Proving functions are linearly dependent

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Discussion Overview

The discussion revolves around the linear dependence and independence of a set of functions, specifically within the context of the space of continuous functions on a given interval. Participants explore how to combine these functions to demonstrate their relationships, particularly focusing on functions like sine, cosine, linear, and exponential functions.

Discussion Character

  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant proposes a combination of the first three functions, ##\sin^2 t + \cos^2 t - \frac{1}{3} \times 3 = 0##, suggesting a potential linear dependence.
  • Another participant questions how to combine the functions ##\varphi_4(t) = t## and ##\varphi_5(t) = e^t## to achieve a sum of zero, expressing uncertainty.
  • A participant introduces the concept of differentiability as a possible avenue for exploration in proving linear dependence.
  • There is a challenge regarding the initial claim of linear independence, with a participant pointing out that a non-trivial linear combination has been presented, which implies dependence.
  • One participant reiterates the theorem that if two functions are linearly dependent, any larger set including them must also be dependent, acknowledging the implications of this theorem.
  • Another participant clarifies that a specific linear combination, ##\sin^2(t) + \cos^2(t) + 0 \cdot t - \frac{1}{3}3 + 0 \cdot e^t##, serves as a nontrivial example of linear dependence.

Areas of Agreement / Disagreement

Participants express differing views on the linear independence of the functions, with some asserting that a non-trivial linear combination has been found, while others question the implications of this finding. The discussion remains unresolved regarding the overall linear independence of the set of functions.

Contextual Notes

There are limitations regarding the assumptions made about the functions and their combinations, as well as the dependence on definitions of linear independence and dependence. The mathematical steps leading to conclusions about linearity are not fully resolved.

brotherbobby
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TL;DR
We have set of functions ##\varphi (t)## continuous in the interval ##[a,b]##. The set is a linear (vector) space with the usual definitions of addition and multiplication by real numbers. We denote this space by ##C[a,b]##.

Statement of the problem : Prove that the following set of functions are linearly independent in the space ##C[a,b]## mentioned above : ##\varphi_1(t) = \sin^2 t, \varphi_2(t) = \cos^2 t, \varphi_3(t) = t, \varphi_4(t) = 3 \; \text{and} \; \varphi_1(t) = e^t##
We can make the first three functions add up to zero in the following way : ##\sin^2 t+\cos^2 t-\frac{1}{3}\times 3 = \varphi_1(t) + \varphi_2(t) - \frac{1}{3} \varphi_3(t) = 0##.

However, look at ##\varphi_4(t) = t## and ##\varphi_5(t) = e^t##. How does one combine the two to add up to zero? I can't see a way out.

Any help would be appreciated.
 
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What about using the differentiability of these functions?
 
brotherbobby said:
Summary:: We have set of functions ##\varphi (t)## continuous in the interval ##[a,b]##. The set is a linear (vector) space with the usual definitions of addition and multiplication by real numbers. We denote this space by ##C[a,b]##.

##\text{Statement of the problem :}## Prove that the following set of functions are linearly independent in the space ##C[a,b]## mentioned above : ##\varphi_1(t) = \sin^2 t, \varphi_2(t) = \cos^2 t, \varphi_3(t) = t, \varphi_4(t) = 3 \; \text{and} \; \varphi_1(t) = e^t##

We can make the first three functions add up to zero in the following way : ##\sin^2 t+\cos^2 t-\frac{1}{3}\times 3 = \varphi_1(t) + \varphi_2(t) - \frac{1}{3} \varphi_3(t) = 0##.

However, look at ##\varphi_4(t) = t## and ##\varphi_5(t) = e^t##. How does one combine the two to add up to zero? I can't see a way out.

Any help would be appreciated.
You say you want to show linear independence, but you gave a non trivial linear combination?
If ##\vec{u},\vec{v}## are linearly dependent, then ##\{\,\vec{u},\vec{v},\vec{w}\,\}## are automatically linearly dependent, too.
 
fresh_42 said:
You say you want to show linear independence, but you gave a non trivial linear combination?
If ##\vec{u},\vec{v}## are linearly dependent, then ##\{\,\vec{u},\vec{v},\vec{w}\,\}## are automatically, too, linearly dependent.

I assumed the question is to investigate the linear indepence of these functions.
 
fresh_42 said:
You say you want to show linear independence, but you gave a non trivial linear combination?
If ##\vec{u},\vec{v}## are linearly dependent, then ##\{\,\vec{u},\vec{v},\vec{w}\,\}## are automatically, too, linearly dependent.

Many thanks. Sorry I forgot this is a theorem. "Given any two linearly dependent functions, any larger set of vectors involving the two is also linearly dependent".

Many thanks and apologies.
 
You don't need to cite any theorem: ##\sin^2(t)+\cos^2(t)+0\cdot t-\frac{1}{3}3+0\cdot e^t## is a nontrivial linear combination that is zero (and this example should make it clear why that theorem is true).
 

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