Linear Partial Differential Equations Explained

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SUMMARY

Linear Partial Differential Equations (PDEs) are defined by the linear occurrence of a function u and its partial derivatives, potentially with coefficients that are functions of independent variables. A PDE is classified as homogeneous if the function f equals zero; otherwise, it is nonhomogeneous. The operator L, which transforms functions, is crucial for establishing linearity, satisfying the conditions L(u + v) = Lu + Lv and L(cu) = c*Lu. An example discussed is the PDE u_x + u_yy = exp(x^2), which is linear, while (u_x)^2 = 0 is not linear due to the failure of the linearity condition.

PREREQUISITES
  • Understanding of linear algebra concepts
  • Familiarity with differential calculus
  • Basic knowledge of differential equations
  • Experience with mathematical operators and functions
NEXT STEPS
  • Study the properties of linear operators in differential equations
  • Explore the classification of PDEs, focusing on homogeneous vs. nonhomogeneous equations
  • Learn about the method of characteristics for solving linear PDEs
  • Investigate applications of linear PDEs in physics and engineering contexts
USEFUL FOR

Students of mathematics, particularly those studying differential equations, as well as professionals in fields such as physics and engineering who require a solid understanding of linear PDEs.

Somefantastik
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"A PDE satisfied by a suitably differentiable function u of the independent variables x1, ... ,xn, is said to be linear if u and its partial derivatives only occur linearly and, posibly, with coefficients that are functions of independent variables. This PDE may, or may not, contain a function f that depends only on the independent variables. The PDE is said to be homogeneous when the function f(x1,...,xn) = 0; otherwise it is nonhomogeneous."

Is there a pictorial way to expound on this for me?
 
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I don't know of any pictorial way, but this is an interpretation I use. It is useful mainly because it is easily verifiable in a routine "not thinking" way. Of course as you gain confidence studying you will eventually just see this. This from Differential equations, an intoduction by Strauss.

"Write the equation in the form Lu = 0,
where L is an operator. That is, if v is any function, Lv is a new function. For
instance,L = d/dx is the operator that takes v into its derivative dv/dx.

The definition we want for linearity is: L(u + v) = Lu + Lv and L(cu) = c*Lu
for any functions u, v and any constant c."

Is PDE u_x + u_yy = exp(x^2) linear ? Yes, because (u+v)_x + (u+v)_yy = u_x + v_x + u_yy + v_yy and what about (u_x)^2 = 0 ? No, it is not linear because (u_x + v_x)^2 is NOT equal to (u_x)^2 + (u_y)^2

First one of theese was not homogenous because the right side is 0 the other is though.
That homogenous part is some function of independent variables free from derivatives.
cheers,

Adam
 
THANK YOU, that really helps.
I have Strauss's PDE book for next semester. I've looked through it and he looks pretty clear and concise.

Thanks again, it really helped.
 

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