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Convergence of Vectorial Continued Fractions Related to the Spectral Seminorm
Journal of Inequalities and Applications volume 2008, Article number: 768105 (2008)
Abstract
We show that the spectral seminorm is useful to study convergence or divergence of vectorial continued fractions in Banach algebras because such convergence or divergence is related to a spectral property.
1. Introduction
Let be a unital complex Banach algebra. We denote by the unit element of . is the norm of . For , and denote, respectively, the spectrum and the spectral seminorm of .
A formal vectorial continued fraction is an expression of the form
where and are two sequences of elements in .
In order to discuss convergence or divergence of the vectorial continued fraction (1.1), we associate a sequence (called sequence of th approximants) defined by:
By induction, it can be shown that
where the expressions and are determined from recurrence relations
with initial conditions:
and are respectively called th numerator and th denominator of (1.1).
Now, consider the following example.
Let be a nonnull quasinilpotent element in . Consider the vectorial continued fraction defined by
where for each positive integer , we have
So,
Therefore, the series diverges.
By Fair [1, Theorem 2.2], we cannot ensure convergence or divergence of the vectorial continued fraction (1.6). But, if we apply the spectral seminorm to (1.7), we get
So, the series converges. From Theorem 2.5 in Section 2 below, the vectorial continued fraction (1.6) diverges according to the spectral seminorm so it diverges also according to the norm because the spectral seminorm satisfies
In Section 3, we give another example of a vectorial continued fraction that converges according to the spectral seminorm and diverges according to the norm algebra.
From the simple and particular example above and the example in Section 3, we see that to study convergence or divergence of vectorial continued fractions we can use the spectral seminorm of the algebra to include a large class of vectorial continued fractions.
First, we start by determining necessary conditions upon and to ensure the convergence.
Next, we give sufficient conditions to have the convergence.
2. Convergence of Vectorial Continued Fractions
In this section, we discuss some conditions upon the elements and of the vectorial continued fraction (1.1) (with ) which are necessary to ensure the convergence.
Definition 2.1.
The vectorial continued fraction (1.1) converges if exists starting from a certain rank , and the sequence of th approximants converges. Otherwise, the vectorial continued fraction (1.1) diverges.
For future use, we record the following theorem due to P. Wynn.
Theorem 2.2 ([2]).
For all , we have
Remark 2.3.
In the commutative case, Theorem 2.2 above becomes as follows.
For all , one has
Since convergence or divergence of the vectorial continued fraction (1.1) is not affected by the value of the additive term , we omit it from subsequent discussion (i.e., ).
Now, we give a proposition that extends a result due to Wall [3] in the case of scalar continued fractions.
Proposition 2.4.
The vectorial continued fraction (1.1) where its terms are commuting elements in diverges, if its odd partial denominators are all quasinilpotent elements in .
Proof.
In fact, from relation (1.5) above, we have . So
Since coefficients of (1.1) are commuting elements in , it is easy to show that for all positive integers and , we have
So,
Now, suppose that for , .
From relations (1.4) and (2.4), we have
Then, consequently
So infinitely many denominators are not invertible.
The vectorial continued fraction (1.1) diverges.
Theorem 2.5 below gives a necessary condition for convergence according to the spectral seminorm. This result is an extension of von Koch Theorem [4], concerning the scalar case. A similar theorem was given by Fair [1] for vectorial continued fractions according to the norm convergence.
Theorem 2.5.
Let , for all , and be a sequence of commuting elements in . If the vectorial continued fraction (1.1) converges according to spectral seminorm, then, the series diverges.
Proof.
Suppose is a converging series, and there exists a positive integer such that exists, for all .
By an induction argument, it is easy to show that for all , we have
where and for all .
Since for all positive integer , , and all are commuting elements in , from Remark 2.3 above, we have
So,
Then,
From this preceding,
where
So, the sequence is not a -Cauchy sequence in
Remark 2.6.
In a Banach algebra if denotes the spectral seminorm in it is not a multiplicative seminorm in general.
Consider the vectorial subspace of defined by The quotient vectorial space becomes a normed vectorial space with norm defined by " denotes the class of modulo ."
Generally, the normed vectorial space is not complete. Its complete normed vectorial space is witch is a Banach space. So, -Cauchy sequences in converge in the Banach space .
Remark 2.7.
Whenever is commutative, the vectorial continued fraction (1.1) diverges, if for one character , the series converges.
Lemma 2.8.
Let be a sequence of commuting elements in .
If the series converges, then, there exists a positive integer such that for every positive integer , the finite product is invertible and -bounded and its inverse is also -bounded.
Proof.
Since the series converges, therefore, there exists a positive integer such that
Hence, for the product is invertible as finite product of invertible elements.
We have
But
Hence,
Theorem 2.9.
Let in the vectorial continued fraction (1.1) for all and be a sequence of commuting elements in . If both series
converge, then, the vectorial continued fraction (1.1) diverges.
Proof of Theorem 2.9.
Since both series and converge, it follows that the series converges too.
Therefore, from Lemma 2.8 above, there exists a positive integer such that for , the quantity is invertible.
