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Energy Value Of Benzoxepine Derivatives

Mrs.G.Jenitha ,Dr.I. Paulraj Jayasimman ,Dr.A.Kumaravel

Abstract: In this article,Minimum Domination energy value and Minimum neighborhood energy value of Benzoxepine derivatives has studied. By using these derivatives are useful intermediates for the synthesis of many natural products and biologically active molecules. These molecules are an essential objective in modern organic synthesis. AMS Subject Classification (2010): 05C69

Key Words:Minimum Domination energy value and Minimum neighborhood energy value

. ——————————  ——————————

1.

INTRODUCTION:

The concept of a energy graph was studied by Ivan Gutman . But the motivation for this concept started in the 1930s by Erich Huckel. Huckel Molecular Orbital theory enables us to approximate π-electronic energies. This chemical concept has been modeled as a graph which represents the carbon skeleton of a molecule. This concept is closely related to solving the Eigenvalue problem. It follows that solving the Eigenvalue problem for H is equivalent to solving the Eigenvalue problem for A. It is noted that most frequently an orbital contains two π-electrons exactly when the corresponding E value is positive, and no π-electrons when E is harmful.

Let Gbe a graph with

n

vertices and

m

edges and let

 

ij

Aa be the adjacency matrix of the graph. The Eigen values

 

1

,

2

,....

n of

A

, assumed in non increasing

order, are the Eigen values of the graphG. As

A

is real symmetric, the Eigen values of G are real with sum equal to zero. The energy E G

 

of G is defined to be the sum of the absolute values of the Eigen valuesofG.

i.e,

 

1

n i i E G

2.

SYNTHESIS

OF

BENZOXEPINES

DERIVATIVES:

The Baylis-Hillman adducts and their derivatives are useful intermediates for the synthesis of many natural products and biologically active molecules. Benzoxepine is an important benzo-fused medium-sized heterocycle, because there are numerous biologically active natural products and synthetic molecules, which contain this structural framework. Thus synthesis of benzoxepine derivatives constitutes an important objective in morden organic synthesis.

The benzoxepine ring system occurs in number of biologically active natural products isolated mainly from plant sources. Some of the examples which contain benzoxepine moiety are radulanin A, heliannuol D, pterulone, eranthin and ptaeroxylin .

Natural products containing

benzoxepine skeleton

The 2-benzoxepine moiety is an important structural unit present in many biologically important molecules such as doxaminol (vasodilator and β-sympathomimetic agent), isoxepac (antiinflammatory agent), oxepinac (antiinflammatory, analgesic, antipyretic agent), and pinoxepin (neuroleptic agent, tranquilliser used for treatment of schizophrenia). Natural products such as cassialactone, psorolactone, secofuranoeremophilane have also possessing benzoxepine core structure. Also synthetic 2-benzoxepine derivatives are found to possess oral hypotensive and antiulcer activities.[6][15]

Benzoxepine derivatives:

3.

ENERGY

VALUE

OF

BENZOXEPINE

DERIVATIVES:

Domination parameter:

DERIVATIVE: 1

Figure 1- Minimum Dominating Energy value _________________________________

• Mrs.G.Jenitha, Assistant Professor, Department of Mathematics, AMET Deemed to be University, Kanathur, Chennai. Email - jenithasaroja@gmail.com.

• Dr.I. Paulraj Jayasimman , Associate Professor, Department of Mathematics, AMET Deemed to be University, Kanathur, Chennai, Email - ipjayasimman@gmail.com.

(2)

3138 The characteristics equation of

f

n

G

,

12 11 10 9 8 7 6 5

4 3 2

4 7 38 14 129 9 186

11 100 9 11 0

       

   

      

    

The Eigen value of the matrix Minimum Dominating Matrix are

1 2 3 4 5

6 7 8 9

10 11 12

0 , 1.92835 , 1.64434 , 1.15863 , 0.926064,

0.467185, 0.32064 , 0.948469 , 1.82438 ,

1.95636 , 2.28754, 2.78718

                            

Energy value of Minimum Dominating Matrix is

 

1 2 3 4 5 6 7 8 9 10

1

11 12 16.249138 n

MD i i

E G           

                

DERIVATIVE: 2

Figure 2- Minimum Dominating Energy value

Therefore Minimum Dominating Matrix of

 

