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Planar FMM operation count under explicit linear-size tree and list bounds
Statement
Let and . Suppose the finite quadtree and recursive interaction decomposition supplied to Fixed-order planar Laplace fast multipole procedure are linear-size level-restricted and have bounded lists in the exact sense of Finite planar quadtree and separated interaction lists: , , and for a constant independent of . Counting each complex addition, multiplication, division by a nonzero number, coefficient copy, cell-pair inspection, and evaluation of a fixed logarithm branch at one argument as one operation, the FMM passes and direct near evaluation use at most operations for an absolute implementation constant . Hence the total counted work is , and therefore for . The input quadtree construction and point-to-cell preprocessing are not included; a highly clustered input must report its actual tree depth, node count, and list/traversal counts before a linear-in- conclusion is made.
Facts & Assumptions
Given: A finite quadtree, its cell-membership arrays, the recursive pair decomposition, and a fixed order .
Finite planar quadtree and separated interaction lists: counts nonempty cells, counts recursive pair inspections, counts far cell pairs, and counts direct near particle pairs; the linear-size and bounded-list assumptions are explicit inequalities on these counts.
Fixed-order planar Laplace fast multipole procedure: P2M, M2M, M2L, L2L, L2P, and direct near evaluation are finite sums with the displayed index ranges; M2M and L2L process only parent-child edges whose two cells are nonempty.
Planar FMM lists partition all ordered off-diagonal particle pairs: each off-diagonal pair appears once in the far or direct list.
Proof
At each nonempty leaf, P2M accumulates moments per resident source, so the total is at most operations up to a constant. The nonempty cells form a rooted connected subtree, so enumerating them by inspecting four children per nonempty internal cell costs and yields exactly parent-child edges whose two cells are nonempty. On each such edge, M2M or L2L evaluates triangular sums with terms, hence at most operations. Empty-child moments are zero and their edges are skipped. Initializing the local vectors costs , and both this and the enumeration cost are absorbed in the displayed bound.
For each of the far pairs, M2L forms coefficients, each using at most terms, and evaluates the fixed logarithm once at the pair center; this costs because . L2P evaluates one degree- polynomial and its derivative at each of targets in operations.
The recursive list decomposition uses cell-pair inspections. Each of the direct near particle-pair evaluations uses a constant number of arithmetic operations and one fixed-logarithm evaluation. By [F3] no required pair is counted twice or omitted; the work to dispatch the finite lists is included in these counts.
Adding the counts from steps 1.1, 1.2, and 1.3 gives the displayed operation bound after increasing one absolute constant . The assumptions , , and then give ; since , , giving . No bound on the cost of constructing the input quadtree or assigning its points was used.
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Sources
- Leslie Greengard and Vladimir Rokhlin, A Fast Algorithm for Particle Simulations, Journal of Computational Physics 73 (1987), 325–348 (standard reference, not scraped)
- James Demmel, Fast Hierarchical Methods for the N-body Problem, Part 2, CS267 Lecture 25 (1996) (standard reference, not scraped)