Vector and Vector Space in Linear Algebra
by Bindeshwar Singh Kushwaha
PostNetwork Academy
Definition of ℝn
The set of all n-tuples of real numbers is denoted by ℝn:
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 ℝ.
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 by0
.
Example of Vectors
The following are vectors:
(2, -5), (7, 9)
→ elements of ℝ2(0, 0, 0)
→ zero vector in ℝ3(3, 4, 5)
→ vector in ℝ3- The first two belong to ℝ2, the last two to ℝ3.
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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