Diagonalizing 3x3 Matrix - Full Process [Passing Linear Algebra]

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  • เผยแพร่เมื่อ 25 ก.ค. 2024
  • Important high-level asides:
    1) 3:07 (remember, 1 ≤ geo mult ≤ alg mult, so since λ=1 has alg mult of 1, it's geo mult is automatically 1)
    2) 6:15 (the point where we find out A is diagonalizable)
    Finding Eigenvalues: 0:40
    Finding Basis for Eigenspaces: 4:20
    Putting it all together: 10:06

ความคิดเห็น • 60

  • @trapitusaventurez2190
    @trapitusaventurez2190 4 ปีที่แล้ว +135

    oof this exam tomorrow ain't looking too good.

    • @trapitusaventurez2190
      @trapitusaventurez2190 4 ปีที่แล้ว +8

      knew how to do the full process of diagonalization, but got stuck before I could find the eigen values, because I couldn't factorize x^3-*x^2+21x-6 great:-)

    • @JacobEriksson
      @JacobEriksson 3 ปีที่แล้ว

      Aye same here man

    • @prey_ssbm
      @prey_ssbm 3 ปีที่แล้ว +1

      @@trapitusaventurez2190 I don't think that can be factorized. At least Symbolab can't do it.

    • @alfredpeter2404
      @alfredpeter2404 3 ปีที่แล้ว

      I'm in the EXACT SAME situation, except I'm trying to figure out what happens at 7:10

    • @nourhh_
      @nourhh_ 3 ปีที่แล้ว

      @@alfredpeter2404 SAME😭

  • @jamesjanzen2604
    @jamesjanzen2604 4 ปีที่แล้ว +42

    Man, wish I'd found this earlier into the semester, but these are still amazing videos. The style in this one, at least, is absolutely perfect: Explaining everything, still moving fast enough to stay interesting, making everything super clear without getting monotonous. So good.

  • @Splashingrandom
    @Splashingrandom 5 ปีที่แล้ว +6

    This is fantastic, loving your series. Thanks!!!

  • @kyew5173
    @kyew5173 4 ปีที่แล้ว +16

    Bruh u really saving lives out here

  • @wilsongray4316
    @wilsongray4316 4 ปีที่แล้ว +4

    Of all the videos about diagonalization, yours was the best to follow....thank you

  • @scooterking136
    @scooterking136 4 ปีที่แล้ว +2

    love this video, thank you! very helpful and you have a sense of humor

  • @great9640
    @great9640 2 ปีที่แล้ว +2

    you helped me so much lol, a concept that seemed so difficult ended up being: using 3 eigenvectors to make a new matrix. thanks you so much sir. till this day we appreciate your content!

  • @safaebee2885
    @safaebee2885 2 ปีที่แล้ว +1

    thank you so much. you're really helping me through first year engineering.

  • @Commenter839
    @Commenter839 3 ปีที่แล้ว

    This channel actually slaps though, I appreciate how you get straight to the point on these videos. Sometimes I'm not looking for theory and I just want to see some calculations lol

  • @jwliao6973
    @jwliao6973 ปีที่แล้ว

    I don't know how I can express my gratitude to you. By far best explanation I've ever seen.❤❤❤❤

  • @mika2666
    @mika2666 4 ปีที่แล้ว

    Ok this is exactly what I needed thank you so much!

  • @nourjandali
    @nourjandali 5 ปีที่แล้ว +1

    That was awesome explanation. Thanks!

  • @danielkim3525
    @danielkim3525 3 ปีที่แล้ว +3

    Thank you kind sir. You helped me greatly with my homework.

  • @alishashoukat1682
    @alishashoukat1682 ปีที่แล้ว

    Ohh man you nailed it!! Amazing 🎉

  • @khojanemoses9570
    @khojanemoses9570 4 ปีที่แล้ว +2

    This tutorial video is wonderful.

