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Least path criterion (LPC) for unique indexing in a two-dimensional decagonal quasilattice
1Centre of Advanced Studies, Department of Metallurgical Engineering, Institute of Technology, Banaras Hindu University, Varanasi-221005, India. mukho@banaras.ernet.in
Summary
The least path criterion uniquely identifies indices in redundant basis vector systems. This mathematical proof focuses on the two-dimensional decagonal lattice for indexing applications.
Area of Science:
- Crystallography
- Materials Science
- Mathematical Physics
Background:
- Redundant basis vector systems are common in crystallography and materials science.
- Indexing these systems can be ambiguous, necessitating robust methods.
- The least path criterion offers a potential solution for unambiguous indexing.
Purpose of the Study:
- To mathematically prove the uniqueness of indices obtained via the least path criterion.
- To apply and analyze the least path criterion within the context of a two-dimensional decagonal lattice.
- To explore the concept of redundancy order in indexing sets.
Main Methods:
- Mathematical proof of the least path criterion's uniqueness.
- Application of the criterion to a two-dimensional decagonal lattice.
- Analysis of redundancy order in basis vector systems.
Main Results:
- A rigorous mathematical proof demonstrates the uniqueness of indices derived from the least path criterion.
- The study confirms the applicability of the least path criterion to the two-dimensional decagonal lattice.
- Insights into the order of redundancy in indexing sets are provided.
Conclusions:
- The least path criterion provides a unique and reliable method for indexing in redundant basis vector systems.
- This method shows promise for applications in crystallography and related fields.
- Further research can correlate redundancy order with other desirable indexing sets.