Linear Algebra. Proving differentiable functions are a vector space.

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The discussion centers on proving that the set of differentiable functions satisfying the equation f' + 2f = 0 forms a vector space. Participants emphasize the importance of verifying that the sum of any two functions, as well as scalar multiples, also satisfies the equation. It is noted that the set of all differentiable functions is a vector space, and the specific subset defined by the equation must be shown to contain the zero function and be closed under addition and scalar multiplication. Clarifications on the role of the equation in the proof process are provided, highlighting its necessity in demonstrating the properties of the vector space. Overall, the conversation aids in understanding the requirements for establishing U as a subspace of V.
datran
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Question: Show the set of all differentiable functions on (-infinity, +infinity) that satisfy f′ + 2f = 0 is a vector space.

I started the problem by assuming that f and g are both differentiable functions that satisfy this vector space.

Then I ran through the ten axioms of addition and scalar multiplication and proving that each one works.

I feel like that does not answer the question though since why would I need the equation f' + 2f = 0?

How does that equation come into play?

Thanks for any help provided.
 
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welcome to pf!

hi datran! welcome to pf! :smile:
datran said:
I feel like that does not answer the question though since why would I need the equation f' + 2f = 0?

How does that equation come into play?

you have to prove eg that (f+g) satisfies that equation :wink:

(yes, i know it's obvious … but you still have to prove it!)
 
Oh!

So I would do (f+g) = (f+g)' + 2(f+g) = 0

and same thing over and over for the 10 axioms.

So really f and g are like variables?

Thank you so much! That actually made many more problems clearer!
 
You can start by proving that the set of all differentiable functions from ℝ to ℝ with the standard definitions of addition and scalar multiplication is a vector space. (Looks like you've done that already). Denote this space by V. Define U={f in V|f'+2f=0}. U is by definition a subset of V. If you prove that U contains the 0 function and is closed under addition and scalar multiplication, you can conclude that U is a subspace of V.
 

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