91Ó°ÊÓ

The cross product is a crucial operation in vector algebra, particularly useful when you're working in three-dimensional space. It is defined for two vectors and results in a third vector, which is perpendicular to the plane formed by the original vectors.

• This product provides a way to find a vector normal to the plane containing the given vectors.
• The cross product of vectors \(\mathbf{A} = \hat{\mathbf{i}} - 2 \hat{\mathbf{j}} + 3 \hat{\mathbf{k}}\) and \(\mathbf{B} = 3 \hat{\mathbf{i}} - 2 \hat{\mathbf{j}} + \mathbf{k}\) is another vector found using the determinant form.
• The determinant method involves calculating a formal determinant-like expression with unit vectors \(\hat{\mathbf{i}}\), \(\hat{\mathbf{j}}\), and \(\hat{\mathbf{k}}\) forming the top row.

To solve \(\mathbf{A} \times \mathbf{B}\), we compute:\[\mathbf{A} \times \mathbf{B} = \left| \begin{array}{ccc}\hat{\mathbf{i}} & \hat{\mathbf{j}} & \hat{\mathbf{k}} \ 1 & -2 & 3 \3 & -2 & 1 \end{array} \right|\]This results in a vector: \(6\hat{\mathbf{i}} + 8\hat{\mathbf{j}} + 4\hat{\mathbf{k}}\). Each component results from a specific minor determinant calculation that represents the geometric influence of rotation and area conservation.

The area of a parallelogram defined by two vectors can be found using the magnitude of their cross product. This is because the area of the parallelogram is essentially the parallelogram's base times its height, which the cross product provides.

• When vectors \(\mathbf{A}\) and \(\mathbf{B}\) form two sides of a parallelogram, their cross product computes a vector normal to the parallelogram.
• The length of this vector—or its magnitude—directly represents the parallelogram's area.

In our case, with \(\mathbf{A} \times \mathbf{B} = 6\hat{\mathbf{i}} + 8\hat{\mathbf{j}} + 4\hat{\mathbf{k}}\), we conclude that the area is:\[\text{Area} = \| \mathbf{A} \times \mathbf{B} \| = \sqrt{6^2 + 8^2 + 4^2} = \sqrt{116}\]This gives a magnitude of \(2 \sqrt{29}\), providing us with the area. Such a value perfectly describes the spatial spread across the plane defined by the two vectors given.

The magnitude of a vector is a measure of its length or size, providing a scalar quantity that describes the spread of the vector in space. In this exercise, computing the magnitude of a vector is an essential step.

• The vector magnitude is calculated using the square root of the sum of the squares of its components.
• For \(\mathbf{C} = 6\hat{\mathbf{i}} + 8\hat{\mathbf{j}} + 4\hat{\mathbf{k}}\), applying the formula \(\| \mathbf{C} \| = \sqrt{a^2 + b^2 + c^2}\), leads us to a key result.

Thus, the magnitude \(\| \mathbf{A} \times \mathbf{B} \|\) equals:\[\sqrt{6^2 + 8^2 + 4^2} = \sqrt{36 + 64 + 16} = \sqrt{116} = 2 \sqrt{29}\]This computation is crucial for applications like finding the area of a parallelogram. The magnitude offers context on how vectors influence space, guiding us in physical and geometric interpretations.