\documentclass{amsart} % options include 12pt or 11pt or 10pt % classes include article, report, book, letter, thesis \usepackage{setspace} \usepackage{a4} \usepackage{amsthm} \usepackage{latexsym} \usepackage{amsfonts} \usepackage{graphicx} \usepackage{textcomp} \usepackage{cite} \usepackage{enumerate} \usepackage{amssymb} \usepackage{hyperref} \usepackage{amsmath} \usepackage{tikz} \usepackage[mathscr]{euscript} \usepackage{mathtools} \newtheorem{theorem}{Theorem}[section] \newtheorem{acknowledgement}[theorem]{Acknowledgement} \newtheorem{conjecture}[theorem]{Conjecture} \newtheorem{corollary}[theorem] {Corollary} \newtheorem{definition}[theorem]{Definition} \newtheorem{example}[theorem]{Example} \newtheorem{lemma} [theorem]{Lemma} \newtheorem{notation}[theorem]{Notation} \newtheorem{observation}[theorem]{Observation} \newtheorem{problem}[theorem]{Problem} \newtheorem{proposition}[theorem]{Proposition} \newtheorem{remark}[theorem]{Remark} \newtheorem{question}[theorem]{Question} \setlength{\parindent}{0pt} \setlength{\evensidemargin}{0.3cm} \setlength{\oddsidemargin}{0.3cm} \setlength{\topmargin}{-1cm} \textwidth 16cm \textheight 23cm \onehalfspacing \title{This is the title} \newcommand{\Cross}{\mathbin{\tikz [x=1.4eh,y=1.4eh,line width=.2ex] \draw (0,0) -- (1,1) (0,1) -- (1,0);}}% \raggedbottom \newcommand{\abs}[1]{\lvert#1\rvert} \newcommand{\blankbox}[2]{% \parbox{\columnwidth}{\centering \setlength{\fboxsep}{0pt}% \fbox{\raisebox{0pt}[#2]{\hspace{#1}}}% }% } \usepackage{fancyhdr} %\pagestyle{fancy} \pagestyle{fancy} %\thispagestyle{empty} \fancyhead[LO]{\textbf{Non-Archimedean Hudzik-Landes-Dragomir-Kato-Saito-Tamura Inequality}} \fancyhead[RE]{\textbf{K. Mahesh Krishna}} \begin{document} \hrule\hrule\hrule\hrule\hrule \vspace{0.3cm} \begin{center} {\bf\large{{Non-Archimedean Hudzik-Landes-Dragomir-Kato-Saito-Tamura Inequality}}}\\ \vspace{0.3cm} \hrule\hrule\hrule\hrule\hrule \vspace{0.3cm} \textbf{K. Mahesh Krishna}\\ School of Mathematics and Natural Sciences\\ Chanakya University Global Campus\\ NH-648, Haraluru Village\\ Devanahalli Taluk, Bengaluru North District\\ Karnataka State, 562 110, India\\ Email: kmaheshak@gmail.com\\ Date: \today \end{center} \hrule\hrule \vspace{0.5cm} %-------------------------------------- \textbf{Abstract}: In 1992, Hudzik and Landes \textit{[Math. Ann.]} derived a breakthrough generalization of the triangle inequality for two nonzero elements in normed linear spaces, which was generalized to finitely many nonzero elements independently in 2006 by Dragomir \textit{[Bull. Aust. Math. Soc.]} and in 2007 by Kato, Saito and Tamura \textit{[Math. Inequal. Appl]}. We derive a non-Archimedean version of Hudzik-Landes-Dragomir-Kato-Saito-Tamura inequality.\\ \textbf{Keywords}: Normed linear space, Triangle inequality, Non-Archimedean linear space, Ultra-norm.\\ \textbf{Mathematics Subject Classification (2020)}: 12J25, 46S10.