Use the Fourier transform convention , with inverse . Splitting at the origin, with to ensure convergence, givesThus
The original PDF has forcing ; the supplied TeX loses the absolute-value bars. Set . First assume and . The Fourier transform of a derivative, obtained by integration by parts with the boundary terms zero, is . Applying it and the preceding transform givesUsing the inverse Fourier transform pairs from part (i),Both decay conditions hold. The first derivatives of the two exponential terms cancel at zero, so is continuously differentiable there; the second derivatives have matching limits and the differential equation holds at zero as well as on both half-lines. For uniqueness, a difference solves the homogeneous equation. Decay gives on the positive half-line and on the negative half-line. Continuity gives and derivative continuity gives , forcing both to be zero.
The PDF's condition also allows , but no decaying solution exists when . Indeed on , and decay forces ; on , decay forces . Their one-sided derivatives at zero are and , which cannot match. The missing condition is therefore a genuine source omission, not a transcription repair. The transform expression at has a nonintegrable singularity, consistently with this obstruction.
For smooth rapidly decaying initial data, apply the Fourier transform in and differentiate under the integral. The Fourier transform of a derivative turns the wave equation intoSolving this constant-coefficient ordinary differential equation givesAt the quotient means its continuous limit , so .
Since , the Translation property of the Fourier transform inverts the first term as . Also has Fourier transform , including its limiting value at zero. The convolution theorem therefore inverts the second term asThis proves the D'Alembert formulaThe formula itself extends beyond the rapidly decaying class: and suffice for a classical solution, verified by differentiation and the two initial conditions. The decay assumption above justifies the ordinary transform derivation without distributional qualifications.
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