🔷12 - Rank and Nullity of a given Matrix (Row Echelon Form)

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  • Опубліковано 19 жов 2024

КОМЕНТАРІ • 58

  • @rashidissa5887
    @rashidissa5887 7 місяців тому +11

    I'm a new student in matrices but can find determant and values of the unknowns in a linear equation. But this lesson is beyond my compression. Perhaps my age? I'm 79 and did my O-Level in 1967 Cambridge. But I still can't keep distant from maths.Comming across such tutors makes me even more crazy on the subject. Greetings from Zanzibar

    • @SkanCityAcademy_SirJohn
      @SkanCityAcademy_SirJohn  7 місяців тому +3

      Wow. I'm really impressed. I'm short of words. You have really encouraged me so much. Thanks so much

    • @SkanCityAcademy_SirJohn
      @SkanCityAcademy_SirJohn  4 місяці тому

      @@petermarcus6475 no please, English

    • @petermarcus6475
      @petermarcus6475 4 місяці тому +1

      @@SkanCityAcademy_SirJohn I really appreciate your work tomorrow I have my final and with this clear explanation I really understood very fast thanks and may God bless you.Just got a new subscriber

    • @SkanCityAcademy_SirJohn
      @SkanCityAcademy_SirJohn  4 місяці тому

      @petermarcus6475 aww thanks so much and good luck.
      Where do you watch me from?

    • @petermarcus6475
      @petermarcus6475 4 місяці тому +1

      @@SkanCityAcademy_SirJohn am in Cyprus but I am a Tanzanian 🇹🇿

  • @ENOCK-t5u
    @ENOCK-t5u 15 днів тому +2

    We appreciate your service

  • @BabatopeFagbenle-rk6jy
    @BabatopeFagbenle-rk6jy 3 місяці тому +2

    You are clear as my heaven. Good job gauss and Jordan will be proud of you.

  • @rhe7187
    @rhe7187 Рік тому +3

    That's the best video I got on this topic

  • @davidbanahene307
    @davidbanahene307 2 роки тому +3

    Awesome. Great job so much clarity

  • @OriaPlay
    @OriaPlay 2 роки тому +4

    Marvelous work! U have really worked on your camera. Kudos 💯

  • @malekahlologelo5316
    @malekahlologelo5316 Рік тому +5

    Why do u leave your Row Echelon Forms incomplete? You still perform the row operations to simplify further.

    • @SkanCityAcademy_SirJohn
      @SkanCityAcademy_SirJohn  Рік тому +4

      Incomplete in which way, kindly come again with your question, there is a difference between row echelon form and reduced row echelon form. Kindly note the difference. The idea is to produce the echelon form of the matrix and to count the number of non-zero rows, that gives the rank

  • @menglishspeaking2405
    @menglishspeaking2405 Рік тому +6

    For sure you know how to deliver a lesson, explain kernel and image of transformations

  • @rahmandesigns
    @rahmandesigns 2 роки тому +5

    Please teach how to find eigen values of 3x3 matrix

    • @SkanCityAcademy_SirJohn
      @SkanCityAcademy_SirJohn  2 роки тому +3

      Okay

    • @menglishspeaking2405
      @menglishspeaking2405 Рік тому +1

      I love your teaching you are good at , best guider . facilitator ,good motivators,you have unique methodology of teaching.just keep it up help us to find kernel image and dimensions

    • @SkanCityAcademy_SirJohn
      @SkanCityAcademy_SirJohn  Рік тому +1

      Thank you so much. Enjoy your stay on the channel

  • @ChikweJecinta
    @ChikweJecinta 2 роки тому +2

    You just save a life 😌
    Thanks

  • @BlunT402
    @BlunT402 Рік тому +2

    Very helpful 👍

  • @BetyBaysa
    @BetyBaysa Місяць тому +2

    Nice

  • @tirupatichitralekha7488
    @tirupatichitralekha7488 Рік тому +1

    Really superb sir

  • @tluangainfimate4421
    @tluangainfimate4421 Рік тому +2

    You said all the diagonal element should be 1 and at the end the last one is zero please explain sir?

    • @SkanCityAcademy_SirJohn
      @SkanCityAcademy_SirJohn  Рік тому +2

      Yes, I said that, and also said that if the is a row that has all zeros, it should be at the bottom of the matrix

  • @habeebsalaudeen
    @habeebsalaudeen 2 місяці тому +1

    What if the matrices with linear dependence are not the same?

    • @SkanCityAcademy_SirJohn
      @SkanCityAcademy_SirJohn  2 місяці тому +1

      Actually the linear dependent rows will not be the same, the values will be different, but then it will be a scalar multiple of another row in the same matrix.

  • @ADendane
    @ADendane 2 роки тому +1

    Thank you.

  • @bonyevitus8979
    @bonyevitus8979 Рік тому +1

    U just save a life.. I owes u so much in dis semester else it would be 🔥😂

  • @oulafatla8686
    @oulafatla8686 10 місяців тому +1

    what is linearly independent rows/columns?

    • @SkanCityAcademy_SirJohn
      @SkanCityAcademy_SirJohn  10 місяців тому +2

      Linearly independent row or column is a row or column whose elements are not a constant multiple of another row or column.
      Eg if column 1 has = 1, 2, 3
      Column 2 = 5, 10, 15 and
      Column 3 = 5, 9, 13.
      C2 is a linearly dependent on c1, because it is formed by 5*C1
      But C3 is linearly independent on C1

  • @peace75084
    @peace75084 Рік тому +2

    why are there only 1 linear combination of rows?? there is C2 =2C1 and also C3 = 2C2..so there are 2??

    • @SkanCityAcademy_SirJohn
      @SkanCityAcademy_SirJohn  Рік тому +1

      The reason being that for
      1. Rows: the two rows depend on each other R1 = 1/2 of R2 and
      R2 = 2 of R1. Since both rows can be written as a linear combination, the max no of linearly independent rows is 1.
      Column: the three columns depend on themselves
      C1 = 1/2 of C2, = 1/4 of C3 and so on,
      Since the three columns can be written as a linear combination of the other, the max no of linearly independent columns is one.

    • @peace75084
      @peace75084 Рік тому +1

      @@SkanCityAcademy_SirJohn 👍

  • @tamilmahi8744
    @tamilmahi8744 Рік тому +1

    Super

  • @kalpanamaths9645
    @kalpanamaths9645 5 місяців тому +1

    Is n mention only columns

  • @chisomomkwanda8161
    @chisomomkwanda8161 2 роки тому +2

    Let me subscribe.

  • @asaredurowaadoris195
    @asaredurowaadoris195 Рік тому +1

    Pls it at the end of doing the row echelon you get something like
    1 -2 6
    0 0 0
    0 0 0
    Pls wat will be the rank