The Coordinates (or Weights) of a Vector

The coordinates (or weights) of a vector v relative to a basis B are the scalar coefficients a1,...,an of the linear combination that uniquely determines the vector in the vector space.

The Definition

Given a basis B consisting of a finite number of elements from the vector space V in the field K, for every vector in v, there exists a unique set of scalar coefficients a1,...,an (referred to as coordinates or weights) such that v = a1 v1 + ... + an vn.

The scalars a1,...,an are referred to as coordinates only when a vector is defined by a unique linear combination.

Hence, once a basis is chosen, any vector is defined by a unique linear combination of scalar numbers (coordinates).

v = a1 v1 + ... + an vn

    Examples and Exercises on Vector Coordinates

    Example 1

    Consider a vector space V = R2 in the field R, where every vector can be represented using the canonical basis.

    $$ v_1 = (1,0) $$ $$ v_2 = (0,1) $$

    Therefore

    $$ B = \{ v_1 = (1,0), v_2 = (0,1) \} $$

    Let's represent an arbitrary vector of the vector space, for instance, vector v = (4, 2).

    The linear combination of vector v is as follows:

    $$ (x,y) = a_1 v_1 + a_2 v_2 $$

    $$ (4,2) = a_1 (1,0) + a_2 (0,1) $$

    $$ (4,2) = (a_1,0) + (0,a_2) $$

    $$ (4,2) = (a_1,a_2) $$

    which means

    $$ \begin{cases} a_1 = 4 \\ a_2 = 2 \end{cases} $$

    The coordinates of vector v = (4,2) using the canonical basis are a1=4 and a2=2.

    Verification

    $$ (x,y) = a_1 v_1 + a_2 v_2 $$

    $$ (4,2) = a_1 (1,0) + a_2 (0,1) $$

    $$ (4,2) = 4 (1,0) + 2 (0,1) $$

    $$ (4,2) = (4,0) + (0,2) $$

    $$ (4,2) = (4+0,0+2) = (4,2) $$

    Note. These coordinates are unique. Thus, vector v can only be represented using the basis B with the coefficients a1=4 and a2=2.

    Example 2

    Now, let's represent the same vector v=(4,2) using a different basis B2 in the vector space V.

    $$ B_2 = \{ v_1 = (1,1), v_2 = (2,1) \} $$

    The linear combination of vector v=(4,2) with the basis B2 is as follows:

    $$ (x,y) = a_1 v_1 + a_2 v_2 $$

    $$ (4,2) = a_1 (1,1) + a_2 (2,1) $$

    $$ (4,2) = (a_1,a_1) + (2a_2,a_2) $$

    $$ (4,2) = (a_1 + 2a_2,a_1 + a_2) $$

    which means

    $$ \begin{cases} a_1 + 2a_2 = 4 \\ a_1 + a_2 = 2 \end{cases} $$

    To find the coordinates of the vector, we must solve the system.

    $$ \begin{cases} a_1 + 2a_2 = 4 \\ a_1 = 2 - a_2 \end{cases} $$

    $$ \begin{cases} (2 - a_2) + 2a_2 = 4 \\ a_1 = 2 - a_2 \end{cases} $$

    $$ \begin{cases} a_2 = 4-2 = 2 \\ a_1 = 2 - a_2 \end{cases} $$

    $$ \begin{cases} a_2 = 2 \\ a_1 = 2 - (2) = 0 \end{cases} $$

    $$ \begin{cases} a_2 = 2 \\ a_1 = 0 \end{cases} $$

    The coordinates of vector v = (4,2) using the basis B2 are a1=0 and a2=2.

    Verification

    $$ (x,y) = a_1 v_1 + a_2 v_2 $$

    $$ (4,2) = a_1 (1,1) + a_2 (2,1) $$

    $$ (4,2) = 0 (1,1) + 2 (2,1) $$

    $$ (4,2) = (0,0) + (4,2) $$

    $$ (4,2) = (0+4,0+2) = (4,2) $$

    Note. These coordinates are unique. Hence, vector v can be represented using the basis B2 only with the coefficients a1=0 and a2=2.

    In conclusion, to represent the same vector v=(4,2) with the basis B2, different scalar coefficients (coordinates) are used compared to the canonical basis or any other basis of the vector space.

    And so on.

     
     

    Please feel free to point out any errors or typos, or share suggestions to improve these notes. English isn't my first language, so if you notice any mistakes, let me know, and I'll be sure to fix them.

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