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Tamil Nadu Board of Secondary EducationHSC Science Class 11

Revision: Vector Algebra Mathematics HSC Science Class 11 Tamil Nadu Board of Secondary Education

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Definitions [24]

Definition: Magnitude of a Vector

The magnitude of vector \[\vec{AB}\] is the length of the directed line segment AB. It is written as \[|\vec{AB}|\], \[|\vec{a}|\], or simply a. The magnitude of a vector is never negative because it represents length.

Position Vector

In three-dimensional geometry, the vector drawn from the origin O(0, 0, 0) to a point P(x, y, z) is called the position vector of the point P. It is written as \[\vec{OP}\]. If point P(x, y, z) is given, then the magnitude of its position vector is:

\[|\vec{OP}| = \sqrt{x^2 + y^2 + z^2}\]
Definition: Scalar Quantity

A scalar quantity is a physical quantity that has magnitude only.

Definition: Vector Quantity

A vector quantity is a physical quantity that has magnitude as well as direction.

Definition: Vector

A vector is a quantity that has magnitude as well as direction. Geometrically, a vector is represented by a directed line segment such as  \[\vec{AB}\], where A is the initial point and B is the terminal point.

Definition: Zero (Null) Vector

A vector that has zero magnitude and an arbitrary direction, represented by \[\vec 0\], is called a zero vector or null vector.

Definition: Co-planar Vectors

The vectors which act in the same plane are called co-planar vectors.

Definition: Negative of a Vector

A vector having the same magnitude as the original vector but having an opposite direction is called the negative of a vector.

Definition: Vector

A vector is any quantity that needs both magnitude (size) and direction to be completely described.

OR

The physical quantities which have both magnitude and direction, obey the laws of vector addition, and are specified by a number with a unit and its direction (e.g., displacement, velocity, force, momentum) are called vector quantities or vectors.

Definition: Unit Vector

A vector of unit magnitude drawn in the direction of a given vector is called a unit vector.

Definition: Modulus of a Vector

The length or the magnitude of a vector is called the modulus of a vector.

Position Vector

In three-dimensional geometry, the vector drawn from the origin O(0, 0, 0) to a point P(x, y, z) is called the position vector of the point P. It is written as \[\vec{OP}\]. If point P(x, y, z) is given, then the magnitude of its position vector is:

\[|\vec{OP}| = \sqrt{x^2 + y^2 + z^2}\]
Definition: Scalar Quantity

A scalar quantity is a physical quantity that has magnitude only.

Definition: Vector Quantity

A vector quantity is a physical quantity that has magnitude as well as direction.

Definition: Vector

A vector is a quantity that has magnitude as well as direction. Geometrically, a vector is represented by a directed line segment such as  \[\vec{AB}\], where A is the initial point and B is the terminal point.

Definition: Magnitude of a Vector

The magnitude of vector \[\vec{AB}\] is the length of the directed line segment AB. It is written as \[|\vec{AB}|\], \[|\vec{a}|\], or simply a. The magnitude of a vector is never negative because it represents length.

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: 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: 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: 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: 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: Direction Cosines

The cosines of these angles are called the direction cosines of the line.

\[l = \cos \alpha, \quad m = \cos \beta, \quad n = \cos \gamma\]

So, the direction cosines are written as (l, m, n).

Definition: Direction Angles

If a directed line makes angles \[\alpha\], \[\beta\], and \[\gamma\] with the positive x-, y-, and z-axes respectively, then these are called the direction angles of the line.

Definition: Direction Ratios

Any three numbers proportional to the direction cosines of a line are called the direction ratios of the line.

If (a, b, c) are direction ratios, then:

\[\frac{l}{a} = \frac{m}{b} = \frac{n}{c}\]

Formulae [4]

Formula: Identity of Direction Cosines

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

cos2α + cos2β + cos2γ = 1

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: 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: 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(\[\frac {Y}{X}\])

Key Points

Key Points: Basic Concepts of Vector Algebra
  • Scalars have only magnitude.

  • Vectors have magnitude and direction.

  • Vectors are represented by directed line segments.

  • \[\vec{AB}\] represents a vector from A to B.

  • Magnitude of a vector is its length and is always non-negative.

  • \[\vec{OP}\] is the position vector of point \[P(x, y, z)\].

  • \[|\vec{OP}| = \sqrt{x^2 + y^2 + z^2}\].

Key Points: Vector Analysis
  • Distance vs Displacement: Distance (5 km) is scalar; displacement (5 km north) is vector.
  • Speed vs Velocity: Speed (60 km/h) is scalar; velocity (60 km/h north) is vector.
  • Vectors add differently: You cannot simply add vectors like scalars. A 5 N force east + 5 N force north ≠ 10 N!
Key Points: Basic Concepts of Vector Algebra
  • Scalars have only magnitude.

  • Vectors have magnitude and direction.

  • Vectors are represented by directed line segments.

  • \[\vec{AB}\] represents a vector from A to B.

  • Magnitude of a vector is its length and is always non-negative.

  • \[\vec{OP}\] is the position vector of point \[P(x, y, z)\].

  • \[|\vec{OP}| = \sqrt{x^2 + y^2 + z^2}\].

Key Points: Direction Cosines and Direction Ratios of a Line
  • Direction Cosines (DCs) of a line: \[(l, m, n) = (\cos \alpha, \cos \beta, \cos \gamma)\].

  • Main identity: \[l^2 + m^2 + n^2 = 1\].

  • Direction Ratios (DRs): Are proportional to DCs.

  • Relation between DRs and DCs: If DRs are (a, b, c), then DCs are proportional to (a, b, c) divided by \[\sqrt{a^2 + b^2 + c^2}\].

  • DRs for two points: For points \[P(x_1, y_1, z_1)\] and \[Q(x_2, y_2, z_2)\], DRs are \[(x_2 - x_1, y_2 - y_1, z_2 - z_1)\].

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