Extending the Formula to Calculate the Spectral Radius of an Operator

Extending the Formula to Calculate the Spectral Radius of an Operator

PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 126, Number 1, January 1998, Pages 97{103 S 0002-9939(98)04430-X EXTENDING THE FORMULA TO CALCULATE THE SPECTRAL RADIUS OF AN OPERATOR FERNANDO GARIBAY BONALES AND RIGOBERTO VERA MENDOZA (Communicated by Dale Alspach) Abstract. In a Banach space, Gelfand's formula is used to find the spectral radius of a continuous linear operator. In this paper, we show another way to find the spectral radius of a bounded linear operator in a complete topological linear space. We also show that Gelfand's formula holds in a more general setting if we generalize the definition of the norm for a bounded linear operator. 1. Introduction and basic definitions In all that follows E stands for a linear vector space over the field C of complex numbers. E[t] will denote a complete locally convex topological vector space, with a Hausdorff topology t,and T:E E will be a linear map. Finally, ϑ(t) will be the filter of all balanced, convex and→ closed t-neighborhoods of zero (in E). Definition 1. The linear operator T : E[t] E[t] is said to be a bounded operator, if there is a neighborhood U ϑ(t) such→ that T (U) is a bounded set. ∈ If in the definition above T (U) is a relatively compact set, then T is said to be a compact operator. Any compact operator is a bounded operator, and any bounded operator is continuous (with the t-topology) (see [5]). We recall that, given any topological linear space E[ω]andS:E[ω] E[ω]a linear operator, the resolvent of S is the set → ρ (S)= ξ C ξI S : E[ω] E[ω] ! ∈ − → n is bijective and has a continuous inverse . o The spectrum of S is defined by σ!(S)=C ρ!(S) (the set-theoretic complement in C of the resolvent set), and the spectral radius\ by sr (S)=sup λ λ σ (S) . ! | | ∈ ! n o Definition 2. Anet xα J E is said to be t-ultimately bounded (t-ub) if, { } ⊂ given any V ϑ(t) , there is a positive real number r andanindex α0 J, both depending on∈V , such that x rV α α . ∈ α ∈ ∀ ≥ 0 Received by the editors February 27, 1996. 1991 Mathematics Subject Classification. Primary 47A10; Secondary 46A03. Key words and phrases. Spectral radius, bounded linear operator, locally convex topological space, t-ultimately bounded net. Research supported by the Coordinaci´on de Investigaci´on Cient´ıfica de la UMSNH. c 1998 American Mathematical Society 97 License or copyright restrictions may apply to redistribution; see https://www.ams.org/journal-terms-of-use 98 F. GARIBAY BONALES AND R. VERA MENDOZA Let us denote by Γ the set of all t-ub nets in E. Remark 1. Any bounded, convergent or Cauchy net is a t-ub net. For more details about t-ub nets we refer the reader to [1]. Γ Definition 3. Let ξ C . We will say that 1 T n t 0(Tn=T T ... T , n ∈ ξn −→ ◦ ◦ ◦ times) if, given both V ϑ(t)and xα J Γ , there exist α0 J and n0 N such that 1 T n(x ) V∈ α α {and} ∈n n . ∈ ∈ ξn α ∈ ∀ ≥ 0 ∀ ≥ 0 Γ Definition 4. γ (T ) = inf ξ 1 T n t 0 . t | | ξn −→ n o Remark 2. It is shown by Vera [4] that for a bounded operator T, we have: Γ (i) γ (T ) < , and for any ξ C such that γ (T ) < ξ , 1 T n t 0 . t ∞ ∈ t | | ξn −→ (ii) sr (T ) γ (T ), where sr (T) is the spectral radius of T . t ≤ t t (iii) When E[t] is a Banach space, γt(T )=rt(T). In [2] it was proved, based in the above result, that γt(T )=srt(T )whenTis a compact operator. In this paper we extend that result to any bounded operator. 