Transcendental series of reciprocals of Fibonacci and Lucas numbers
Abstract.
Let be the Fibonacci sequence. Motivated by the identity , Erdös and Graham asked whether is irrational for any sequence of positive integers with . We resolve the transcendence counterpart of their question: as a special case of our main theorem, we have that is transcendental when . The bound is best possible thanks to the identity at the beginning. This paper provides a new way to apply the Subspace Theorem to obtain transcendence results and extends previous non-trivial results obtainable by only Mahler’s method for special sequences of the form .
Key words and phrases:
Algebraic numbers, transcendental numbers, Subspace Theorem2010 Mathematics Subject Classification:
Primary: 11J87. Secondary: 11B39.1. introduction
Let be the Fibonacci sequence and let , for be the Lucas sequence. In the chapter “Irrationality and Transcendence” of their book [EG80, p. 64–65], starting from the Millin series:
Erdös and Graham asked the following:
Question 1.1 (Erdös-Graham, 1980).
Is it true that is irrational for any sequence with ?
The transcendence counterparts of this and many questions in [EG80, Chapter 7] were implicit throughout the chapter, hence its title. Indeed, this topic inspired intense research activities most of which involved the so called Mahler’s method. As a consequence of our main result (see Theorem 1.3), we resolve the transcendence version of Question 1.1 even when one is allowed to randomly mix the Fibonacci and Lucas numbers:
Theorem 1.2.
Let and let be positive integers such that for every . Then the number is transcendental where for every .
Although Fibonacci and Lucas numbers have been discovered for hundreds of years, some of their basic properties have been established only recently thanks to powerful modern methods, for example [BMS06, Ste13]. The key ingredient of the proof of our main theorems is a new application of the Subspace Theorem in treating transcendence of series in which it is hard to control the denominators of the partial sums. Before providing more details about the method, let us provide a very brief and incomplete survey of known results on irrationality and transcendence of sums like . In a nutshell, we can divide previous results in two groups.
The first group treats series in which the denominators of the partial sums are very small compared to the reciprocals of the error terms. This includes work of Mignotte on the transcendence of and [Mig71, Mig77]. In fact, these results predate Erdös-Graham question. As another example, consider . For every sufficiently large integer , thanks to divisibility properties of the Fibonacci sequence and the fact that divides , the denominator of is at most which is , hence must be irrational. We refer the readers to [Bad93] and the references there for similar results. In fact, if satisfies then is irrational since as . Likewise, if then is transcendental by applying Roth’s theorem and the fact that for an appropriate . However, replacing those easy bounds and respectively by smaller numbers for irrationality and transcendence problems appears to be a very difficult task.
The second group constitutes the majority of results in this topic. In 1975, Mahler [Mah75] reproved Mignotte’s result using the method he had invented nearly 50 years earlier (see Nishioka’s notes [Nis96] for an introduction to Mahler’s method). This method is applicable when the sequence has the special form where with . We refer the readers to [BT94, DKT02, KKS09] and the references there for further details. In fact, before this paper, there has not been one result establishing the transcendence of for an arbitrary sequence with for any single value (as explained above, is the easy bound due to an immediate application of Roth’s theorem).
From now on, let be a real quadratic unit; this means is real quadratic and a unit in the ring of algebraic integers. Let be the non-trivial automorphism of and let . Without loss of generality, we assume . Let and respectively denote the absolute multiplicative and logarithmic Weil height on , our main result is the following:
Theorem 1.3.
Let for be sequences of real numbers with the following properties:
-
•
For every , , , and .
-
•
.
Let and let be positive integers such that , , and for every . Then the series is transcendental.
Example 1.4.
Example 1.5.
One can consider linear recurrence sequences of rational numbers of the form where . Then Theorem 1.3 implies that is transcendental since we may choose , , and . Note that and in this case.
There have been two general transcendence results using the Subspace Theorem recently and both involve values of a power series at an algebraic number . One is a result of Adamczewski-Bugeaud [AB07] extending an earlier work of Troi-Zannier [TZ99]. In their work, the coefficients of ’s form an automatic sequence and is the reciprocal of a Pisot number. The authors rely on the repeating pattern of automatic sequences to apply the Subspace Theorem using linear forms in three variables. The other is a result of Corvaja-Zannier [CZ02] treating the case that is lacunary with positive real coefficients and . The problem considered here is different from all the above. While it is true that one can express as the value of a power series at with , neither the coefficients are automatic nor the series is lacunary for an arbitrary choice of with .
