Real Life Applications of Infinite Solutions with Gaussian Elimination

In summary, Gaussian Elimination is commonly used to solve linear systems, but can result in infinite solutions if there are more unknowns than equations. While Sudoku puzzles are one example of using these infinite solutions, there are also real life applications such as the United States Department of the Interior's project to normalize township boundaries and analyzing mechanical devices like robot arms. These infinite solutions also have relevance in fields such as physics and engineering, as well as in unexpected places like Google's PageRank algorithm.
  • #1
matqkks
285
5
I would normally use Gaussian ELimination to solve a linear system. If we have more unknowns than equations we end up with an infinite number of solutions. Are there any real life applications of these infinite solutions? I can think of solving puzzles like Sudoku but are there others?
 
Physics news on Phys.org
  • #2
matqkks said:
I would normally use Gaussian ELimination to solve a linear system. If we have more unknowns than equations we end up with an infinite number of solutions. Are there any real life applications of these infinite solutions? I can think of solving puzzles like Sudoku but are there others?

Hey matqkks.

Have you ever studied eigenvector/eigenvalue problems?
 
  • #3
Yes but that comes much later. I am really looking for a real life application outside of its use in linear algebra.
 
  • #4
Back in the mid twentieth century, the United States Department of the interior did a project to "normalize" township boundaries. Because they were all surveyed at different times, by different people, and with different quality equipment, such boundaries often did not match up and the errors can accumulate to quite sizeable errors.

Rather than re-survey the entire United States (well, actually, just the 48 "contiguous" states) it was decided to use a computer to shift boundaries to minimize the errors. I don't remember the exact numbers but there were something like 300,000 equations with 250,000 variables. That would, of course, result in 50,000 "slack variables" which were set using a "relaxation" technique.
 
  • #5
One application is analysing a mechanical device that contains moving parts, like a robot arm. The "infinte solutions" correspond to the ways the arm can move in a particular situation.

BTW you will find are plenty of "real life" applications of eigenvalues and vectors.They turn up in most branches of physics and engineering, not to mention unexpected places like Google's "PageRank" algorithm for web searching!
 

Related to Real Life Applications of Infinite Solutions with Gaussian Elimination

1. What is Gaussian Elimination and how is it used in real life applications?

Gaussian Elimination is a method used in linear algebra to solve systems of linear equations. It involves using elementary row operations to transform a system of equations into an equivalent system that is easier to solve. In real life applications, Gaussian Elimination is used in fields such as engineering, physics, and economics to solve complex systems of equations.

2. How is the concept of infinite solutions relevant to Gaussian Elimination?

Infinite solutions occur when a system of equations has an infinite number of possible solutions. This can happen when the equations are dependent, meaning that one equation can be obtained by combining the other equations. Gaussian Elimination can be used to identify when a system has infinite solutions and to find a general solution that satisfies all of the equations.

3. Can you give an example of a real life problem that can be solved using Gaussian Elimination?

One example is calculating the forces acting on a bridge. The bridge can be modeled as a system of linear equations, with the forces acting on each part of the bridge as variables. By using Gaussian Elimination, engineers can solve for the unknown forces and ensure that the bridge can withstand the applied forces.

4. Are there any limitations to using Gaussian Elimination in real life applications?

One limitation is that Gaussian Elimination can become computationally intensive when dealing with large systems of equations. In these cases, other methods may be more efficient. Additionally, Gaussian Elimination is only applicable to linear systems of equations and cannot be used for non-linear problems.

5. How does Gaussian Elimination relate to other mathematical concepts?

Gaussian Elimination is closely related to other concepts in linear algebra, such as matrix operations and determinants. It is also a fundamental method used in solving differential equations and optimization problems. Understanding Gaussian Elimination can help build a foundation for more advanced mathematical concepts.

Similar threads

  • Linear and Abstract Algebra
Replies
5
Views
2K
  • Linear and Abstract Algebra
Replies
26
Views
4K
  • Linear and Abstract Algebra
Replies
1
Views
873
  • Calculus and Beyond Homework Help
Replies
7
Views
860
  • Linear and Abstract Algebra
Replies
13
Views
7K
  • Calculus and Beyond Homework Help
Replies
1
Views
658
  • Linear and Abstract Algebra
Replies
15
Views
1K
Replies
2
Views
1K
  • Linear and Abstract Algebra
Replies
4
Views
2K
  • Precalculus Mathematics Homework Help
Replies
4
Views
2K
Back
Top