91影视

To find the cross product of A and B (denoted as A x B), follow these steps: Step 1: Set up the matrix \[ \begin{bmatrix} \hat{i} & \hat{j} & \hat{k} \\ 1 & 2 & -2 \\ 3 & 0 & 1 \end{bmatrix} \] Step 2: Perform cofactor expansion \(A \times B = \begin{vmatrix} 2 & -2 \\ 0 & 1 \end{vmatrix} \hat{i} - \begin{vmatrix} 1 & -2 \\ 3 & 1 \end{vmatrix} \hat{j} + \begin{vmatrix} 1 & 2 \\ 3 & 0 \end{vmatrix} \hat{k}\) Step 3: Calculate the cross product \(A \times B = (2)(1) \hat{i} - (0)(-2) \hat{j} + (1)(3) \hat{k} - (2)(3) \hat{k} = 2 \hat{i} + 3 \hat{k} - 6 \hat{k}\) So, \(A \times B = (2, 0, -3)\).

To verify that \(A \cdot (A \times B) = 0\) and \(B \cdot (A \times B) = 0\), find the dot products of these vectors. Step 1: Calculate \(A \cdot (A \times B)\) \(A \cdot (A \times B) = (1)(2) + (2)(0) + (-2)(-3) = 2 + 0 + 6 = 8\) Since \(A \cdot (A \times B) \neq 0\), we need to recompute the cross product of A and B. Step 2: Recompute the cross product of A and B \(A \times B = (1)\hat{i} - (1)(3) \hat{j} + (1)(2) \hat{k} = \hat{i} - 3 \hat{j} + 2 \hat{k\) Now, \(A \times B = (1, -3, 2)\). Step 3: Recalculate \(A \cdot (A \times B)\) and \(B \cdot (A \times B)\) \(A \cdot (A \times B) = (1)(1) + (2)(-3) + (-2)(2) = 1 - 6 - 4 = -9\) So, we again made a mistake calculating the cross product of A and B. In order to avoid further errors, we will directly use the formula for the cross product. Step 4: Compute the correct cross product of A and B \(A \times B = (2 - 0)\hat{i} - ((1 - (-6))\hat{j} + (0 - 6)\hat{k} = 2 \hat{i} + 7 \hat{j} - 6 \hat{k\) Now, \(A \times B = (2, 7, -6)\). Step 5: Recalculate \(A \cdot (A \times B)\) and \(B \cdot (A \times B)\) \(A \cdot (A \times B) = (1)(2) + (2)(7) + (-2)(-6) = 2 + 14 + 12 = 28\) \(B \cdot (A \times B) = (3)(2) + (0)(7) + (1)(-6) = 6 + 0 - 6 = 0\) The correct values for the dot product are \(A \cdot (A \times B) = 28\) and \(B \cdot (A \times B) = 0\).

To prove this property, let A = (a鈧�, a鈧�, a鈧�) and B = (b鈧�, b鈧�, b鈧�) be any vectors in R鲁. Step 1: Compute the cross product of A and B \(A \times B = (a鈧俠鈧� - a鈧僢鈧�) \hat{i} - (a鈧乥鈧� - a鈧僢鈧�) \hat{j} + (a鈧乥鈧� - a鈧俠鈧�) \hat{k}\) Step 2: Compute the dot product of A with the cross product of A and B \(A \cdot (A \times B) = (a鈧�(a鈧俠鈧� - a鈧僢鈧�)) - a鈧�(a鈧乥鈧� - a鈧僢鈧�) + a鈧�(a鈧乥鈧� - a鈧俠鈧�)\) Step 3: Simplify the dot product \(A \cdot (A \times B) = a鈧乤鈧俠鈧� - a鈧乤鈧僢鈧� - a鈧乤鈧俠鈧� + a鈧俛鈧僢鈧� + a鈧乤鈧僢鈧� - a鈧俛鈧僢鈧� = 0\) Step 4: Compute the dot product of B with the cross product of A and B \(B \cdot (A \times B) = b鈧�(a鈧俠鈧� - a鈧僢鈧�) - b鈧�(a鈧乥鈧� - a鈧僢鈧�) + b鈧�(a鈧乥鈧� - a鈧俠鈧�)\) Step 5: Simplify the dot product \(B \cdot (A \times B) = a鈧俠鈧乥鈧� - a鈧僢鈧乥鈧� - a鈧乥鈧俠鈧� + a鈧僢鈧乥鈧� + a鈧乥鈧俠鈧� - a鈧俠鈧乥鈧� = 0\) Therefore, for any vectors A and B in R鲁, \(A \cdot (A \times B) = 0\) and \(B \cdot (A \times B) = 0\).