For a real signal , the Fourier series coefficients satisfy conjugate symmetry:
The same property holds for the Fourier transform of a real signal: .
Derivation
For real , take the complex conjugate of the analysis equation:
(We pulled the conjugate inside the integral; is real so it’s unchanged; the conjugate of is , so we end up with the coefficient.)
Two consequences
Magnitude is even, phase is odd. Writing :
The magnitudes of and are equal; the phases are equal in magnitude and opposite in sign.
Negative coefficients are determined by positive. Only compute for ; the rest follow by conjugation. This cuts the work in half.
Worked verification
For the sawtooth example on , we found for , purely imaginary with magnitude (even in ) and phase (odd in , since has phase and has phase , and the sign flips when does). ✓
Implications for the trigonometric form
Conjugate symmetry is what makes the trigonometric Fourier series consist of real cosine and sine coefficients. The pair is real, hence is real. Similarly is real, hence is real.
If were complex-valued, conjugate symmetry would fail and the trigonometric form wouldn’t exist as a real-coefficient representation.
Special symmetries
- Real and even → is real and even in . The trigonometric form has only cosines (all ).
- Real and odd → is purely imaginary and odd in . The trigonometric form has only sines (all ).
- Real but neither even nor odd → has both real and imaginary parts; the trigonometric form has both cosines and sines.
Recognizing parity in before computing coefficients can simplify integrals significantly. See Even and odd signals.