On the spectral radius of bounded linear operators

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SUMMARY

The discussion centers on the spectral radius of bounded linear operators, specifically in the context of Fredholm integral equations. Sarrah seeks to establish a necessary condition for convergence of the non-homogeneous equation ${\varPsi}(x)=f(x)+\lambda\int_{a}^{b} \,k(x,s) {\varPsi}(s) ds$ based on the spectral radius $\rho(K)$. The conclusion drawn is that convergence occurs if $|\lambda| < 1/\rho(K)$, while also noting that the condition $|\lambda| ||K|| < 1$ is only sufficient, not necessary. The participants clarify the relationship between the spectral radius and operator norms, emphasizing the distinction between necessary and sufficient conditions for convergence.

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  • Understanding of Fredholm integral equations
  • Knowledge of spectral radius and operator norms
  • Familiarity with Picard successive approximations
  • Basic concepts of linear algebra and eigenvalues
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  • Study the properties of the spectral radius in functional analysis
  • Learn about the convergence criteria for integral equations
  • Explore the relationship between operator norms and spectral radius
  • Investigate necessary and sufficient conditions in linear operator theory
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Mathematicians, researchers in functional analysis, and students studying integral equations will benefit from this discussion, particularly those interested in convergence criteria and spectral theory.

sarrah1
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Hi EVERYBODY:

General knowledge: The homogeneous linear Fredholm integral equation

$\mu\ \varPsi(x)=\int_{a}^{b} \,k(x,s) \varPsi(s) ds$ (1)

has a nontrivial solution if and only if $\mu$ is an eigenvalue of the integral operator $K$. By multiplying (1) by $k(x,s)$ and integrating while changing the order of integration one obtains

${\mu}^{2}\varPsi(x)=\int_{a}^{b} \,{[k(x,s)]}^{(2)}\varPsi(s) ds$

where ${[k(x,s)]}^{(2)}=\int_{a}^{b} \,{[k(x,t)]}^{(1)}{[k(t,s)]}^{(1)}dt$ , where ${[k(x,s)]}^{(1)}=k(x,s)$

after $n$ iterations ${\mu}^{n} \varPsi(x)=\int_{a}^{b} \,{[k(x,s)]}^{(n)} \varPsi(s) ds$ (2)

where ${[k(x,s)]}^{(n)}=\int_{a}^{b} \,{[k(x,t)]}^{(1)}{[k(t,s)]}^{(n-1)}dt$

Now my Question:

Solving the non-homogeneous equation

${\varPsi}(x)=f(x)+\lambda\int_{a}^{b} \,k(x,s) {\varPsi}(s) ds$ , (where $\lambda$ is a parameter)

by Picard successive approximations, results in the following equation after $n$ iterations

${\varPsi}_{n+1}(x)=f(x)+\lambda\int_{a}^{b} \,k(x,s) {\varPsi}_{n}(s) ds$

to prove convergence (I can use norms to reach the classical condition $|\lambda|<1/||K||$) however I want to reach a condition based on the spectral radius of the operator $K$ i.e. $\rho(K)$ . So one can show by imitating the above that after $n$ iterations

${\varPsi}_{n}(x)-{\varPsi}(x)={\lambda}^{n}\int_{a}^{b} \,{[k(x,s)]}^{(n)} [{\varPsi}_{0}(s)-{\varPsi}(s)] ds$ (3)

if $|\mu|<1$ then Eq. (2) gives $ \lim_{{n}\to{\infty}}\int_{a}^{b} \,{[k(x,s)]}^{(n)} \varPsi(s) ds=0$ , $\lor x$
can this help me equally in Eq. (3) by saying that convergence occurs if

$|\lambda| < 1/\rho(K)$

grateful
Sarrah
 
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sarrah said:
${\varPsi}_{n}(x)-{\varPsi}(x)={\lambda}^{n}\int_{a}^{b} \,{[k(x,s)]}^{(n)} [{\varPsi}_{0}(s)-{\varPsi}(s)] ds$ (3)

if $|\mu|<1$ then Eq. (2) gives $ \lim_{{n}\to{\infty}}\int_{a}^{b} \,{[k(x,s)]}^{(n)} \varPsi(s) ds=0$ , $\lor x$
can this help me equally in Eq. (3) by saying that convergence occurs if

