Homotopy Analysis Method (or Homotopy Perturbation Method)?

In summary, the conversation discusses the effectiveness of the Homotopy Analysis Method (HAM) and its variant, the Homotopy Perturbation Method (HPM), in solving coupled non-linear partial differential equations (PDEs). The speakers question the limited references to these methods and their purported power and applicability. They also mention the use of artificial parameters in HAM and the role of convergence in its solutions. The conversation concludes with a plan to consult an authority on the topic for further clarification.
  • #1
crackjack
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Homotopy Analysis Method (or Homotopy Perturbation Method)??

How effective is this Homotopy Analysis Method (HAM) in solving coupled non-linear PDE? I see some papers, but they seem to be cross-referencing a small group of people most of the time. This sounds strange for a method that is so generic and so powerful (and has been around since 1992), as those papers all say.

Homotopy Perturbation Method (HPM) is a recent variant of HAM. But this also seems to suffer from the same strange behaviors as HAM's papers.
 
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  • #2


"HAM" and "HPM" are methods for finding approximate solutions to non-linear equations. The WKB method used in Quantum Mechanics to solve Shrodinger's equation is an example of a "HPM".
 
  • #3


Thanks for the reply.

I understand that it is an approximation method. But the difference from WKB seems to be that, in HAM, there is no apriori need for a small-parameter (with which to perturb). HAM introduces an artificial parameter with which a perturbation solution is constructed and then the parameter is taken to unity. The convergence of the solution is controlled by another parameter.

I want to know if HAM really brings something powerful to the table and, if so, why do I not see it beyond a relatively small self-referencing group.
 
  • #4


I will ask my supervisor this, as he is an authority on this kind of stuff.
 
  • #5


I would say that the Homotopy Analysis Method (HAM) and its variant, the Homotopy Perturbation Method (HPM), have been shown to be effective in solving coupled non-linear partial differential equations (PDEs). However, there may be some limitations or challenges associated with these methods that may explain the lack of wider application and cross-referencing in the literature.

One possible limitation is that these methods require a certain level of mathematical expertise and understanding in order to be properly applied. This may explain why there are only a small group of researchers who are actively using and publishing papers on these methods.

Additionally, the success of these methods may also depend on the specific problem being solved and the choice of the homotopy parameter. This could lead to variations in results and make it difficult to compare and cross-reference different studies.

Furthermore, there may be other more established methods that are preferred by researchers for solving coupled non-linear PDEs, leading to a smaller pool of papers using HAM and HPM.

Overall, while HAM and HPM have shown promise in solving coupled non-linear PDEs, further research and exploration is needed to fully understand their capabilities and limitations. It is important for researchers to continue to investigate and improve upon these methods in order to expand their applicability and impact in the scientific community.
 

1. What is Homotopy Analysis Method (HAM)?

Homotopy Analysis Method (HAM) is a mathematical technique for solving nonlinear differential equations. It involves constructing a homotopy or continuous path between a known linear equation and the desired nonlinear equation, and then solving the resulting series of equations using perturbation methods.

2. How does HAM differ from other perturbation methods?

HAM differs from other perturbation methods, such as the traditional perturbation method or the Adomian decomposition method, in that it does not require the smallness of a parameter in the equation. It can be applied to both weakly and strongly nonlinear problems, making it a more versatile method.

3. What are the advantages of using HAM?

One of the main advantages of using HAM is its ability to solve a wide range of nonlinear problems, including those that cannot be solved by other perturbation methods. It also does not require the assumption of small perturbation parameters, making it applicable to a larger number of real-world problems. Additionally, HAM provides an accurate and efficient solution compared to other numerical methods.

4. Are there any limitations to using HAM?

Like any mathematical method, HAM also has its limitations. It may not provide an exact solution for highly nonlinear problems, and the convergence of the series solution may be slow for some equations. It also requires careful selection of the auxiliary linear operator and initial approximation to ensure accurate results.

5. How is HAM used in practical applications?

HAM has been successfully applied in various fields, including engineering, physics, and biology, to solve complex nonlinear problems. It has been used to model the behavior of fluids, study the dynamics of structures, and analyze the spread of diseases, among others. Its versatility and accuracy make it a valuable tool for scientists and engineers in different industries.

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