Does differentiation preserve linear independence?

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Discussion Overview

The discussion centers on whether differentiation preserves the linear independence of a set of functions. Participants explore this concept through theoretical reasoning, examples, and related mathematical inquiries, including the implications of linear transformations on vector spaces.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants propose that if a set of functions {f1, ..., fn} is linearly independent, then the set of their derivatives {f1', ..., fn'} may also be linearly independent.
  • Others question whether additional assumptions are necessary for linear transformations to preserve linear independence, suggesting that injectivity of the transformation is crucial.
  • A participant introduces a conjecture regarding the derivative operator and its injectivity, noting that if the derivative of a function is zero, the function must be constant.
  • Another participant provides a counterexample involving a constant function and a first-degree polynomial, indicating that differentiation does not preserve linear independence if constant functions are included.
  • Some participants discuss the implications of the kernel of the differentiation operator, noting that it consists of constant functions, which affects the preservation of linear independence.

Areas of Agreement / Disagreement

Participants express differing views on the preservation of linear independence under differentiation, with some agreeing on the necessity of certain conditions (like injectivity) while others provide counterexamples that challenge the initial hypothesis. The discussion remains unresolved regarding the general case.

Contextual Notes

Limitations include the dependence on the types of functions considered (e.g., the presence of constant functions) and the assumptions about the differentiability of functions in the vector space.

Who May Find This Useful

This discussion may be of interest to students and professionals in mathematics, particularly those studying linear algebra, calculus, and functional analysis.

AdrianZ
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If we take the derivative of n functions that are linearly independent to each other and we write it down like c1f1(x) + c2f2(x) +...+ cnfn(x)=0, then would the linear independence be preserved if we differentiate the equation with respect to x?
 
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Is this the statement you're trying to prove or disprove? If \{f_1,\dots,f_n\} is a linearly independent set, then so is \{f_1',\dots,f_n'\}.

If yes, then try to solve this problem first: Suppose that V is a vector space, that T:V→V is linear, and that \{v_1,\dots,v_n\}\subset V is a linearly independent set. Do we need to assume anything else to ensure that \{Tv_1,\dots,Tv_n\} is linearly independent?

(I can't just tell you the answer. The question is too much like a homework problem).
 
oh, i know this one. it has to do with that guy that invented kentucky fried chicken, right?

(by this, of course, i mean that the answer involves the colonel).
 
Fredrik said:
Is this the statement you're trying to prove or disprove? If \{f_1,\dots,f_n\} is a linearly independent set, then so is \{f_1',\dots,f_n'\}.

If yes, then try to solve this problem first: Suppose that V is a vector space, that T:V→V is linear, and that \{v_1,\dots,v_n\}\subset V is a linearly independent set. Do we need to assume anything else to ensure that \{Tv_1,\dots,Tv_n\} is linearly independent?

(I can't just tell you the answer. The question is too much like a homework problem).

Actually I neither want to prove nor to disprove it. It was a guess that I came up with. like a conjecture. I'm asking if anyone knows the answer, because I've seen that method frequently be used in many areas of mathematics.
If It's true, then a proof that requires no more advanced math than linear algebra will be highly appreciated.
About your question, it depends on T. I haven't thought about it yet but I guess if T is an invertible mapping, then the answer would be yes.
Deveno said:
oh, i know this one. it has to do with that guy that invented kentucky fried chicken, right?

(by this, of course, i mean that the answer involves the colonel).

Would you be more precise?
 
Yes, I know the answer. :smile:

The problem I came up with doesn't require anything advanced. But we need to assume something that ensures that Tx=0 implies that x=0. So we assume that T is injective, or equivalently, that ker T={0}. (Hence the chicken reference).

Now, is the derivative operator f\mapsto f' injective? (I like to denote it by D. So Df=f').
 
define T:V→V (we'll have to assume that all functions in V are differentiable, at least) by:

T(f) = f' = Df

show that T preserves linear independence iff ker(T) = {0}.

(ker(T) is the null space of T. it might help to think about constant functions, first).
 
Fredrik said:
Yes, I know the answer. :smile:

The problem I came up with doesn't require anything advanced. But we need to assume something that ensures that Tx=0 implies that x=0. So we assume that T is injective, or equivalently, that ker T={0}. (Hence the chicken reference).

Now, is the derivative operator f\mapsto f' injective? (I like to denote it by D. So Df=f').

Well, It's obviously necessary that Tx=0 implies x=0, because if not, the set {Tv1,Tv2,...,Tvn} contains the zero vector and will not be linearly independent. so KerT={0} is indeed a necessary condition.
To show that It's sufficient, let's take an arbitrary linear combination of Tvi's (i=1,...,n). If c1Tv1+c2Tv2+...+cnTvn=0 then we can write T(c1v1+c2v2+...+cnvn)=0. Hence, c1v1+c2v2+...+cnvn is in KerT and since KerT={0} we conclude that c1v1+c2v2+...+cnvn=0. but we had assumed that vi's were linearly independent, so that implies all ci's are zero.
according to a theorem in calculus and real analysis, if Df=0 then f is a constant function. we conclude that the kernel of D consists of all constant functions.
so D as a linear operator is not generally injective, but for all non-constant functions, can we say that D preserves linear independence?

so if T is an invertible operator, we surely can say that it preserves linear independence. 'cuz it's kernel is trivial. right?

Deveno said:
define T:V→V (we'll have to assume that all functions in V are differentiable, at least) by:

T(f) = f' = Df

show that T preserves linear independence iff ker(T) = {0}.

(ker(T) is the null space of T. it might help to think about constant functions, first).

Yes. Thanks for the help. By the way, what's the story of the colonel and fried chicken in linear algebra? haven't figured that out yet. lol.
 
Looks like you have understood what I was going for. The set {f,g} where f is a constant function and g is a first-degree polynomial, is a counterexample to the original hypothesis (because f' and g' are both constants). But if we start with a set without any constant members, then as you observed, linear independence will be preserved.

People in the USA pronounce "Colonel" and "kernel" the same. The KFC franchise, originally named Kentucky Fried Chicken, was founded by Colonel Sanders.
 
Thanks for the help guys.
 

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