\\ \hrule %\tableofcontents \hrule \section{Introduction} Let $\mathcal{X}$ be a normed linear space (NLS). From the definition of the norm, we have the triangle inequality \begin{align}\label{TI} \|x+y\|\leq \|x\|+\|y\|, \quad \forall x, y \in \mathcal{X}. \end{align} In 1992, Hudzik and Landes derived a breakthrough generalization of Inequality (\ref{TI}) which is valid for any two nonzero elements in a NLS \cite{HUDZIKLANDES}. \begin{theorem} \cite{HUDZIKLANDES} \label{HKT} (\textbf{Hudzik-Landes Inequlaity}) Let $\mathcal{X}$ be a NLS. Then for all $x, y \in \mathcal{X}\setminus\{0\}$, \begin{align}\label{HL} \|x+y\|\leq \|x\|+\|y\|-\left(2-\left\|\frac{x}{\|x\|}+\frac{y}{\|y\|}\right\|\right)\min\{\|x\|, \|y\|\}. \end{align} \end{theorem} We note that, in 2006, Maligranda independently derived Inequality (\ref{HL}) \cite{MALIGRANDA}. It is natural to ask for a generalization of Inequality (\ref{HL}) to more than two non-zero vectors. This is done independently by Dragomir in 2006 \cite{DRAGOMIR} and by Kato, Saito and Tamura in 2007 \cite{KATOSAITOTAMURA}. \begin{theorem} \cite{KATOSAITOTAMURA, DRAGOMIR} \label{HLKSTT} (\textbf{Hudzik-Landes-Dragomir-Kato-Saito-Tamura Inequality}) Let $\mathcal{X}$ be a NLS and $n \in \mathbb{N}$. Then for all $x_1, \dots, x_n \in \mathcal{X}\setminus\{0\}$, we have \begin{align*} \left\|\sum_{j=1}^{n}x_j\right\|\leq \sum_{j=1}^{n}\|x_j\|-\left(n-\left\|\sum_{j=1}^{n}\frac{x_j}{\|x_j\|}\right\|\right)\min_{1\leq k \leq n} \|x_k\|. \end{align*} \end{theorem} It is natural and important to ask what are non-Archimedean versions of Theorems \ref{HKT} and \ref{HLKSTT}? We answer the question by deriving non-Archimedean version of Hudzik-Landes-Dragomir-Kato-Saito-Tamura Inequality (Theorem \ref{NAHLDKSTT}). \section{Non-Archimedean Hudzik-Landes-Dragomir-Kato-Saito-Tamura Inequality} Let $\mathbb{K}$ be a field. Recall that a map $|\cdot|: \mathbb{K} \to [0, \infty)$ is said to be a non-Archimedean valuation if following conditions holds. \begin{enumerate}[\upshape(i)] \item If $\lambda \in \mathbb{K}$ is such that $|\lambda|=0$, then $\lambda=0$. \item $|\lambda \mu|=|\lambda||\mu|$ for all $\lambda, \mu \in \mathbb{K}$. \item (Ultra-triangle inequality) $|\lambda+\mu|\leq \max\{|\lambda|, |\mu|\}$ for all $\lambda, \mu \in \mathbb{K}$. \end{enumerate} In this case, $\mathbb{K}$ is called as non-Archimedean valued field \cite{SCHIKHOF}. Let $\mathcal{X}$ be a vector space over a non-Archimedean valued field $\mathbb{K}$ with valuation $|\cdot|$. Recall that a map $\|\cdot\|: \mathcal{X} \to [0, \infty)$ is said to be a non-Archimedean norm if following conditions holds. \begin{enumerate}[\upshape(i)] \item If $x \in \mathcal{X}$ is such that $\|x\|=0$, then $x=0$. \item $\|\lambda x\|=|\lambda|\|x\|$ for all $\lambda \in \mathbb{K}$, for all $x \in \mathcal{X}$. \item (Ultra-norm inequality) $\|x+y\|\leq \max\{\|x\|, \|y\|\}$ for all $x,y \in \mathcal{X}$. \end{enumerate} In this case, $\mathcal{X}$ is called as non-Archimedean linear space (NALS) \cite{GARCIASCHIKHOF}. We first derive non-Archimedean version of Inequality (\ref{HL}). \begin{theorem} (\textbf{Non-Archimedean Hudzik-Landes Inequality}) Let $\mathcal{X}$ be a NALS over $\mathbb{K}$. Then for all $x, y \in \mathcal{X}\setminus\{0\}$ with $\|x\|, \|y\| \in \mathbb{K}$ it holds \begin{align*} \|x+y\|&\leq \min \left\{\big|\|x\|\big|\max\left\{\left\|\frac{x}{\|x\|}+\frac{y}{\|y\|}\right\|, \left|\frac{1}{\|x\|}-\frac{1}{\|y\|}\right|\|y\|\right\}, \big|\|y\|\big|\max\left\{\left\|\frac{x}{\|x\|}+\frac{y}{\|y\|}\right\|, \left|\frac{1}{\|x\|}-\frac{1}{\|y\|}\right|\|x\|\right\}\right\}. \end{align*} \end{theorem} \begin{proof} Let $x, y \in \mathcal{X}\setminus\{0\}$ with $\|x\|, \|y\| \in \mathbb{K}$. Then \begin{align*} \|x+y\|&=\left\|\|x\|\left(\frac{x}{\|x\|}+\frac{y}{\|y\|}\right)+\left(1-\frac{\|x\|}{\|y\|}\right)y\right\|\\ &\leq \max\left\{\left\|\|x\|\left(\frac{x}{\|x\|}+\frac{y}{\|y\|}\right)\right\|, \left\|\left(1-\frac{\|x\|}{\|y\|}\right)y\right\|\right\}\\ &= \max\left\{\big|\|x\|\big|\left\|\frac{x}{\|x\|}+\frac{y}{\|y\|}\right\|, \big|\|x\|\big|\left|\frac{1}{\|x\|}-\frac{1}{\|y\|}\right|\|y\|\right\} \end{align*} and \begin{align*} \|x+y\|&=\left\|\left(1-\frac{\|y\|}{\|x\|}\right)x+\|y\|\left(\frac{x}{\|x\|}+\frac{y}{\|y\|}\right)\right\|\\ &\leq \max\left\{\left\|\left(1-\frac{\|y\|}{\|x\|}\right)x\right\|, \left\|\|y\|\left(\frac{x}{\|x\|}+\frac{y}{\|y\|}\right)\right\|\right\}\\ &\leq \max\left\{\big|\|y\|\big|\left|\frac{1}{\|y\|}-\frac{1}{\|x\|}\right|\|x\|, \big|\|y\|\big|\left\|\frac{x}{\|x\|}+\frac{y}{\|y\|}\right\| \right\}. \end{align*} Therefore \begin{align}\label{P1} \|x+y\|\leq \big|\|x\|\big|\max\left\{\left\|\frac{x}{\|x\|}+\frac{y}{\|y\|}\right\|, \left|\frac{1}{\|x\|}-\frac{1}{\|y\|}\right|\|y\|\right\} \end{align} and \begin{align}\label{P2} \|x+y\|\leq \big|\|y\|\big|\max\left\{\left\|\frac{x}{\|x\|}+\frac{y}{\|y\|}\right\|, \left|\frac{1}{\|x\|}-\frac{1}{\|y\|}\right|\|x\|\right\} . \end{align} Inequalities (\ref{P1})and (\ref{P2}) give \begin{align*} \|x+y\|\leq \min \left\{\big|\|x\|\big|\max\left\{\left\|\frac{x}{\|x\|}+\frac{y}{\|y\|}\right\|, \left|\frac{1}{\|x\|}-\frac{1}{\|y\|}\right|\|y\|\right\}, \big|\|y\|\big|\max\left\{\left\|\frac{x}{\|x\|}+\frac{y}{\|y\|}\right\|, \left|\frac{1}{\|x\|}-\frac{1}{\|y\|}\right|\|x\|\right\}\right\}. \end{align*} \end{proof} Note the additional assumption $\|x\|, \|y\| \in \mathbb{K}$ in the previous theorem. The reason is that, since the norm is a real number, we generally do not have a guarantee that it belongs to the given non-Archimedean field. Now we derive non-Archimedean version of Theorem \ref{HLKSTT}. \begin{theorem} \label{NAHLDKSTT} (\textbf{Non-Archimedean