Is this a linear system of equations?

Click For Summary

Discussion Overview

The discussion revolves around the classification of a system of equations as linear, specifically focusing on a matrix representation involving a non-linear function. Participants explore the implications of the function's characteristics on the linearity of the system.

Discussion Character

  • Debate/contested
  • Technical explanation

Main Points Raised

  • The original poster questions whether a system of equations represented by a matrix involving a non-linear function qualifies as linear if certain variables are known and yield numerical values.
  • One participant suggests that if the function values are treated as constant coefficients, matrix inversion could be performed, implying linearity.
  • Another participant raises a concern that if the unknowns \( S_i \) are dependent on the function \( f \), the system would not be linear.
  • A further clarification is requested regarding the dependency of \( S_i \) on \( f \), with a call for an illustrative example.
  • Another participant asserts that if \( S_i \) is a function of \( x_i \) and \( f \) is also a function of \( S_i \), then the system cannot be classified as linear.

Areas of Agreement / Disagreement

Participants express differing views on the conditions under which the system can be classified as linear, indicating that the discussion remains unresolved with multiple competing perspectives.

Contextual Notes

Participants reference definitions and examples from external sources, such as Wikipedia, to support their claims, but the applicability of these definitions to the specific system discussed remains uncertain.

nde
Messages
2
Reaction score
0
Hello everyone!

I have a question on whether a system of equations can be classified as linear. I have the following matrix:<br /> \begin{equation}<br /> \left[ \begin{array}{c} S_t(1) \\ S_t(2) \\ \vdots \\ S_t(\omega_N) \end{array} \right] = <br /> \begin{bmatrix} f(x_1, x_2, 1) &amp; f(x_2, x_3, 1) &amp; \cdots &amp; f(x_i, x_{i+1}, 1) \\ <br /> f(x_1, x_2, 2) &amp; f(x_2, x_3, 2) &amp; \cdots &amp; f(x_i, x_{i+1}, 2) \\<br /> \vdots &amp; \vdots &amp; \ddots &amp; \vdots \\ <br /> f(x_1, x_2, \omega_N) &amp; f(x_2, x_3, \omega_N) &amp; \cdots &amp; f(x_i, x_{i+1}, \omega_N) \\<br /> \end{bmatrix} <br /> \times <br /> \left[ \begin{array}{c} S_1 \\ S_2 \\ \vdots \\ S_i \end{array} \right]<br /> \label{equationsystem}<br /> \end{equation}<br />where f(x_i, x_{i+1}, \omega_N) is a non-linear function containing two exponential terms and S_i is unknown. Does this system of equations qualify as linear if I know x_i, x_{i+1} and \omega_N and plug it into f(x_i, x_{i+1}, \omega_N) to yield a numerical value (real number)?

If this is true, I should be able to figure out S_i by taking the inverse of the function marix and multiplying both sides with it.

I greatly appreciate your input. Thank you in advance for taking the time to answer this.

Kind regards.
 
Last edited:
Physics news on Phys.org
Yes if the f(...) are considered constant coefficients then you can do the matrix inversion but if they are somehow dependent on the S unknowns then all bets are off.
 
Thanks for your reply. What do you mean when you say that the S_i are somehow dependent on the f? Could you please illustrate it with a simple example?
 

Similar threads

  • · Replies 25 ·
Replies
25
Views
4K
  • · Replies 0 ·
Replies
0
Views
1K
  • · Replies 6 ·
Replies
6
Views
3K
  • · Replies 21 ·
Replies
21
Views
2K
  • · Replies 27 ·
Replies
27
Views
3K
  • · Replies 14 ·
Replies
14
Views
3K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 2 ·
Replies
2
Views
1K
  • · Replies 7 ·
Replies
7
Views
1K