Let   $\mathbb{T}$  denote the unit circle in the complex plane, and let
 $\mathbb{T}$  denote the unit circle in the complex plane, and let   $X$  be a Banach space that satisfies Burkholder’s
 $X$  be a Banach space that satisfies Burkholder’s   $\text{UMD}$  condition. Fix a natural number,
 $\text{UMD}$  condition. Fix a natural number,   $N\,\in \,\mathbb{N}$ . Let
 $N\,\in \,\mathbb{N}$ . Let   $\mathcal{P}$  denote the reverse lexicographical order on
 $\mathcal{P}$  denote the reverse lexicographical order on   ${{\mathbb{Z}}^{N}}$ . For each
 ${{\mathbb{Z}}^{N}}$ . For each   $f\,\in \,{{L}^{1}}({{\mathbb{T}}^{N}},X)$ , there exists a strongly measurable function
 $f\,\in \,{{L}^{1}}({{\mathbb{T}}^{N}},X)$ , there exists a strongly measurable function   $\tilde{f}$ such that formally, for all
 $\tilde{f}$ such that formally, for all   $\mathbf{n}\,\in \,{{\mathbb{Z}}^{N}},\,\hat{\tilde{f}}\,\left( \mathbf{n} \right)\,=\,-i\,{{sgn }_{\mathcal{P}}}\left( \mathbf{n} \right)\hat{f}\left( \mathbf{n} \right)$ . In this paper, we present a summation method for this conjugate function directly analogous to the martingale methods developed by Asmar and Montgomery-Smith for scalar-valued functions. Using a stochastic integral representation and an application of Garling’s characterization of
 $\mathbf{n}\,\in \,{{\mathbb{Z}}^{N}},\,\hat{\tilde{f}}\,\left( \mathbf{n} \right)\,=\,-i\,{{sgn }_{\mathcal{P}}}\left( \mathbf{n} \right)\hat{f}\left( \mathbf{n} \right)$ . In this paper, we present a summation method for this conjugate function directly analogous to the martingale methods developed by Asmar and Montgomery-Smith for scalar-valued functions. Using a stochastic integral representation and an application of Garling’s characterization of   $\text{UMD}$  spaces, we prove that the associated maximal operator satisfies a weak-type (1, 1) inequality with a constant independent of the dimension
 $\text{UMD}$  spaces, we prove that the associated maximal operator satisfies a weak-type (1, 1) inequality with a constant independent of the dimension   $N$ .
 $N$ .