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If a and b are two non-zero and non-coll...

If a and b are two non-zero and non-collinear vectors then a+b and a-b are

A

linearly dependent vectors

B

linearly independent vectors

C

linearly dependent annd independent vectors

D

none of these

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To solve the problem, we need to determine the relationship between the vectors \( \mathbf{a} + \mathbf{b} \) and \( \mathbf{a} - \mathbf{b} \) given that \( \mathbf{a} \) and \( \mathbf{b} \) are two non-zero and non-collinear vectors. ### Step-by-step Solution: 1. **Understanding Non-collinearity**: Since \( \mathbf{a} \) and \( \mathbf{b} \) are non-collinear, it means that they do not lie on the same line. This implies that there are no scalar multiples \( k \) such that \( \mathbf{a} = k \mathbf{b} \) for any scalar \( k \). 2. **Linear Independence of \( \mathbf{a} \) and \( \mathbf{b} \)**: The fact that \( \mathbf{a} \) and \( \mathbf{b} \) are non-zero and non-collinear means they are linearly independent. This can be expressed mathematically as: \[ x_1 \mathbf{a} + x_2 \mathbf{b} = \mathbf{0} \implies x_1 = 0 \text{ and } x_2 = 0 \] for any scalars \( x_1 \) and \( x_2 \). 3. **Expressing \( \mathbf{a} + \mathbf{b} \) and \( \mathbf{a} - \mathbf{b} \)**: Now, we consider the vectors \( \mathbf{a} + \mathbf{b} \) and \( \mathbf{a} - \mathbf{b} \). We want to check if these two vectors are linearly independent. 4. **Setting Up the Equation**: We set up the equation: \[ x_1 (\mathbf{a} + \mathbf{b}) + x_2 (\mathbf{a} - \mathbf{b}) = \mathbf{0} \] Expanding this gives: \[ x_1 \mathbf{a} + x_1 \mathbf{b} + x_2 \mathbf{a} - x_2 \mathbf{b} = \mathbf{0} \] This simplifies to: \[ (x_1 + x_2) \mathbf{a} + (x_1 - x_2) \mathbf{b} = \mathbf{0} \] 5. **Analyzing the Coefficients**: For the above equation to hold true, both coefficients must equal zero: \[ x_1 + x_2 = 0 \quad \text{(1)} \] \[ x_1 - x_2 = 0 \quad \text{(2)} \] 6. **Solving the System of Equations**: From equation (2), we have \( x_1 = x_2 \). Substituting this into equation (1): \[ x_1 + x_1 = 0 \implies 2x_1 = 0 \implies x_1 = 0 \] Thus, \( x_2 = 0 \) as well. 7. **Conclusion**: Since the only solution to the equation is \( x_1 = 0 \) and \( x_2 = 0 \), the vectors \( \mathbf{a} + \mathbf{b} \) and \( \mathbf{a} - \mathbf{b} \) are linearly independent. ### Final Answer: The vectors \( \mathbf{a} + \mathbf{b} \) and \( \mathbf{a} - \mathbf{b} \) are linearly independent. ---

To solve the problem, we need to determine the relationship between the vectors \( \mathbf{a} + \mathbf{b} \) and \( \mathbf{a} - \mathbf{b} \) given that \( \mathbf{a} \) and \( \mathbf{b} \) are two non-zero and non-collinear vectors. ### Step-by-step Solution: 1. **Understanding Non-collinearity**: Since \( \mathbf{a} \) and \( \mathbf{b} \) are non-collinear, it means that they do not lie on the same line. This implies that there are no scalar multiples \( k \) such that \( \mathbf{a} = k \mathbf{b} \) for any scalar \( k \). 2. **Linear Independence of \( \mathbf{a} \) and \( \mathbf{b} \)**: ...
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ARIHANT MATHS ENGLISH-VECTOR ALGEBRA-Exercise (Single Option Correct Type Questions)
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  13. If vec b is a vector whose initial point divides the join of 5 hat ...

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  15. If veca and vecb are two unit vectors and theta is the angle between t...

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