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Consider~\(n\) nodes~\(\{X_i\}_{1 \leq i \leq n}\) independently distributedin the unit square~\(S,\) each according to a distribution~\(f.\) Nodes~\(X_i\)and~\(X_j\) are joined by an edge if the Euclidean distance~\(d(X_i,X_j)\) isless than~\(r_n,\) the adjacency distance and the resulting randomgraph~\(G_n\) is called a random geometric graph~(RGG). We now assign alocation dependent weight to each edge of~\(G_n\) and define~\(MST_n\) to bethe sum of the weights of the minimum spanning trees of all componentsof~\(G_n.\) For values of~\(r_n\) above the connectivity regime, we obtainupper and lower bound deviation estimates for~\(MST_n\) and~\(L^2-\)convergenceof~\(MST_n\) appropriately scaled and centred.

Minimum Spanning Trees of Random Geometric Graphs with Location Dependent Weights