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  • 【线性代数】MIT Linear Algebra Lecture 2: Elimination with matrices


    fb078286420893a209ce978db908fa3b-1
    Author| Rickyの水果摊

    Time | 2022.9.1


    Lecture 2: Elimination with matrices

    Lecture Info
    1. Instructor: Prof. Gilbert Strang
    2. Course Number: 18.06
    3. Topics: Linear Algebra
    4. Official Lecture Resource: Resource Index of Linear Algebra
    Excellent Notes on GitHub

    There are some classic, excellent notes from other authors on GitHub, wihch I highly recommend you to star ⭐️ and read 📖

    notes-linear-algebra (A systematic notes written in Chinese)

    The-Art-of-Linear-Algebra (Focus on visualization of important concept of Linear Algebra)

    Video Link

    Lecture 2: Elimination with matrices (bilibili)

    Lecture 2: Elimination with matrices (YouTube)

    Key Points
    1. normal form of elimination

    2. prerequisites of matrix language

    3. matrix form of elimination

    4. elementary / elimination matrix

    5. permutation matrix

    Active Recall Questions
    1. How to do row elimination on matrix A A A ?
    2. What are the differences between A ∗ V c o l A*V_{col} A∗Vcol​ & V r o w ∗ A V_{row} * A Vrow​∗A ? (Hint: Draw figures of their results)
    3. Describe the process of elimination in matrix language with 1 formula. ❗️(Hint: A = > U A=>U A=>U)
    4. What’s the relationship between elementary matrices and permutation matrices ?
    5. Given A 3 ∗ 3 A_{3*3} A3∗3​, how to construct the elementary/elimination & permutation matrix below ?
      1. subtract row 1 from row 2 to eliminate A 21 A_{21} A21​
      2. exchange r o w 1 , r o w 2 row_1,row_2 row1​,row2​ of A A A
    Answer
    1. Omitted

    2. Figures below are from kenjihiranabe 's excellent repository The-Art-of-Linear-Algebra (Which I highly recommend you to star ⭐️)

      1. A ∗ V c o l = V n e w c o l A*V_{col}=V_{newcol} A∗Vcol​=Vnewcol​

        image-20220901092826893

      2. V r o w ∗ A = V n e w r o w V_{row}*A=V_{newrow} Vrow​∗A=Vnewrow​ (This is the prerequisite of matrix language of doing elimination❗️)

        image-20220901092636060

    3. E m ∗ n E i j … E 31 E 21 A = U E_{m*n}E{ij}\dots E_{31}E_{21}A=U Em∗n​Eij…E31​E21​A=U or E f i n a l ∗ A = U E_{final}*A=U Efinal​∗A=U

    4. When elementary matrices are used to switch the position of rows of a matrix, we use term “permutation matrix” more than elementary matrix

    5. elementary matrices comes from Identity matrix I I I

      1. E 21 = [ 1 0 0 − 1 1 0 0 0 1 ] E_{21} =
        [100−110001]" role="presentation" style="position: relative;">⎡⎣⎢1−10010001⎤⎦⎥[100−110001]
        E21​=⎣ ⎡​1−10​010​001​⎦ ⎤​
        (Hint: view this process by V r o w ∗ A V_{row}*A Vrow​∗A)
      2. P 21 = [ 0 1 0 1 0 0 0 0 1 ] P_{21} =
        [010100001]" role="presentation" style="position: relative;">⎡⎣⎢010100001⎤⎦⎥[010100001]
        P21​=⎣ ⎡​010​100​001​⎦ ⎤​
        (Hint: view this process by V r o w ∗ A V_{row}*A Vrow​∗A)
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  • 原文地址:https://blog.csdn.net/qq_46025844/article/details/126637483
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