Question:

Let $\vec{a}$ and $\vec{b}$ be two vectors such that $|\vec{a}|=\sqrt{14},|\vec{b}|=\sqrt{6}$ and $|\vec{a} \times \vec{b}|=\sqrt{48}$ Then $(\vec{a} \cdot \vec{b})^2$ is equal to

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When solving problems involving vectors, use the identity \( |\vec{a} \times \vec{b}|^2 + (\vec{a} \cdot \vec{b})^2 = |\vec{a}|^2 |\vec{b}|^2 \) to relate the dot and cross product magnitudes. This identity helps simplify many vector algebra problems.
Updated On: Mar 21, 2025
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Correct Answer: 36

Approach Solution - 1

The correct answer is 36.


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Step 1: Use the vector identity for the magnitude of the cross product and dot product: \[ |\vec{a} \times \vec{b}|^2 + (\vec{a} \cdot \vec{b})^2 = |\vec{a}|^2 |\vec{b}|^2. \] This identity relates the cross product and dot product of two vectors. 
Step 2: Substitute the given values for the magnitudes of the vectors: \[ |\vec{a} \times \vec{b}|^2 = (\sqrt{48})^2 = 48, \quad |\vec{a}|^2 = (\sqrt{14})^2 = 14, \quad |\vec{b}|^2 = (\sqrt{6})^2 = 6. \] Here, we calculate the squared magnitudes of the vectors \( \vec{a} \) and \( \vec{b} \), as well as the squared magnitude of their cross product. Step 3: Substitute these values into the equation: \[ 48 + (\vec{a} \cdot \vec{b})^2 = 14 \times 6 = 84. \] Now, substitute the known values for the cross product and dot product magnitudes into the identity. 
Step 4: Solve for \( (\vec{a} \cdot \vec{b})^2 \): \[ (\vec{a} \cdot \vec{b})^2 = 84 - 48 = 36. \] This gives us the squared value of the dot product of the vectors \( \vec{a} \) and \( \vec{b} \).

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Concepts Used:

Vector Algebra

A vector is an object which has both magnitudes and direction. It is usually represented by an arrow which shows the direction(→) and its length shows the magnitude. The arrow which indicates the vector has an arrowhead and its opposite end is the tail. It is denoted as

The magnitude of the vector is represented as |V|. Two vectors are said to be equal if they have equal magnitudes and equal direction.

Vector Algebra Operations:

Arithmetic operations such as addition, subtraction, multiplication on vectors. However, in the case of multiplication, vectors have two terminologies, such as dot product and cross product.