The more subtle difference and key reason for the difficulty in settling our current problem are as follows. Let us consider the example and again. Let be the sequence of partial sums so that . Now the usual idea is to fix a large integer , then truncate each
where is a finite sum of units for . Then we have:
and after assuming that is algebraic, one might attempt to apply the Subspace Theorem to this equation for , and the individual units in each . The difference compared to work of Adamczewski-Bugeaud or Corvaja-Zannier is that while terms in their application of the Subspace Theorem are -integers for an appropriate choice of a finite set of places in an appropriate number field, here we cannot find such an so that the term above is an -integer for infinitely many . For this reason, in our situation, when applying the Subspace Theorem we may have the contribution where is the number of terms. With just the constraint , it is entirely possible for the above contribution to offset the error term and one fails to apply the Subspace Theorem. Therefore new ideas are needed to overcome this crucial issue. Moreover, after one applies the Subspace Theorem, it remains a highly nontrivial task to arrive at the desired conclusion from the resulting linear relation. This paper promotes the innovation that one should start with a certain “minimal expression” before applying the Subspace Theorem in order to maximize the benefit of the resulting linear relation. We refer the readers to the discussion right after Proposition 3.6 for more details.
Acknowledgements. The author wishes to thank Professors Yann Bugeaud and Maurice Mignotte for useful comments. The author is partially supported by an NSERC Discovery Grant and a CRC II Research Stipend from the Government of Canada.
2. The Subspace Theorem
The Subspace Theorem is one of the milestones of diophantine geometry in the last 50 years. The first version was obtained by Schmidt [Sch70] and further versions were obtained by Schlickewei and Evertse [Sch92, Eve96, ES02]. This section follows the exposition in the book of Bombieri-Gubler [BG06].
Let where is the set of -adic valuations and is the singleton consisting of the usual archimedean valuation. More generally, for every number field , write where is the set of archimedean places and is the set of finite places. Throughout this paper, we fix an embedding of into and let denote the usual absolute value on . Hence for a number field , the set corresponds to the set of real embeddings and pairs of complex-conjugate embeddings of into . For every , let denote the completion of with respect to and denote where is the restriction of to . Following [BG06, Chapter 1], for every restricting to on , we normalize as follows:
Let , for every vector and , let . For , let be a number field such that has a representative and define:
It is an easy fact that this is independent of the choice of and the number field . Then we define . For , write and . Later on, we will use the classical version of Roth’s theorem [BG06, Chapter 6] to give a weak upper bound on :
Theorem 2.1 (Roth’s theorem).
Let . Let be a real algebraic number. Then there are only finitely many rational numbers such that
Let , for every vector , let denote the corresponding point in . For every , denote . We have:
Theorem 2.2 (Subspace Theorem).
Let , let be a number field, and let be finite. For every , let be linearly independent linear forms in the variables with -algebraic coefficients in . For every , the solutions of the inequality:
are contained in finitely many hyperplanes of .
3. Preliminary results and preparation for the proof of Theorem 1.3
Throughout this section, we assume the notation in the statement of Theorem 1.3 and put , , , for every to simplify the notation. From now on, assume that is algebraic and let be the Galois closure of . For , let be the sequence of partial sums. We will repeatedly use the following observation: if is a sequence in such that as then as for every ; this means for every , we have for all sufficiently large .
We are given that for every . We may assume that for every , as follows. Let denote the nontrivial automorphism of . Suppose that then . Applying gives , therefore . Since , we conclude that is possible for only finitely many . A similar conclusion holds for too. By ignoring the first finitely many ’s, we may assume for every .
Similarly, from for any , by ignoring the first finitely many ’s, we may assume:
(1) | The numbers and ’s for are pairwise distinct and non-zero. |
We start with several easy estimates:
Lemma 3.1.
-
(i)
For every positive integer , we have:
-
(ii)
For any positive integers , we have:
Proof.
Part (i) follows from
Part (ii) follows from and part (i). ∎
Lemma 3.2.
-
(i)
and as .
-
(ii)
as .
Proof.
Due to the fact that , and are units, and our assumption on the ’s and ’s, we have while the non-archimedean contribution is . This proves the first assertion of part (i), the remaining one follows since as .
