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Homogeneous Equations Revisited Definitions Criteria for (in)dependence Independence versus Dependence
Linear Dependence and Independence
A. Havens
Department of Mathematics
University of Massachusetts, Amherst
February 7, 2018
A. Havens Linear Dependence and Independence
Homogeneous Equations Revisited Definitions Criteria for (in)dependence Independence versus Dependence
Outline
1 Homogeneous Equations Revisited
ANewPerspective on Ax = 0
Dependency Relations from Nontrivial Solutions
2 Definitions
Non-triviality and Dependence
Linear Independence
3 Criteria for (in)dependence
Special Cases in Low Dimensions
The Theory of Independence in ≥ 3 Variables
4 Independence versus Dependence
Essential Ideas of linear (in)dependence
A. Havens Linear Dependence and Independence
Homogeneous Equations Revisited Definitions Criteria for (in)dependence Independence versus Dependence
A New Perspective on Ax = 0
Nontrivial Linear Combinations Equal to 0
Reconsider the meaning of a nontrivial solution x 6= 0 ∈ Rn to a
homogeneous system
Ax=0∈Rm.
If the columns of A are a ,...,a , then this means there is a linear
1 n
combination
x a +...+x a =0,
1 1 n n
where at least one of the coefficients x is nonzero.
i
Now, this could be uninteresting (e.g. if the matrix A is full of only
zeroes), but we know of examples of nontrivial solutions to
nontrivial systems.
A. Havens Linear Dependence and Independence
Homogeneous Equations Revisited Definitions Criteria for (in)dependence Independence versus Dependence
A New Perspective on Ax = 0
An Example with Nontrivial Solutions
For example, the system
2 3 −1 x1
1 2 1 x =0
4 5 −5 x2
3
| {z }| {z }
A x
has infinitely many solutions, corresponding to the line of
intersection of the three planes with equations 2x1 + 3x2 − x3 = 0,
x +2x +x =0, and 4x +5x −5x =0.
1 2 3 1 2 3
A. Havens Linear Dependence and Independence
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