The cross product is a mathematical operation that takes two vectors and produces a third vector that is perpendicular to the plane formed by the original vectors. Unlike the dot product, which results in a scalar, the cross product yields a vector. This operation is particularly useful in physics and engineering, where understanding the orientation of vectors is crucial.
To compute the cross product of two vectors, say \(\mathbf{u}\) and \(\mathbf{v}\), we can follow a systematic approach using a determinant of a matrix. For vectors \(\mathbf{u} = (u_1, u_2, u_3)\) and \(\mathbf{v} = (v_1, v_2, v_3)\), we can set up the following matrix:
\[\begin{vmatrix}\mathbf{i} & \mathbf{j} & \mathbf{k} \\u_1 & u_2 & u_3 \\v_1 & v_2 & v_3\end{vmatrix}\end{equation}
Here, \(\mathbf{i}\), \(\mathbf{j}\), and \(\mathbf{k}\) are the unit vectors in the x, y, and z directions, respectively. The first row contains the unit vectors, while the second and third rows contain the components of vectors \(\mathbf{u}\) and \(\mathbf{v}\).
The next step involves calculating the determinant using a cross-multiplication pattern. For each component of the resulting vector \(\mathbf{w} = \mathbf{u} \times \mathbf{v}\), we can derive the following:
1. The x-component (\(w_1\)) is calculated as:
\[w_1 = u_2 v_3 - u_3 v_2\end{equation}
2. The y-component (\(w_2\)) is given by:
\[w_2 = u_3 v_1 - u_1 v_3\end{equation}
3. The z-component (\(w_3\)) is determined by:
\[w_3 = u_1 v_2 - u_2 v_1\end{equation}
By applying these formulas, we can find the components of the resulting vector. For example, if we have \(\mathbf{u} = (2, 0, 1)\) and \(\mathbf{v} = (0, -1, 2)\), we can compute:
\[w_1 = 0 \cdot 2 - 1 \cdot (-1) = 1\end{equation}
\[w_2 = 1 \cdot 0 - 2 \cdot 2 = -4\end{equation}
\[w_3 = 2 \cdot (-1) - 0 \cdot 0 = -2\end{equation}
Thus, the cross product \(\mathbf{w}\) can be expressed in vector form as:
\[\mathbf{w} = (1, -4, -2)\end{equation}
In summary, the cross product is a powerful tool for finding a vector that is orthogonal to two given vectors. By following the structured approach of setting up a matrix and applying the determinant method, one can efficiently compute the cross product and understand the geometric implications of the resulting vector.