Linearity of Partial Differential Equations

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SUMMARY

The discussion centers on the classification of partial differential equations (PDEs) as linear or nonlinear, specifically examining the equation u_{t}-u_{xx}+xu=0. Participants analyze the linearity by rewriting the equation and applying the properties of linear operators. The key conclusion is that a PDE is linear if the dependent variable u and its derivatives appear only to the first degree, adhering to the linearity conditions L(u + v) = L(u) + L(v) and L(cu) = cL(u). This understanding is crucial for correctly identifying the nature of PDEs.

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  • Understanding of partial differential equations (PDEs)
  • Familiarity with linear operators in mathematical analysis
  • Knowledge of the properties of linearity in differential equations
  • Basic calculus, particularly differentiation and integration techniques
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  • Study the classification of partial differential equations, focusing on linear vs. nonlinear distinctions
  • Learn about the method of characteristics for solving first-order PDEs
  • Explore the implications of linearity in the context of boundary value problems
  • Investigate specific examples of linear PDEs and their solutions, such as the heat equation and wave equation
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Mathematicians, physicists, and engineering students who are studying partial differential equations and their applications in various fields, particularly those interested in the properties and solutions of linear PDEs.

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Is this linear homogeneous, linear inhomogeneous etc...
u_{t}-u_{xx}+xu=0

From that first one I get this
\frac{u_{t}-u_{xx}}{u}=-x
which I'm not sure is linear.

Edit:
Similar questions involve the following equations:
iu_{t}-u_{xx}+\frac{u}{x}=0

and

u_{x}+e^{y}u_{y}=0

Another Edit:

I think I see the answer. I can rewrite the first equation like this:
(u_{t}-u_{xx}+xu)(\frac{1}{x})=0(\frac{1}{x})

and get a linear equation:

\frac{u_{t}}{x}-\frac{u_{xx}}{x}+u=0
UGH... Another Edit..

I'm not sure which approach is correct, the first or the second...
 
Last edited:
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What makes such an equation linear is the fact that it is linear in the dependent variable u. That means u and its derivatives appear to the first degree. No u2 or uux and the like.

More specifically, if your differential operator is denoted L(u), it has the property that:

L(u + v) = L(u) + L(v) and L(cu) = cL(u) for constant c.

For example, given the equation

c(x,y)uxx+ f(x,y)u + g(x,y)uyy = h(x,y)

if you call L(u) = c(x,y)uxx+ f(x,y)u + g(x,y)uyy the equation becomes:

L(u) = h(x,y)

If you try the above two conditions on L, you will see that it satisfies them because of the linearity of taking derivatives. It wouldn't if it had terms like u2, sin(u) etc.
 

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