2. Main results From now on let T : E[t] E[t] be a bounded operator and let U ϑ(t)be such that T (U) is a bounded→ set. ∈ Let PU be the functional of Minkowski (see [3]) generated by U, which is a seminorm on E.LetE[PU] denote the vector space E with the topology given by the seminorm PU . Remark 3. The topology on E given by the seminorm PU is coarser than the topology t (P t ). U ≤ Proposition 1. T : E[PU ] E[PU ] is a bounded operator (hence a continuous one). → Proof. Since T (U) is a bounded set and P t, T(U)isalsoa P -bounded set U ≤ U in E[PU ]. ΓP Definition 5. γ (T ) = inf ξ 1 T n U 0 . PU | | ξn −→ n o Here ΓPU convergence means that, given any net xα J E such that for { } ⊂ all α , PU (xα) r for some positive real number r ( PU -bounded net), then P ( 1 T nx ) ≤0asanetinRwhose index set is N J . U ξn α → × Proposition 2. γPU (T )=γt(T). Proof. Let ξ C be such that γPU (T) < ξ , and let V ϑ(t)and xαJ Γ ∈ 1 | | ∈ { } ∈ be given. Since ξ T (U) is a bounded set, there is a positive real number r1 such 1 that T (U) V . In [1] is shown that xα J Γ r1xα J Γ. This implies r1ξ ⊂ { } ∈ ⇒{ } ∈ that there exist both α J and r > 0 such that r x r U α α , 0 ∈ 2 1 α ∈ 2 ∀ ≥ 0 i.e., PU (r1xα) r2 , that is, the net xα α α is a PU -bounded net; therefore, ≤ { } ≥ 0 α J (α α )andn Nsuch that P ( 1 T n(x )) < 1 α α ,n ∃ 1 ∈ 1 ≥ 0 1∈ U ξn α ∀ ≥ 1 ≥ n , that is, 1 T n(x ) U for those indices. Hence 1 ξn α ∈ 1 1 1 1 n+1 = ( n ) ( ) n+1 T xα T n T r1xα T U V α α1 ,n n1, ξ r1ξ ξ ∈ r1ξ ⊂ ∀ ≥ ≥ License or copyright restrictions may apply to redistribution; see https://www.ams.org/journal-terms-of-use SPECTRAL RADIUS OF AN OPERATOR 99 Γ that is, 1 T n t 0 , and therefore, γ (T ) ξ. Thisimpliesthatγ (T) ξn −→ t ≤|| PU ≤ γt(T). On the other hand, let γt(T ) < ξ and xα J , a PU -bounded net; that is, x rU for all α and some r>| | 0. Then{ } 1Tx rT(U), where α ∈ {ξ α}J ⊂ ξ Γ rT(U)isat-bounded set; therefore, 1 Tx Γ . Since 1 T n t 0,given ξ { ξ α}J ∈ ξn −→ >0, α Jand n N such that 1 T n+1x = 1 T n( 1 Tx ) U ∃ 0 ∈ 0 ∈ ξn+1 α ξn ξ α ∈ α α ,n n;thatis,P ( 1 T n+1x ) for those indices. This says ∀ ≥ 0 ≥ 0 U ξn+1 α ≤ that 1 T nx is P -convergent to 0; therefore, γ (T ) ξ . This implies that ξn α U PU ≤| | γ (T ) γ (T ) . t ≤ PU Definition 6. L(E)= S : E[t] E[t] Sis a linear and continuous operator , → n o L (E)= S L (E) S(U) is a bounded set , U ∈ n o L (E) is a vector subspace of the complex vector space L(E). U Remark 4. For the bounded operator T that we have been working on we have n n T, T ,λT,λT LU(E) for all n N and all λ C . Moreover, for any∈ S L(E), S ∈T,T S L (E∈). ∈ ◦ ◦ ∈ U Definition 7. For any operator S LU (E) , we define, taking into account that S(U) is a bounded set, the following∈ real number: S =sup P (Sx) x U . || ||U { U | ∈ } It easy to check that Sn S n S L (E)and n N. || ||U ≤|| ||U ∀ ∈ U ∀ ∈ Γ Theorem 1. If S t S in L(E), then S T S T 0 . n −→ || n ◦ − ◦ ||U → Proof. Let us prove it by way of contradiction. Let >0 be such that there exist natural numbers n1 <n2 <n3 < ... such that < S T S T ; hence, for each of those n there is x U such that || nk ◦ − ◦ ||U k nk ∈ PU [(Snk T S T )xnk )] >.Since Txnk T(U) , it is a bounded sequence; hence, for◦ V−= U◦ ϑ(t) there is an index{ m}⊂ N such that (S S)(Tx ) ∈ 0 ∈ n − nk ∈ V for all n, nk m0 ; this implies that PU [(Snk T S T )xnk )] ,which yields a contradiction.≥ ◦ − ◦ ≤ Proposition 3. ρ (T ) ρ (T ) . t ⊂ PU Proof. Let us suppose first that γt(T ) < 1. Let ξ ρt(T) be such that ξ > 1 k ∈ | | 1 γ (T ). Then S = ∞ k+1 T is a continuous operator and S =(ξI T)− . t k=0 ξ − n 1 k Γt Set Sn = k+1PT .ThenSn S , and from Theorem 1 it follows that k=0 ξ −→ S 1 T S 1 T 0. On the other hand, S 1 T = S 1 I and S || n ◦ ξ −P ◦ ξ ||U → n ◦ ξ n+1 − ξ ◦ 1 T = S 1 I ; hence S S 0 . Thereby, given x E such that ξ − ξ || n+1 − ||U → { m}N ⊂ P (x ) 0,then P (Sx ) P [(S S )x ]+P (S x ) 0.Thisproves U m → U m ≤ U − n m U n m → that S : E[PU ] E[PU ] is a continuous operator; hence ξ ρPU (T ). Now let ξ →ρ (T ) be such that ξ γ(T).

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