The application of Fourier Transform properties in radio broadcasting is multifaceted, enabling significant advancements in the way signals are transmitted and received. Key areas where these properties are utilized include simultaneous multi-channel transmission, audio clip speed adjustments, live broadcast delays for different time zones, audio frequency adjustments, and signal demodulation.

In radio broadcasting, multiple audio signals often need to be transmitted simultaneously. The Fourier Transform facilitates this by converting time-domain signals into their frequency-domain counterparts. When dealing with linear combinations of multiple signals, the Fourier Transform simplifies the process. If f(t) and g(t) are two time-domain functions with their respective Fourier Transforms F(ω) and G(ω), the transform of a linear combination af(t)+bg(t) (where a and b are constants) is simply aF(ω)+bG(ω). This property allows broadcasters to manage and manipulate multiple channels efficiently.

Audio clip speed adjustments also benefit from the Fourier Transform. Scaling a function f(t) by a real constant a results in a new frequency component. For instance, if f(at) is the scaled function, its Fourier Transform will spread or compress depending on the value of a, effectively changing the pitch and speed of the audio clip.

Live broadcast delays for different time zones require precise time shifting of the audio signals. When a function f(t) is shifted by a constant t₀, its Fourier Transform is modified by a phase factor e^-iωt₀, where ω is the angular frequency. The magnitude of the spectrum remains unchanged, meaning the phase is altered without affecting the signal's frequency components. This is critical in synchronizing broadcasts across various time zones without distorting the original audio content.

For audio frequency adjustments, the differentiation property of the Fourier Transform is employed. The Fourier Transform of the derivative of a function f′(t) is given by iωF(ω). This property is used to emphasize or de-emphasize certain frequency components by applying filters in the frequency domain, thereby adjusting the audio's tonal quality.

Signal demodulation in radio broadcasting also leverages the Fourier Transform. By integrating a function f(t) in the time domain, the resulting Fourier Transform is divided by iω, along with an additive term to account for the DC component. This process helps in extracting the baseband signal from a modulated carrier wave, which is essential for clear audio signal retrieval.

In summary, the Fourier Transform and its properties are indispensable tools in modern radio broadcasting. They enable efficient multi-channel transmission, precise audio adjustments, synchronized time delays, and effective signal demodulation, ensuring high-quality broadcast performance.