What is...the Gershgorin circle theorem?

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  • เผยแพร่เมื่อ 20 ธ.ค. 2024

ความคิดเห็น • 14

  • @saffiaayub838
    @saffiaayub838 2 ปีที่แล้ว +2

    Sir can you give me an example to show that converse of pythagorean doesnot holds in case of complex space?

    • @VisualMath
      @VisualMath  2 ปีที่แล้ว

      I do not understand the question, sorry. What does this have to do with Gershgorin circles?

    • @saffiaayub838
      @saffiaayub838 2 ปีที่แล้ว

      @@VisualMath sorry this question is related to functional analysis

    • @VisualMath
      @VisualMath  2 ปีที่แล้ว

      @@saffiaayub838 No worries! But I also can't help you - I do not know!

  • @saffiaayub838
    @saffiaayub838 2 ปีที่แล้ว +2

    Can a greschgorin disc be empty??

    • @VisualMath
      @VisualMath  2 ปีที่แล้ว +1

      No, it can not be zero. The "extreme" case is when you start with a diagonal matrix. In this case all circles have diameter zero, so contain exactly their midpoint = the entry on the associated diagonal. I hope that makes some sense!

    • @saffiaayub838
      @saffiaayub838 2 ปีที่แล้ว

      Alright

    • @VisualMath
      @VisualMath  2 ปีที่แล้ว

      @@saffiaayub838 Welcome!

  • @raba2d723
    @raba2d723 3 ปีที่แล้ว +1

    Thanks for showing me

    • @VisualMath
      @VisualMath  3 ปีที่แล้ว

      Glad that you like the theorem (and maybe the video).
      Gershgorin's circle theorem is one of these theorems where I fall for the hindsight bias: "I could have done that myself!". That is of course not true - hindsight bias. But it illustrates why this theorem is so great: the statement and proof are surprisingly simple and one wonders why no one has done that earlier than the 1930s.
      In short, easy statement, beautiful mathematics.

  • @shafey
    @shafey 3 ปีที่แล้ว +1

    That. Is. Weird.

    • @VisualMath
      @VisualMath  3 ปีที่แล้ว +3

      Yes, it is very surprising. As an heuristic why this is supposed to be true: "Every" matrix is diagonalizable, and for a diagonal matrix the theorem is clear. Now continuously move from the diagonal form to any other incarnation of the matrix. The eigenvalues will stay the same, but the diagonal entries will change and at the same time the off-diagonal ones will change at about the same rate. The theorem describes the worst case how these two changes could differ.

    • @shafey
      @shafey 3 ปีที่แล้ว +1

      @@VisualMath Yes, I was imagining an "almost" diagonal matrix with non-diagonal elements approaching zero as you said.
      The actual computation is still really surprisingly simple!

    • @VisualMath
      @VisualMath  3 ปีที่แล้ว

      @@shafey Yes, I agree: That the theorem and its (not discussed) proof are surprisingly simple is spot on.