Solvability by semigroup : Application to seismic imaging with complex decomposition of wave equations and migration operators with idempotents
August Lau, Chuan Yin

TL;DR
This paper explores practical solvability of seismic imaging problems using semigroup theory, decomposing operators into numerically solvable parts and complex parts that are interpretable but not invertible.
Contribution
It introduces a novel application of semigroup theory to seismic imaging, enabling practical solutions through operator decomposition.
Findings
Operators are decomposed into simple and complex parts.
Simple parts are solvable by numerical methods.
Complex parts are interpretable but not numerically solvable.
Abstract
The classical approach of solvability using group theory is well known and one original motivation is to solve polynomials by radicals. Radicals are square, cube, square root, cube root etc of the original coefficients for the polynomial. A polynomial is solvable by radicals if the permutation group is solvable. This is exact solvability via group theory. With modern computers, we might need to relax our definition of exact solvability and move towards practical solvability. We will address seismic imaging as an example of practical solvability by semigroup theory. The difference between semigroup and group is that the semigroup operators do not have to be invertible as in group operators. Using the metaphor of complex decomposition, we will decompose an operator into simple part and complex part. The simple part of the operator is solvable by numerical methods. The complex part of the…
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Taxonomy
TopicsSeismic Imaging and Inversion Techniques · Geophysical Methods and Applications · Medical Imaging Techniques and Applications
