Vector Algebra: Fundamentals & Geometric Applications - Lecture Notes
Vector Algebra and Scalar Quantities
- Definition of Physical Quantities:
- Scalar Quantities: Physical quantities that have only magnitude.
- Vector Quantities: Physical quantities that have both magnitude and direction and obey the laws of vector algebra (specifically vector addition) are called vectors.
- The note emphasizes that having magnitude and direction alone is not sufficient; the laws of algebra must be followed ().
Representation of a Vector
- Visual Representation: A vector is represented by a directed line segment (an arrow).
- Components of the Representation:
- Tail (Initial Point): The starting point of the vector arrow.
- Head (Terminal Point): The ending point or tip of the arrow.
- Length of Arrow: Directly represents the magnitude of the vector.
- Direction of Arrow: Represents the direction of the vector.
- Symbolic Representation: A vector is typically denoted as . Its magnitude is denoted by
Special Types of Vectors
Zero Vector (Null Vector):
- Definition: A vector with zero magnitude where the initial and terminal points coincide.
- Notation: Denoted by .
- Magnitude: .
- Direction: The direction of a zero vector is considered arbitrary.
- Properties:
- is analogous to .
- is analogous to .
- is analogous to .
- Example: A boy throwing a ball straight up and catching it back; the total displacement of the ball is a null vector.
Unit Vector:
- Definition: A vector whose magnitude is exactly one unit.
- Purpose: The primary concept of a unit vector is to impart direction to a physical quantity or to write a vector of a specific magnitude in a specific direction.
- Formula: .
- Magnitude: .
- Usage: To write a vector of magnitude 10 along , compute .
Equal Vectors:
- Two vectors are equal () if and only if they meet three criteria:
- Same Magnitude:
- Same Direction: The arrows must point the same way.
- Same Physical Quantity: They must represent the same type of physical phenomenon.
- Line of Support: They must have the same or parallel lines of support.
- Two vectors are equal () if and only if they meet three criteria:
Multiplication of Vectors by Scalars
- Scalar Multiplication: If is a vector and is a scalar, then is a vector parallel to with a magnitude times the magnitude of .
- Mathematical Properties:
- Associative:
- Distributive over Vector Addition:
- Distributive over Scalar Addition:
- Important Rule:
- Example: For , the magnitude is
Kaam ki Baat: Unit Vectors in Space
- Perpendicular to a Given Plane: There are exactly 2 distinct unit vectors perpendicular to a given plane (one pointing upward and one downward).
- Parallel to a Given Plane: There are infinitely many unit vectors parallel to a given plane.
- Perpendicular to a Given Line: In 3D space, there are infinitely many distinct unit vectors perpendicular to a given line (forming a disk/plane of vectors around the line).
Localized (Bound) vs. Free Vectors
- In Mathematics:
- A vector is viewed as a "directed line segment."
- We primarily deal with Free Vectors. A free vector can be translated parallel to itself in space without changing its identity or effect. Example: Velocity.
- In Physics:
- Localized or Bound Vectors are common. These are vectors where the point of application matters. Moving the vector parallel to itself changes its physical effect. Example: Force.
Collinear (Parallel) Vectors
- Definition: Two vectors are collinear if their directed line segments are parallel, regardless of their individual directions.
- Classification:
- Like Parallel Vectors: Same direction ().
- Unlike Parallel Vectors: Opposite directions ().
- Mathematical Condition: Two non-zero vectors and are collinear if and only if for some scalar .
Golden Result (G1): Non-Collinear Vectors
- Theorem: If and are two non-zero, non-collinear vectors, then:
- Proof by Contradiction:
- Assume .
- Then .
- This implies , meaning and are collinear, which contradicts the initial condition.
- General Application: If , then and .
Golden Result (G2): The Median Vector
- Theorem: In triangle , if is the median from vertex to side , then:
- Parallelogram Law Connection: The sum of two vectors emanating from a vertex () is equal to twice the median vector drawn to the opposite side.
- Extensions:
- (where is the median to ).
- (where is the median to ).
Position Vectors and Coordinate Geometry
- Definition: The position vector of a point relative to a fixed origin is denoted as , or simplified as .
- Difference Vector: For any two points and in space:
- Coordinates in 3D: If point has coordinates , its position vector is:
- Magnitude in 3D: The length of the vector is:
Section Formula
- Internal Division: If point divides the line segment joining and internally in the ratio :
- Midpoint Formula (when ):
- External Division: If point divides the segment externally in the ratio :
- General Coordinate Relation: If , then:
Position Vectors of Important Triangle Centers
- Centroid (): The point of intersection (POI) of medians.
- Incentre (): The POI of internal angle bisectors.
- where are the lengths of the sides opposite to vertices .
- Circumcentre (): The POI of perpendicular bisectors of sides.
- Orthocentre (): The POI of altitudes.
- Euler Line Property: In any triangle, the Orthocentre (), Centroid (), and Circumcentre () are collinear. The Centroid () divides the segment in the ratio .
Solved Classroom Problems
Problem 1: Length of Median
- Given sides: and .
- Formula: .
- .
- Length: .
Problem 2: Unit Vectors Perpendicular to two given vectors
- Given: and .
- The number of unit length vectors perpendicular to two non-parallel vectors in space is 2.
Problem 3: Linear Independence/Collinearity
- Given: are non-zero, no two collinear. If is collinear with and is collinear with .
- Equations: and .
- Through substitution and comparing non-collinear components: and .
- Result: .
Problem 4: Collinear Points (JEE Mains 2023)
- Given Points: , , .
- Method: Vectors and must be collinear ().
- .
- .
- Comparing components: .
- Calculated values: and .
- Result: .
Problem 5: Component Rotation (JEE Mains 2021)
- Vector comp in Rectangular system: .
- Vector comp in Rotated system: .
- Property: Magnitude remains invariant under rotation.
- Equation: .
- .
- Roots: .
Question & Discussion (TAH and KTK Solutions)
Differential Equations (Revision Practice)
- TAH 1(a) (Solution by Tushar Verma): Radium decay rate . Resulting law: .
- TAH 1(b) (Solution by Rohit Patil): Solve .
- Integrating once: .
- Final solution: .
- TAH 1(c) (Solution by Tushar Verma/Rohit Patil): Solve .
- Integrations yield: .
- TAH 1(d) (Solution by Tushar Verma/Rohit Patil): Solve .
- Using identity .
- .
- TAH 2(a) (Solution by Aditya Singh Tomar): . Passing through .
- Linear differential equation form leads to .
- Limiting value: .
- TAH 3 (Solution by Aditya Singh Tomar): .
- Solving as linear differential equation gives .
- Limits check: .
- TAH 4 (Solution by Pranay Thakur): Solution of with .
- Result: .
- TAH 8 (Solution by Himanshu Saini): Solve .
- Integrating factor .
- Solution: .
- Value at : .
- KTK 1 (Solution by Prithvi Raj): .
- Substitution . Solution relates to form .
- Result: .
- KTK 5 (Solution by Rohit Patil): , .
- Bernoulli equation solved by setting .
- Solution involves .