Linear Algebra: Solving for D with Invertible Matrices | Attempt at Solution"

In summary: I'll try that. In summary, the student attempted to group all like terms and simplify the problem, but was not allowed to do so. After trying unsuccessfully to simplify the problem, they asked for help. The feedback the student received was to try multiplying both sides by the inverse of the matrix on the right.
  • #1
kwal0203
69
0

Homework Statement



Assuming that all matrices are [itex]n\times n[/itex] and invertible, solve for [itex]D[/itex].

[itex]C^{T}B^{-1}A^{2}BAC^{-1}DA^{-2}B^{T}C^{-2}=C^{T}[/itex]

The Attempt at a Solution



I tried to group all like terms and simplify. I'm pretty sure this is not allowed but I'm not really sure how to approach this question. Thanks a lot any help appreciated!

[itex]C^{T}C^{-1}C^{-1}C^{-1}B^{-1}BB^{T}AAAA^{-1}A^{-1}D=C^{T}[/itex]

[itex]C^{T}C^{-1}C^{-1}C^{-1}IB^{T}IIAD=C^{T}[/itex]

[itex]((C^T)^{-1}C^{T})C^{-1}C^{-1}C^{-1}B^{T}AD=C^{T}(C^T)^{-1}[/itex]

[itex]I(C^{-1}C^{-1}C^{-1}CCC)(B^{T}(B^T)^{-1})(AA^{-1})D=ICCC(B^T)^{-1}A^{-1}[/itex]

[itex]D=C^{3}(B^T)^{-1}A^{-1}[/itex]
 
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  • #2
No, you can't change the order like that. What you can do is multiply both sides by the same thing at the same end. I.e. You can go from Y = Z to XY = XZ or to YX = ZX. Start with multiplying both sides on the left by C-T. Use the fact that you can change the order when the two matrices being multiplied are inverses of each other: X-1X = I = XX-1
 
  • #3
kwal0203 said:

Homework Statement



Assuming that all matrices are [itex]n\times n[/itex] and invertible, solve for [itex]D[/itex].

[itex]C^{T}B^{-1}A^{2}BAC^{-1}DA^{-2}B^{T}C^{-2}=C^{T}[/itex]

The Attempt at a Solution



I tried to group all like terms and simplify. I'm pretty sure this is not allowed but I'm not really sure how to approach this question. Thanks a lot any help appreciated!

[itex]C^{T}C^{-1}C^{-1}C^{-1}B^{-1}BB^{T}AAAA^{-1}A^{-1}D=C^{T}[/itex]

[itex]C^{T}C^{-1}C^{-1}C^{-1}IB^{T}IIAD=C^{T}[/itex]

[itex]((C^T)^{-1}C^{T})C^{-1}C^{-1}C^{-1}B^{T}AD=C^{T}(C^T)^{-1}[/itex]

[itex]I(C^{-1}C^{-1}C^{-1}CCC)(B^{T}(B^T)^{-1})(AA^{-1})D=ICCC(B^T)^{-1}A^{-1}[/itex]

[itex]D=C^{3}(B^T)^{-1}A^{-1}[/itex]

Don't assume the matrices commute. You can't interchange the order like you did. Aside from the fact this problem is needlessly complex, just use patience and cancel each matrix M by M^(-1) on the appropriate side.
 
  • #4
Thanks guys, but what happens when I get down to D after I multiply each term preceding it by its inverse?
 
  • #5
Ahhhh, multiply on the right!
 
  • #6
kwal0203 said:
Ahhhh, multiply on the right!

Right! No pun intended.
 
  • #7
Dick said:
Right! No pun intended.


Lol thanks
 

FAQ: Linear Algebra: Solving for D with Invertible Matrices | Attempt at Solution"

What is linear algebra?

Linear algebra is a branch of mathematics that deals with the study of vector spaces and linear transformations. It involves the use of matrices and their operations to solve systems of linear equations and represent geometric transformations.

What is an invertible matrix?

An invertible matrix, also known as a non-singular matrix, is a square matrix with a non-zero determinant. This means that the matrix is capable of being inverted, or finding its inverse matrix, leading to a unique solution for a system of linear equations.

How do you solve for D using invertible matrices?

To solve for D in the equation A * D = B, where A is an invertible matrix and B is a known vector or matrix, you can multiply both sides of the equation by the inverse of A. This will result in D = A-1 * B, giving you the solution for D.

What are some applications of linear algebra?

Linear algebra has numerous applications in various fields such as engineering, physics, computer science, economics, and statistics. It is used to solve systems of linear equations, perform data analysis, optimize systems, and model real-world problems.

What are the benefits of using linear algebra to solve equations?

Linear algebra provides a systematic and efficient way to solve systems of equations. It allows for the use of matrices to represent and manipulate large sets of data, making complex problems easier to solve. Additionally, the concepts of linear algebra are used in many other areas of mathematics and science, making it a crucial tool for problem-solving and understanding abstract concepts.

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