For part (ii), we use the inequality:
There exists such that for every by part (i). Given any , part (i) also gives that for every sufficiently large . Choose a large integer so that
for every ; this is possible thanks to Lemma 3.1. Hence for all sufficiently large , we have:
and this finishes the proof. ∎
Corollary 3.3.
is irrational.
Proof.
Suppose is rational. From:
-
•
,
-
•
,
-
•
, and
-
•
,
we have that for all sufficiently large , contradiction. ∎
Proposition 3.4.
There are only finitely many such that .
Proof.
Let that will be specified later. Suppose there are infinitely many such that . For each such that is sufficiently large, we have
while . Note that
We now require to satisfy:
(2) |
this is possible since . Then Roth’s theorem implies that the ’s take a single value for infinitely many such . But this contradicts (1). ∎
Remark 3.5.
In Proposition 3.4, the same arguments can be used when we replace by any constant greater than . When , we have and this explains the transcendence of given the “easy” bound .
Note that since they are units. Then we can use the geometric series to express:
(3) |
which is valid when is sufficiently large so that
Let be a large positive integers that will be specified later. In the following, denotes an arbitrarily large positive integer. In the various -notations and -notations, the implied constants might depend on the given data and but they are independent of . We have:
(4) |
As mentioned in the Section 1, it is typical in applications of the Subspace Theorem to break as and truncate the expression (3) for to maintain the error term .
For , let
thanks to Proposition 3.4. The explicit upper bound here is not important: the key fact is that these ’s can be bounded from above independently of .
Proposition 3.6.
For all sufficiently large , we have:
for . This means for every , the LHS is less than for all sufficiently large .
Proof.
Let . We have
Hence it suffices to require the first term in the RHS:
to be . This is actually the case, as follows. First, by the definition of we have . Second when is sufficiently large since is bounded above independently of and the assumption on the sequences , , and . ∎
At this point, one may attempt to apply the Subspace Theorem using the inequality:
(5) |
and linear forms in variables for the terms , , and those in the double sum in a similar manner to [CZ04, p. 180–181] or [KMN19, Proposition 3.4]. However, unlike these previous papers, the term in our situation is not an -integer (for infinitely many ) for any choice of a finite set . Because of this, there is a potential contribution of which could completely offset the error term .
Our new idea is to consider an extra “buffer zone” by specifying another positive integer , expressing
(6) |
and rewriting (5) as
We then multiply both sides by to get
(7) |
After that we expand as a linear combination of terms, expand as a linear combination of terms. Note that each , , as well as each individual term in the double sum now consists of many terms. In a typical application of the Subspace Theorem, one is worse off after performing the above steps. Therefore it is amusing that in our current situation, those steps can help reduce the number of terms significantly while the new error is not too much larger than the previous .
Now even if we can apply the Subspace Theorem, there remains one important technical issue to overcome. After expanding and , it might happen that certain terms in the LHS of (7) already satisfied a linear relation and the conclusion of the Subspace Theorem trivially illustrates this fact. For instance, in the double sum in the LHS of (5), if there are two different and for which and are close (or even equal) to each other then one should “gather” the two terms corresponding to and first. So we will also need a way to efficiently “gather similar terms” so that the conclusion of the Subspace Theorem becomes helpful for our purpose. First, we expand and :
Lemma 3.7.
-
(i)
There exists (possibly depending on and ) such that for all sufficiently large , we can express:
with the following properties:
-
(a)
and for every .
-
(b)
and for every .
-
(c)
for every .
-
(d)
as for every .
-
(e)
for any .
-
(a)
-
(ii)
For all sufficiently large , we can express
with the following properties:
-
(a)
and for every .
-
(b)
for every .
-
(c)
as .
-
(a)
Proof.
For part (i), let . For each , put
Note that where the last inequality follows from Lemma 3.1. We have:
We fix once and for all a 1-1 correspondence between and the set of subsets of so that corresponds to . This allows us to take the ’s to be exactly the ’s (with ) and the ’s are the corresponding products of terms among the and ; this proves parts (a) and (d). The largest among the ’s is while the smallest is ; this proves part (c). Moreover, the second largest is
and this proves part (b). It remains to prove part (e).
Consider two different subsets and of . Let be the largest element in , then we have:
where the last two inequalities follow from Lemma 3.1 and Proposition 3.4. We can now take .
