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  • Perplex
    IB Math AIHL
    /
    Matrices
    /

    Foundations of Matrices

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    Exercises

    Key Skills

    Foundations of Matrices

    Foundations of Matrices

    Introduction to the concept of matrices, their properties, and basic matrix operations.

    Want a deeper conceptual understanding? Try our interactive lesson!

    Exercises

    No exercises available for this concept.

    Practice exam-style foundations of matrices problems

    Key Skills

    Matrix notation
    AHL AI 1.14

    A matrix is simply a rectangular array of numbers written in rows and columns. For example, the matrix

    <ul>
<li>A purple rectangular array enclosed in round brackets with two horizontal rows of three entries each.</li>
<li>Left-side labels: “row 1” aligned with the top row and “row 2” aligned with the bottom row.</li>
<li>Slanted labels above the array: “col1”, “col2”, “col3” positioned over the first, second, and third columns.</li>
<li>Entries:
<ul>
<li>Top row: 1, a, π</li>
<li>Bottom row: x, −5, 0</li>
</ul>
</li>
<li>Variables (a, x) and symbols (π) are in the same purple color as the numbers and labels.</li>
</ul>

    has ​2​ rows and ​3​ columns. We can reference a specific entry using the notation ​Mi,j​​ where ​i​ is the row and ​j​ the column. For example, ​M1,3​​ is the first row and thirs column, which is ​π.

    Order of a matrix
    AHL AI 1.14

    The order of a matrix denotes its dimensions. We say a matrix has order ​n×m​ (read "​n​ by ​m​") to denote that it has ​n​ rows and ​m​ columns. For example, the matrix

    <ul>
<li>A 2-by-3 matrix written with round parentheses, containing six lowercase entries arranged as:
<ul>
<li>First row: a, b, c</li>
<li>Second row: d, e, f</li>
</ul>
</li>
<li>A curly brace above spans the three columns and is labeled “3 columns.”</li>
<li>A curly brace to the right spans the two rows and is labeled “2 rows.”</li>
<li>All elements, braces, and labels are in purple.</li>
</ul>

    has order ​2×3.

    Adding & subtracting matrices
    AHL AI 1.14

    When matrices have the same order ​m×n, we can add or subtract them by simply adding or subtracting the components:

    ​
    (13​24​)+(57​68​)=(1+53+7​2+64+8​)=(610​812​)
    ​
    Scalar multiplication of a matrix
    AHL AI 1.14

    We can multiply a matrix by a scalar by simply multiplying each entry by a scalar:

    ​
    2(13​24​)=(2×12×3​2×22×4​)=(26​48​)
    ​
    Matrix multiplication
    AHL AI 1.14

    If ​A​ has order ​m×n​ and ​B​ has order ​n×p, then the product ​AB​ is defined and will have order ​m×p.

    <ul>
<li>A typographic expression: (m × n)(n × p) → (m × p).</li>
<li>The n in the first parenthesis is outlined with a purple rectangle.</li>
<li>Two large purple curved arrows sweep around the expression: one above and one below, both curving from the left side toward the right side near the arrow pointing to (m × p).</li>
</ul>

    Each entry of ​AB​ is the dot product of a row of ​A​ with a column of ​B.

    For example, if we multiply a ​2×2​ matrix ​A​ by a ​2×3​ matrix ​B, the product will be ​2×3:

    ​
    (13​24​)(58​69​710​)  ​=(1⋅5+2⋅83⋅5+4⋅8​1⋅6+2⋅93⋅6+4⋅9​1⋅7+2⋅103⋅7+4⋅10​) =(2147​2454​2761​)​
    ​
    Matrix multiplication is not commutative
    AHL AI 1.14

    In general, for matrices ​A​ and ​B,

    ​
    AB=BA
    ​

    Note: this does not mean ​AB​ is never equal to ​BA, just that it is not in general.

    Matrix multiplication is associative
    AHL AI 1.14

    For all matrices ​A,B​ and ​C, it is true that

    ​
    A(BC)=(AB)C
    ​
    Matrix multiplication is distributive
    AHL AI 1.14

    For all matrices ​A,B​ and ​C, it is true that

    ​
    A(B+C)=AB+AC
    ​
    Zero Matrix
    AHL AI 1.14

    A matrix with all ​0​ entries is called the "zero" matrix, regardless of order. We denote it ​0.

    ​
    0=(00​00​00​)
    ​
    Matrix math with technology
    AHL AI 1.14

    When you have matrices with only numbers and no parameters (eg ​k​), you can add, multiply, and find powers of matrices using your calculator.