />
Δ S(Δ,A,CJD) S(Δ,A,CJΔ) S(Δ,A,CFD) S(Δ,A,CFΔ) S(Δ,A,SzD) S(Δ,A,SzΔ)<br />
o Indici pe matricile Schultz:<br />
S(·,A,·) Σ(·) Σ(·) 2 ΣA(·) ΣA(·) 2 Σ(1/(·)) Σ(1/(·)) 2 ΣA(1/(·)) 2 ΣA(1/(·)) 2<br />
S(A,A,CJD) 550.5 4833.5 61 248 8.76175 1.31487 3.47024 0.72197<br />
S(A,A,CJΔ) 341.5 1987.5 35 59 16.89960 6.16609 8.11905 4.48810<br />
S(A,A,CFD) 565.5 5205.5 64 292 8.46774 1.26196 3.41607 0.70670<br />
S(A,A,CFΔ) 342.5 2003.5 35 59 16.81627 6.14526 8.11905 4.48810<br />
S(A,A,SzD) 628.5 6339.5 61 248 7.90838 1.13978 3.47024 0.72197<br />
S(A,A,SzΔ) 638.5 7171.5 63 342 7.49169 1.45677 3.43849 1.08596<br />
S(D,A,CJD) 6358.5 728779 1215 137976 0.57811 0.00663 0.13649 0.00177<br />
S(D,A,CJΔ) 3573.5 217760 712 45023 1.01352 0.01929 0.22652 0.00467<br />
S(D,A,CFD) 6576 764461 1278.5 147548 0.55208 0.00590 0.12597 0.00145<br />
S(D,A,CFΔ) 3591 219152 718.5 45529 1.00766 0.01898 0.22338 0.00450<br />
S(D,A,SzD) 7440 1002756 1515.5 219149 0.49894 0.00496 0.11222 0.00123<br />
S(D,A,SzΔ) 7786 1016184 1548.5 208403 0.47479 0.00423 0.10478 0.00102<br />
S(Δ,A,CJD) 13560.5 3120452 2446 527736 0.27149 0.00139 0.06576 0.00039<br />
S(Δ,A,CJΔ) 7227.5 887001 1330 150684 0.50828 0.00483 0.12147 0.00126<br />
S(Δ,A,CFD) 14022 3290896 2598.5 573094 0.25910 0.00124 0.06093 0.00032<br />
S(Δ,A,CFΔ) 7255 890817 1339.5 151878 0.50613 0.00476 0.12055 0.00123<br />
S(Δ,A,SzD) 15724 4220049 2992.5 802176 0.23648 0.00106 0.05506 0.00028<br />
S(Δ,A,SzΔ) 15684 4367127 2991.5 792573 0.23389 0.00108 0.05216 0.00025<br />
Polinoame<br />
Polinoamele au aplicaţii importante în topologia moleculară. Următoarele polinoame sunt <strong>de</strong>finite:<br />
÷ Polinomul caracteristic (ChP) asociat unui graf G [Bolboacă SD, Jäntschi L. 2007. How Good<br />
the Characteristic Polynomial Can Be for Correlations? Int J Mol Sci 8(4):335-345] se obţine pe<br />
baza matricii <strong>de</strong> adiacenţă A=A(G) astfel: ChP(G,X)=<strong>de</strong>t[XI-A(G)]<br />
÷ Polinoamele <strong>de</strong> numărare (CDi, CMx, CcM, CSz, CCf) se <strong>de</strong>finesc astfel [Jäntschi L. 2007.<br />
Characteristic and Counting Polynomials of Nonane Isomers. Cluj: Aca<strong>de</strong>micDirect, p. 101]:<br />
C(G,M,X) = Σk≥0|{Mi,j , |Mi,j| = k}|X k , un<strong>de</strong> M=D, Mx, cM, Sz, Cf.<br />
În tabelul 10 este redată matricea caracteristică, iar în Tabelele 11-15 sunt redate matricile <strong>de</strong><br />
numărare CDi, CMx, CcM, CSz, CCf asociate grafului molecular din Tabelul 9.<br />
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