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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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