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Revision: 11th Std >> Scalars and Vectors MAH-MHT CET (PCM/PCB) Scalars and Vectors

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Definitions [8]

Definition: Component Vectors

The splitting vectors obtained when a single vector is resolved into two or more vectors in different directions are called component vectors.

Definition: Direction Cosines

The values of cos⁡αcos⁡β, and cosγ which are the cosines of the angles subtended by the rectangular components with the given vector are called direction cosines of a vector.

Definition: Rectangular Components

When a vector is resolved into components along mutually perpendicular directions (like x and y axes in 2D, or x, y, and z axes in 3D), these components are called rectangular or Cartesian components.

OR

When a vector is resolved along two mutually perpendicular directions, the components so obtained are called rectangular components of the given vector.

Definition: Orthogonal Triad of Base Vectors

The three mutually perpendicular unit vectors \[\hat i\], \[\hat j\]​, \[\hat k\] used in three-dimensional space to describe the direction of any vector — where \[\hat i\] is along X-axis, \[\hat j\]​ along Y-axis, and \[\hat k\] along Z-axis — are called an orthogonal triad of base vectors.

Definition: Resolution of the Vector

A vector \[\vec V\] can be expressed as the sum of two or more vectors along fixed directions. This process is known as vector resolution.

OR

The process of splitting a single vector into two or more vectors in different directions which together produce same effect as produced by the single vector alone is called resolution of vector.

Definition: Vector (Cross) Product

The product of the magnitudes of two vectors and the sine of the angle between them, giving a vector quantity perpendicular to the plane of both vectors, is called the vector or cross product.

Definition: Scalar (Dot) Product

The product of the magnitudes of two vectors and the cosine of the angle between them, giving a scalar quantity, is called the scalar or dot product.

Definition: Calculus

“Calculus is the study of continuous (not discrete) changes in mathematical quantities.”

Formulae [4]

Formula: Resolution of a Vector

When a vector \[\vec A\] is resolved into three-dimensional rectangular components, it is given by:

\[\vec A\] = Ax\[\hat i\] + Ay\[\hat j\] + Az\[\hat k\]
For resultant of multiple vectors resolved along axes:
X = ∑Fi​ cosθi​, Y = ∑Fi​ sin θi​
F = \[\sqrt {X^2+Y^2}\], ϕ = tan⁡−1(\[\frac {Y}{X}\])
Formula: Magnitude of a 3D Vector

The magnitude of vector \[\vec A\] resolved into three-dimensional components is:

A = \[\sqrt{A_x^2+A_y^2+A_z^2}\]

Formula: Direction Cosines

If αβ, and γ are the angles subtended by the rectangular components with the given vector, then:

cos α = \[\frac {A_x}{A}\], cos β = \[\frac {A_y}{A}\], cos γ = \[\frac {A_z}{A}\]

Formula: Identity of Direction Cosines

The sum of squares of all direction cosines is always equal to 1:

cos2α + cos2β + cos2γ = 1

Key Points

Key Points: Multiplication of Vectors

Scalar (Dot) Product:

  • Commutative:  A ⋅ B = B ⋅ A
  • Distributive over addition: A ⋅ (B + C) = A ⋅ B + A ⋅ C
  • Geometric interpretation: Product of the magnitude of one vector by the component of the other in the direction of the first
  • A ⋅ A = A2
  • If A ⊥ B, then A ⋅ B = 0

Vector (Cross) Product:

  • Not commutative: A × B ≠ B × A
  • Distributive over addition: A × (B + C) = A × B + A × C
  • Geometric interpretation: Magnitude equals the area of the parallelogram whose adjacent sides are the two co-initial vectors
  • A × A = 0
  • If A ∥ B, then A × B = 0
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