Differential q-calculus of several variables

This comprehensive investigation explores the application and significance of q-differential calculus in the realm of vector functions of several variables, addressing critical aspects such as q-Rolle's theorem, the q-Mean-value theorem, and q-chain rule for vector functions.Additionally, we investigate the q-gradient, q-Jacobian, and q-Hessian operators, elucidating their roles in quantifying rates of change, determining directional derivatives, and characterizing critical points of multivariate functions.Furthermore, this research provides a rigorous treatment of Multivariate and Bivariate Taylor theorems in the context of q-differential calculus, presenting analytical expansions of functions around specific points and showcasing their utility in approximating functions in higher dimensions.The q-Maximum and Minimum are demonstrated and discussed as well.

Publication Details

Journal
Results in Nonlinear Analysis
Published
2024-09-01
DOI
https://doi.org/10.31838/rna/2024.07.03.011
Citations
1
Primary Topic
Polynomial and algebraic computation
Type
article
Field-Weighted Citation Impact
0.36
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article

Differential q-calculus of several variables

1 citations
Results in Nonlinear Analysis
Polynomial and algebraic computation
0.36
article

Differential q-calculus of several variables

article en
1 citations

Abstract

This comprehensive investigation explores the application and significance of q-differential calculus in the realm of vector functions of several variables, addressing critical aspects such as q-Rolle's theorem, the q-Mean-value theorem, and q-chain rule for vector functions.Additionally, we investigate the q-gradient, q-Jacobian, and q-Hessian operators, elucidating their roles in quantifying rates of change, determining directional derivatives, and characterizing critical points of multivariate functions.Furthermore, this research provides a rigorous treatment of Multivariate and Bivariate Taylor theorems in the context of q-differential calculus, presenting analytical expansions of functions around specific points and showcasing their utility in approximating functions in higher dimensions.The q-Maximum and Minimum are demonstrated and discussed as well.

Results in Nonlinear AnalysisVol. 7(3)
Openalex Percentile: Top 37%
Polynomial and algebraic computation
0.36
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