What's the difference between these 2 problems?

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In summary, the conversation discusses the difference between Gaussian elimination with back substitution and the Gauss-Jordan method for solving systems of equations. While there is some confusion and debate about the history and naming of these methods, the important concept is using elementary row operations to simplify the matrix and find the solution. Gaussian elimination is generally considered more efficient, while Gauss-Jordan is mainly used for theoretical purposes. More information on this topic can be found in the book "Meyer".
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Problem 1: Use Gaussian elimination with back substitution to solve the following system.
Problem 2: Use the Gauss-Jordan method to solve the following system.

I've worked on both of these types of problems but I didn't notice the difference between these 2 types of problems. Aren't the Gaussian elimination with back substitution and the Gauss-Jordan method the same thing?
 
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The wikipedia page is not at all clear, search for "Gauss-Jordan" to see where it talks about it.
 
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verty said:
The wikipedia page is not at all clear, search for "Gauss-Jordan" to see where it talks about it.

Exactly. That's why I said what I said.
 
  • #5
The important thing is the general idea of performing elementary row operations on a matrix to make some of the matrix elements zero. There are more than two practical ways to do this.

IMO debating exactly who discovered (or rediscovered) which particular method is a question for historians, not mathematicians.
 
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Thanks for the help, guys.
 
  • #7
Gaussian elimination is not at all the same as Gauss-Jordan elimination. Gaussian elimination is always the more efficient way to solve equation. Gauss-Jordan is only really useful for theoretical purposes.

More information (with a nice analysis of the difference between Gauss and Gauss-Jordan) can be found in Meyer: https://www.amazon.com/dp/0898714540/?tag=pfamazon01-20
 
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1. What are the two problems being compared?

The two problems being compared must be clearly defined and stated in order to accurately identify their differences. Without a clear understanding of the problems, it is impossible to compare them.

2. How are the two problems related?

The two problems may be related in various ways, such as sharing a common theme or having similar underlying causes. Identifying the relationship between the problems can help in understanding their differences.

3. What is the context in which the problems occur?

The context in which the problems occur can provide important information about their differences. For example, one problem may occur in a specific industry while the other may occur in a different context. This can greatly impact the solutions and approaches to solving the problems.

4. What are the key characteristics of each problem?

Identifying the key characteristics of each problem can help in understanding their differences. This can include factors such as the scope, severity, and complexity of the problems.

5. How do the solutions to each problem differ?

The differences in the solutions to each problem can reveal important distinctions between them. For example, one problem may require a technical solution while the other may require a policy change. Understanding the different approaches to solving the problems can help in identifying their differences.

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