Introduction to Vectors - Linear Algebra | Lecture Notes - YNetStudyHub
Linear Algebra

Introduction to Vectors

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Define vectors, discuss vector representation, operations (addition, subtraction, scalar multiplication), magnitude, unit vectors, and direction.

Introduction to Vectors
Key concepts, definitions, and operations for a solid foundation in vector mathematics.


1. What Is a Vector?

Aspect Description
Definition A quantity that has both magnitude (size) and direction.
Notation Usually boldface v, an arrow (\vec{v}), or a letter with a hat for a unit vector (\hat{v}).
Examples Displacement, velocity, acceleration, force, electric field.
Contrast with Scalars Scalars have only magnitude (e.g., mass, temperature, time).

2. Representing Vectors

2.1 Geometric (Arrow) Form

  • Draw an arrow from point A (tail) to point B (head).
  • Length ∝ magnitude, orientation ∝ direction.

2.2 Component (Algebraic) Form

  • In a Cartesian coordinate system (2‑D or 3‑D): [ \vec{v}= \langle v_x, v_y \rangle \quad \text{(2‑D)} \qquad \vec{v}= \langle v_x, v_y, v_z \rangle \quad \text{(3‑D)} ]
  • Components are projections of the vector onto the coordinate axes.

2.3 Unit Vectors

  • A unit vector has magnitude 1 and indicates direction.
  • Standard basis vectors: [ \hat{i} = \langle 1,0,0\rangle,; \hat{j}= \langle 0,1,0\rangle,; \hat{k}= \langle 0,0,1\rangle ]
  • Any vector can be expressed as a linear combination: [ \vec{v}= v_x\hat{i}+v_y\hat{j}+v_z\hat{k} ]

3. Vector Magnitude (Length)

For a vector (\vec{v}= \langle v_x, v_y, v_z\rangle):

[ |\vec{v}| = \sqrt{v_x^2 + v_y^2 + v_z^2} ]

  • In 2‑D, drop the (v_z) term.
  • The magnitude is always non‑negative.

4. Vector Operations

Operation Symbol Formula (3‑D) Geometric Meaning
Addition (\vec{u}+\vec{v}) (\langle u_x+v_x,; u_y+v_y,; u_z+v_z\rangle) “Tip‑to‑tail” (parallelogram)
Subtraction (\vec{u}-\vec{v}) (\langle u_x-v_x,; u_y-v_y,; u_z-v_z\rangle) Vector from the head of v to the head of u
Scalar Multiplication (c\vec{v}) (\langle c,v_x,; c,v_y,; c,v_z\rangle) Stretches/compresses magnitude; reverses direction if (c<0)
Dot (Scalar) Product (\vec{u}\cdot\vec{v}) (u_xv_x+u_yv_y+u_zv_z = \
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Unit Syllabus 9 Topics
Introduction to Vectors
Vector Spaces
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Matrix Operations
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Determinants and Inverses
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Systems of Linear Equations
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Eigenvalues and Eigenvectors
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Linear Transformations
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Orthogonality
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Inner Product Spaces
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