Fourier Representation of Odd and Even Functions
Symmetry-Based Simplification of Trigonometric Series
We begin by recalling the formal definitions of symmetry for functions in \(\mathbb{R}^2\).
Even Functions: A function is even if \(f(-x) = f(x)\). These functions are symmetric across the y-axis.
Odd Functions: A function is odd if \(f(-x) = -f(x)\). These functions are rotationally symmetric about the origin (unchanged by a 180° rotation).
The trigonometric Fourier Series on the interval \((-\pi, \pi]\) is defined as:
Where the coefficients are calculated as:
Even Functions: The Cosine Series
If \(f(\theta)\) is even, it is comprised solely of cosine waves. Since cosine is even and sine is odd, the product properties of symmetry dictate the result.
For the sine coefficients \(b_n\), we analyze the integral over the full period:
By substituting \(\theta \to -\theta\) in the second integral and noting that \(f\) is even while \(\sin\) is odd, the terms cancel exactly:
Result: For an even function, the series reduces to:
Odd Functions: The Sine Series
Conversely, if \(f\) is odd, its Fourier representation consists only of sine waves. Following the same logic for the cosine coefficients \(a_n\):
Because \(f(-\theta) = -f(\theta)\) and \(\cos(-n\theta) = \cos(n\theta)\), the integral of the product is zero:
Result: For an odd function, the series reduces to:
This symmetry property is not just a theoretical convenience; it allows engineers to skip half the calculations when processing signals with known symmetries, such as square or triangle waves.