Linear algebra proofs (linear equations/inverses)

In summary: You can try to do this by substitution, but it's probably easier to just use the equations in each system and solve for x. In summary, the first question asks if two systems of linear equations in two unknowns are equivalent if their solutions are the same. The answer is no, because the first system is inverses the second. The second question asks if the matrix A is invertible, and if so, what is the determinant? The answer is that the determinant is not 0, so the matrix is invertible.
  • #1
yankans
12
0

Homework Statement



Two problems.
(1) Prove that if two homogeneous systems of linear equations in two unknowns have the same solutions, then they are equivalent.

(2) Can you prove that the matrix
A = [1 1/2 ... 1/n
1/2 1/3 ...1/(n+1)
...
1/n 1/(n+1)...1/(2n-1)]
is invertible and that A^(-1) has integer entries?

Homework Equations


(1) Perhaps the theorem - Equivalent systems of linear equations have the same solutions? It is the other way round.

(2)hmm...I don't know of "relevant equations"

The Attempt at a Solution


Not very sure how to start. For the first one, tried to construct arbitrary matrices A and B to represent two different homogeneous systems, but didn't get very far.
For (2), tried row-reducing the matrix > echelons but don't know how a proof will result...
 
Physics news on Phys.org
  • #2
I think #1 is false, actually, unless they mean row-equivalent.
 
  • #3
yankans said:

Homework Statement



Two problems.
(1) Prove that if two homogeneous systems of linear equations in two unknowns have the same solutions, then they are equivalent.

(2) Can you prove that the matrix
A = [1 1/2 ... 1/n
1/2 1/3 ...1/(n+1)
...
1/n 1/(n+1)...1/(2n-1)]
is invertible and that A^(-1) has integer entries?

Homework Equations


(1) Perhaps the theorem - Equivalent systems of linear equations have the same solutions? It is the other way round.
What is the definition of "equivalent systems"?

(2)hmm...I don't know of "relevant equations"
A matrix is invertible if and only if its determinant is not 0.

The Attempt at a Solution


Not very sure how to start. For the first one, tried to construct arbitrary matrices A and B to represent two different homogeneous systems, but didn't get very far.
For (2), tried row-reducing the matrix > echelons but don't know how a proof will result...
 
  • #4
HallsofIvy said:
What is the definition of "equivalent systems"?


A matrix is invertible if and only if its determinant is not 0.

The question mentions nothing about square matrices specifically.
 
  • #5
Scigatt said:
The question mentions nothing about square matrices specifically.
? It says:
A = [1 1/2 ... 1/n
1/2 1/3 ...1/(n+1)
...
1/n 1/(n+1)...1/(2n-1)]

Since it has n rows and n columns, that's pretty square!
 
  • #6
HallsofIvy said:
? It says:
A = [1 1/2 ... 1/n
1/2 1/3 ...1/(n+1)
...
1/n 1/(n+1)...1/(2n-1)]

Since it has n rows and n columns, that's pretty square!

I was talking about the first part only.
 
  • #7
The question (1) wants you to prove equivalence in that all the equations in each system are linear combinations of the equations in the other system (I guess that B_11*x_1 + B_12*x_2 +...B_1n*x_n = (c_1*A_11+...+c_m*A_m1)x_1 +(c_1*A_12+...+c_m*A_m2)x_1 +...(c_n*A_1n+...+c_m*A_mn)x_1 = 0).
 

1. What is linear algebra?

Linear algebra is a branch of mathematics that deals with linear equations and their properties. It involves the study of vector spaces, linear transformations, and matrices.

2. What are linear equations?

Linear equations are equations that involve variables raised to the first power and have a constant coefficient. They can be written in the form of y = mx + b, where m is the slope and b is the y-intercept.

3. What is the purpose of proofs in linear algebra?

The purpose of proofs in linear algebra is to provide a logical and rigorous justification for mathematical statements and theorems. Proofs help to establish the validity and generalizability of results.

4. What is an inverse in linear algebra?

An inverse in linear algebra is a matrix that, when multiplied by the original matrix, results in the identity matrix. In other words, it is a matrix that "undoes" the effects of the original matrix.

5. How do you solve for inverses in linear algebra?

To solve for an inverse in linear algebra, you can use the Gauss-Jordan elimination method or the inverse matrix method. The Gauss-Jordan method involves using elementary row operations to transform the original matrix into the identity matrix. The inverse matrix method involves finding the adjugate of the original matrix and dividing it by the determinant of the original matrix.

Similar threads

  • Calculus and Beyond Homework Help
Replies
7
Views
411
  • Calculus and Beyond Homework Help
Replies
8
Views
795
  • Calculus and Beyond Homework Help
Replies
1
Views
282
  • Calculus and Beyond Homework Help
Replies
3
Views
570
  • Calculus and Beyond Homework Help
Replies
24
Views
796
  • Calculus and Beyond Homework Help
Replies
14
Views
595
  • Calculus and Beyond Homework Help
Replies
2
Views
523
  • Calculus and Beyond Homework Help
Replies
25
Views
2K
  • Calculus and Beyond Homework Help
Replies
4
Views
1K
  • Calculus and Beyond Homework Help
Replies
10
Views
1K
Back
Top