Rank and Nullity in Linear Algebra

Rank and Nullity
 
 
零度
Rank and Nullity
 
The 
rank
 of a matrix is defined as the maximum
number of
 linearly independent columns
Nullity
 = Number of columns - 
rank
 
 
maximum
Independent set
 
所有
登庸武將
 
最大沒人
耍廢軍團
Rank and Nullity
 
以下是最土炮的作法
 
dependent
 
dependent
 
dependent
 
dependent
 
independent
 
independent
 
independent
Rank and Nullity
 
Assume the three
columns are independent
 
If A is a mxn matrix (n columns)
Rank A = n
Nullity A = 0
Columns of A are
independent
Summary
No
solution
YES
Rank
 A = n
Nullity
 A = 0
Unique solution
Rank
 A < n
Nullity
 A > 0
Infinite solution
NO
 
=
 
=
Slide Note

次序、規則、條理。如:「秩序」。

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The rank of a matrix is the maximum number of linearly independent columns, while the nullity is obtained by subtracting the rank from the number of columns. Linearly independent columns form the basis for the rank of a matrix, helping determine if a given matrix has a unique solution, infinite solutions, or no solution. Explore the concepts further through examples and discussions on column independence and linear combinations.

  • Linear Algebra
  • Rank
  • Nullity
  • Independent Columns
  • Unique Solution

Uploaded on Sep 12, 2024 | 0 Views


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  1. Rank and Nullity

  2. Rank and Nullity The rank of a matrix is defined as the maximum number of linearly independent columns Nullity = Number of columns - rank ???? ? = 4 ??????? ? = 2 ? = maximum Independent set

  3. Rank and Nullity 1 2 3 3 6 9 10 20 30 ???? ? =?,??????? ? =? ? = 1 2 3 3 6 9 10 20 30 1 2 3 3 6 9 1 2 3 10 20 30 3 6 9 10 20 30 , , , , , dependent dependent dependent dependent ???? ? = 1 1 2 3 3 6 9 10 20 30 ??????? ? = 2 independent independent independent

  4. Rank and Nullity 3 7 0 2 9 0 1 0 2 ???? ? =?3 A = ??????? ? =?0 Assume the three columns are independent If A is a mxn matrix (n columns) Rank A = n Columns of A are independent Nullity A = 0

  5. ???? ? =?1 ? =1 3 6 4 8 2 ??????? ? =?2 0 0 0 0 0 0 0 0 0 ???? ? =?0 0 0 0 ? = ??????? ? =?3 ? =0 3 5 ? =5 0 2 ???? ? =?1 ???? ? =?1 ??????? ? =?0 ??????? ? =?1

  6. Summary ? ?? ? ?? ?:? ? Is ? in the span of the columns of ?? Is ? a linear combination of columns of ?? YES NO The columns of ? are independent. The columns of ? are dependent. No solution = = Rank A = n Rank A < n Nullity A = 0 Unique solution Nullity A > 0 Infinite solution

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