Here's the 14x14 matrix

pt1)

Your program should report just the eigenvalues (not the eigenvectors) of the matrix. Report them in order, sorted from lowest to highest.

We will test your program with the command

 anharm.py  
where our test input file contains a single set of values, epsilon and n.
 
pt2)
 
Do the diagonalization (find the eigenvalues) for n = 8, 10, 12, and 14 and epsilon = 0.15, and see how the lowest three eigenvalues are converging.
 
 
 
 
 
i can get the eigenvalues but not sure about the other parts. any help is appreciated thanks
  8.75000000 0.00 2.1 12132034 .00000eee  1.22474487 0.00000000 , eee88 .oooooooo o.eeeeee 3.75 8888 2.73861279 . , 4.74341649 ,00000000 0.0eee8888 .oooooooo 00000 6,8888880020 , 12461180 6.0000 8.99000000 6.12372436  1.22474487 0.0000ee0e 12.124 8.00000000 2.738 8.88000000 0.000 4 837 0.00008888 ,00000000 0.00000000 000 0.00000000 ,88000000 ee  . 88888800 0.0000eeee 8.80000000 565 0.00000000 30.75888000 12474866 0.00000000 10.24695877  ,000000 20.12461180 0.8880000 45.75000000e 000808 13.74772708 1248688 .00000000 17.74823935 00 0.00000088 ,00000000 0.0000 08 0.00 8.88900000 0.0000 0.0000000063 . 75 1248688 17.74823935 649 0.00000000 30.12474066  ,0000000056 . ,00000000108 . 75888888 0 0,00000000 27.24885319  .8888 7. 24568837 .8888889 42.12481454 e  .0 72, 12489 168 . 22.24859546 00000 000 0.00000006 ,88880000 0.00000000 0.00000000 0.000000ee .  0.88880000 - e-ee 13.74772708 .08888888 72.12489168 .08888 1 12491331 35. 75000000 0.00 110. 24 00000000165 92906 0.00000688 32.74904579 87 ,88000000 8. 88000 0.00000000 . 75068888  .00000000 89889900 ,88888800 00000 .88888888 22.24859546 0.eeeeee 110.12492 906 0.00000880 198.75000000 0.000008 0 . 6eeeee 156 . 12494996 0000eeee 88880 0.00000000 , .000 9.00000000 132.12494887 8 ,88000000 234.75  ,88000000 273 . 75000000 74904579 .0eeeeeee 156 . 12494996 0 . 00eeeee  8.75000000 0.00 2.1 12132034 .00000eee  1.22474487 0.00000000 , eee88 .oooooooo o.eeeeee 3.75 8888 2.73861279 . , 4.74341649 ,00000000 0.0eee8888 .oooooooo 00000 6,8888880020 , 12461180 6.0000 8.99000000 6.12372436  1.22474487 0.0000ee0e 12.124 8.00000000 2.738 8.88000000 0.000 4 837 0.00008888 ,00000000 0.00000000 000 0.00000000 ,88000000 ee  . 88888800 0.0000eeee 8.80000000 565 0.00000000 30.75888000 12474866 0.00000000 10.24695877  ,000000 20.12461180 0.8880000 45.75000000e 000808 13.74772708 1248688 .00000000 17.74823935 00 0.00000088 ,00000000 0.0000 08 0.00 8.88900000 0.0000 0.0000000063 . 75 1248688 17.74823935 649 0.00000000 30.12474066  ,0000000056 . ,00000000108 . 75888888 0 0,00000000 27.24885319  .8888 7. 24568837 .8888889 42.12481454 e  .0 72, 12489 168 . 22.24859546 00000 000 0.00000006 ,88880000 0.00000000 0.00000000 0.000000ee .  0.88880000 - e-ee 13.74772708 .08888888 72.12489168 .08888 1 12491331 35. 75000000 0.00 110. 24 00000000165 92906 0.00000688 32.74904579 87 ,88000000 8. 88000 0.00000000 . 75068888  .00000000 89889900 ,88888800 00000 .88888888 22.24859546 0.eeeeee 110.12492 906 0.00000880 198.75000000 0.000008 0 . 6eeeee 156 . 12494996 0000eeee 88880 0.00000000 , .000 9.00000000 132.12494887 8 ,88000000 234.75  ,88000000 273 . 75000000 74904579 .0eeeeeee 156 . 12494996 0 . 00eeeee