Linear independence
A vector list is linearly independent when its zero-combination equation has only the all-zero coefficient solution.
On this page 7 sections
01For u=(1,0) and v=(0,1), the equation au+bv=0 becomes (a,b)=(0,0)#
For and , the equation becomes . Every coefficient must vanish.
This list is linearly independent: only the all-zero coefficient choice produces the zero vector.
Solve for real .
All-zero coefficients are the trivial solution. A free coefficient permits a nonzero choice: dependence. No free coefficient means independence.
Here and . Choosing coefficients cancels both coordinates, so the list is dependent.
, . Which proves dependence via ?
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.
02A list containing the zero vector is dependent#
A list containing the zero vector is dependent. For and , the coefficients give .
A dependence relation needs at least one nonzero coefficient. It need not use every vector.
Channels: A adds , B adds per real weight. Nontrivial cancellation?
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forces .
03For u=(1,0), v=(0,1) and w=(1,1), no two vectors are multiples#
For , and , no two vectors are multiples. Yet .
Checking each pair is insufficient for a larger list. Test the whole coefficient equation.
For , refute Sam’s claim of independence.
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The relation uses nonzero coefficients.
Only the all-zero coefficient solution means independence.
- Test independence using the whole zero-combination equation.
Sources & further reading
- [1]Dan Margalit and Joseph Rabinoff, Interactive Linear Algebra (June 3, 2019), §2.5.1 ↗Georgia Tech · Interactive Linear Algebra · Book