Spectral Graph Theory I: Introduction to Spectral Graph Theory

Поделиться
HTML-код
  • Опубликовано: 4 сен 2014
  • Luca Trevisan, UC Berkeley
    Algorithmic Spectral Graph Theory Boot Camp
    simons.berkeley.edu/talks/luca...

Комментарии • 13

  • @zacharysmith4508
    @zacharysmith4508 3 года назад +5

    Every time I see this lecture hall I know it's going to be a great presentation.

  • @bennettgarcia8728
    @bennettgarcia8728 3 месяца назад

    Amazing lecture!

  • @colinfera433
    @colinfera433 7 лет назад +1

    very good lecture. Easy to understand even with minimal graph theory background

  • @ijuhi
    @ijuhi 7 лет назад +1

    very well prepared lecture. i'm close to completing my first course in graph theory and investigating spectral graph theory looks like a fascinating next step to take.

  • @mushtaqahmadbhat2036
    @mushtaqahmadbhat2036 8 лет назад

    Nice Lecture.

  • @arnabd88
    @arnabd88 7 лет назад +1

    at 38.50, the relation written at the top is not visible.
    Will it be possible for someone to mention it as a note.
    Thanks

    • @AntonCherniavskyi
      @AntonCherniavskyi 7 лет назад +10

      (xu-xv)^2 = xu^2 -2xuxv +xv^2 = 2(xu^2+xv^2) - (xu+xv)^2
      Each vertex is incident to d edges, so:
      sum_over_edges|xu-xv|^2 = 2d sum_over_vertices(xv^2) - sum_over_edges(xu+xv)^2

  • @andreluisal
    @andreluisal 2 года назад

    Excellent!!!

  • @pawebielinski4903
    @pawebielinski4903 8 месяцев назад

    Is it true that the multiplicity of 2 as an eigenvector is equal to the number of bipartite components? Seems plausible, I guess?

  • @daehankim2437
    @daehankim2437 5 лет назад +1

    Anyone knows what maxcot(G) is? There's no explanation on this...

  • @PikesCore24
    @PikesCore24 Год назад

    Is that a cell phone ringing?