Proof of spectral radius bound $min_i sum_j a_{ij} le rho(A) le max_i sum_j a_{ij}$












2














I was reading one of the theorem in Roger A. Horn's Matrix Analysis and yet failed to understand how to prove it.



Let $A=[a_{ij}] in M_n$ be nonnegative and $rho(A)$ is spectral radius of $A$. Then
$$min_{1 le i le n} sum_{j=1}^n a_{ij} le rho(A) le max_{1 le i le n} sum_{j=1}^n a_{ij}$$
and
$$min_{1 le j le n} sum_{i=1}^n a_{ij} le rho(A) le max_{1 le j le n} sum_{i=1}^n a_{ij}$$
Can anyone help me to give me brief explaination and detailed proof of this theorem?










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    2














    I was reading one of the theorem in Roger A. Horn's Matrix Analysis and yet failed to understand how to prove it.



    Let $A=[a_{ij}] in M_n$ be nonnegative and $rho(A)$ is spectral radius of $A$. Then
    $$min_{1 le i le n} sum_{j=1}^n a_{ij} le rho(A) le max_{1 le i le n} sum_{j=1}^n a_{ij}$$
    and
    $$min_{1 le j le n} sum_{i=1}^n a_{ij} le rho(A) le max_{1 le j le n} sum_{i=1}^n a_{ij}$$
    Can anyone help me to give me brief explaination and detailed proof of this theorem?










    share|cite|improve this question



























      2












      2








      2







      I was reading one of the theorem in Roger A. Horn's Matrix Analysis and yet failed to understand how to prove it.



      Let $A=[a_{ij}] in M_n$ be nonnegative and $rho(A)$ is spectral radius of $A$. Then
      $$min_{1 le i le n} sum_{j=1}^n a_{ij} le rho(A) le max_{1 le i le n} sum_{j=1}^n a_{ij}$$
      and
      $$min_{1 le j le n} sum_{i=1}^n a_{ij} le rho(A) le max_{1 le j le n} sum_{i=1}^n a_{ij}$$
      Can anyone help me to give me brief explaination and detailed proof of this theorem?










      share|cite|improve this question















      I was reading one of the theorem in Roger A. Horn's Matrix Analysis and yet failed to understand how to prove it.



      Let $A=[a_{ij}] in M_n$ be nonnegative and $rho(A)$ is spectral radius of $A$. Then
      $$min_{1 le i le n} sum_{j=1}^n a_{ij} le rho(A) le max_{1 le i le n} sum_{j=1}^n a_{ij}$$
      and
      $$min_{1 le j le n} sum_{i=1}^n a_{ij} le rho(A) le max_{1 le j le n} sum_{i=1}^n a_{ij}$$
      Can anyone help me to give me brief explaination and detailed proof of this theorem?







      matrices eigenvalues-eigenvectors spectral-radius






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      edited Dec 1 at 10:58









      glS

      716520




      716520










      asked Feb 26 at 8:51









      Putri Alifiar

      384




      384






















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          It suffices to show the result when $A$ is a positive matrix (the $(a_{i,j})$ are $>0$); indeed we conclude, using the continuity of $rho(A)$ wrt the $(a_{i,j})$.



          When $A$ is positive, $rho(A)in spectrum(A)$ and $A$ admits an eigenvector $v=(v_i)$ s.t. $v_i>0$ and $Av=rho(A)v$.



          That is, for every $i$, $(*)$ $sum_ja_{i,j}v_j=rho(A) v_i$.



          Let $v_k=sup_j v_j$. Then (take $i=k$ in $(*)$) $rho(A)leq sum_j a_{k,j}leq max_i sum_j a_{i,j}$ .



          Let $v_l=inf_j v_j$. Then (take $i=l$ in $(*)$) $rho(A)geq sum_j a_{l,j}geq min_i sum_j a_{i,j}$.



          For the last two inequalities, consider $A^T$. Note that $A^T$ is positive and has same spectral radius as $A$.






