Cramer's Rule application in differential equations

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SUMMARY

This discussion focuses on the application of Cramer's Rule to solve a system of differential equations represented by the equations x' = -x + 2y and y' = -2x - y + e^{-t}. The Laplace transform is applied to convert the system into algebraic equations, yielding (s + 1)X - 2Y = 0 and 2X + (s + 1)Y = \frac{1}{s + 1}. The determinant D is calculated as (s + 1)^2 + 4, confirming that Cramer's Rule can be utilized as a shortcut to Gaussian elimination for solving the system.

PREREQUISITES
  • Understanding of differential equations and their solutions
  • Familiarity with the Laplace transform and its properties
  • Knowledge of Cramer's Rule and its application in linear algebra
  • Basic concepts of determinants and Gaussian elimination
NEXT STEPS
  • Study the application of the Laplace transform in solving linear differential equations
  • Explore Cramer's Rule in-depth, including its limitations and advantages
  • Learn about Gaussian elimination techniques for solving systems of equations
  • Investigate the properties of determinants and their role in linear algebra
USEFUL FOR

Students and professionals in mathematics, particularly those studying differential equations, linear algebra, and systems of equations. This discussion is beneficial for anyone looking to deepen their understanding of Cramer's Rule and its practical applications.

Hiche
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We have this system of equations:

[tex] \begin{cases}<br /> x'= -x + 2y & (1)\\<br /> y' = -2x - y + e^{-t} & (2)<br /> \end{cases}[/tex]

where [itex]x(0) = 0 ; y(0) = 0[/itex]

We apply the Laplace transform on (1) and (2) and get:

[tex] (s + 1)X - 2Y = 0\\<br /> 2X + (s + 1)Y = \frac{1}{s + 1}[/tex]

We can use elimination here, but can we apply Cramer's Rule? We find the determinant [itex]D = (s + 1)^2 + 4[/itex], and to find [itex]X_s[/itex] and [itex]Y_s[/itex], we use a certain formula. Is this applicabale here?
 
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yes you can in fact Cramer's rule is only a shortcut to standard gaussian elimination
 

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