Why Are Coefficients of x Plotted on the y-Axis in Linear Combinations?

In summary, when solving linear equations using graphical methods, the equations can be expressed in column vector form. Each component of the vector represents a new axis, similar to the x and y axes in a coordinate system. The "x" and "y" used as coefficients in the equation do not refer to the axes, but rather to the quantities being multiplied by each component. Therefore, the second element of the first vector in the equation x[3,-6] + y[2,6] = [7,6] is plotted on the y-axis, not the x-axis. This is because the "x" in the equation is not referring to the x-axis, but rather to the quantity being multiplied by the second element of the
  • #1
mirza21
3
0
I have to linear equations

3x + 2y =7 and -6x + 6y= 6

when expressed as linear combination in column vector form they become:

x[3,-6] + y[2,6] = [7,6]

when solving this linear combination graphically ,First vector is plotted
like this x=3, y=-6 and second vector is plotted like x=2, y=6 as per
textbook

1) first vector contains x coeffceints of equation 1 and 2. I am consfused why second element of first vector(-6) is plotted on y axis. It is x element as per equation 2. Please clarify on this why this done like
this?
 
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  • #2
I assume the problem is to solve the equation that you write as x[3,-6] + y[2,6] = [7,6]. Suppose you had been asked to solve the equation u[3,-6] + v[2,6] = [7,6] instead. Would that have been a different problem?
 
  • #3
In other words, the "x" and "y" used as coefficients for the vectors are NOT the "x" and "y" labeling the axes. It would, indeed, be better not to use "x" and "y" in the equation as Fredrick suggests.
 
  • #4
Each component of a vector can be though of as a "new axis", much like the x and y axes.
Take a vector (a, b, c, d)
In the coordinate system you are familiar with, a would be the x-axis value, b the y-axis, c the z-axis, d the t-axis... etc and you can go to as many axes as you want

so even though you see an x in front of (3, -6) it does not mean that every component in that vector is on the x-axis it just means that x is some quantity multiplied by each component that lies on it's own independent axis
 
  • #5


I understand your confusion about the linear combination of two equations. Let me explain it to you in a more mathematical way.

A linear combination is a mathematical operation where two or more equations are added, subtracted, or multiplied by a constant to form a new equation. In this case, we have two equations:

3x + 2y = 7 and -6x + 6y = 6

When we express these equations in column vector form, we get:

[3, 2] and [-6, 6]

The first element in each vector represents the coefficient of x, while the second element represents the coefficient of y. So, for the first equation, the coefficient of x is 3 and the coefficient of y is 2. Similarly, for the second equation, the coefficient of x is -6 and the coefficient of y is 6.

Now, when we solve the linear combination graphically, we plot these two vectors on a graph. The first vector is plotted with the x-coordinate as 3 and the y-coordinate as 2. This is represented as (3,2) on the graph. Similarly, the second vector is plotted with the x-coordinate as -6 and the y-coordinate as 6. This is represented as (-6,6) on the graph.

The reason why we plot the second element of the first vector (-6) on the y-axis is because in the column vector form, the second element represents the coefficient of y. So, we plot it on the y-axis to show its relation to the y-variable. This is just a visual representation to help us understand the linear combination better.

I hope this clarifies your confusion about the linear combination. Remember, in a linear combination, the coefficients of x and y are represented by the first and second elements in the column vectors, respectively. Keep practicing and you will become more comfortable with this concept. Good luck!
 

FAQ: Why Are Coefficients of x Plotted on the y-Axis in Linear Combinations?

What is linear combination confusion?

Linear combination confusion is a term used in mathematics and statistics to describe the phenomenon of two or more variables being highly correlated, making it difficult to determine which variable is causing the correlation.

How does linear combination confusion occur?

Linear combination confusion can occur when two or more variables are highly correlated with each other, meaning that they have a strong linear relationship. This can make it difficult to determine which variable is causing the correlation, as they both appear to be influencing the outcome.

What are the consequences of linear combination confusion?

The consequences of linear combination confusion can include difficulty in accurately interpreting data and making predictions. It can also lead to incorrect conclusions about the relationships between variables, which can have serious implications in fields such as science and economics.

How can linear combination confusion be addressed?

One way to address linear combination confusion is by using statistical techniques such as regression analysis to determine the individual contributions of each variable to the overall correlation. Additionally, careful consideration and selection of variables in research and experiments can help to minimize the occurrence of linear combination confusion.

Are there any real-world examples of linear combination confusion?

Yes, there are many real-world examples of linear combination confusion. For instance, in medical research, it can be difficult to determine whether a certain treatment is truly effective or if the improvement is due to other factors such as lifestyle changes. In economics, it can be challenging to identify the true cause of changes in the stock market or consumer spending. Linear combination confusion can also occur in social sciences, such as when studying the relationship between income and education, as both factors may be influencing each other.

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