Define an operation of scalar multiplication in vector space
Answers
Answered by
0
Definition: A vector space is a set V on which two operations + and · are defined, called vector addition and scalar multiplication.
The operation + (vector addition) must satisfy the following conditions:
Closure: If u and v are any vectors in V, then the sum u + v belongs to V.
(1) Commutative law: For all vectors u and v in V, u + v = v + u
(2) Associative law: For all vectors u, v, win V, u + (v + w) = (u + v) + w
(3) Additive identity: The set V contains an additive identity element, denoted by 0, such that for any vector v in V, 0 + v = v and v + 0 = v.
(4) Additive inverses: For each vector v in V, the equations v + x = 0 and x + v = 0 have a solution x in V, called an additive inverse of v, and denoted by - v.
The operation + (vector addition) must satisfy the following conditions:
Closure: If u and v are any vectors in V, then the sum u + v belongs to V.
(1) Commutative law: For all vectors u and v in V, u + v = v + u
(2) Associative law: For all vectors u, v, win V, u + (v + w) = (u + v) + w
(3) Additive identity: The set V contains an additive identity element, denoted by 0, such that for any vector v in V, 0 + v = v and v + 0 = v.
(4) Additive inverses: For each vector v in V, the equations v + x = 0 and x + v = 0 have a solution x in V, called an additive inverse of v, and denoted by - v.
Answered by
0
here is question's answer
Definition: A vector space is a set V on which two operations + and · are defined, called vector addition and scalar multiplication.
There are many conditions-
•Closure: If u and v are any vectors in V, then the sum u + v belongs to V.
(1) Commutative law: For all vectors uand v in V, u + v = v + u
(2) Associative law: For all vectors u, v, win V, u + (v + w) = (u + v) + w
(3) Additive identity: The set V contains an additive identity element, denoted by 0, such that for any vector v in V, 0 + v= v and v + 0 = v.
(4) Additive inverses: For each vector v in V, the equations v + x = 0 and x + v = 0 have a solution x in V, called an additive inverse of v, and denoted by - v
Definition: A vector space is a set V on which two operations + and · are defined, called vector addition and scalar multiplication.
There are many conditions-
•Closure: If u and v are any vectors in V, then the sum u + v belongs to V.
(1) Commutative law: For all vectors uand v in V, u + v = v + u
(2) Associative law: For all vectors u, v, win V, u + (v + w) = (u + v) + w
(3) Additive identity: The set V contains an additive identity element, denoted by 0, such that for any vector v in V, 0 + v= v and v + 0 = v.
(4) Additive inverses: For each vector v in V, the equations v + x = 0 and x + v = 0 have a solution x in V, called an additive inverse of v, and denoted by - v
Similar questions
Social Sciences,
6 months ago
Biology,
6 months ago
Social Sciences,
6 months ago
Math,
1 year ago
Math,
1 year ago
CBSE BOARD XII,
1 year ago
Biology,
1 year ago