4.1 Vector Space and Subspaces

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• Vector Space에서 가능한 공리 10가지
• Vector Space : Zero Vector, Closed Add, Scalar multiplicaiton
• Subspace : 어떤 vector space의 부분집합이면서, vector space의 조건을 만족하는 집합

Problem

12 Col Vector가 Sub R^n의 Subspace 임을 보이기

13

4.2 Null Space, Column Space, Row Space, and LinearTransformations

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4.3 Linearly Independet Sets; Bases

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4.4 Coordinate Systems

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4.5 Dimension of a Vector Space

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4.6 Change of Basis

P(B->C)

5.1 Eigenvectors and Eigenvalues

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5.2 The Characteristics Equation

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5.3 Diagonalization

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5.4 Eigenvectors and Linear Transformation

• Example 4 : Matrix C 구하기
  

5.5

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