Ambiguity in the method applied for differential equations

In summary, the reason why two solutions are needed to solve a 2nd order linear differential equation is because the solution space for a 2nd order DE is of dimension two, meaning that any vector/function in the space can be written as a linear combination of two linearly independent basis vectors/functions. Additionally, in applications, extra conditions may require a linear combination of both solutions in order to accurately solve the problem.
  • #1
Faiq
348
16

Homework Statement


Why do we need two solutions to solve a 2nd order linear differential equation?
lets consider a differential equation with equal roots for auxiliary equation. So the reasoning behind why can't we use y=Aen1x+Ben2x
as its general solution is because since the roots are equal we get a single solution y=Cenx
. So my question is what's the problem with having one solution? After all it's A SOLUTION.
 
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  • #2
Are you asking why, mathematically, do second order ODEs have two solutions, or why in general would we want to try to get a second solution if we already have one?

The answer to the latter is: what if, given our initial conditions, the one solution we did find doesn't agree with what we find in the real world? We want to find the most general solution possible for it to actually match up with experiment. It is possible that one solution turns out to be always ##0## and that the other solution is the important one.
 
  • #3
Oh thank you for answering the latter. Btw I am asking both questions
 
  • #4
Thank you for explaining the second one. By the way I was asking both the questions
 
  • #5
Faiq said:

Homework Statement


Why do we need two solutions to solve a 2nd order linear differential equation?
lets consider a differential equation with equal roots for auxiliary equation. So the reasoning behind why can't we use y=Aen1x+Ben2x
as its general solution is because since the roots are equal we get a single solution y=Cenx
. So my question is what's the problem with having one solution? After all it's A SOLUTION.
It helps to think of the connection between differential equations and linear algebra, with one connection being that the solution space for a given differential equation is a function space, a type of vector space. The solution space for a first-order DE is of dimension one, the solution space for a second-order DE is of dimension two, and in general, the solution space for an n-th order DE is of dimension n.

If a vector space or solution space is one-dimensional, every vector or function in the space can be written as a constant multiple of a single vector/function -- a basis vector/function. If a vector space or function space is of dimension two, any basis for the space must consist of two linearly independent vectors/functions. Every vector/function in the space can be written as a linear combination of the basis vectors/functions. That is, a sum of constant multiples of the two vectors/functions.

In your example, the solution space is two dimensional, so to describe all solutions, you have to come up with a basis for the space -- two linearly independent functions. In this case, the functions ##e^{nx}## and ##xe^{nx}## will work as the basis.
 
  • #6
Faiq said:

Homework Statement


Why do we need two solutions to solve a 2nd order linear differential equation?
lets consider a differential equation with equal roots for auxiliary equation. So the reasoning behind why can't we use y=Aen1x+Ben2x
as its general solution is because since the roots are equal we get a single solution y=Cenx
. So my question is what's the problem with having one solution? After all it's A SOLUTION.

Generally (not always) there are two possible values for ##n##, so which one would you use? In some cases the root ##n## is a double root, so again there are two possible solutions ##e^{nx} ## and ##x e^{nx}##. Again, which one would you choose?

In both the cases above you may need to take a linear combination of both solutions in order to fit additional conditions in the problem. Generally---in applications at least---differential equations do not come without some type of extra conditions, such as initial and/or final values, or values and derivatives specified at some point. When you have those, a single one of the two solutions may not solve the problem.
 

Related to Ambiguity in the method applied for differential equations

1. What is ambiguity in the method applied for differential equations?

Ambiguity in the method applied for differential equations refers to the presence of multiple possible solutions to a given differential equation. This can occur when the equation is not well-defined or when the chosen method of solving the equation is not precise enough.

2. How does ambiguity affect the accuracy of solutions to differential equations?

Ambiguity can significantly impact the accuracy of solutions to differential equations. If a method is ambiguous, it may produce incorrect or incomplete solutions, making it difficult to accurately model and predict real-world phenomena.

3. What causes ambiguity in the methods used for solving differential equations?

Ambiguity in differential equation methods can be caused by a variety of factors, such as improper initial conditions, errors in the formulation of the equation, or limitations of the chosen method. It can also be a result of the complexity of the system being modeled.

4. How can ambiguity be minimized in solving differential equations?

To reduce ambiguity in solving differential equations, it is important to carefully define the problem and select appropriate methods for solving it. This may involve using more advanced techniques or refining the initial conditions to get a better approximation of the solution.

5. Can ambiguity ever be completely eliminated in solving differential equations?

No, it is not possible to completely eliminate ambiguity in solving differential equations. This is because real-world systems are often complex and involve multiple variables, making it difficult to accurately model them with a single equation. However, by carefully selecting methods and refining initial conditions, ambiguity can be minimized to a great extent.

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