The aim of this question is to comprehend the key linear algebra concepts of vector spaces and vector subspaces.
A vector space is defined as a set of all vectors that fulfill the associative and commutative properties for vector addition and scalar multiplication operations. The minimum no. of unique vectors required to describe a certain vector space is called basis vectors. A vector space is an n-dimensional space defined by linear combinations of basis vectors.
Mathematically, a vector space V must fulfill the following properties:
– Commutative Property of Vector Addition:
– Associative Property of Vector Addition:
– Additive Identity:
– Additive Inverse:
– Multiplicative Identity:
– Distributive Property:
A subspace
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Expert Answer
Property (1): Check if
Let:
Then for any matrix F:
So
Property (1): Check if
Let:
Then, from distributive property of matrices:
Since:
and also:
So H is closed under addition.
Property (3): Check if
Let:
From scalar properties of matrices:
Since:
And:
So,
Numerical Result
Example
– Any plane
– Any line