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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 [31]

Definition: Position Vector

A vector that describes the position of a point with respect to the origin is called a position vector.

Definition: Unit Vector

A vector that has a magnitude of one unit and is used to indicate direction is called a unit vector.

Definition: Vector Quantity

A physical quantity that is described with both magnitude and direction is called a vector.

Definition: Zero Vector

A vector whose magnitude is zero is called a zero vector.

Definition: Negative Vector

A vector that has the same magnitude as a given vector but acts in the opposite direction is called a negative vector.

Definition: Equal Vector

Two vectors having the same magnitude and the same direction are called equal vectors.

Definition: Scalar Quantity

A physical quantity that is described with magnitude alone is called a scalar.

Definition: Rectangular Components

When a vector \[\vec P\] is split into two mutually perpendicular parts along the horizontal and vertical axes, those parts are called rectangular components.

Definition: Coplanar Vectors

Vectors that act in the same plane are called coplanar vectors.

Definition: Orthogonal Vectors

Vectors that are perpendicular to each other are called orthogonal vectors.

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: 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: Modulus of a Vector

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

Definition: Unit Vector

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

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: Orthogonal Vectors

Vectors that are perpendicular to each other are called orthogonal vectors.

Definition: Zero Vector

A vector whose magnitude is zero is called a zero vector.

Definition: Negative Vector

A vector that has the same magnitude as a given vector but acts in the opposite direction is called a negative vector.

Definition: Scalar Quantity

A physical quantity that is described with magnitude alone is called a scalar.

Definition: Rectangular Components

When a vector \[\vec P\] is split into two mutually perpendicular parts along the horizontal and vertical axes, those parts are called rectangular components.

Definition: Coplanar Vectors

Vectors that act in the same plane are called coplanar vectors.

Definition: Equal Vector

Two vectors having the same magnitude and the same direction are called equal vectors.

Definition: Position Vector

A vector that describes the position of a point with respect to the origin is called a position vector.

Definition: Unit Vector

A vector that has a magnitude of one unit and is used to indicate direction is called a unit vector.

Definition: Vector Quantity

A physical quantity that is described with both magnitude and direction is called 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: 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.

Formulae [12]

Formula: Magnitude of Resultant

If two vectors \[\vec P\] and \[\vec Q\] act at an angle θ, the magnitude of their resultant is:

R = \[\sqrt{P^2+Q^2+2PQ\cos\theta}\]
Special cases:
Condition Angle  Resultant 
Parallel vectors R = P + Q
Perpendicular vectors 90° R = \[\sqrt{P^{2}+Q^{2}}\]
Anti-parallel vectors 180° R = P − Q
Formula: Rectangular Components

If a vector \[\vec P\] is resolved into two rectangular components:

  • Horizontal component: Px = P cos⁡ θ
  • Vertical component: Py = P sin ⁡θ
Formula: Dot Product (Scalar Product)

\[\vec P\] ⋅ \[\vec Q\] = PQ cos θ

θ Dot Product
PQ
90° 0
180° −PQ
Formula: Cross Product (Vector Product)

∣\[\vec P\] × \[\vec Q\]= PQ sin θ

θ Cross Product
0
90° PQ
180° 0
Formula: Cross Product (Vector Product)

∣\[\vec P\] × \[\vec Q\]= PQ sin θ

θ Cross Product
0
90° PQ
180° 0
Formula: Magnitude of Resultant

If two vectors \[\vec P\] and \[\vec Q\] act at an angle θ, the magnitude of their resultant is:

R = \[\sqrt{P^2+Q^2+2PQ\cos\theta}\]
Special cases:
Condition Angle  Resultant 
Parallel vectors R = P + Q
Perpendicular vectors 90° R = \[\sqrt{P^{2}+Q^{2}}\]
Anti-parallel vectors 180° R = P − Q
Formula: Rectangular Components

If a vector \[\vec P\] is resolved into two rectangular components:

  • Horizontal component: Px = P cos⁡ θ
  • Vertical component: Py = P sin ⁡θ
Formula: Dot Product (Scalar Product)

\[\vec P\] ⋅ \[\vec Q\] = PQ cos θ

θ Dot Product
PQ
90° 0
180° −PQ
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

Theorems and Laws [12]

Triangle Law

If two vectors are represented in magnitude and direction by two sides of a triangle taken in order, then their sum is \[\overline{\mathrm{AC}}=\overline{\mathrm{AB}}+\overline{\mathrm{BC}}\]

Parallelogram Law

If two co-initial vectors are represented in magnitude and direction by adjacent sides of a parallelogram, then their sum is represented in magnitude and direction by the diagonal of the parallelogram passing through the common point.

∴ \[\overline{\mathrm{AC}}=\overline{\mathrm{AB}}+\overline{\mathrm{BC}}\]

Law: Triangle Law / Parallelogram Law of Vector Addition

Two vectors can be added using either the Triangle Law or the Parallelogram Law. When two vectors \[\vec P\] and \[\vec Q\] are represented as two sides of a triangle (or two adjacent sides of a parallelogram), their resultant is represented by the third side (or the diagonal).

Law: Commutative Law

For any two vectors \[\vec P\] and \[\vec Q\]:

\[\vec P\] + \[\vec Q\] = \[\vec Q\] + \[\vec P\]

The commutative law holds true for addition of vectors but not for subtraction.

Law: Associative Law

For three vectors \[\vec P\], \[\vec Q\], and \[\vec R\]:

(\[\vec P\] + \[\vec Q\]) + \[\vec R\] = \[\vec P\] + (\[\vec Q\] + \[\vec R\])

The associative law holds true for addition of vectors but not for subtraction.

Law: Range of Resultant

The resultant R of two vectors \[\vec P\] and \[\vec Q\] always lies between their difference and their sum:

∣P − Q∣ ≤ R ≤ P + Q
Triangle Law

If two vectors are represented in magnitude and direction by two sides of a triangle taken in order, then their sum is \[\overline{\mathrm{AC}}=\overline{\mathrm{AB}}+\overline{\mathrm{BC}}\]

Parallelogram Law

If two co-initial vectors are represented in magnitude and direction by adjacent sides of a parallelogram, then their sum is represented in magnitude and direction by the diagonal of the parallelogram passing through the common point.

∴ \[\overline{\mathrm{AC}}=\overline{\mathrm{AB}}+\overline{\mathrm{BC}}\]

Law: Triangle Law / Parallelogram Law of Vector Addition

Two vectors can be added using either the Triangle Law or the Parallelogram Law. When two vectors \[\vec P\] and \[\vec Q\] are represented as two sides of a triangle (or two adjacent sides of a parallelogram), their resultant is represented by the third side (or the diagonal).

Law: Commutative Law

For any two vectors \[\vec P\] and \[\vec Q\]:

\[\vec P\] + \[\vec Q\] = \[\vec Q\] + \[\vec P\]

The commutative law holds true for addition of vectors but not for subtraction.

Law: Associative Law

For three vectors \[\vec P\], \[\vec Q\], and \[\vec R\]:

(\[\vec P\] + \[\vec Q\]) + \[\vec R\] = \[\vec P\] + (\[\vec Q\] + \[\vec R\])

The associative law holds true for addition of vectors but not for subtraction.

Law: Range of Resultant

The resultant R of two vectors \[\vec P\] and \[\vec Q\] always lies between their difference and their sum:

∣P − Q∣ ≤ R ≤ P + Q
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