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

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Definitions [11]

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.

Definition: Scalar Product

The scalar product or dot product of two nonzero vectors \[\vec P\] and \[\vec Q\] is defined as the product of the magnitudes of the two vectors and the cosine of the angle θ between the two vectors.

Definition: Vector Product

The Vector Product (or Cross Product) is a method of multiplying two vectors (\[\vec P\] and \[\vec Q\]) that results in a new vector (\[\vec R\]). This new vector is fundamentally related to the rotation or perpendicular effects created by the two original vectors.

The magnitude of the resulting vector R is defined by the product of the magnitudes of the two vectors and the sine of the smaller angle (θ) between them.
Magnitude: ∣R∣ = ∣ P × Q ∣ = PQ sin θ

Definition: Calculus

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

Definition: Differentiation

"dy/dx is called the derivative of y with respect to x (which is the rate of change of y with respect to change in x) and the process of finding the derivative is called differentiation."

Definition: Indefinite Integral

is called the indefinite (without any limits on x) integral of f(x).

Definition: Definite Integral

The representation \[\int_{x=a}^{x=b}\] f(x)dx is called the definite integral of f(x) from x = a to x = b.

Formulae [6]

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(\[\frac {Y}{X}\])
Formula: Scalar (Dot) Product

\[\vec{A}\cdot\vec{B}=|\vec{A}||\vec{B}|\cos\theta=AB\cos\theta\]

Formula: Vector (Cross) Product

\[\vec{A}\times\vec{B}=AB\sin\theta\hat{n}\]

Theorems and Laws [1]

Law: Polygon Law of Vector Addition

If a number of vectors are represented both in magnitude and direction by the sides of an open polygon taken in the same order, then their resultant is represented both in magnitude and direction by the closing side of the polygon taken in opposite order — this is called the Polygon Law of Vector Addition.

Key Points

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: Addition and Subtraction of Vectors
  1. Component Method: Resultant R = A + B is found as Rx = Ax + BxRy = Ay + ByRz = Az + Bz, giving R = Rx\[\hat i\] + Ry\[\hat j\] + Rz\[\hat k\].

  2. Laws of Addition: Triangle law (head-to-tail), Parallelogram law (tail-to-tail, diagonal = resultant), and Polygon law (for multiple vectors, closing side = resultant).

  3. Magnitude (Addition): When A and B are at angle θR = \[\sqrt{A^2+B^2+2AB\cos\theta}\].

  4. Magnitude (Subtraction): Change the sign to minus — ∣R∣ = .

  5. Direction of Resultant: tan⁡α = \[\frac{B\sin\theta}{A+B\cos\theta}\] for addition; tan⁡β = \[\frac{B\sin\theta}{A-B\cos\theta}\] for subtraction.

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