- #1
LarryS
Gold Member
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My formal education in Linear Algebra was lacking, so I have been studying that subject lately, especially the subject of Linear Independence.
I'm looking for functions that would qualify as measures of linear independence.
Specifically, given a real-valued vector space V of finite dimension N, consider two subsets of V, A and B, both of which are linear independent and contain N vectors each. A is also orthogonal and B is definitely not orthogonal. What would qualify as a real-valued measure of linear independence, m, for which m(A) > m(B)? Suggestions?
Thanks in advance.
I'm looking for functions that would qualify as measures of linear independence.
Specifically, given a real-valued vector space V of finite dimension N, consider two subsets of V, A and B, both of which are linear independent and contain N vectors each. A is also orthogonal and B is definitely not orthogonal. What would qualify as a real-valued measure of linear independence, m, for which m(A) > m(B)? Suggestions?
Thanks in advance.