How to Prove Uniqueness in Ritz-Galerkin Approximations?

In summary: Therefore, a(uh,vh) = (f,vh) for all vh is an element of Vh, which implies that uh is unique. In summary, we discussed the 2-point boundary value problem and its associated weak formulation, the suitable function space V, the proof that u solves the differential equation, the Ritz-Galerkin approximation, and the uniqueness of the solution uh when f is an element of L2(0,1).
  • #1
greek9000
2
0
Hi there I'm having a trouble with the following proof.I have the exam soon and he has asked this question every year so I have no doubt that he will ask it again.I have no idea how to do it?If you can help me I would be greatly appreciative.

Question:
Consider the 2-point boundary value problem
-u'' = f(x) on (0,1)
subject to the boundary conditions u(0) and u'(1)=0. The associated weak formulation reads:Find u element of V such that a(u,v) = l(v) for all v is an element of V,where a(u,v) = ∫(0 to 1) u'v'dx and l(v) = ∫(0 to 1) f(x)v(x)dx

Then:
(1)Define the suitable function space V(1)
(2) prove that if f is an element of C[0,1] and u is an element of C^2[0,1] satisfies the variational formulation,then u solves the differential equation.(7)
(3)Define the Ritz-Galerkin approximation to the variational statement.(2)
(4)Prove that if f is an element of L(subscript 2 at the bottom)(0,1),then the solution u(subscript h at the bottom) is an element of Vh(subscript h at the bottom of V) such that a(uh,vh) = (f,vh) for all vh is an element of Vh is unique? (8)

I need help with question 4 asap please guys.I'm desperate.Stressing out big time. Thanks very much in advance.
 
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  • #2
Solution: 1) The suitable function space V is defined as the space of all continuous functions that have continuous derivatives up to second order on the interval [0,1]. 2) To prove that if f is an element of C[0,1] and u is an element of C^2[0,1] satisfies the variational formulation,then u solves the differential equation,we must first show that a(u,v) = l(v) for all v is an element of V. This can be done by integrating by parts: a(u,v) = ∫(0 to 1) u'v'dx = [u'v - ∫(0 to 1) u''v dx] = [u'v - f(x)v] = [u'v - l(v)] = l(v) Therefore, a(u,v) = l(v) for all v is an element of V, which implies that u solves the differential equation. 3) The Ritz-Galerkin approximation to the variational statement is defined as follows: Find uh element of Vh such that a(uh,vh) = l(vh) for all vh is an element of Vh. Here, Vh is a finite-dimensional subspace of V and l(vh) is defined as l(vh)=∫(0 to 1) f(x)vh(x)dx. 4) To prove that if f is an element of L2(0,1), then the solution uh is an element of Vh such that a(uh,vh) = (f,vh) for all vh is an element of Vh is unique, we must first show that a(uh,vh) = (f,vh). This can be done by noting that, since f is an element of L2(0,1), we have a(uh,vh) = ∫(0 to 1) uh'vh'dx = [uh'vh - ∫(0 to 1) uh''vh dx]
 
  • #3


Hi there,

I understand that you are under a lot of pressure to prepare for your exam and that this question has been a recurring one. I will try my best to provide a clear and helpful explanation for question 4.

First, let's define the Ritz-Galerkin approximation to the variational statement. This is a numerical method used to approximate the solution to a differential equation. It involves choosing a finite-dimensional subspace Vh of the function space V and finding the solution uh in this subspace that minimizes the error in the variational formulation. In other words, uh is the best approximation to the exact solution u in Vh.

Now, let's move on to the proof that if f is an element of L2(0,1), then the solution uh is unique. To prove this, we need to show that if there exists another solution uh' in Vh, then uh = uh'. This can be done using the uniqueness theorem for variational problems, which states that if a(u,v) = l(v) for all v in V, then u is the unique solution to the variational problem. Since uh and uh' both satisfy the variational formulation, it follows that uh = uh'.

To show that uh is in fact an element of Vh, we need to show that it satisfies the boundary conditions and the differential equation. First, we know that uh satisfies the boundary condition u(0) = 0. This is because uh is the best approximation to the exact solution u in Vh, and u(0) = 0 is a condition that all functions in Vh must satisfy.

Next, we need to show that uh satisfies the differential equation -u'' = f(x). This can be done by substituting uh into the variational formulation and using the properties of the inner product. Since uh satisfies the variational formulation, we have a(uh,vh) = l(vh) for all vh in Vh. If we substitute uh and f into this equation, we get a(uh,vh) = ∫(0 to 1) uh'vh'dx = (f,vh) = ∫(0 to 1) f(x)vh(x)dx. This shows that uh satisfies the differential equation -u'' = f(x).

In conclusion, we have shown that if f is an element of L2(0,1), then the solution uh is unique and
 

FAQ: How to Prove Uniqueness in Ritz-Galerkin Approximations?

1. What is the concept behind finite element methods?

The finite element method is a numerical technique used to solve partial differential equations by dividing a continuous domain into smaller, simpler subdomains called finite elements. It approximates the solution to the equations by using piecewise polynomial functions over each element.

2. How is the accuracy of finite element methods determined?

The accuracy of finite element methods is determined by the number of elements used in the discretization process. Generally, the more elements used, the higher the accuracy of the solution. However, this also increases the computational cost.

3. What are the advantages of using finite element methods?

Finite element methods offer several advantages, including the ability to handle complex geometries, the flexibility to incorporate different types of boundary conditions, and the capability to model different types of physical phenomena.

4. What are the limitations of finite element methods?

Some limitations of finite element methods include the need for a good mesh to accurately represent the geometry and the difficulty in dealing with problems with moving boundaries or interfaces. Additionally, the convergence of the solution can be slow for certain types of problems.

5. How are finite element methods used in real-world applications?

Finite element methods are widely used in various fields of engineering and sciences, such as structural analysis, fluid dynamics, heat transfer, and electromagnetics. They are also utilized in computer-aided design and optimization, as well as in simulations for medical and biological systems.

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