Uniqueness Theorem for homogenous linear ODEs

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Discussion Overview

The discussion revolves around the uniqueness theorem for homogeneous linear ordinary differential equations (ODEs), specifically focusing on the properties of the solution space and the conditions under which uniqueness can be established. Participants explore the implications of linear independence of solutions and the role of the Wronskian in determining the structure of the solution space.

Discussion Character

  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant outlines that the solution space S of a system of linear differential equations is a vector space, containing the zero function and closed under addition and scalar multiplication.
  • Another participant questions whether demonstrating that two solutions F(x) and G(x) pass the Wronskian test for linear independence is sufficient to conclude that the solution space S can be expressed as linear combinations of these solutions.
  • A later reply emphasizes that the proof of the dimension of S requires the "existence and uniqueness" theorem, suggesting that the standard proof for first-order differential equations should extend to vector forms.
  • Some participants engage in light-hearted commentary about the age of the question and the status of a previous contributor, indicating a casual tone amidst the technical discussion.

Areas of Agreement / Disagreement

Participants express varying levels of confidence regarding the sufficiency of the Wronskian test for establishing uniqueness, and there is no consensus on the implications of the existence and uniqueness theorem for the broader context of the discussion.

Contextual Notes

The discussion does not resolve the assumptions underlying the existence and uniqueness theorem or the specific conditions required for the Wronskian test to apply in this context.

Crosson
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Consider the system of linear differential equations:

X' = AX where X is a column vector (of functions) and A is coefficient matrix. We could just as well consider a first order specific case: y'(x) = C(x)y

We know that the soltuion will be a subset of the vector space of continuous functions. We know the function f(x) = 0 (the additive identity) is contained in the set of solutions S. We also know that any scalar multiple of an element in S is also in S, as is any linear combination of elements (all do due the properties of differential operator) . Therefore, because S is a subset of C, and the operations of addition and scalar multiplication are closed in S, S itself is a vector space.

What is the dimension of S? The dimension of S is the number of elements in the column vectors X' = AX, so a first order equation has a solution space of dimension two, etc. Therefore, the solution space of an nth order ODE can be spanned by a basis of n linearly independent vectors.

Then if we find two solutions to a second order equation F(x) and G(x), and we can show they pass the Wronskian test for linear independence, is this sufficient to show that:

S = {aF(x) + bG(x): a,b contained in R}

And thereby show uniqueness?
 
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is this sufficient


Yeap.
 
Crosson said:
Consider the system of linear differential equations:

X' = AX where X is a column vector (of functions) and A is coefficient matrix. We could just as well consider a first order specific case: y'(x) = C(x)y

We know that the soltuion will be a subset of the vector space of continuous functions. We know the function f(x) = 0 (the additive identity) is contained in the set of solutions S. We also know that any scalar multiple of an element in S is also in S, as is any linear combination of elements (all do due the properties of differential operator) . Therefore, because S is a subset of C, and the operations of addition and scalar multiplication are closed in S, S itself is a vector space.

What is the dimension of S? The dimension of S is the number of elements in the column vectors X' = AX, so a first order equation has a solution space of dimension two, etc. Therefore, the solution space of an nth order ODE can be spanned by a basis of n linearly independent vectors.
But the proof of that requires "existence and uniqueness". Once you have the d.e. written X'= AX you can use the standard existence and uniqueness proof for first order differential equations. (After proving that it extends to "vectors", of course.)

Then if we find two solutions to a second order equation F(x) and G(x), and we can show they pass the Wronskian test for linear independence, is this sufficient to show that:

S = {aF(x) + bG(x): a,b contained in R}

And thereby show uniqueness?
 
Ι don't think he can answer... he's banned! lol
 
Reb said:
Ι don't think he can answer... he's banned! lol

...and this question is over 4 years old!
 
robphy said:
...and this question is over 4 years old!



I kind of like replying to old but interesting questions.







As I answered to an earlier accusation, it's like going on a date with a middle-aged virgin. :P
 

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