Proving Matrix Equations: Cramer's Rule, Transpose & Adjoint

In summary, the first part of the conversation discusses the solvability of the equation Ax=b where A is a square matrix with integer elements and b is a vector with all even integer elements. It is proven that if the determinant of A is 2, then the equation has a solution with only integer elements. The second part discusses the uniqueness of the solution to the equation Ax=0, where n is an odd number and the transpose of A is equal to its negative. It is shown that A must have a non-trivial solution. The third part introduces the concept of the adjoint matrix and proves that the adjoint of gammaA is equal to gamma^(n-1) times the adjoint of A, where gamma is a
  • #1
daniel_i_l
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Homework Statement


Prove or disprove the following:
(A is a nxn square matrix)
a) The vector b is in R^n and all its elements are even integers. If all the elements of the A are integers and det(A) = 2, then the equation Ax = b has a solution with only integer elements
b) If n is odd and transpose(A) = -A then the equation Ax=0 has only one solution
c)adj(gammaA) = gamma^n-1adj(A) if gamma is in R.


Homework Equations


a) Cramer's rule.
b) det(transpose(A)) = det(A)
det(-A) = (-1)^ndet(A)
c) definition of adjoint (transpose of cofactor matrix)


The Attempt at a Solution



a)True: according to Cramer's rule each element of the solution is the determinant of A with one coloum replaced by b divided by det(A). Since the determinant can be taken with coloum b the first determinant will be the sum of even numbers (because all of b's elements are even and A's are integers) and that divided by |A|=2 will be an integer.

b)False: |transpose(A)| = |A|. |-A| = (-1)^nA = -|A| cause n is odd. So 2|A|=0 => |A|=0 and A isn't reversable so it must have a non trivial solution to Ax=0.

c)True: because each element of adj(gammaA) is +/-1 times a determinant of gamma * (a n-1xn-1 matrix) which equals gamma^n-1 times the determinant of the n-1xn-1 matrix.

Are the answers right? I'm especially hesitant about c).
Thanks!
 
Last edited:
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  • #2
They seem just fine to me.
 
  • #3
Thanks a lot!
 

Related to Proving Matrix Equations: Cramer's Rule, Transpose & Adjoint

1. What is Cramer's Rule?

Cramer's Rule is a method of solving a system of linear equations by using determinants. It involves finding the determinant of the coefficient matrix and then substituting the values into a formula to find the solutions to the system.

2. How is Cramer's Rule used to prove matrix equations?

Cramer's Rule can be used to prove matrix equations by showing that the determinant of the coefficient matrix is non-zero, which indicates that the system of equations has a unique solution. This solution can then be substituted into the original matrix equation to prove its validity.

3. What is the transpose of a matrix?

The transpose of a matrix is a new matrix that is formed by flipping the rows and columns of the original matrix. This is denoted by a superscript "T" after the matrix, and it can be used to simplify equations and perform operations such as matrix multiplication.

4. How does the transpose help in proving matrix equations?

The transpose can help in proving matrix equations by simplifying the equations and making it easier to identify patterns and relationships between different matrices. It can also be used to show that two matrices are equal by proving that their transposes are equal.

5. What is the adjoint of a matrix?

The adjoint of a matrix is a new matrix that is formed by taking the transpose of the matrix of cofactors of the original matrix. It is used in matrix operations such as finding the inverse of a matrix and is also important in proving properties of matrix equations.

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