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Complex exponentials are some of the most important functions in our study of signals and systems. Their importance stems from their status as eigenfunctions of linear time invariant systems; as such, it can be both convenient and insightful to represent signals in terms of complex exponentials. Before proceeding, you should be familiar with complex numbers.
The complex exponential function will become a critical part of your study of signals and systems. Its general discrete form is written as
These discrete time complex exponentials have the following property, which will become evident through discussion of Euler's formula.
The mathematician Euler proved an important identity relating complex exponentials to trigonometric functions. Specifically, he discovered the eponymously named identity, Euler's formula, which states that for any real number ,
which can be proven as follows.
In order to prove Euler's formula, we start by evaluating the Taylor series for about , which converges for all complex , at . The result is
because the second expression contains the Taylor series for and about , which converge for all real . Thus, the desired result is proven.
Choosing , we have:
which breaks a discrete time complex exponential into its real part and imaginary part. Using this formula, we can also derive the following relationships.
Now let's return to the more general case of complex exponentials, . Recall that . We can express this in terms of its real and imaginary parts:
We see now that the magnitude of establishes an exponential envelope to the signal, with controlling rate of the sinusoidal oscillation within the envelope.
Discrete time complex exponentials are signals of great importance to the study of signals and systems. They can be related to sinusoids through Euler's formula, which identifies the real and imaginary parts of complex exponentials. Eulers formula reveals that, in general, the real and imaginary parts of complex exponentials are sinusoids multiplied by real exponentials.
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