Related Formula
By orthogonal vector decomposition (Pythagorean property):
| v|² = | v₁|² + | v₂|² when v₁ · v₂ = 0$$|\vec{v}|^2 = |\vec{v}_1|^2 + |\vec{v}_2|^2 \quad \text{when } \vec{v}_1 \cdot \vec{v}_2 = 0$$
Core Logic
Compute λ$\lambda$ using dot product formula:
θ = u · v| u|| v| √(5)2√(7) = 3(2) + (-1)(1)√(3² + (-1)²) √(2² + 1² + (-λ)²)$$\cos\theta = \frac{\vec{u} \cdot \vec{v}}{|\vec{u}||\vec{v}|} \implies \frac{\sqrt{5}}{2\sqrt{7}} = \frac{3(2) + (-1)(1)}{\sqrt{3^2 + (-1)^2} \sqrt{2^2 + 1^2 + (-\lambda)^2}}$$
√(5)2√(7) = 5√(10)√(5 + λ²) 12√(7) = √(5)√(10)√(5 + λ²) = 1√(2)√(5 + λ²)$$\frac{\sqrt{5}}{2\sqrt{7}} = \frac{5}{\sqrt{10}\sqrt{5 + \lambda^2}} \implies \frac{1}{2\sqrt{7}} = \frac{\sqrt{5}}{\sqrt{10}\sqrt{5 + \lambda^2}} = \frac{1}{\sqrt{2}\sqrt{5 + \lambda^2}}$$
Step 1: Solve for lambda
Square both sides of equation:
(1)/(28) = (1)/(2(5 + λ²)) 2(5 + λ²) = 28 5 + λ² = 14 λ² = 9 λ = 3$$\frac{1}{28} = \frac{1}{2(5 + \lambda^2)} \implies 2(5 + \lambda^2) = 28 \implies 5 + \lambda^2 = 14 \implies \lambda^2 = 9 \implies \lambda = 3$$
Since v = 2 i + j - 3 k$\vec{v} = 2\hat{i} + \hat{j} - 3\hat{k}$.
Step 2: Apply Identity
Since components are orthogonal, direct magnitude squared holds:
| v₁|² + | v₂|² = | v|² = 2² + 1² + (-3)² = 4 + 1 + 9 = 14$$|\vec{v}_1|^2 + |\vec{v}_2|^2 = |\vec{v}|^2 = 2^2 + 1^2 + (-3)^2 = 4 + 1 + 9 = 14$$
Pattern Recognition
Do not waste time explicitly projecting components v₁$\vec{v}_1$ and v₂$\vec{v}_2$ if only the sum of their squared magnitudes is requested. The scalar length matches the total vector length invariant under any orthogonal basis change.
Chapter Mix
Class 12 Mathematics: Vector Algebra