Can Rank Multiplication Help Prove a Linear System Statement?

In summary, the statement "Show that rank(A+B) \leq rank(A) + rank(B) for every A,B \in Mm,n (Real)" can be proven by considering the columns of matrices A and B as vectors and understanding that the rank of A+B cannot exceed the sum of the ranks of A and B due to possible linear dependencies between the vectors. This can be expressed mathematically by taking linear combinations of vectors and showing that the result cannot be an independent vector.
  • #1
annoymage
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Homework Statement



Show that rank(A+B) [tex]\leq[/tex] rank(A) + rank (B)

for every A,B [tex]\in[/tex] Mm,n (Real)

Homework Equations



N/A

The Attempt at a Solution



i only know how to proof this

rank(AB) [tex]\leq[/tex] rank(A) or rank(B),



and can this "rank(AB) [tex]\leq[/tex] rank(A) or rank(B)" help me to prove the above statement? can someone help me, to prove the above statement
 
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  • #2
I'm not really sure whether it's a fine proof, so please correct me. And forgive my English, never read anything abt algebra in English :).

Let A and B be nxm matrices. Let's consider their columns as the columns of vector coordinates over the same vector space. Now rank(A) and rank(B) are the numbers of lineary independent vectors in each matrix respectively. Adding those two matrices, you are adding vectors. As there can be some linear dependencies between vectors in A and B, rk(A+B) can not overcome rk(A)+rk(B), as it still is nxm matrix. Basically speaking, by taking linear combinations of vectors, you can not get an independent vector, according to the very deffinition itself.

Huh, I hope one can understand what I wanted to write ;).
 
  • #3
thanks i get it, and i will try convert that to mathematical form,

thank you
 
  • #4
yep, good thinking
 

FAQ: Can Rank Multiplication Help Prove a Linear System Statement?

What is a linear system?

A linear system is a set of linear equations that can be solved together to find the values of unknown variables.

How can a linear system be solved?

A linear system can be solved using various methods such as substitution, elimination, or matrix operations.

What does it mean to prove a linear system?

Proving a linear system means to show that the given set of equations has a unique solution or infinite solutions.

What are some applications of solving linear systems?

Linear systems are commonly used in fields such as engineering, physics, economics, and computer science to model and solve real-world problems.

Can a linear system have no solution?

Yes, a linear system can have no solution if the equations are inconsistent or if they represent parallel lines that do not intersect.

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