PDEs greater than order 2 with real world applications?

In summary, PDEs greater than order 2 are mathematical equations that involve multiple variables and their partial derivatives. They are more complex and require more advanced techniques to solve compared to lower order PDEs. Common real world applications include heat transfer, fluid dynamics, electromagnetism, and option pricing. These equations are typically solved using numerical methods such as finite difference, finite element, and spectral methods. Challenges in solving PDEs greater than order 2 include their complexity and the need for numerical approximation. However, they are valuable in modeling real world phenomena due to their ability to accurately capture the behavior of complex systems.
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Came across this today, a fourth order PDE - the Kuramoto–Sivashinsky equation, apparently used to model flames

1634249292980.png
https://en.wikipedia.org/wiki/Kuramoto–Sivashinsky_equation

Any other examples of high order PDEs with actual applications?

amoto%E2%80%93Sivashinsky_spatiotemporal_evolution.png
 
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Another example is one dimensional transverse waves on a uniform slender beam, which satisfy ## u_{xxxx} + a^2 \, u_{tt} = 0 ##. This is a special case of the Euler-Bernoulli equation
https://en.wikipedia.org/wiki/Euler–Bernoulli_beam_theory
 
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FAQ: PDEs greater than order 2 with real world applications?

1. What is a PDE greater than order 2 and how is it different from lower order PDEs?

A PDE (partial differential equation) greater than order 2 is a type of mathematical equation that involves multiple partial derivatives of a function. This means that the equation takes into account the rate of change of a function with respect to multiple variables. In comparison, lower order PDEs only involve first or second order derivatives. The higher order PDEs are more complex and often have more real world applications.

2. What are some common real world applications of PDEs greater than order 2?

PDEs greater than order 2 have a wide range of real world applications, including in physics, engineering, and finance. Some specific examples include modeling heat transfer in materials, analyzing fluid dynamics in aerodynamics, and predicting stock market trends.

3. How are PDEs greater than order 2 solved?

Solving PDEs greater than order 2 can be a challenging task, as there is no general method that can be applied to all types of equations. However, there are various techniques and methods that can be used depending on the specific equation and its boundary conditions. These include separation of variables, Fourier series, and numerical methods such as finite difference or finite element methods.

4. What are the limitations of using PDEs greater than order 2 in real world applications?

While PDEs greater than order 2 can be very useful in modeling and predicting real world phenomena, they also have some limitations. One of the main limitations is the difficulty in obtaining exact solutions for many complex equations. This often requires the use of numerical methods, which can introduce some error. Additionally, PDEs may not accurately capture all aspects of a real world system, leading to some discrepancies between the predicted and actual behavior.

5. How are PDEs greater than order 2 related to other areas of mathematics?

PDEs greater than order 2 are closely related to other areas of mathematics such as calculus, linear algebra, and functional analysis. They also have connections to other types of equations, such as ordinary differential equations and integral equations. Understanding these relationships can provide insight into the behavior of PDEs and aid in solving them.

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