$|\lambda| < 1/\rho(K)$

grateful
Sarrah
If I understand this correctly, you can write equation (3) as ${\varPsi}_{n}(x)-{\varPsi}(x)={\lambda}^{n}K^n({\varPsi}_{0}(s)-{\varPsi}(s))$. In that case, $$\|{\varPsi}_{n}(x)-{\varPsi}(x)\| \leqslant |{\lambda}|^{n}\|K^n\|\|{\varPsi}_{0}(s)-{\varPsi}(s)\|.\quad(4)$$ But $$\rho(K) = \lim_{n\to\infty}\|K^n\|^{1/n}.$$ If $\rho(K) < 1/|\lambda|$, choose $\nu$ with $\rho(K) < \nu < 1/|\lambda|.$ Then $\|K^n\|^{1/n} < \nu$ for all sufficiently large $n$, so that $\|K^n\| < \nu^n.$ You can then conclude from $(4)$ that convergence occurs in $(3)$, because $\nu|\lambda| < 1$ and so $(\nu|\lambda|)^n \to0$ as $n\to\infty.$
 
Opalg said:
If I understand this correctly, you can write equation (3) as ${\varPsi}_{n}(x)-{\varPsi}(x)={\lambda}^{n}K^n({\varPsi}_{0}(s)-{\varPsi}(s))$. In that case, $$\|{\varPsi}_{n}(x)-{\varPsi}(x)\| \leqslant |{\lambda}|^{n}\|K^n\|\|{\varPsi}_{0}(s)-{\varPsi}(s)\|.\quad(4)$$ But $$\rho(K) = \lim_{n\to\infty}\|K^n\|^{1/n}.$$ If $\rho(K) < 1/|\lambda|$, choose $\nu$ with $\rho(K) < \nu < 1/|\lambda|.$ Then $\|K^n\|^{1/n} < \nu$ for all sufficiently large $n$, so that $\|K^n\| < \nu^n.$ You can then conclude from $(4)$ that convergence occurs in $(3)$, because $\nu|\lambda| < 1$ and so $(\nu|\lambda|)^n \to0$ as $n\to\infty.$

I am most grateful Opalg.

Eq. (3) can -as you did - be written of course as
${\varPsi}_{n}(x)-{\varPsi}(x)={\lambda}^{n}K^n({\varPsi}_{0}(s)-{\varPsi}(s))$
from which Eq. (4) also follows correctly

The problem is - as it seems - from me. What I understood from your proof is that the condition you wrote as $\nu|\lambda| < 1$ is another way of writing a sufficient condition. Because from (4) if $|\lambda ||K||<1$ it follows directly that ${\varPsi}_{n}\implies\varPsi$ in the limit.

my intention was to obtain a necessary condition based on the spectral radius though like we do in matrix theory. if $K$ is a matrix then
${T}^{-1}{K}^{n}T= diag({{\lambda}_{1}}^{n},...,{{\lambda}_{m}}^{n})$ (5)
so $\lambda\rho(K)<1$ becomes both a necessary and sufficient condition whereas $|\lambda|||K||<1$ becomes only a sufficient condition because $\rho(K)\le||K||$. I hope you got me.

So I thought there can be a relation like (5) for integral operators, something similar instead of $$\rho(K) = \lim_{n\to\infty}\|K^n\|^{1/n}.$$ If or $\rho(K)\le||K||$

still very grateful
Sarrah
 
sarrah said:
I am most grateful Opalg.

Eq. (3) can -as you did - be written of course as
${\varPsi}_{n}(x)-{\varPsi}(x)={\lambda}^{n}K^n({\varPsi}_{0}(s)-{\varPsi}(s))$
from which Eq. (4) also follows correctly

The problem is - as it seems - from me. What I understood from your proof is that the condition you wrote as $\nu|\lambda| < 1$ is another way of writing a sufficient condition. Because from (4) if $|\lambda ||K||<1$ it follows directly that ${\varPsi}_{n}\implies\varPsi$ in the limit.

my intention was to obtain a necessary condition based on the spectral radius though like we do in matrix theory. if $K$ is a matrix then
${T}^{-1}{K}^{n}T= diag({{\lambda}_{1}}^{n},...,{{\lambda}_{m}}^{n})$ (5)
so $\lambda\rho(K)<1$ becomes both a necessary and sufficient condition whereas $|\lambda|||K||<1$ becomes only a sufficient condition because $\rho(K)\le||K||$. I hope you got me.

So I thought there can be a relation like (5) for integral operators, something similar instead of $$\rho(K) = \lim_{n\to\infty}\|K^n\|^{1/n}.$$ If or $\rho(K)\le||K||$

still very grateful
Sarrah

Hi Oplag
Upon reading your post again, and your easy and sound proof, it seems to me there is no such necessary condition, only a sufficient one. Perhaps I didn't express myself well. I meant convergence is guaranteed if $|\lambda|\rho(K)<1$ ok, which is tight but could it be that $|\lambda| ||K||>1$ and convergence still exists ? based on the former condition spectral radius as $\rho(K)\le||K||$
many thanks
Sarrah
 

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