Proving the Uniqueness of Solutions to Autonomous Systems: A Study on λ and R_n

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SUMMARY

The discussion centers on proving the uniqueness of solutions to autonomous systems defined by the initial value problem (IVP) x' = Ax + c, where λ is a scalar in R and vector b is in R_n. The proposition asserts that this IVP has at most one solution for given conditions. Participants confirm that the standard existence and uniqueness theorem, particularly involving Lipschitz functions, can be applied to establish this proof definitively.

PREREQUISITES
  • Understanding of autonomous systems in differential equations
  • Familiarity with initial value problems (IVP)
  • Knowledge of Lipschitz continuity and its implications
  • Proficiency in linear algebra, specifically matrix theory
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  • Study the standard existence and uniqueness theorem in differential equations
  • Explore Lipschitz continuity and its role in proving uniqueness
  • Investigate the properties of autonomous systems and their solutions
  • Review linear algebra concepts relevant to matrix equations
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Mathematicians, students of differential equations, and researchers focusing on the behavior of autonomous systems and their solution properties.

onie mti
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i am studying autonomous system, i came across this proposition
λ is in R and vector b is in R_n where the IVP

x' = Ax + c , with x(λ) = b has at most one solution

is it possible to prove this
 
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It is possible to prove this. What tools are available to you? For example, are you allowed to use the standard existence and uniqueness theorem where the hypotheses involve Lipschitz functions?
 

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