0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 1 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 1 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 1 1 0

D A G                                         

0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0

0 0 0 0 0 0 0 0 0 0 0 0

I                                                        Characteristic equation

,

det

 

n D

f G   IA G

 

1 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 1 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 1 0 0 0 0 0 0 0 0 0 1 1 0 0 0 0 1 0 , 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0

n f G                                            

0 0 0 0 0 0 1 1  The characteristics equation of

f

n

G

,

13 12 11 10 9 8 7 6 5

4 3 2

4 8 41 22 153 33 249 44

159 25 29 1 0

        

   

       

     

The Eigen value of the matrix Minimum Dominating Matrix are

1 2 3 4 5

6 7 8 9

10 11 12 13

2.8095 , 2.38982 , 2.0406 , 1.90598 , 0.950952, 0.363793, 0.212774 , 0.210616 , 0.619851 ,

1.23261 , 1.64471, 1.96564, 1

                              

Energy value of Minimum Dominating Matrix is

 

1 2 3 4 5 6 7 8 9 10

1

11 12 13 17.346846 n

MD i i

E G           

                  

DERIVATIVE: 3

Figure 3 - Minimum Dominating Energy value

Characteristic equation

,

det

 

n D

f G   IA G

The characteristics equation of

f

n

G

,

is

14 13 12 11 10 9 8 7 6 5

4 3 2

5 5 53 12 213 106 411 196 389

123 154 19 13 1 0

         

   

        

     

The Eigen value of the matrix Minimum Dominating Matrix are

1 2 3 4 5

6 7 8 9

10 11 12 13 14

2.8179 , 2.44373 , 2.09082 , 1.91776 , 1.41503, 0.948625, 0.327904 , 0.073936 , 0.34554 ,

0.737464 , 1.03972, 1.29275, 1.64486 , 1.97537.

                                

Energy value of Minimum Dominating Matrix is

 

1 2 3 4 5 6 7 8 9 10

1

11 12 13 14 19.071409 n

MD i i

E G           

                    

DERIVATIVE :4

Figure 4- Minimum Dominating Energy value

Characteristic equation

,

det

 

n D

f

G

I

A

G

(3)

15 14 13 12 11 10 9 8 7

6 5 4 3 2

4 11 53 44 271 82 673 87

833 83 464 63 80 11 0

        

     

       

      

The Eigen value of the matrix Minimum Dominating Matrix are

1 2 3 4

5 6 7 8

9 10 11 12

13 14 15

2.82713 , 2.50594 , 2.21209 , 1.69984 ,

1.31645, 1.17119, 0.524884 , 0.073936 ,

0.137554 , 0.84577 , 1.2807, 1.56531,

1.73864 , 2.08647, 0.

   

   

   

  

   

   

      

    

Energy value of Minimum Dominating Matrix is

  1 2 3 4 5 6 7 8 9 10

1

11 12 13 14 15 19.911968

n MD i

i

E G           

    

                

DERIVATIVE :5

Figure 5- Minimum Dominating Energy value

Characteristic equation

,

det

 

n D

f

G

I

A

G

The characteristics equation of

f

n

G

,

is

16 15 14 13 12 11 10 9 8 7

6 5 4 3 2

5 8 68 362 146 972 473 1404 552 1067 208 373 3 33 1 0

         

     

        

       

The Eigen value of Minimum Dominating Matrix are

1 2 3 4

5 6 7 8

9 10 11 12

13 14 15 16

2.15912 , 1.68024 , 1.62622 , 1.28339 , 0.74236, 0.634319, 0.475706 , 0.0305337, 0.329328 , 0.934231 , 1.24518, 1.70176,

1.92482 , 2.23729, 2.43666, 2.82262.

