Vector space for solutions of differential equations

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SUMMARY

The discussion centers on the theorem that states the set of all functions that are solutions to a linear differential equation forms a vector space, specifically a subspace of the vector space of all functions of a real variable. This theorem is fundamental in understanding the nature of solutions to second-order differential equations. The participants emphasize the importance of recognizing that any linear combination of two solutions is also a solution, which is a key property of vector spaces. A reference to a relevant resource is provided for further exploration of this concept.

PREREQUISITES
  • Understanding of linear differential equations
  • Familiarity with vector space concepts
  • Basic knowledge of real-valued functions
  • Mathematical proof techniques
NEXT STEPS
  • Study the theorem on vector spaces in the context of linear differential equations
  • Review the provided resource: Introduction to Ordinary Differential Equations
  • Explore the implications of linear combinations of solutions in differential equations
  • Learn about the properties of vector spaces and subspaces in mathematical analysis
USEFUL FOR

Students of mathematics, mechanical engineers seeking to deepen their understanding of differential equations, and anyone interested in the theoretical foundations of linear algebra and its applications in engineering.

Trying2Learn
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TL;DR
Why is the solution of a diff.eq. a vector space
Good Morning

Recently, I asked why there must be two possible solutions to a second order differential equation. I was very happy with the discussion and learned a lot -- thank you.

In it, someone wrote:

" It is a theorem in mathematics that the set of all functions that are solutions of a linear differential equation is a vector space , sub space of the vector space of all functions (of a real variable). "

Is there a chance someone could provide the name of this theorem and provide link (preferably on-line) to a simple, introductory discussion about it?
 
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I believe that this fact is noticed in all textbooks. But you hardly find a proof because it is too trivial.
 
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wrobel said:
I believe that this fact is noticed in all textbooks. But you hardly find a proof because it is trivial.

Could you provide a reference... I just need to see it stated and the context.

I am a mech.eng. with flawed appreciation for math. I use it, machine like, and would like to explore this.

It is NOT trivial for me.
 
Trying2Learn said:
It is NOT trivial for me.
To be a vector space means that if you have two solutions, say ##y_1(x)## and ##y_2(x)##, then any linear combination of them is also a solution. This means that any functions of the form ##h(x)=ay_1(x)+by_2(x)##, where ##a## and ##b## can be any real numbers is also a solution to your equation.
 

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