If \( \vec{a} \) and \( \vec{b} \) are two vectors such that \( |\vec{a}| = 7 \) and \( |\vec{b}| = 4 \), then the value of the scalar product of vectors \( 2\vec{a} - 3\vec{b} \) and \( 2\vec{a} + 3\vec{b} \) is:
52
The question asks us to find the scalar product (also known as the dot product) of two vector expressions, \( 2\vec{a} - 3\vec{b} \) and \( 2\vec{a} + 3\vec{b} \). We are given the magnitudes of the individual vectors \( \vec{a} \) and \( \vec{b} \).
Given information:
We need to calculate the value of \( (2\vec{a} - 3\vec{b}) \cdot (2\vec{a} + 3\vec{b}) \).
To find the scalar product \( (2\vec{a} - 3\vec{b}) \cdot (2\vec{a} + 3\vec{b}) \), we can use the distributive property of the dot product, similar to how we expand an algebraic expression like \( (x-y)(x+y) \). Recall that \( (x-y)(x+y) = x^2 - y^2 \). The equivalent property for vectors involving the dot product is \( (\vec{u} - \vec{v}) \cdot (\vec{u} + \vec{v}) = \vec{u} \cdot \vec{u} - \vec{v} \cdot \vec{v} \). Since \( \vec{u} \cdot \vec{u} = |\vec{u}|^2 \), this becomes \( |\vec{u}|^2 - |\vec{v}|^2 \).
In our case, let \( \vec{u} = 2\vec{a} \) and \( \vec{v} = 3\vec{b} \). Applying the property:
$$ (2\vec{a} - 3\vec{b}) \cdot (2\vec{a} + 3\vec{b}) = (2\vec{a}) \cdot (2\vec{a}) - (3\vec{b}) \cdot (3\vec{b}) $$
Using the property \( (c\vec{u}) \cdot (d\vec{v}) = cd (\vec{u} \cdot \vec{v}) \):
$$ (2\vec{a}) \cdot (2\vec{a}) = (2)(2) (\vec{a} \cdot \vec{a}) = 4 (\vec{a} \cdot \vec{a}) $$
$$ (3\vec{b}) \cdot (3\vec{b}) = (3)(3) (\vec{b} \cdot \vec{b}) = 9 (\vec{b} \cdot \vec{b}) $$
Also, recall that the dot product of a vector with itself is the square of its magnitude: \( \vec{v} \cdot \vec{v} = |\vec{v}|^2 \).
So, \( \vec{a} \cdot \vec{a} = |\vec{a}|^2 \) and \( \vec{b} \cdot \vec{b} = |\vec{b}|^2 \).
Substituting these back into the expression:
$$ (2\vec{a} - 3\vec{b}) \cdot (2\vec{a} + 3\vec{b}) = 4 |\vec{a}|^2 - 9 |\vec{b}|^2 $$
Now, substitute the given magnitudes \( |\vec{a}| = 7 \) and \( |\vec{b}| = 4 \):
$$ = 4 (7)^2 - 9 (4)^2 $$
Calculate the squares:
$$ = 4 (49) - 9 (16) $$
Perform the multiplication:
$$ = 196 - 144 $$
Finally, perform the subtraction:
$$ = 52 $$
The value of the scalar product of vectors \( 2\vec{a} - 3\vec{b} \) and \( 2\vec{a} + 3\vec{b} \) is 52.
Let's summarize the steps involved in calculating this specific scalar product:
| Concept | Description |
|---|---|
| Scalar Product (Dot Product) | A way to multiply two vectors resulting in a scalar quantity. For \( \vec{a} \) and \( \vec{b} \), \( \vec{a} \cdot \vec{b} = |\vec{a}| |\vec{b}| \cos \theta \), where \( \theta \) is the angle between them. |
| Magnitude of a Vector | The length or size of a vector, denoted by \( |\vec{v}| \). |
| Dot Product with Itself | The dot product of a vector with itself is the square of its magnitude: \( \vec{v} \cdot \vec{v} = |\vec{v}|^2 \). |
| Distributive Property | Similar to algebra, \( \vec{u} \cdot (\vec{v} + \vec{w}) = \vec{u} \cdot \vec{v} + \vec{u} \cdot \vec{w} \) and \( (\vec{u} + \vec{v}) \cdot \vec{w} = \vec{u} \cdot \vec{w} + \vec{v} \cdot \vec{w} \). |
| Scalar Multiplication Property | For scalars \( c \) and \( d \), \( (c\vec{u}) \cdot (d\vec{v}) = cd (\vec{u} \cdot \vec{v}) \). |
Vector algebra involves operations like addition, subtraction, and scalar multiplication of vectors, as well as different types of vector multiplication like the scalar product (dot product) and vector product (cross product). The dot product is particularly useful for finding the angle between two vectors and for projections.
The scalar product \( \vec{a} \cdot \vec{b} \) provides information about how much one vector acts in the direction of another. If \( \vec{a} \cdot \vec{b} = 0 \) and neither vector is the zero vector, the vectors are orthogonal (perpendicular). If \( \vec{a} \cdot \vec{b} > 0 \), the angle between them is acute. If \( \vec{a} \cdot \vec{b} < 0 \), the angle between them is obtuse.
In this specific problem, the expansion \( (2\vec{a} - 3\vec{b}) \cdot (2\vec{a} + 3\vec{b}) = 4|\vec{a}|^2 - 9|\vec{b}|^2 \) holds true regardless of the angle between \( \vec{a} \) and \( \vec{b} \), because the terms involving \( \vec{a} \cdot \vec{b} \) cancel out due to the structure of the expression \( (\vec{u} - \vec{v}) \cdot (\vec{u} + \vec{v}) \).
Position vector of four points A, B, C, D are \( -\hat{i} + \hat{j} + \hat{k} \), \( 3\hat{i} - 2\hat{j} + 2\hat{k} \), \( 4\hat{i} - \lambda\hat{j} - \hat{k} \), and \( \hat{i} + \hat{j} + \hat{k} \) respectively. The value of \( \lambda \) for which the points A, B, C, D are coplanar is:
OA BC is a parallelogram. If \( \overrightarrow{OB} = \vec{a} \) and \( \overrightarrow{AC} = \vec{b} \), then \( \overrightarrow{OA} \) is equal to:

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