   

   

   

   

       

       

   

   

Energy value of Minimum Dominating Matrix is

 

1 2 3 4 5 6 7 8 9 10

1

11 12 13 14 15 16 22.2637777 n

MD i i

E G           

     

          

      

Neighborhood Parameter:

DERIVATIVE: 1

Figure 2- Minimum neighborhood Energy value

The characteristics equation of

f

n

G

,

12 11 10 9 8 7 6 5

4 3 2

6 2 43 46 115 131 150

116 98 13 13 1 0

       

   

      

     

Energy value of Minimum Dominating Matrix is

 

1 2 3 4 5 6 7 8 9 10

1

11 12 16.549138 n

MD i i

E G           

 

          

  

DERIVATIVE :2

Figure 2- Minimum Neighborhood Energy value

Therefore Minimum Neighborhood Matrix of

 

0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 1 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 1 0 1 0 0 0 0 0 0 0 0 0 1 1 1 0 0 0 0 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 1 0 0 0 0 1 1 1 0 0 0 0 0 1 0 0 0 0 0 1 0

D A G

 

 

 

 

 

 

    

        

 

            

Characteristic equation

,

det

 

n D

f

G

I

A

G

 

1 0 0 0 0 0 0 0 0 0 0 0

1 1 1 0 0 0 1 0 0 0 0 0 0

0 1 1 1 0 0 0 0 0 0 0 0 0

0 0 1 1 0 0 0 0 0 0 0 0

0 0 0 1 1 1 0 1 0 0 0 0 0

0 0 0 0 1 1 1 0 0 0 0 0 1

, 0 1 0 0 0 1 0 0 0 0 0 0

0 0 0 0 1 0 0 1 0 0 0 0

0 0 0 0 0 0 0 1 1 1 1 0 0

0 0 0 0 0 0 0 0 1 0 0 0

0 0 0 0 0 0 0 0 1 0 1 0

0 0 0 0 0 0 0 0 0 0 1 1 1

n

f G

 

 

 

 

 

 

 

   

  

 

   

   

  

 

   

 

  

0 0 0 0 0 1 0 0 0 0 0 1 

The characteristics equation of

f

n

G

,

is

13 12 11 10 9 8 7 6 5

4 3 2

6 48 45 147 146 223 151 167 30 37 5 0

        

   

       

    

The Eigen value of Minimum Neighborhood Matrix are

1 2 3 4 5

6 7 8 9

10 11 12 13

3.01367 , 2.53082 , 2.17235 , 1.97678 , 1.43725, 0.626918, 0.186537 , 0.370762 , 0.860543 ,

1.06677 , 1.53741, 1.73576, 0.

    

   

   

    

      

     

Energy value of Minimum Neighborhood Matrix is

 

1 2 3 4 5 6 7 8 9 10

1

11 12 13 17.51557 n

MN i i

E G           

  

          

   

DERIVATIVE :3

(4)

3140

,

det

 

n D

f G

 

IA G

The characteristics equation of

f

n

G

,

is

14 13 12 11 10 9 8 7 6

5 4 3 2

7 6 54 100 144 364 173 549

135 348 97 62 22 1 0

        

    

       

      

The Eigen value of Minimum Neighborhood Matrix are

1 2 3 4 5

6 7 8 9

10 11 12 13 14

2.93044 , 2.5099 , 2.19724 , 2.06288 , 1.58914, 1.405, 0.565132 , 0.0543452 , 0.321594 ,

0.500642 , 0.788475, 1.23305, 1.50571 , 1.85594.

    

   

    

    

     

         

Energy value of Minimum Neighborhood Matrix is

 

1 2 3 4 5 6 7 8 9 10

1

11 12 13 14 19.5194882 n

MN i i

E G           

   

          

    

DERIVATIVE:4

Figure 4- Minimum Neighborhood Energy value

Characteristic equation

,

det

 

n D

f

G

I

A

G

The characteristics equation of

f

n

G

,

is

15 14 13 12 11 10 9 8 7

6 5 4 3 2

7 4 65 98 239 441 468 853 564 735 415 201 125 11 0

        

     

       

      

The Eigen value of Minimum Neighborhood Matrix is

1 2 3 4

5 6 7 8

9 10 11 12

13 14 15

3.09624 , 2.69805 , 2.26469 , 1.98663 ,

1.64531, 1.55586, 0.797435 , 0.111718 ,

0.428568 , 0.72537 , 1.15781, 1.30024,

1.54114 , 1.77936, 0.

