Uniqueness Theorem for homogenous linear ODEs

In summary, the conversation discusses the system of linear differential equations and its solutions being a subset of the vector space of continuous functions. It also mentions the dimension of the solution space and how it can be spanned by a basis of linearly independent vectors. Finally, it raises the question of whether finding two solutions that pass the Wronskian test for linear independence is sufficient to show uniqueness.
  • #1
Crosson
1,259
4
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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  • #2
is this sufficient


Yeap.
 
  • #3
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?
 
  • #4
Ι don't think he can answer... he's banned! lol
 
  • #5
Reb said:
Ι don't think he can answer... he's banned! lol

...and this question is over 4 years old!
 
  • #6
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
 

1. What is the Uniqueness Theorem for homogenous linear ODEs?

The Uniqueness Theorem states that for a given initial value problem, there exists only one solution to the corresponding homogenous linear ordinary differential equation (ODE).

2. What are the key components of the Uniqueness Theorem?

The key components of the Uniqueness Theorem are the homogenous linear ODE, the initial condition(s), and the domain on which the equation is defined.

3. How is the Uniqueness Theorem used in solving ODEs?

The Uniqueness Theorem is used to ensure that the solution obtained for a given initial value problem is the only possible solution. It also helps to determine if a particular solution is valid, as any solution that does not satisfy the initial condition(s) is not considered a valid solution.

4. Can the Uniqueness Theorem be applied to non-linear ODEs?

No, the Uniqueness Theorem only applies to homogenous linear ODEs. Non-linear ODEs do not have a unique solution and may have multiple solutions for a given initial value problem.

5. What are some real-world applications of the Uniqueness Theorem?

The Uniqueness Theorem has many applications in engineering, physics, and other scientific fields where ODEs are used to model various systems and phenomena. It is also used in computer simulations and numerical methods to ensure accurate and unique solutions.

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