Orthogonal functions are defined as having an integral of their product equal to zero over a specified interval, indicating that when one function is active, the other is passive. This concept generalizes the idea of perpendicular vectors in geometry, where their dot product is also zero. In the context of function spaces, particularly L_2[a, b], orthogonality is defined through an inner product, allowing for broader applications in analysis. Examples include the sine and cosine functions, which maintain orthogonality under certain conditions. Understanding orthogonality is crucial for various mathematical and engineering applications, particularly in signal processing and Fourier analysis.