This paper studies three types of functions arising separately in the analysis of algorithms that we analyze exactly using similar Mellin transform techniques. The first is the solution to a Multidimensional Divide-and-Conquer (MDC) recurrence that arises when solving problems on points in -dimensional space. The second involves weighted digital sums. Write in its binary representation and set $S_M(n) = \sum_{t=0}^i t^{\bar{M}} b_t 2^tTS_M(n) = \frac{1}{n}\sum_{j<n} S_M(j)nn=2^{i_1} + 2^{i_2} + … + 2^{i_k}i_1 > i_2 > … > i_k\geq 0$ and set . We analyze the average $TW_M(n) = \frac{1}{n}\sum_{j<n} W_M(j)$. We show that both the MDC functions and (with ) have solutions of the form $\lambda_d n \lg^{d-1}n + \sum_{m=0}^{d-2}(n\lg^m n)A_{d,m}(\lg n) + c_d,\lambda_d,c_dA_{d,m}(u)$'s are periodic functions with period one (given by absolutely convergent Fourier series). We also show that has a solution of the form $n G_M(\lg n) + d_M \lg^M n + \sum_{d=0}^{M-1}(\lg^d n)G_{M,d}(\lg n),d_M$ is a constant, and 's are again periodic functions with period one (given by absolutely convergent Fourier series).

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