Can linear algebra used to deal with non linear systems?

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SUMMARY

Linear algebra is fundamentally defined as "closed under addition," which is crucial for understanding linear systems in physics that adhere to the superposition principle. Techniques such as Fourier transformation and perturbation theory can approximate non-linear system behavior over short time frames, but most non-linear systems require numerical solutions due to their chaotic nature. Despite this, linear algebra remains applicable as many non-linear systems exhibit linear or approximately linear characteristics, particularly in biomathematics where linearization around stationary points aids in analyzing stability and overall behavior.

PREREQUISITES
  • Understanding of the superposition principle in physics
  • Familiarity with linear functions and their properties
  • Knowledge of Fourier transformation techniques
  • Basic concepts of perturbation theory
NEXT STEPS
  • Explore numerical methods for solving non-linear systems
  • Study the application of Fourier transformation in signal processing
  • Investigate perturbation theory in the context of dynamical systems
  • Learn about linearization techniques in biomathematics
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Students and professionals in mathematics, physics, and engineering, particularly those interested in the analysis of non-linear systems and their approximations using linear algebra techniques.

dexterdev
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Hi all,
Can linear algebra used to deal with non linear systems? and why linear algebra is 'linear'? :(

-Devanand T
 
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"Linear" in "Linear Algebra" means "closed under addition". In physics a "linear system" is one that satisfies the superposition principle, which is just the physics way of saying closed under addition. This means that if S_1 and S_2 are two possible states of the system (i.e. two possible solutions to the equations of motion), then S_1 + S_2 is also a possible state of the system (i.e. it also solves the equations of motion). The same word, "linear", is also used to describe the equations of motion in this case; one says that the equations of motion are linear if their solutions satisfy this superposition principle. This use of the word simply generalizes the fact that if you add two points on a line, you end up with a point on the same line.

Linear techniques (e.g. Fourier transformation, perturbation theory, etc.) can be used to approximate the behavior of non-linear systems over sufficiently brief time periods, but most non-linear systems can only be "solved" numerically and display complicated chaotic behavior.
 
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linear algebra is linear because it deals with functions such that

f(a*x+b*y)=a*f(x)+b*f(y)

Many nonlinear systems have linear or approximately linear parts so linear algebra is still useful.
 
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Thankyou guys...you people cleared my doubt
 
A good deal of biomath is linearising about stationary points and considering their stability, which helps give a qualitative picture of the overall behaviour.
 

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