  • @chestnutbaal3566
    @chestnutbaal3566 ปีที่แล้ว +1

    thank you i was kinda lost but you helped me grasp the topic

  • @gilthunder1737
    @gilthunder1737 3 ปีที่แล้ว

    Very helpful sir thanks alot for explaining in such a simple words 😭❤️🌸🌹✨✨

  • @andrii5054
    @andrii5054 5 ปีที่แล้ว +2

    very helpful, thanks

  • @prey_ssbm
    @prey_ssbm 3 ปีที่แล้ว +3

    idk why but I found the "see what im saying" at 0:10 mad funny lmao

  • @prey_ssbm
    @prey_ssbm 3 ปีที่แล้ว +1

    Thanks a lot!

  • @arsenal100100
    @arsenal100100 2 ปีที่แล้ว

    Thank you! You have no idea how much you've helped me

  • @SosukeAizen9543
    @SosukeAizen9543 3 ปีที่แล้ว

    awesome thanks a lot
    you really helped unlike those of my deadbeat university teachers

  • @aidanpitt5240
    @aidanpitt5240 2 ปีที่แล้ว

    You good sir are a king

  • @kktk9707
    @kktk9707 7 หลายเดือนก่อน

    Thanks a lot, Sir.
    I'm self-learning at home.
    Your video is helping me for my exam.
    🙏🙏🙏🙏

  • @jayrocapela
    @jayrocapela 5 ปีที่แล้ว

    Thanks Tom Holand!

  • @nomtomm
    @nomtomm 3 ปีที่แล้ว +4

    SAVING ENGINEERING LIVES

  • @MentalDog2601
    @MentalDog2601 3 ปีที่แล้ว

    Thank you sir👍

  • @ngonidzashekimbini7177
    @ngonidzashekimbini7177 3 ปีที่แล้ว

    Thanks mate

  • @cristhianangelocalderoncor3340
    @cristhianangelocalderoncor3340 3 ปีที่แล้ว +1

    don't have to normalize eigenvectors before constructing the matrix C?

  • @pisanghangus2
    @pisanghangus2 3 ปีที่แล้ว

    thank u !

  • @theonewhoknocks860
    @theonewhoknocks860 2 ปีที่แล้ว

    thank you

  • @1dred
    @1dred 5 ปีที่แล้ว +1

    nice :)

  • @bradywreed2725
    @bradywreed2725 2 ปีที่แล้ว +3

    When finding the eigenvalue you found your characteristic polynomial to be (2-lambda)(lambda-2)(lambda-1). Wouldn't that make your eigenvalues -2,1, and 2? And then because your eigenvalues are equal to your eigenvectors wouldn't that make the matrix diagonalizable?

    • @bayleaf2383
      @bayleaf2383 ปีที่แล้ว +1

      i realize this is probably late for u but I don't want anyone seeing this in the future to be confused, but in lambda - 2 = 0 and 2 - lambda = 0, they'd both be 2, think u just made an algebraic mistake.

  • @joeyjoe8023
    @joeyjoe8023 3 ปีที่แล้ว

    I don't the part where you jumped the steps in finding the linear independence

  • @rinr3300
    @rinr3300 6 หลายเดือนก่อน

    I didn't get the row reduction r3+r1 and?

  • @deli5777
    @deli5777 11 หลายเดือนก่อน +1

    supposed to be PDP, c is used for constants haha. nice video though

  • @crazygur1y
    @crazygur1y ปีที่แล้ว

    tysm

  • @sushree4018
    @sushree4018 4 ปีที่แล้ว

    Why to take 2-lamda ? I mean why the 2nd row

    • @stemsupport3645
      @stemsupport3645  4 ปีที่แล้ว

      I'm assuming you're referring to 1:45 when taking the determinant. I cofactor expanded along the 2nd row, because that row has only one nonzero entry, making the cofactor expansion relatively easy. Check out this video on cofactor expansion if you still have doubts: th-cam.com/video/_75SbA6WKfs/w-d-xo.html

  • @priskon5950
    @priskon5950 3 ปีที่แล้ว +1

    I think you skipped many steps, like I dont understand how we find that x3(-1,0,1) at 9:45

  • @justgaming4336
    @justgaming4336 29 วันที่ผ่านมา

    Exam in 15 min

  • @azrmuradl6420
    @azrmuradl6420 ปีที่แล้ว

    səviyyəəəə

  • @kamilisaintleger8346
    @kamilisaintleger8346 3 หลายเดือนก่อน +1

    You’re helping me like 2 hours before this exam. 🥹 I’m not religious but you are an angel