Showing that exponential functions are linearly independent

In summary, the book begins by assuming that the functions ##e^{r_1t}, e^{r_2t}, e^{r_3t}## are linearly dependent and reaches a contradiction by showing that ##e^{(r_1-r_3)t}=C##, which leads to the inequality ##e^{r_1-r_3}\neq 1##. This confirms that the original statement, that the functions are linearly independent, must be true.
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Mr Davis 97
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Homework Statement


If ##r_1, r_2, r_3## are distinct real numbers, show that ##e^{r_1t}, e^{r_2t}, e^{r_3t}## are linearly independent.

Homework Equations

The Attempt at a Solution


By book starts off by assuming that the functions are linearly dependent, towards contradiction. So ##c_1e^{r_1t} + c_2e^{r_2t}+ c_2e^{r_3t} = 0##. After differentiating and doing some manipulations, the book finds that ##e^{(r_1 - r_2)t} = C e^{(r_3 - r_2)t}##, where C is just some constant. It then states that this is a contradiction, so the original statement must be true. I am, however, a little confused as to why this is a contradiction. Is it a contradiction based on some previously shown result that two exponential functions with different powers can never be linearly dependent?
 
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We need a few more steps to get a formal contradiction:

If we multiply both sides by ##e^{(r_2-r_3)t}## the equation becomes ##e^{(r_1-r_3)t}=C##. Substituting successively 0 and 1 for ##t## we get
$$1=e^{(r_1-r_3)\cdot 0}=C=e^{(r_1-r_3)\cdot 1}=e^{r_1-r_3}\neq 1$$
where the last inequality follows from the fact that ##r_1\neq r_3##.
 
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Related to Showing that exponential functions are linearly independent

1. What is an exponential function?

An exponential function is a mathematical function in the form of f(x) = ab^x, where a and b are constants and x is the independent variable. The value of b determines the rate at which the function grows or decays.

2. How do you show that exponential functions are linearly independent?

To show that exponential functions are linearly independent, we need to prove that no linear combination of exponential functions can result in a zero function. This can be done by assuming that the coefficients of the exponential functions are not all zero and then showing that this leads to a contradiction.

3. What is the significance of linear independence in exponential functions?

Linear independence is important in exponential functions because it allows us to use them as a basis for other mathematical concepts, such as differential equations. It also helps us understand the behavior of exponential functions and their relationship with other functions.

4. Can exponential functions ever be linearly dependent?

Yes, it is possible for exponential functions to be linearly dependent. This can happen when one exponential function is a multiple of another, meaning that they have the same rate of growth or decay. In this case, they can be written as a linear combination of each other.

5. What are some real-world applications of exponential functions?

Exponential functions are commonly used in finance to model compound interest, in biology to study population growth, and in physics to describe radioactive decay. They are also used in technology, such as in the growth of computer processing power over time.

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