Now, consider the vectorial continued fraction
where
We will suppose that exists for all (otherwise, from Definition 2.1, the vectorial continued fraction (1.1) diverges).
Before continuing the proof, we give the following lemma that will be used later.
Lemma 2.10.
For all positive integers , consider the quantities
Then,
This lemma is proved by the same argument given by Wall [3, Lemma 6.1] for scalar continued fractions.
Lemma 2.10 shows that and are respectively the th numerator and th denominator of the vectorial continued fraction (2.17).
Since both series converge and from Lemma 2.8 above and are bounded, we conclude that the series converges.
Then, it follows as in the proof of Theorem 2.5, that the vectorial continued fraction (2.17) diverges and
So,
This shows that the sequence of th approximants is not a -Cauchy sequence in .
Now, we state Theorem 2.13 to give a sufficient condition to have convergence of the vectorial continued fraction (1.1).
A similar theorem was given by Peng and Hessel [5], to study convergence of the vectorial continued fraction (1.1) in norm where for each positive integer , .
Before stating the proof of Theorem 2.13, we give the following lemmas.
Lemma 2.11.
Let and be two commuting elements in such that the spectrum of is satisfied, . Then, the element is invertible and its inverse satisfies
Proof.
Since , we have . So the element is invertible in . Its inverse is
So
Lemma 2.12.
Let , and be two sequences of elements in such that for each positive integer , the spectra of and lie in the open ball . Then, for each positive integer , exists and
Where is the th denominator of the vectorial continued fraction (1.1).
Proof.
From recurrence relation (1.5) above, we have
then, and
Now, suppose that for , exists and
Then, from recurrence relation (1.4) above, we have
Put
Appling Lemma 2.11, we have
So is invertible and its inverse satisfies
Therefore, exists. So, for all , is invertible and
Theorem 2.13.
Let , and be commuting terms of the vectorial continued fraction (1.1) such that for each positive integer , the spectra of and lie in the open ball . Then, the vectorial continued fraction (1.1) converges.
Proof of Theorem 2.13.
For positive integers and , we introduce the finite vectorial continued fraction
with initial conditions
where is the th approximant of the continued fraction (1.1).
It is easily shown from (2.30) that
By the repeated use of Lemma 2.11 in each iteration in (2.30) for every and every , we can show that for each and , exists and
We have
Thus, from relations (2.32) and (2.34), we have
where , for .
Then,
Since from (2.33) , then, using Lemma 2.11,
we have and .
Then,
Gradually, we get
Besides, we have and
Thus,
Now, consider , we have
In these inequalities is arbitrary, thus we can choose
Then,
Hence, the sequence of th approximants of the vectorial continued fraction (1.1) is a -Cauchy sequence in .
Consequently, converges and from Lemma 2.12, exists thus the vectorial continued fraction (1.1) converges.
Theorem 2.14.
Let be a sequence of commuting elements in such that for each positive integer , where Then, the vectorial continued fraction
converges.
Proof.
By relations (1.4) and (1.5), we have , thus,
And , thus,
By induction, we show that for all
such that
Hence,
So exists for all
Since all are commuting elements, then by Remark 2.3 above
where
We have
Hence,
Therefore, for positive integers and such that , we have
So
It follows that is a -Cauchy sequence in .
3. Example
Here, we give an example of a vectorial continued fraction that converges according to the spectral seminorm and does not converge according to the norm.
Let be a unital complex Banach algebra and a nonnull quasinilpotent element in . Consider the sequence in defined for each positive integer , by
For each positive integer , is then invertible.
Let and be two sequences in defined for each positive integer , by
Consider the vectorial continued fraction (1.1) formed with the sequences and Using recurrence relations (1.4) and (1.5), we can easily show that for each positive integer , (thus is invertible, for all ).
The th approximant and the th approximant of the vectorial continued fraction (1.1) are, respectively, equal to
Obviously, the sequence is not a Cauchy sequence according to the norm, so the vectorial continued fraction (1.1) does not converge in norm.
Now, we use the spectral seminorm, we have
The sequence of the th approximants converges according to the spectral seminorm.
Consequently, the vectorial continued fraction (1.1) converges according to the spectral seminorm to the value
References
Fair W: Noncommutative continued fractions. SIAM Journal on Mathematical Analysis 1971,2(2):226–232. 10.1137/0502020
Wynn P: Continued fractions whose coefficients obey a noncommutative law of multiplication. Archive for Rational Mechanics and Analysis 1963,12(1):273–312. 10.1007/BF00281229
Wall HS: Analytic Theory of Continued Fractions. D. Van Nostrand, New York, NY, USA; 1948:xiii+433.
von Koch H: Sur un théorèrme de Stieltjes et sur les fonctions définies par des fractions continues. Bulletin de la Société Mathématique de France 1895, 23: 33–40.
Peng ST, Hessel A: Convergence of noncommutative continued fractions. SIAM Journal on Mathematical Analysis 1975,6(4):724–727. 10.1137/0506063
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Hemdaoui, M., Amzil, M. Convergence of Vectorial Continued Fractions Related to the Spectral Seminorm. J Inequal Appl 2008, 768105 (2008). https://doi.org/10.1155/2008/768105
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DOI: https://doi.org/10.1155/2008/768105