   

   

   

  

   

    

      

    

Energy

value of Minimum Neighborhood Matrix is

 

1 2 3 4 5 6 7 8 9 10

1

11 12 13 14 15 21.088421 n

MD i i

E G           

    

          

     

DERIVATIVE :5

Figure 5- Minimum Neighborhood Energy value

Characteristic equation

,

det

 

n D

f G

 

IA G

The characteristics equation of

f

n

G

,

is

16 15 14 13 12 11 10 9 8 7

6 5 4 3 2

8 10 69 174 194 799 178 1720 6

1926 69 1054 209 179 61 4 0

         

     

        

       

The Eigen value of Minimum Neighborhood Matrix are

1 2 3 4

5 6 7 8

9 10 11 12

13 14 15 16

2.61906 , 2.2626 , 2.10971 , 1.93026 , 1.59538, 1.40494, 0.577944 , 0.0916545,

0.296547 , 0.513619 , 0.749902, 0.984379, 1.40015 , 1.50318, 1.96412, 3.00368.

   

   

   

   

   

    

       

      

Energy value of Minimum Neighborhood Matrix is

 

1 2 3 4 5 6 7 8 9 10

1

11 12 13 14 15 16 23.0071 n

MN i i

E G           

     

          

      

TABLE:

SL.NO

BENZOXEPINE

DERIVATIVES DOMINATION PARAMETER NEIGHBORHOOD PARAMETER

1

  16.249138

MD

E GEMN G 16.549138

2

  17.346846

MD

E GEMN G 17.51557

3

  19.071409 MD

E GEMN G19.5194882

4

  19.911968

MD

E GEMN G 21.088421

5

  22.2637777

MD

E GEMN G 23.0071

5.

CONCLUSION:

The author Investigate the Minimum dominating energy value and Minimum neighborhood energy value for Benzoxipine derivatives. Further the author will Investigate the energy value through the other parameter in domination for this Chemical graphs.

6. ACKNOWLEDGEMENT:

The authors are also thankful to AMET deemed to be university for their constant support and encouragement.

7. REFERENCES:

[1] Adiga. C, A. Bayad, I. Gutman, S.A. Srinivas, The minimum covering

[2] energy of a graph,Kragujevac J. Sci., 34 (2012), 39-56.

[3] Bapat R. B., S. Pati, Energy of a graph is never an odd integer, Bul. Kerala Math. Asso.,1(2011), 129-132.

[4] Dinesh and Puttaswamy. A.C, ―The minimum neighbourhood energy of a graph‖, ―International online multidisciplinary journal‖, vol. 5,2016.

[5] Gutman .I, The energy of a graph,Ber. Math-Statist. Sekt. Forschungsz. Graz, 103(1978),1-22

[6] Gutman.I, X. Li, J. Zhang, Graph Energy,(Ed-s: M. Dehmer, F. Em-mert), Streib., Anal. Comp. Net., From Biology to Lin- guistics, Wiley-VCH, Weinheim, (2009), 145-174.

[7] Bakthadoss.M.,Sivakumar,N, Devaraj,A. (Tetra letters ).Tetlet-2015-07-03.

[8] Harary. F, Graph Theory,Addison Wesley, Massachusetts, 1969.

(5)

[10]JoselineManora J and Swaminathan V, Majority dominating sets- published in J A R J: Vol.3, No.2 (75-82) 2006.

[11]Kanna. R, B. N. Dharmendra, and G. Sridhara, Minimum dominating energy of a graph,Int. J. Pure Appl. Math., 85:4(2013), 707-718

[12]Kulli.V.R and Kattimani, The Inverse Neighbourhood Number of a graph, South. East.Asian.J. Math. & Math. Sc. Vol.6 No.3 (2008), pp. 23-28.

[13]Kavitha permi.K,N.Prakasha, ―Minimum inverse dominating energy of a graph‖, ―Iconic research and engineering journals‖, vol. 1,2018.

[14]RajeshKanna,M.R.,B.N.Dharmendra,G.Sridhara , "The minimum Dominating Energy of a Graph‖ ," International journal of Pure and Applied Mathematics‖, vol. 85, pp. 707-718,2013.

[15]Zwierchowski. M, Total numbers of special kinds of dominating sets of graphs, Graph Theory notes of Newyork,XLVI:3, New York Academy of sciences (2004)13-19

Figure

Figure 1- Minimum Dominating Energy value
Figure 2- Minimum Dominating Energy value
Figure 3-  Minimum Neighborhood Energy value

References

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