This work presents the application of the lesser-known yet significant Sommerfeld-Watson transformation (SWT) for the analytical diagonalization of specific Hamiltonians in condensed matter physics.

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From an innovative (and subsequently controversial) opening ceremony to shattered world records across the sports spectrum, the Paris Olympics have marked a celebratory return to the Games we knew and ...

Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education and School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi’an, Shaanxi 710119, P. R. China ...

TORONTO, ON / ACCESSWIRE / January 11, 2024 / Orthogonal Global Group Inc. ("Orthogonal" or the "Company") (CSE:OGG)(OTC PINK:OGGIF)(FRA:KZ2), a diversified investment company focused on furthering ...

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The problem of joint approximate diagonalization of symmetric real matrices is addressed. It is reduced to an optimization problem with the restriction that the matrix of the similarity transformation ...

Abstract: Recently, many non orthogonal joint diagonalization (NOJD) algorithms have been developed and applied in several applications including blind source separation (BSS) problems. The aim of ...