Vector and Vector Space in Linear Algebra

Vector and Vector Space in Linear Algebra

by Bindeshwar Singh Kushwaha

PostNetwork Academy

Definition of n

The set of all n-tuples of real numbers is denoted by n:

u = (a1, a2, ..., an)

  • Each u is called a point or vector.
  • The components ai are called coordinates, components, entries, or elements.
  • The term scalar is used for elements of .

Equality of Vectors and the Zero Vector

  • Two vectors u and v are equal (u = v) if:
    • They have the same number of components, and
    • Corresponding components are equal.
  • Example: (1,2,3) ≠ (2,3,1) even though they contain the same numbers.
  • The vector (0, 0, ..., 0) is called the zero vector, denoted by 0.

Example of Vectors

The following are vectors:

  • (2, -5), (7, 9) → elements of 2
  • (0, 0, 0) → zero vector in 3
  • (3, 4, 5) → vector in 3
  • The first two belong to 2, the last two to 3.

Definition of a Vector Space

Let V be a nonempty set with two operations:

  • Vector Addition: Assigns to any u, v ∈ V a sum u + v ∈ V.
  • Scalar Multiplication: Assigns to any u ∈ V, k ∈ K a product ku ∈ V.

Then V is a vector space over the field K if the following axioms hold for all vectors u, v, w ∈ V:

Vector Space Axioms

  • [A1] (u + v) + w = u + (v + w)
  • [A2] There exists 0 ∈ V such that u + 0 = 0 + u = u
  • [A3] For each u ∈ V, there exists -u ∈ V such that u + (-u) = (-u) + u = 0
  • [A4] u + v = v + u
  • [M1] k(u + v) = ku + kv, for k ∈ K
  • [M2] (a + b)u = au + bu, for a, b ∈ K
  • [M3] a(bu) = (ab)u, for a, b ∈ K
  • [M4] 1u = u, for the unit scalar 1 ∈ K

Remarks

  • The additive structure forms a commutative group.
  • Vector sum v1 + v2 + … + vn is associative.
  • Zero vector is unique, and each vector has a unique negative.
  • If u + w = v + w, then u = v (Cancellation Law).
  • Subtraction: u – v = u + (-v)

Vector Space: Kn

Let K be a field. Then Kn is the set of all n-tuples of elements in K:

Kn = {(a1, a2, ..., an) | ai ∈ K}

  • Vector Addition: (a1, ..., an) + (b1, ..., bn) = (a1 + b1, ..., an + bn)
  • Scalar Multiplication: c(a1, ..., an) = (ca1, ..., can)
  • Zero vector: (0, 0, ..., 0)
  • Negative of a vector: -(a1, ..., an) = (-a1, ..., -an)

Polynomial Space P(ℝ)

Let P(ℝ) be the set of all polynomials:

p(x) = a0 + a1x + a2x2 + ... + anxn

  • Vector Addition: (p + q)(x) = p(x) + q(x)
  • Scalar Multiplication: (ap)(x) = a ċ p(x)
  • Zero polynomial is 0(x) = 0

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Vector Space

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