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Research Article

Kronecker Sequences with Many Distances

Figures & data

Fig. 1 The best current upper and lower bounds for the maximum number of distances in the Euclidean norm (g¯2d, purple) and the maximum norm (g¯d, green) as a function of the dimension.

Fig. 1 The best current upper and lower bounds for the maximum number of distances in the Euclidean norm (g¯2d, purple) and the maximum norm (g¯∞d, green) as a function of the dimension.

Fig. 2 Left: plot of g1(α,5). Right: the Kronecker sequence for α=0.28, showing three shortest distances, d(α,5α)<d(2α,5α)<d(2α,3α).

Fig. 2 Left: plot of g1(α,5). Right: the Kronecker sequence for α=0.28, showing three shortest distances, d(α,5α)<d(2α,5α)<d(2α,3α).

Fig. 3 Upper left: plot of g22(α,9) in the α plane. The color (black for 1 to yellow for 5) indicates g22(α,9), that is, the number of distinct shortest distances for N = 9, the given α and Euclidean metric. The region with five distances is too small to be visible and shown in the upper right panel. Lower left and right: Plots of g2(α,11) in the α plane, that is, for N = 11 and the maximum metric.

Fig. 3 Upper left: plot of g22(α,9) in the α plane. The color (black for 1 to yellow for 5) indicates g22(α,9), that is, the number of distinct shortest distances for N = 9, the given α and Euclidean metric. The region with five distances is too small to be visible and shown in the upper right panel. Lower left and right: Plots of g∞2(α,11) in the α plane, that is, for N = 11 and the maximum metric.

Fig. 4 Upper left: the Kronecker sequence for α=(0.132,0.38), showing five shortest distances in the Euclidean metric, d2(α,9α)<d2(2α,9α)<d2(3α,9α)<d2(4α,9α)<d2(5α,7α). Upper right: Formation of the curved triangle and other structure in the upper right panel of . Here, the two components of α are plotted, with Cm,n the circular arc defined by ⏧mα⏧=⏧nα⏧ in the Euclidean metric. Lower left: Kronecker sequence for α=(0.115,0.314) showing the five shortest distances in the maximum metric, d(α,11α)<d(2α,11α)<d(4α,11α)<d(5α,11α)<d(6α,5α). Lower right: Formation of the pentagon in the lower right panel of . For Nn,j, see Equationequation (9). The boundary of the pentagonal solution set consists of line segments where various combinations of these are equal.

Fig. 4 Upper left: the Kronecker sequence for α=(0.132,0.38), showing five shortest distances in the Euclidean metric, d2(α,9α)<d2(2α,9α)<d2(3α,9α)<d2(4α,9α)<d2(5α,7α). Upper right: Formation of the curved triangle and other structure in the upper right panel of Figure 3. Here, the two components of α are plotted, with Cm,n the circular arc defined by ⏧mα⏧=⏧nα⏧ in the Euclidean metric. Lower left: Kronecker sequence for α=(0.115,0.314) showing the five shortest distances in the maximum metric, d∞(α,11α)<d∞(2α,11α)<d∞(4α,11α)<d∞(5α,11α)<d∞(6α,5α). Lower right: Formation of the pentagon in the lower right panel of Figure 3. For Nn,j, see Equationequation (9)(9) ⏧nα⏧p={(∑j=1dNn,jp)1/pp<∞max1≤j≤dNn,jp=∞(9) . The boundary of the pentagonal solution set consists of line segments where various combinations of these are equal.

Table 1 Examples where the bound equation (Equation15) is tight for the Euclidean norm.

Table 2 Examples where the bound equation (Equation15) is tight for the maximum norm.

Table 3 Examples with gp3(α,N)=9.