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【讀書筆記】:MIT線性代數(4):Independence, Basis and Dimension

Independence:

The columns of A are independent when the nullspace N (A) contains only the zero vector.

【讀書筆記】:MIT線性代數(4):Independence, Basis and Dimension

Example1:

1. If three vectors are not in the same plane, they are independent. No combination of V1, V2, V3 in Figure 3.4 gives zero except 0V1 + 0V2 + 0V3.

2. If three vectors W1, W2, W3 are in the same plane, they are dependent.

【讀書筆記】:MIT線性代數(4):Independence, Basis and Dimension
【讀書筆記】:MIT線性代數(4):Independence, Basis and Dimension

Example2:

【讀書筆記】:MIT線性代數(4):Independence, Basis and Dimension
【讀書筆記】:MIT線性代數(4):Independence, Basis and Dimension
【讀書筆記】:MIT線性代數(4):Independence, Basis and Dimension

 Vectors that Span a Subspace:

【讀書筆記】:MIT線性代數(4):Independence, Basis and Dimension

A basis of a vector space:

【讀書筆記】:MIT線性代數(4):Independence, Basis and Dimension

Every vector v in the space is a combination of the basis vectors, because they span the space.There is one and only one way to write v as a combination of the basis vectors.

Dimension:

【讀書筆記】:MIT線性代數(4):Independence, Basis and Dimension

The dimension of C(A) is the rank of matrix A. The dimension of N(A) is the number of free variables(n-r)!

【讀書筆記】:MIT線性代數(4):Independence, Basis and Dimension