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Learn · Introduction to Abstract and Linear Algebra

Lecture 38 of 40Week 8 :

Lecture 38 : More on eigen value

Prof. Sourav Mukhopadhyay · IIT Kharagpur

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From
Introduction to Abstract and Linear Algebra, IIT Kharagpur (at NPTEL)
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CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
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NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
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All the lectures

  1. Lecture 01 : Set Theory YouTube
  2. Lecture 02 : Set Operations YouTube
  3. Lecture 03 : Set Operations (contd.) YouTube
  4. Lecture 04 : Set of sets YouTube
  5. Lecture 05 : Binary relation YouTube
  6. Lecture 06 : Equivalence relation YouTube
  7. Lecture 07 : Mapping YouTube
  8. Lecture 08 : Permutation YouTube
  9. Lecture 09 : Binary Composition YouTube
  10. Lecture 10 : Groupoid YouTube
  11. Lecture 11 : Group YouTube
  12. Lecture 12 : Order of an element YouTube
  13. Lecture 13 : Subgroup YouTube
  14. Lecture 14 : Cyclic Group YouTube
  15. Lecture 15 : Subgroup Operations YouTube
  16. Lecture 16 : Left Cosets YouTube
  17. Lecture 17 : Right Cosets YouTube
  18. Lecture 18 : Normal Subgroup YouTube
  19. Lecture 19 : Rings YouTube
  20. Lecture 20 : Field YouTube
  21. Lecture 21 : Vector Spaces YouTube
  22. Lecture 22 : Sub-Spaces YouTube
  23. Lecture 23 : Linear Span YouTube
  24. Lecture 24 : Basis of a Vector Space YouTube
  25. Lecture 25 : Dimension of a Vector space YouTube
  26. Lecture 26 : Complement of subspace YouTube
  27. Lecture 27 : Linear Transformation YouTube
  28. Lecture 28 : Linear Transformation (cont...) YouTube
  29. Lecture 29 : More on linear mapping YouTube
  30. Lecture 30 : Linear Space YouTube
  31. Lecture 31 : Rank of a matrix YouTube
  32. Lecture 32 : Rank of a matrix (cont....) YouTube
  33. Lecture 33 : System of linear equations YouTube
  34. Lecture 34 : Row rank and Column rank YouTube
  35. Lecture 35 : Eigen value of a matrix YouTube
  36. Lecture 36 : Eigen Vector YouTube
  37. Lecture 37 : Geometric multiplicity YouTube
  38. Lecture 38 : More on eigen value YouTube
  39. Lecture 39 : Similar matrices YouTube
  40. Lecture 40 : Diagonalisable YouTube