Solution space of linear homogeneous PDE forms a vector space?

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SUMMARY

The solution space of a linear homogeneous partial differential equation (PDE) defined by the operator L, denoted as Lu=0, indeed forms a vector space. This conclusion is established by proving two key properties: (i) the closure under addition, L(u+v)=0, and (ii) the closure under scalar multiplication, L(au)=0. These properties confirm that any linear combination of solutions remains a solution, satisfying the requirements for a vector space. The discussion highlights the assumption that the solutions are considered within the context of a subset of the vector space of all functions from U to V.

PREREQUISITES
  • Understanding of linear operators in the context of PDEs
  • Familiarity with vector space properties and axioms
  • Knowledge of linear combinations and their implications in functional analysis
  • Basic concepts of function spaces, specifically mappings from Rm to Rn
NEXT STEPS
  • Study the properties of vector spaces in the context of functional analysis
  • Explore the implications of linear operators on solution spaces of PDEs
  • Investigate the axioms of vector spaces and their applications in various mathematical contexts
  • Review the definitions and properties of function spaces, particularly in relation to PDE solutions
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This discussion is beneficial for mathematicians, students studying differential equations, and anyone interested in the theoretical foundations of linear algebra and functional analysis.

kingwinner
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Homework Statement


Claim:
The solution space of a linear homogeneous PDE Lu=0 (where L is a linear operator) forms a "vector space".

Proof:
Assume Lu=0 and Lv=0 (i.e. have two solutions)
(i) By linearity, L(u+v)=Lu+Lv=0
(ii) By linearity, L(au)=a(Lu)=(a)(0)=0
=> any linear combination of the solutions of a linear homoegenous PDE solves the PDE
=> it forms a vector space


Homework Equations


N/A

3. The Attempt at a Solution and comments
Now, I don't understand why ONLY by proving (i) and (ii) alone would lead us to conclude that it is a vector space. There are like TEN properties that we have to prove before we can say that it is a vector sapce, am I not right?
Are there any theorem or alternative definition that they have been using?

Thanks!
 
Last edited:
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maybe consider the other axioms and test them, some may have been considered more bovious, but always worth checking
 
Other things are satisfied by the definition of functions, for example u+v=v+u is obvious and not a property of being a solution of a PDE. It may be implicitly assumed that you're talking about the subset of the vector space of all functions from U to V (where U and V are Rm and Rn such that you'd be looking for solutions with that domain and codomain). In that case you only have to prove the two subspace properties
 

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