Mathematics ยท Physics
Vector Algebra and Calculus
214 Questions
Vector algebra involves mathematical operations on spatial quantities including dot products and cross products. These questions test the understanding of vector spaces and linear combinations. This topic is crucial for advanced mathematics and physics exams.
Dot and cross productsVector linear combinationsPerpendicular vector calculationsVector space dimensionsCollinear points and vectors
Vector Algebra and Calculus Questions
Which of the following vectors is parallel to the vector (\vec{A} = 2\hat{i} - 3\hat{j})?
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\hat{i} - \frac{3}{2}\hat{j}
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2\hat{i} + 3\hat{j}
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3\hat{i} - 2\hat{j}
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6\hat{i} - 9\hat{j}
C
Correct answer
Explanation
Two vectors are parallel if they have the same direction. This means that one vector can be obtained by multiplying the other vector by a scalar. In this case, we can see that (3\hat{i} - 2\hat{j} = \frac{3}{2}(2\hat{i} - 3\hat{j})). Therefore, (\vec{A}) and (3\hat{i} - 2\hat{j}) are parallel.
Which of the following vectors is a linear combination of the vectors (\vec{A} = \hat{i} + 2\hat{j}) and (\vec{B} = 2\hat{i} - \hat{j})?
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\hat{i} + \hat{j}
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2\hat{i} + \hat{j}
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3\hat{i} - \hat{j}
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4\hat{i} + 2\hat{j}
C
Correct answer
Explanation
A vector (\vec{C}) is a linear combination of the vectors (\vec{A}) and (\vec{B}) if there exist scalars (a) and (b) such that (\vec{C} = a\vec{A} + b\vec{B}). In this case, we can see that (3\hat{i} - \hat{j} = 3(\hat{i} + 2\hat{j}) + (-1)(2\hat{i} - \hat{j})). Therefore, (\vec{C} = 3\hat{i} - \hat{j}) is a linear combination of (\vec{A}) and (\vec{B}).
Find the projection of the vector (\vec{A} = 2\hat{i} + 3\hat{j}) onto the vector (\vec{B} = 4\hat{i} - \hat{j}).
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\frac{10}{17}\hat{i} - \frac{3}{17}\hat{j}
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\frac{14}{17}\hat{i} + \frac{1}{17}\hat{j}
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\frac{14}{17}\hat{i} - \frac{1}{17}\hat{j}
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\frac{10}{17}\hat{i} + \frac{3}{17}\hat{j}
C
Correct answer
Explanation
The projection of a vector (\vec{A}) onto a vector (\vec{B}) is given by the formula (\text{proj}{\vec{B}}\vec{A} = \frac{\vec{A} \cdot \vec{B}}{|\vec{B}|^2}\vec{B}). Substituting the values of the vectors, we get (\text{proj}{\vec{B}}\vec{A} = \frac{(2)(4) + (3)(-1)}{(4^2 + (-1)^2)}(4\hat{i} - \hat{j}) = \frac{8 - 3}{17}(4\hat{i} - \hat{j}) = \frac{5}{17}(4\hat{i} - \hat{j}) = \frac{20}{17}\hat{i} - \frac{5}{17}\hat{j}).
Which of the following vectors is orthogonal to both (\vec{A} = \hat{i} + 2\hat{j} - 3\hat{k}) and (\vec{B} = 2\hat{i} - \hat{j} + 4\hat{k})?
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\hat{i} + \hat{j} + \hat{k}
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\hat{i} - \hat{j} - \hat{k}
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\hat{i} + \hat{j} - \hat{k}
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\hat{i} - \hat{j} + \hat{k}
C
Correct answer
Explanation
A vector is orthogonal to two other vectors if its dot product with both of them is zero. Let (\vec{C} = \langle x, y, z \rangle) be the vector we are looking for. Then, (\vec{A} \cdot \vec{C} = (1)(x) + (2)(y) + (-3)(z) = 0) and (\vec{B} \cdot \vec{C} = (2)(x) + (-1)(y) + (4)(z) = 0). Solving these two equations simultaneously, we get (\vec{C} = \langle 1, 1, -1 \rangle).