The proof of part (ii) is similar by expanding:
into many terms. ∎
Then we expand each individual term in the double sum
to get:
Lemma 3.8.
Put . For all sufficiently large , we can express:
with the following properties:
-
(a)
and for every .
-
(b)
as .
-
(c)
for every .
-
(d)
for every .
Proof.
We use the expression for in Lemma 3.7 to expand each individual term in the double sum. This proves (a) and (b). The highest exponent of in that expression for is while the highest exponent of among the
for and is at most , this proves (c). The smallest exponent of among those terms is
by using the definition of the ’s. The smallest exponent of in is . This proves (d). ∎
We also need the following:
Lemma 3.9.
For all sufficiently large :
-
(i)
,
-
(ii)
-
(iii)
, and
-
(iv)
4. The number is in
We continue with the assumption and notation of Section 3, in particular is algebraic. Throughout this section, let be large, yet fixed, positive integers that will be specified later and let denote an arbitrarily large positive integer. In the various -notations and -notations, the implied constants might depend on the given data, , and but they are independent of . In this section, we finish an important step toward the proof of Theorem 1.3 namely proving that . This conclusion is similar to the one in the paper of Adamczewski-Bugeaud [AB07, Theorem 5]. In their paper, to obtain transcendence of the given number [AB07, Theorem 5A], they use a result of K. Schmidt [Sch80]. In this paper, we will need more sophisticated applications of the Subspace Theorem together with further combinatorial and Galois theoretic arguments in the next section to obtain the desired result.
As mentioned in the previous section, before applying the Subspace Theorem, we need to come up with an efficient way to “gather similar terms” in the LHS of (7). This is done first by proving the existence of a certain collection of data then choosing a minimal one among those collections.
Proposition 4.1.
Recall the and in the expression for in Lemma 3.7. There exist integers , tuples of elements of , an infinite set , tuples , , , , , for each with the following properties:
-
(i)
.
-
(ii)
For every , the ’s, ’s, and ’s are integers for every .
-
(iii)
For every , .
-
(iv)
For every , .
-
(v)
For every , the ’s, ’s, and ’s are elements of .
-
(vi)
As we have , , and for every .
-
(vii)
For all sufficiently large , we have
(9)
Proof.
Recall the inequality (7):
where the last equality follows from Lemma 3.9 and holds when is sufficiently large. We now choose to be the set of all sufficiently large integers, , and . We want the sum
to be ; therefore we simply choose the ’s and ’s for to be respectively the terms ’s and ’s for in the expression for in Lemma 3.7.
Similarly, we want the sum
to be ; therefore we simply choose the ’s and ’s for to be respectively the terms ’s and ’s for above.
Remark 4.2.
Remark 4.3.
Note that we allow any (or even all) of the to be in the statement of Proposition 4.1. For example, if then all the tuples are empty, the properties (i)-(vi) are vacuously true, and property (vii) becomes:
In the proof of Proposition 4.1, we prove the existence of the required data by crudely expanding out terms in , , and those in the double sum without any simplification whatsoever. The key trick is the following:
Definition 4.4.
Among all the collections of data satisfying properties (i)-(vii) in Proposition 4.1, we choose one for which is minimal. By abusing the notation, we still use the same notation , , , , ’s, ’s, ’s, ’s, ’s, ’s, and ’s for this chosen data with minimal .
Remark 4.5.
This trick is similar to the one in [KMN19, Proposition 3.4] in which the authors worked with a vector space with the minimal dimension among a certain family of finite-dimensional vector spaces so that any further non-trivial linear relation would not be possible.
Lemma 4.6.
There are at most finitely many in such that one of the terms , , for , , and is zero.
Proof.
If there is a term that is zero for an infinite subset of , then we have a new collection of data in which is replaced by and that zero term is removed. This violates the minimality of . ∎
The point of Definition 4.4 is that any non-trivial linear relation among the , , , , and that holds for infinitely many must involve the first 2 terms.
Proposition 4.7.
Suppose there exist an infinite subset of and complex numbers , , , , for , , and not all of which are zero such that:
(10) |
for every . We have:
-
(i)
There exist , , , , for , , and not all of which are zero with the following properties:
-
(a)
All the , , , , and are in .
-
(b)
For every :
(11) -
(c)
.
-
(a)
-
(ii)
.
Proof.
For part (i), since the terms , , , , and are in , this establishes the existence of the , , , , satisfying properties (a) and (b). We now prove .
