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Show that (1, 0), (i, 0) ∈ C2 are linearly independent over R and linearly dependentover C

Question

Show that (1, 0), (i, 0) ∈ C2 are linearly independent over R and linearly dependentover C

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Solution

To show that the vectors (1, 0) and (i, 0) are linearly independent over R, we need to show that there are no real numbers a and b such that a*(1, 0) + b*(i, 0) = (0, 0).

If we set up the equation a*(1, 0) + b*(i, 0) = (0, 0), we get:

(a, 0) + (bi, 0) = (0, 0)

This simplifies to:

(a + bi, 0) = (0, 0)

For this equation to hold, both a and b must be zero. Therefore, the vectors (1, 0) and (i, 0) are linearly independent over R.

To show that the vectors (1, 0) and (i, 0) are linearly dependent over C, we need to show that there are complex numbers a and b such that a*(1, 0) + b*(i, 0) = (0, 0).

If we set up the equation a*(1, 0) + b*(i, 0) = (0, 0), we get:

(a, 0) + (bi, 0) = (0, 0)

This simplifies to:

(a + bi, 0) = (0, 0)

In this case, we can choose a = 0 and b = 1. Therefore, the vectors (1, 0) and (i, 0) are linearly dependent over C.

This problem has been solved

Similar Questions

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To determine if the vectors \( u \), \( v \), and \( w \) are linearly dependent, we need to check if there exists a non-trivial linear combination of these vectors that equals the zero vector. In other words, we need to find scalars \( a \), \( b \), and \( c \) (not all zero) such that: \[ a \cdot u + b \cdot v + c \cdot w = 0 \] Given vectors: \[ u = \begin{pmatrix} 1 \\ 1 \end{pmatrix}, \quad v = \begin{pmatrix} 2 \\ -1 \end{pmatrix}, \quad w = \begin{pmatrix} -5 \\ 1 \end{pmatrix} \] We have already found that \( w \) can be written as a linear combination of \( u \) and \( v \) with specific scalars \( a = -1 \) and \( b = -2 \): \[ w = -1 \cdot u - 2 \cdot v \] This equation shows that there is a non-trivial linear combination of \( u \), \( v \), and \( w \) that equals the zero vector: \[ -1 \cdot u - 2 \cdot v + 1 \cdot w = 0 \] Since we have found a non-trivial solution where the scalars are not all zero, the vectors \( u \), \( v \), and \( w \) are linearly dependent. The fact that \( w \) can be expressed as a linear combination of \( u \) and \( v \) is sufficient to establish their linear dependence.

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3. (a) If X and Y are subsets of a vector space, and either X or Y is linearly dependent, show thatX ∪ Y is linearly dependent. [6 marks](b) Give an example of a vector space V with subsets X and Y , such that X and Y are linearlyindependent, but X ∪ Y is linearly dependent.

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