Linear independence of the set of exponential functions

In summary, the conversation discusses proving that the functions f_1, ..., f_n are linearly independent in the space of real-valued functions when n is a natural number. The idea of using simultaneous equations to show that the coefficients must be zero is mentioned, but the method is not easily generalized for arbitrary n. The possibility of using a generalized Wronskian is also discussed but deemed potentially confusing. Finally, the suggestion to differentiate both sides of the equation is mentioned as a possible approach.
  • #1
Monocles
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Homework Statement


For each [tex] n \in \mathbb{N},[/tex] let [tex]f_n(x) = e^{nx}[/tex] for [tex]x \in \mathbb{R}[/tex]. Prove that [tex] f_1, ... , f_n [/tex] are linearly independent vectors in [tex] {\cal F}(\mathbb{R}, \mathbb{R})[/tex]


Homework Equations





The Attempt at a Solution


I know that the simple way to prove this for n=2 would be by setting x to 0 and 1 and showing that c_1 and c_2 must be 0 with two simultaneous equations. However I don't know how to generalize that to an arbitrary n. I considered making a generalized Wronskian, but I think that would get sloppy and confusing very quickly.
 
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  • #2
What happens when you differentiate both sides of

[tex]c_1 f_1 + \cdots + c_n f_n = 0?[/tex]
 

What is the definition of linear independence of the set of exponential functions?

Linear independence of a set of exponential functions means that none of the functions in the set can be written as a linear combination of the other functions in the set. In other words, each function in the set is unique and cannot be expressed in terms of the others.

Why is it important to determine if a set of exponential functions is linearly independent?

Determining the linear independence of a set of exponential functions is important because it allows us to understand the behavior and relationships between the functions. It also helps us to simplify calculations and solve equations involving these functions.

How can we determine if a set of exponential functions is linearly independent?

To determine if a set of exponential functions is linearly independent, we can use the Wronskian determinant. If the determinant is non-zero, then the functions are linearly independent. Alternatively, we can also check if the functions satisfy the definition of linear independence by solving for the coefficients in a linear combination of the functions.

Can a set of two exponential functions be linearly independent?

Yes, a set of two exponential functions can be linearly independent if they cannot be written as a linear combination of each other. For example, the functions e^x and e^2x are linearly independent, as neither can be expressed in terms of the other.

What is the relationship between linear independence and the number of parameters in a set of exponential functions?

The number of parameters in a set of exponential functions is equal to the number of linearly independent functions in the set. This means that if a set of exponential functions has n parameters, then it is also composed of n linearly independent functions.

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