Linear Algebra Conditions: Solving for ab≠1

In summary, if you try to solve the equations for x+ by= -1, 2ax+ 2y= 5, you can't do it if 2- 2ab= 0. If ab is not equal to 1, the equations have a unique solution.
  • #1
Terry_Destefano
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The answers is b) ab≠1, but I have no clue how to get to that answer... Can someone help me? :D
 

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  • #2
foxsborisnaumo said:
The answers is b) ab≠1, but I have no clue how to get to that answer... Can someone help me? :D

One answer to this is that, in order that a system of linear equations have a unique solution is that the determinant of coefficient, here \(\displaystyle \left|\begin{array}{cc}1 & b \\ 2a & 2 \end{array}\right|= 2- 2ab\) be non-zero. (This is the answer you got to your post of this question on another board.)

More fundamentally, what happens if you try to solve the equations? To solve x+ by= -1, 2ax+ 2y= 5, we might start by multiplying the first equation by 2, 2x+ 2by= -2. Multiply the second equation by b, 2abx+ 2by= 5b. Now, since both equations have "2by", subtracting one equation from the other (2- 2ab)x= -2- 5b. Finally, divide the both sides by 2- 2ab: x= (-2- 5b)/(2- 2ab). Given that value for x, we could put it into either of the two original equations to solve for y.

Under what conditions can we not do that? Every step above is easy to do for all values of a and b except "divide both sides by 2- 2ab". We cannot do that if 2- 2ab= 0 because we cannot divide by 0. There is a unique solution for all a or b except a and b so that 2- 2ab= 2(1- ab)= 0. That is the same as ab= 1. The given system of equations has a unique solution if and only if ab is not equal to 1.
 
  • #3
Thanks HallsofIvy!
I put my question at many forums and even payed for homework help but you gave me the most detailed response.
 
  • #4
foxsborisnaumo said:
Thanks HallsofIvy!
I put my question at many forums and even payed for homework help but you gave me the most detailed response.

There's no need to link to the commercial site you used. Thanks! :D
 

FAQ: Linear Algebra Conditions: Solving for ab≠1

What is linear algebra?

Linear algebra is a branch of mathematics that deals with the study of linear equations and their representations in vector spaces. It involves the use of matrices and vectors to solve systems of linear equations and understand geometric concepts such as lines, planes, and transformations.

What are the conditions for a matrix to be invertible?

A square matrix is invertible if and only if its determinant is non-zero. This means that the matrix must have a non-zero value for its determinant in order to have an inverse. Additionally, all the eigenvalues of the matrix must be non-zero.

What is the difference between a row vector and a column vector?

A row vector is a matrix with only one row, while a column vector is a matrix with only one column. Row vectors are typically denoted by a horizontal line of elements, while column vectors are denoted by a vertical line of elements. The main difference is in their shape and how they are used in operations such as matrix multiplication.

Can linear algebra be applied in other fields besides mathematics?

Yes, linear algebra has applications in various fields such as engineering, physics, computer science, and economics. It can be used to model and solve real-world problems involving systems of linear equations, optimization, and data analysis.

What are some common applications of linear algebra in data science?

Linear algebra is the foundation of many data science techniques such as regression analysis, principal component analysis, and machine learning algorithms. It is used to perform operations on large datasets, extract meaningful information, and make predictions based on patterns in the data.

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