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21.3: Lots of Things Can Be Vector Spaces

  • Page ID
    68031
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    from IPython.display import YouTubeVideo
    YouTubeVideo("YmGWj9RrNMI",width=640,height=360, cc_load_policy=True)

    Consider the following two matrices \(A \in R^{3 \times 3}\) and \( B \in R^{3 \times 3} \), which consist of real numbers:

    %matplotlib inline
    import matplotlib.pylab as plt
    import numpy as np
    import sympy as sym
    sym.init_printing()
    
    a11,a12,a13,a21,a22,a23,a31,a32,a33 = sym.symbols('a_{11},a_{12}, a_{13},a_{21},a_{22},a_{23},a_{31},a_{32},a_{33}', negative=False)
    A = sym.Matrix([[a11,a12,a13],[a21,a22,a23],[a31,a32,a33]])
    A
    b11,b12,b13,b21,b22,b23,b31,b32,b33 = sym.symbols('b_{11},b_{12}, b_{13},b_{21},b_{22},b_{23},b_{31},b_{32},b_{33}', negative=False)
    B = sym.Matrix([[b11,b12,b13],[b21,b22,b23],[b31,b32,b33]])
    B
    Question

    What properties do we need to show all \(3 \times 3\) matrices of real numbers form a vector space.

    Do This

    Demonstrate these properties using sympy as was done in the video.

    #Put your answer here. 
    Question (assignment specific)

    Determine whether \(A\) is a linear combination of \(B\), \(C\), and \(D\)?

    \[\begin{split} A=
    \left[
    \begin{matrix}
    7 & 6 \\
    -5 & -3
    \end{matrix}
    \right],
    B=
    \left[
    \begin{matrix}
    3 & 0 \\
    1 & 1
    \end{matrix}
    \right],
    C=
    \left[
    \begin{matrix}
    0 & 1 \\
    3 & 4
    \end{matrix}
    \right],
    D=
    \left[
    \begin{matrix}
    1 & 2 \\
    0 & 1
    \end{matrix}
    \right]
    \end{split} \nonumber \]

    #Put your answer to the above question here
    Question

    Write a basis for all \(2 \times 3\) matrices and give the dimension of the space.


    This page titled 21.3: Lots of Things Can Be Vector Spaces is shared under a CC BY-NC 4.0 license and was authored, remixed, and/or curated by Dirk Colbry via source content that was edited to the style and standards of the LibreTexts platform.

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