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            1 Answer
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            1














            It suffices to show the result when $A$ is a positive matrix (the $(a_{i,j})$ are $>0$); indeed we conclude, using the continuity of $rho(A)$ wrt the $(a_{i,j})$.



            When $A$ is positive, $rho(A)in spectrum(A)$ and $A$ admits an eigenvector $v=(v_i)$ s.t. $v_i>0$ and $Av=rho(A)v$.



            That is, for every $i$, $(*)$ $sum_ja_{i,j}v_j=rho(A) v_i$.



            Let $v_k=sup_j v_j$. Then (take $i=k$ in $(*)$) $rho(A)leq sum_j a_{k,j}leq max_i sum_j a_{i,j}$ .



            Let $v_l=inf_j v_j$. Then (take $i=l$ in $(*)$) $rho(A)geq sum_j a_{l,j}geq min_i sum_j a_{i,j}$.



            For the last two inequalities, consider $A^T$. Note that $A^T$ is positive and has same spectral radius as $A$.






            share|cite|improve this answer


























              1














              It suffices to show the result when $A$ is a positive matrix (the $(a_{i,j})$ are $>0$); indeed we conclude, using the continuity of $rho(A)$ wrt the $(a_{i,j})$.



              When $A$ is positive, $rho(A)in spectrum(A)$ and $A$ admits an eigenvector $v=(v_i)$ s.t. $v_i>0$ and $Av=rho(A)v$.



              That is, for every $i$, $(*)$ $sum_ja_{i,j}v_j=rho(A) v_i$.



              Let $v_k=sup_j v_j$. Then (take $i=k$ in $(*)$) $rho(A)leq sum_j a_{k,j}leq max_i sum_j a_{i,j}$ .



              Let $v_l=inf_j v_j$. Then (take $i=l$ in $(*)$) $rho(A)geq sum_j a_{l,j}geq min_i sum_j a_{i,j}$.



              For the last two inequalities, consider $A^T$. Note that $A^T$ is positive and has same spectral radius as $A$.






              share|cite|improve this answer
























                1












                1








                1






                It suffices to show the result when $A$ is a positive matrix (the $(a_{i,j})$ are $>0$); indeed we conclude, using the continuity of $rho(A)$ wrt the $(a_{i,j})$.



                When $A$ is positive, $rho(A)in spectrum(A)$ and $A$ admits an eigenvector $v=(v_i)$ s.t. $v_i>0$ and $Av=rho(A)v$.



                That is, for every $i$, $(*)$ $sum_ja_{i,j}v_j=rho(A) v_i$.



                Let $v_k=sup_j v_j$. Then (take $i=k$ in $(*)$) $rho(A)leq sum_j a_{k,j}leq max_i sum_j a_{i,j}$ .



                Let $v_l=inf_j v_j$. Then (take $i=l$ in $(*)$) $rho(A)geq sum_j a_{l,j}geq min_i sum_j a_{i,j}$.



                For the last two inequalities, consider $A^T$. Note that $A^T$ is positive and has same spectral radius as $A$.






                share|cite|improve this answer












                It suffices to show the result when $A$ is a positive matrix (the $(a_{i,j})$ are $>0$); indeed we conclude, using the continuity of $rho(A)$ wrt the $(a_{i,j})$.



                When $A$ is positive, $rho(A)in spectrum(A)$ and $A$ admits an eigenvector $v=(v_i)$ s.t. $v_i>0$ and $Av=rho(A)v$.



                That is, for every $i$, $(*)$ $sum_ja_{i,j}v_j=rho(A) v_i$.



                Let $v_k=sup_j v_j$. Then (take $i=k$ in $(*)$) $rho(A)leq sum_j a_{k,j}leq max_i sum_j a_{i,j}$ .



                Let $v_l=inf_j v_j$. Then (take $i=l$ in $(*)$) $rho(A)geq sum_j a_{l,j}geq min_i sum_j a_{i,j}$.



                For the last two inequalities, consider $A^T$. Note that $A^T$ is positive and has same spectral radius as $A$.







                share|cite|improve this answer












                share|cite|improve this answer



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                answered Dec 2 at 21:29









                loup blanc

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                22.5k21750






























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