Linear Combination of Vectors
A linear combination is the sum of products between vectors and their corresponding scalars.
To provide some context, consider a vector space, V, defined over a field K. In one of my explorations, I selected m vectors from this space, denoted as v1,...,vm ∈ V. Concurrently, I identified a set of scalars,α1,...,αm ∈ K from K. The linear combination of these vectors and scalars is: v=α1v1+...+αmvm
What remains compelling to me is that this resultant vector still firmly resides within V. This is attributed to the foundational operations employed - addition and multiplication - which consistently produce results intrinsic to V.
Example
For clarity, I'll elucidate with an example.
Within the confines of the R3 field for a vector space, V, I once delineated two vectors:
v1={4,5,6} v2={7,8,9}
For this particular study, I also incorporated two scalars from the real number domain:
α1=1,α2=2
The linear combination of these vectors, facilitated by the scalars, was derived by multiplying each vector by its scalar and subsequently aggregating the results:
v=α1v1+α2v2
Sequentially, this evolved as:
v=1⋅v1+2⋅v2
v=1⋅{4,5,6}+2⋅{7,8,9}
v={4,5,6}+{14,16,18}
v={4+14,5+16,6+18}
v={18,21,24}
Upon conclusion, I discerned that the vector \{ 18,21,24 \} was the culmination of the vectors and scalars I had initially chosen.
Trivial linear combination
However, a pertinent consideration arose: What if all the scalars were zero? This scenario ushers in the concept of the trivial linear combination:
v=0⋅v1+...+0⋅vm
Herein:
{α1,...,αm}={0,...,0}
The inevitable conclusion? The vector, v, invariably equates to zero, synonymous with a null vector.
v=0