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Prove some properties about the vectors i, i+j in R2

Let S = \{ \mathbf{i}, \mathbf{i} + \mathbf{j} \}, where \mathbf{i} = (1,0) and \mathbf{j} = (0,1) are the unit coordinate vectors in \mathbb{R}^2.

  1. Prove that S is linearly independent.
  2. Prove that \mathbf{j} is in the span of S.
  3. Express 3 \mathbf{i} - 4 \mathbf{j} as a linear combination of the vectors in S.
  4. Prove that L(S) = \mathbb{R}^2.

  1. Proof. We have

        \[ x \mathbf{i} + y (\mathbf{i} + \mathbf{j}) = 0 \quad \implies \quad x+y = 0 \quad \text{and} \quad y= 0. \]

    But then, y =0 implies x = 0. Hence, x = y= 0. \qquad \blacksquare

  2. Proof. Let x = -1 and y = 1. Then,

        \[ x \mathbf{i} + y (\mathbf{i} + \mathbf{j}) = (-1,0) + (1,1) = (0,1) = \mathbf{j}. \qquad \blacksquare\]

  3. We have 3 \mathbf{i} - 4 \mathbf{j} = (3,-4). Then,

        \[ (3,-4) = x \mathbf{i} + y (\mathbf{i} + \mathbf{j}) \quad \implies \quad x+y = 3, \quad y = -4. \]

    Thus, x = 7 and y = -4 is a solution.

  4. Proof. Since \mathbf{i} and \mathbf{i} + \mathbf{j} are two linearly independent vectors in \mathbb{R}^2 we have by Theorem 12.10 (page 466 of Apostol) that L(S) = \mathbb{R}^2. \qquad \blacksquare

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