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Linear Algebra by Mind Map: Linear Algebra

1. Rank

2. Subspicies,a partial case - blue arrow Properties - red arrow Descriptive concept - green Form - purple Component - orange Corollary - grey

3. Determinant

3.1. non-zero

3.2. zero

4. Minor

4.1. Cofactor

4.1.1. Adjugate matrix

5. Vector space

5.1. subspace

5.1.1. null space

5.1.2. column space

5.1.3. row space

5.1.4. left nullspace

5.2. dimension

5.2.1. finite-dimension

5.2.2. infinite-dimension

6. Linear Combinations

6.1. linearly independent

6.2. linearly dependent

7. Span

8. Composition

9. Distance

9.1. shortest

10. Norm

10.1. Euclidean

10.2. Manhattan

10.3. maximum-coordinate

11. Theorems for orthogonality

11.1. Least square solution

11.2. Pythagorean theorem

11.3. Triangle inequality

11.4. Cauchy–Bunyakovsky–Schwarz inequality

12. Regression

12.1. Linear

12.2. Polynomial

12.3. Multiple

13. Projection

13.1. line

13.2. subspace

14. Linear Systems

14.1. Ax=b, b - any number

14.1.1. Homogeneous

14.1.2. Non-homogeneous

15. Solutions

15.1. Elimination

15.1.1. Gaussian- and Jordan elimination

15.2. Substitution

15.3. Graphing

15.4. Conjugate gradient method

16. Matrices

16.1. Special

16.1.1. zero

16.1.2. square

16.1.3. diagonal

16.1.4. identity

16.1.5. elementary

16.1.6. rectangular

16.1.7. similar

16.1.8. unitary

16.1.9. idempotent

16.1.10. symmetric

16.1.10.1. Hermitan

16.1.11. anti-symmetric

16.1.11.1. Skew - Hermitan

16.2. Transformed

16.2.1. REF

16.2.1.1. RREF

16.2.2. Triangular

16.2.2.1. upper triangular

16.2.2.2. lower triangular

17. Uniqness

18. Existence

19. Consistence

20. Variables

20.1. Free var.

20.2. Pivot

21. Vectors

22. Invertibility

22.1. Invertible matrix

22.1.1. Right- and left-invertibility

22.1.2. Invertibility of a product

22.2. Non-invertible matrix

22.3. Pseudo-invertible matrix

23. Operations

23.1. basic

23.1.1. elementary row

23.2. multiplication

23.2.1. vector-vector

23.2.2. matrix-matrix

23.2.3. vector-matrix

24. Basis

25. Coordinates with respect to basis

26. Coordinate Mapping

26.1. linear

26.2. isomorphic

27. Transformations

27.1. Change of basis

28. Orthogonality

28.1. Orthogonal

28.2. Orthonormal

29. Decomposition

29.1. Orthogonal

29.2. LU

29.3. Gram–Schmidt

29.4. QR

29.4.1. reduced

29.4.2. full

29.4.3. Householder’s reflections

29.5. Spectral

29.6. Cholesky

29.7. Polar

29.8. SVD

30. Quadratic form

30.1. positive definite

30.2. positive semidefinite

30.3. negative definite

30.4. negative semidefinite

30.5. indefinite

31. Eigenvector

31.1. bounds

32. Eigenvalue

32.1. singular value

33. Singularity

33.1. Singular

33.2. Non-singular

34. Diagonalization