Linearly independent vs dependent functions

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The discussion centers on the concept of linear dependence among functions defined by the coefficients (c_1, c_2, c_3, c_4). It is clarified that the functions are indeed linearly dependent for any value of c_1 in the real numbers, except for zero, as having all coefficients equal to zero does not satisfy the requirement for linear dependence. The confusion arises from the interpretation of linear dependence, which requires at least one non-zero coefficient. The participants emphasize that the functions cannot be considered independent if there exists a non-zero solution to the linear combination equating to zero. The distinction between dependence and independence is crucial for understanding the behavior of these functions in relation to their coefficients.
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Homework Statement
Please see below
Relevant Equations
Please see below
For part(b),
1717397036962.png

My solution is,
##(c_1, c_2, c_3, c_4) = (c_1, 5c_1, -c_1, -3c_1)##

They have taken the case that c_1 = -1, which gives their expression for a linear dependent function as they have shown. However, I'm confused that the functions are linearly dependent for any value of ##c_1 \in \mathbb{R}##. Since if we take ##c_1 = 0##, then ##c_1 = c_2 = c_3 = c_4 = 0##. I agree thought they the functions are linear dependent for ##c_1 \in \mathbb{R}\{0\} ## (Set of real numbers without zero)

Does someone please know why they did not include that case?

Thanks!
 
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ChiralSuperfields said:
Homework Statement: Please see below
Relevant Equations: Please see below

For part(b),
View attachment 346379
My solution is,
##(c_1, c_2, c_3, c_4) = (c_1, 5c_1, -c_1, -3c_1)##

They have taken the case that c_1 = -1, which gives their expression for a linear dependent function as they have shown. However, I'm confused that the functions are linearly dependent for any value of ##c_1 \in \mathbb{R}##. Since if we take ##c_1 = 0##, then ##c_1 = c_2 = c_3 = c_4 = 0##. I agree thought they the functions are linear dependent for ##c_1 \in \mathbb{R}\{0\} ## (Set of real numbers without zero)

Does someone please know why they did not include that case?

Thanks!
Heya! From the definition of linear dependence, the functions
$$f_1,f_2,...,f_k$$ are linearly dependent if there exist scalars $$a_1,a_2,..,a_k,$$ not all zero, such that
$$a_1f_1+\cdots f_ka_k=0.$$
 
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ChiralSuperfields said:
They have taken the case that c_1 = -1, which gives their expression for a linear dependent function as they have shown. However, I'm confused that the functions are linearly dependent for any value of ##c_1 \in \mathbb{R}##. Since if we take ##c_1 = 0##, then ##c_1 = c_2 = c_3 = c_4 = 0##. I agree thought they the functions are linear dependent for ##c_1 \in \mathbb{R}\{0\} ## (Set of real numbers without zero)
That is not at all what they are saying. Being linearly dependent means that there is a non-zero solution to
$$
\sum_{i = 1}^4 c_i f_i(t) = 0
$$
and their solution has all ##c_i \neq 0##. It makes no sense to say that the functions are linearly independent for some particular values of ##c_i##. Being linearly independent just means that there exists a non-zero solution for which the above equation holds for all ##t \in \mathbb R## (not ##c_i \in \mathbb R##), which is what they are saying.

Edit: Note: The correct ##\LaTeX## for the set you are referring to (the reals apart from zero) is ##\mathbb R \setminus \{0\}##.
 
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If ##c1f_1+c_2f_2+ c_3 f_3+ c_4f4=0##, then ##-( c_1f_1+ c2f_2+ c_3f_3+c_4 f_4)=0##. Notice each of your terms is,the negative of those in the solution from the book.
 
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