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Linear Indepence and Dependence

Last updated Feb 23, 2022 Edit Source

A set of vectors are linearly dependent if:

[v1v2v3vn]x=0 \begin{bmatrix} v_1 & v_2 & v_3 & … & v_n \end{bmatrix} x = 0

only has the Trivial Solution as a solution.

It can also be said that the set is linearly dependent if a vector in the set is a linear combination of one or more vectors in the set.

Linear dependency is also present if given a set of vectors v1,v2,,vn{v_1, v_2, …, v_n}, the equation c1v1+c2v2++cnvn=0c_1v_1 + c_2v_2 + … + c_nv_n = 0 can be satisfied where not all the constants are 0.

If there are more than nn vectors in the set, each of which of size Rn\mathbb{R}^n cannot be linearly independent.

If the zero vector is in the set, it is linearly dependent


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Linear Indepence and DependenceTrivial SolutionConditions For DiagonalizationBasis VectorsDiagonalization