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If A and B are Two non -zero vector havi...

If A and B are Two non -zero vector having equal magnitude , the angle between the vector A and A-B is

A

`0^(@)`

B

`90^(@)`

C

`180^(@)`

D

dependent on the orientation o fA and B

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To solve the problem of finding the angle between the vector \( \mathbf{A} \) and \( \mathbf{A} - \mathbf{B} \), given that \( \mathbf{A} \) and \( \mathbf{B} \) are two non-zero vectors with equal magnitudes, we can follow these steps: ### Step 1: Understand the Given Information We know that: - \( |\mathbf{A}| = |\mathbf{B}| \) (the magnitudes of vectors A and B are equal). - We need to find the angle \( \phi \) between \( \mathbf{A} \) and \( \mathbf{A} - \mathbf{B} \). ### Step 2: Use the Cosine Rule To find the angle between \( \mathbf{A} \) and \( \mathbf{A} - \mathbf{B} \), we can use the cosine rule in the triangle formed by the vectors \( \mathbf{A} \), \( \mathbf{B} \), and \( \mathbf{A} - \mathbf{B} \). The cosine rule states: \[ c^2 = a^2 + b^2 - 2ab \cos(\theta) \] In our case: - Let \( c = |\mathbf{A} - \mathbf{B}| \) - Let \( a = |\mathbf{A}| \) - Let \( b = |\mathbf{B}| \) Since \( |\mathbf{A}| = |\mathbf{B}| \), we can denote this common magnitude as \( A \). Thus, we have: \[ |\mathbf{A} - \mathbf{B}|^2 = A^2 + A^2 - 2A^2 \cos(\theta) = 2A^2(1 - \cos(\theta)) \] ### Step 3: Calculate the Magnitude of \( \mathbf{A} - \mathbf{B} \) The magnitude of \( \mathbf{A} - \mathbf{B} \) can also be expressed as: \[ |\mathbf{A} - \mathbf{B}| = \sqrt{|\mathbf{A}|^2 + |\mathbf{B}|^2 - 2|\mathbf{A}||\mathbf{B}|\cos(\theta)} = \sqrt{A^2 + A^2 - 2A^2 \cos(\theta)} = \sqrt{2A^2(1 - \cos(\theta))} \] ### Step 4: Find the Angle Between \( \mathbf{A} \) and \( \mathbf{A} - \mathbf{B} \) Let \( \phi \) be the angle between \( \mathbf{A} \) and \( \mathbf{A} - \mathbf{B} \). Using the dot product: \[ \mathbf{A} \cdot (\mathbf{A} - \mathbf{B}) = |\mathbf{A}||\mathbf{A} - \mathbf{B}|\cos(\phi) \] Substituting the values we have: \[ |\mathbf{A}|^2 - \mathbf{A} \cdot \mathbf{B} = A |\mathbf{A} - \mathbf{B}|\cos(\phi) \] ### Step 5: Simplify and Solve for \( \phi \) Using the fact that \( \mathbf{A} \cdot \mathbf{B} = A^2 \cos(\theta) \): \[ A^2 - A^2 \cos(\theta) = A |\mathbf{A} - \mathbf{B}|\cos(\phi) \] From earlier, we know: \[ |\mathbf{A} - \mathbf{B}| = \sqrt{2A^2(1 - \cos(\theta))} \] Substituting this back, we can find \( \phi \). ### Conclusion After simplification, we find that: \[ \phi = 90^\circ - \frac{\theta}{2} \] This shows that the angle between \( \mathbf{A} \) and \( \mathbf{A} - \mathbf{B} \) depends on the angle \( \theta \) between \( \mathbf{A} \) and \( \mathbf{B} \).

To solve the problem of finding the angle between the vector \( \mathbf{A} \) and \( \mathbf{A} - \mathbf{B} \), given that \( \mathbf{A} \) and \( \mathbf{B} \) are two non-zero vectors with equal magnitudes, we can follow these steps: ### Step 1: Understand the Given Information We know that: - \( |\mathbf{A}| = |\mathbf{B}| \) (the magnitudes of vectors A and B are equal). - We need to find the angle \( \phi \) between \( \mathbf{A} \) and \( \mathbf{A} - \mathbf{B} \). ### Step 2: Use the Cosine Rule ...
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