Mexican Hat wavelet transform of distributional convolutors

In this paper, we extend the framework of distributional convolutors to the Mexican Hat Wavelet Transform and establish key analytical properties in generalized function spaces. We derive distributional inversion results and prove Calderón-type reproducing formulas adapted to the Mexican Hat setting. The analysis ensures that the transform preserves structural features of distributions and provides a rigorous foundation for further applications.