Hudzik-Landes-Dragomir-Kato-Saito-Tamura Inequality}) Let $\mathcal{X}$ be a NALS over $\mathbb{K}$ and $n \in \mathbb{N}$. Then for all $x_1, \dots, x_n \in \mathcal{X}\setminus\{0\}$ with $\|x_1\|, \dots, \|x_n\| \in \mathbb{K}$ it holds \begin{align*} \left\|\sum_{j=1}^{n}x_j\right\|\leq\min_{1\leq k \leq n}\left\{\big|\|x_k\|\big|\max\left\{\left\|\sum_{j=1}^{n}\frac{x_j}{\|x_j\|}\right\|, \max_{1\leq j \leq n}\left|\frac{1}{\|x_j\|}-\frac{1}{\|x_k\|}\right|\|x_j\|\right\}\right\}. \end{align*} \end{theorem} \begin{proof} Let $x_1, \dots, x_n \in \mathcal{X}\setminus\{0\}$ with $\|x_1\|, \dots, \|x_n\| \in \mathbb{K}$. Let $1\leq k \leq n$ be fixed. Then \begin{align*} \left\|\sum_{j=1}^{n}x_j\right\|&=\left\|\sum_{j=1}^{n}\frac{\|x_k\|x_j}{\|x_j\|}+\sum_{j=1}^{n}\left(1-\frac{\|x_k\|}{\|x_j\|}\right)x_j\right\|\\ &\leq \max\left\{\left\|\sum_{j=1}^{n}\frac{\|x_k\|x_j}{\|x_j\|}\right\|, \left\|\sum_{j=1}^{n}\left(1-\frac{\|x_k\|}{\|x_j\|}\right)x_j\right\|\right\}\\ &=\max\left\{\big|\|x_k\|\big|\left\|\sum_{j=1}^{n}\frac{x_j}{\|x_j\|}\right\|, \big|\|x_k\|\big| \left\|\sum_{j=1}^{n}\left(\frac{1}{\|x_k\|}-\frac{1}{\|x_j\|}\right)x_j\right\|\right\}\\ &=\big|\|x_k\|\big|\max\left\{\left\|\sum_{j=1}^{n}\frac{x_j}{\|x_j\|}\right\|, \left\|\sum_{j=1}^{n}\left(\frac{1}{\|x_k\|}-\frac{1}{\|x_j\|}\right)x_j\right\|\right\}\\ &\leq \big|\|x_k\|\big|\max\left\{\left\|\sum_{j=1}^{n}\frac{x_j}{\|x_j\|}\right\|, \max_{1\leq j \leq n}\left\|\left(\frac{1}{\|x_k\|}-\frac{1}{\|x_j\|}\right)x_j\right\|\right\}\\ &=\big|\|x_k\|\big|\max\left\{\left\|\sum_{j=1}^{n}\frac{x_j}{\|x_j\|}\right\|, \max_{1\leq j \leq n}\left|\frac{1}{\|x_k\|}-\frac{1}{\|x_j\|}\right|\|x_j\|\right\}. \end{align*} By varying $k$ and taking minimum in the right side of previous inequality gives \begin{align*} \left\|\sum_{j=1}^{n}x_j\right\|\leq\min_{1\leq k \leq n}\left\{\big|\|x_k\|\big|\max\left\{\left\|\sum_{j=1}^{n}\frac{x_j}{\|x_j\|}\right\|, \max_{1\leq j \leq n}\left|\frac{1}{\|x_j\|}-\frac{1}{\|x_k\|}\right|\|x_j\|\right\}\right\}. \end{align*} \end{proof} Now we derive continuous version of Theorem \ref{NAHLDKSTT}. \begin{theorem} Let $\mathcal{X}$ be a NALS over $\mathbb{K}$ and $(\Omega, \mu)$ be a non-Archimedean measure space. Let $\phi: \Omega\to \mathcal{X}\setminus\{0\}$ be a measurable function such that $\|\phi(\alpha)\|\in \mathbb{K}$ for every $\alpha \in \Omega$. Then \begin{align*} \left\|\int_{\Omega}\phi(\alpha)\,d\mu(\alpha)\right\|&\leq\inf_{\beta \in \Omega}\left\{\big|\|\phi(\beta)\|\big|\max\left\{\left\|\int_{\Omega}\frac{\phi(\alpha)}{\|\phi(\alpha)\|}\,d\mu(\alpha)\right\|, \sup_{\alpha \in \Omega}\left|\frac{1}{\|\phi(\alpha)\|}-\frac{1}{\|\phi(\beta)\|}\right|\|\phi(\alpha)\|\right\}\right\}. \end{align*} \end{theorem} \begin{proof} Let $\phi: \Omega\to \mathcal{X}\setminus\{0\}$ be a measurable function such that $\|\phi(\alpha)\|\in \mathbb{K}$ for every $\alpha \in \Omega$. Let $\beta \in \Omega$ be fixed. Then \begin{align*} \left\|\int_{\Omega}\phi(\alpha)\,d\mu(\alpha)\right\|&=\left\|\int_{\Omega}\frac{\|\phi(\beta)\|\phi(\alpha)}{\|\phi(\alpha)\|}\,d\mu(\alpha)+\int_{\Omega}\left(1-\frac{\|\phi(\beta)\|}{\|\phi(\alpha)\|}\right)\phi(\alpha)\,d\mu(\alpha)\right\|\\ &\leq \max\left\{\left\|\int_{\Omega}\frac{\|\phi(\beta)\|\phi(\alpha)}{\|\phi(\alpha)\|}\,d\mu(\alpha)\right\|, \left\|\int_{\Omega}\left(1-\frac{\|\phi(\beta)\|}{\|\phi(\alpha)\|}\right)\phi(\alpha)\,d\mu(\alpha)\right\|\right\}\\ &=\max\left\{\big|\|\phi(\beta)\|\big|\left\|\int_{\Omega}\frac{\phi(\alpha)}{\|\phi(\alpha)\|}\,d\mu(\alpha)\right\|, \big|\|\phi(\beta)\|\big| \left\|\int_{\Omega}\left(\frac{1}{\|\phi(\beta)\|}-\frac{1}{\|\phi(\alpha)\|}\right)\phi(\alpha)\,d\mu(\alpha)\right\|\right\}\\ &=\big|\|\phi(\beta)\|\big|\max\left\{\left\|\int_{\Omega}\frac{\phi(\alpha)}{\|\phi(\alpha)\|}\,d\mu(\alpha)\right\|, \left\|\int_{\Omega}\left(\frac{1}{\|\phi(\beta)\|}-\frac{1}{\|\phi(\alpha)\|}\right)\phi(\alpha)\,d\mu(\alpha)\right\|\right\}\\ &\leq \big|\|\phi(\beta)\|\big|\max\left\{\left\|\int_{\Omega}\frac{\phi(\alpha)}{\|\phi(\alpha)\|}\,d\mu(\alpha)\right\|, \sup_{\alpha \in \Omega}\left\|\left(\frac{1}{\|\phi(\beta)\|}-\frac{1}{\|\phi(\alpha)\|}\right)\phi(\alpha)\right\|\right\}\\ &= \big|\|\phi(\beta)\|\big|\max\left\{\left\|\int_{\Omega}\frac{\phi(\alpha)}{\|\phi(\alpha)\|}\,d\mu(\alpha)\right\|, \sup_{\alpha \in \Omega}\left|\frac{1}{\|\phi(\beta)\|}-\frac{1}{\|\phi(\alpha)\|}\right|\|\phi(\alpha)\|\right\}. \end{align*} By varying $\beta$ and taking infimum in the previous inequality gives \begin{align*} \left\|\int_{\Omega}\phi(\alpha)\,d\mu(\alpha)\right\|\leq\inf_{\beta \in \Omega}\left\{\big|\|\phi(\beta)\|\big|\max\left\{\left\|\int_{\Omega}\frac{\phi(\alpha)}{\|\phi(\alpha)\|}\,d\mu(\alpha)\right\|, \sup_{\alpha \in \Omega}\left|\frac{1}{\|\phi(\alpha)\|}-\frac{1}{\|\phi(\beta)\|}\right|\|\phi(\alpha)\|\right\}\right\}. \end{align*} \end{proof} \section{Conclusions} \begin{enumerate} \item In 1992, Hudzik and Landes improved centuries old triangle inequality in normed linear spaces \cite{HUDZIKLANDES}. \item In 2006, Dragomir extended Hudzik-Landes inequality for more than two vectors \cite{DRAGOMIR}. \item In 2007, Kato, Saito and Tamura extended Hudzik-Landes inequality without knowing the work of Dragomir \cite{KATOSAITOTAMURA}. \item In this article, we extended centuries old ultra-norm inequality. \end{enumerate} \bibliographystyle{plain} \begin{thebibliography}{1} \bibitem{DRAGOMIR} Sever~S. 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Schikhof. \newblock {\em Ultrametric calculus. {An} introduction to $p$-adic analysis}, volume~4 of {\em Camb. Stud. Adv. Math.} \newblock Cambridge: Cambridge University Press, 2006. \end{thebibliography} \end{document}