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The Fourier transform is a mathematical function that decomposes a waveform that is a function of time into the frequencies that make it up. The result produced by the Fourier transform is a complex valued function of frequency.

The Fourier transform is given by $\mathit{A}\left(k\right)\mathbf{=}\frac{\mathbf{1}}{\mathbf{2}\mathbf{π}}{\mathbf{∫}}_{\mathbf{-}\mathbf{∞}}^{\mathbf{∞}}\mathit{ψ}\left(x\right){\mathit{e}}^{\mathbf{-}\mathbf{i}\mathbf{k}\mathbf{x}}\mathit{d}\mathit{x}$.

The Fourier transform can be obtained as follows:

$$\begin{gathered} A\left(k\right)=\frac{1}{2\mathrm{Ï€}}{∫}_{-∞}^{∞}f\left(x\right)e^{-ikx}dx \\ =\frac{C}{2\mathrm{Ï€}}{∫}_{-∞}^0{e}^{\mathrm{Î\pm }x}{e}^{-ikx}dx+\frac{B}{2\mathrm{Ï€}}{∫}_0^{∞}{e}^{\mathrm{Î\pm }x}{e}^{-ikx}dx \\ =\frac{C}{2\mathrm{Ï€}}{∫}_{-∞}^0{e}^{\left(\mathrm{Î\pm }-ik\right)x}dx+\frac{B}{2\mathrm{Ï€}}{∫}_0^{∞}{e}^{-\left(\mathrm{Î\pm }+ik\right)x}dx \end{gathered}$$

Solve the above equation as follows:

$$\begin{gathered} A\left(k\right)=\frac{C}{2\mathrm{Ï€}}\left(\frac{1}{\mathrm{Î\pm }-ik}\right)+\frac{B}{2\mathrm{Ï€}}\left(\frac{1}{\mathrm{Î\pm }-ik}\right) \\ =\frac{1}{2\mathrm{Ï€}}\left(\frac{\left(C+B\right)\mathrm{Î\pm }\left(C-B\right)ik}{{\mathrm{Î\pm }}^2+k^2}\right) \end{gathered}$$

The sketch of the given function$f\left(x\right)$is shown below:

As the Fourier transform $A\left(k\right)$obtained is $\frac{1}{2\mathrm{Ï€}}\left(\frac{\left(C+B\right)\mathrm{Î\pm }+\left(C-B\right)ik}{{\mathrm{Î\pm }}^2+K^2}\right)$. Now, if the value of k becomes very large, then the first term in the expression becomes negligible because the value of $\mathrm{Î\pm }$ become negligible compared to k. So, if the value of k becomes

very large then the Fourier transform becomes $A\left(k\right)=\frac{1}{2\mathrm{Ï€}}\left(\frac{\left(C-B\right)ik}{k^2}\right)$which is equivalent to $A\left(k\right)=\frac{1}{2\mathrm{Ï€}}\left(\frac{\left(C-B\right)i}{k}\right)$.

Hence, it is proved that for large k, A(K) is proportional to $\frac{1}{k}$.

The graph in the part (a) implies that the graph is continuous at $C=B$. So, at $C=B$, the expression for$A\left(k\right)$ becomes $\frac{1}{2\mathrm{Ï€}}\left(\frac{\left(C+B\right)\mathrm{Î\pm }}{{\mathrm{Î\pm }}^2+k^2}\right)$. Here, the value of$A\left(k\right)$ falls down rapidly if the value ofk increases and approaches to very large values.

Thus,$f\left(x\right)$ is continuous at $C=B$,$A\left(k\right)$ falls off rapidly if this condition holds.

Compare part (b) and (c) to get the condition where the function has a lag in the function decay when becomes very large. The function in part (c) falls more rapidly than in part (b).

Thus, the discontinuity affects the content to fall more slowly.