In: Advanced Math
QUESTION 1
Vector Space Axioms
Let V be a set on which two operations, called vector addition and vector scalar multiplication, have been defined. If u and v are in V , the sum of u and v is denoted by u + v , and if k is a scalar, the scalar multiple of u is denoted by ku . If the following axioms satisfied for all u , v and w in V and for all scalars k and l , then V is called a vector space and its elements are called vectors.
1) u + v is in V
2) u + v = v + u
3) (u + v) + w = u + (v + w)
4) 0 + v = v
5) v + (−v) = 0
6) ku is in V
7) k(u + v) = ku + kv
8) (k + l)u = ku + lu
9) k(lu) = (kl)(u)
10) 1v = v
Task: Show that the set V of all 3×3 matrices with distinct entries and also combination of positive and negative numbers is a vector space if vector addition is defined to be matrix addition and vector scalar multiplication is defined to be matrix scalar multiplication.
QUESTION 2
Suppose u, v, and w are all vectors in a vector space V and c is any scalar. An inner product on the vector space V is a function that associates with each pair of vectors in V, say u and v, a real number denoted by u, v that satisfies the following axioms.
(a) < u, v > = < v, u > (Symmetry axiom)
(b) < u + v, w > = < u, w + v, w > (Additive axiom)
(c) < cu, v > = < c u, v > (Homogeneity axiom)
(d) < u, u > ≥ 0 and < u, u > = 0 if and only if u = 0 (Positivity axiom)
A vector space along with an inner product is called an inner product space.
Task: Show that the set V of all 3×3 matrices with distinct entries and also combination of positive and negative numbers is a inner product space if vector addition is defined to be standard matrix addition and vector scalar multiplication is defined to be matrix scalar multiplication.