Finding Kernel, Image, Rank, Nullity of Matrix

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SUMMARY

The discussion focuses on finding the Kernel, Image, Rank, and Nullity of a specific matrix. The matrix provided is reduced to its row-reduced echelon form (RREF) as follows:

3 0 1 3
0 3 -2 0
0 0 0 0
The Kernel consists of vectors satisfying the equations derived from the matrix, while the Image represents all vectors that can be expressed as Ax = v for some vector x. The Rank is determined by the number of leading 1s in the RREF, and the Nullity is the dimension of the Kernel.

PREREQUISITES
  • Understanding of linear algebra concepts such as matrices and vector spaces.
  • Familiarity with row-reduced echelon form (RREF) and its significance.
  • Knowledge of the definitions of Kernel and Image in the context of linear transformations.
  • Ability to solve systems of linear equations.
NEXT STEPS
  • Study the process of finding the RREF of matrices using Gaussian elimination.
  • Learn how to compute the Rank and Nullity of matrices using the Rank-Nullity Theorem.
  • Explore examples of finding the Kernel and Image for various matrices.
  • Investigate applications of Kernel and Image in linear transformations and their implications in higher dimensions.
USEFUL FOR

Students of linear algebra, educators teaching matrix theory, and anyone involved in mathematical modeling or computational mathematics.

Marakh
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Homework Statement


Find Kernel, Image, Rank and Nullity of the matrix
1 −1 1 1 
| 1 2 −1 1 |
0 3 -2 0 

Homework Equations

The Attempt at a Solution


I have reduced the matrix into rref of
3 0 1 3
0 3-2 0
0 0 0 0
But am struggling to find the column vectors which are the solutions of that, which I believe is the kernel
And then I know that the rank and nullity are the dimensions of the image and kernel respectively
 
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The "kernel" of matrix A is the set of all vectors v such that Av= 0. If you write vector v as (a, b, c, d) then any vector in the kernel must satisfy a- b+ c+ d= 0, a+ 2b- c+ d= 0, and 3b- 2c= 0. The "image" is the set of all vectors, v, such that Ax= v for some vector x. If we write vector x as (a, b, c, d) then v must be (x, y, z) such that a- b+ c+ d= x, a+ 2b- c+ d= y, and 3b- 2c= z for some numbers a, b ,c, and d.
 

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