First, assume that . This means:
(12) |
for . Now assume that for some . Then for , equation (12) allows us to express as a linear combination of the with , the , and the with coefficients in . This allows us to come up with a new data satisfying the properties in Proposition 4.1 in which is replaced by and is replaced by . This contradicts the minimality of . Therefore for and every . Similarly for and every . So now (12) becomes:
Arguing as before, we obtain a contradiction to the minimality of . This proves at least or is non-zero.
We emphasize that the arguments should be run in the above order (i.e. obtaining first). Suppose one tried to prove all the first by using (12) to express some as a linear combination of the , the with , and the . Then due to the term in the LHS of (9) and since at the moment we do not necessarily have , the “new” and would not remain in and the new data would not satisfy all the properties in Proposition 4.1.
Proposition 4.8.
The number is in .
Proof.
We will obtain a non-trivial linear relation as in the statement of Proposition 4.7 for infinitely many and apply part (ii).
Let be the valuation on corresponding to the usual and let be the other archimedean one. Note that we follow the normalization in [BG06, Chapter 1], hence:
The archimedean valuations on are denoted as and where the ’s lie above and the ’s lie above . They correspond to the following real or one for each pair of complex-conjugate embeddings of into : and . In other words:
where or depending on whether is real or complex and a similar definition for . Note that the ’s restrict to the identity automorphism on while the ’s restrict to on . In fact, since is Galois, either all archimedean valuations are real or all are complex and we simply let be the common value of the and . We have:
(13) |
Our next step is to apply the Subspace Theorem using (9). Fix that will be specified later. Let
We will work with linear forms in variables
and the vectors
for .
For each , the linear forms are denoted: , , for , for , and for . The reason is that they will be defined as follows:
-
•
For any , , , , and for any .
-
•
If for some , define and we have
since while and .
-
•
If for some , define:
so that is exactly the LHS of (9) to the power . Therefore
for all sufficiently large .
Combining with (13), we have:
(14) |
Now since is an -unit (i.e. usual algebraic integer unit), by the product formula together with the fact that and the , , , have height , we have that for all sufficiently large :
(15) |
where ranges over all the , , , , and . Recall that denotes the point in the projective space with coordinates . Since the , , and are less than , we have
for every .
We need to obtain such that:
(16) |
for all large in . We have:
(17) |
Since all the , , , and have multiplicative height , we have:
(18) |
for all sufficiently large . We have:
for all large . From Proposition 4.1 and the definition of the ’s, we have:
assuming . Hence for all large ,
(19) |
where
(20) |
Finally, note that:
(21) |
In order to obtain satisfying (16), we combine (15) and (17)–(21) and require that:
(22) |
Such an exists as long as the LHS is negative. Therefore, at the beginning of Section 3, we choose sufficiently large integers and here we choose a sufficiently small such that:
(23) |
this is possible since . Then we can apply the Subspace Theorem to have that there exists a non-trivial linear relation satisfied by the coordinates of for infinitely many . Then we use part (ii) of Proposition 4.7 to finish the proof. ∎
5. The proof of Theorem 1.3
We continue with the notations of Section 3 and ignore those in Section 4. We no longer assume the choice of , , and as in (22) and (23). However, we use the crucial result that . While the arguments in Section 4 are valid for any sufficiently large (and sufficiently small ), those in this section require that :
Assumption 5.1.
From now on, . Therefore , the are the numbers , , and most importantly:
(24) |
The following numbers , , , and will play an important role:
Lemma 5.2.
-
(i)
is the smallest non-negative numbers while is the largest non-positive numbers among the ’s.
-
(ii)
Write and write . We have . Moreover:
for all sufficiently large .
-
(iii)
for all sufficiently large .
Proof.
First, we prove the existence of a certain expression and then choose a minimal one:
Proposition 5.3.
Note that . There exist integers , an infinite set , tuples , , and for each with the following properties:
-
(i)
.
-
(ii)
For every , the ’s and ’s are integers for every .
-
(iii)
For every , .
-
(iv)
For every , .
-
(v)
For every , the ’s and ’s are elements of .
-
(vi)
As , we have and for every .
-
(vii)
For every , we have
(26)
Proof.
The proof is very similar to the proof of Proposition 4.1. Choose to be the set of all sufficiently large integers and . We want the sum to be . We simply choose the and to be the and .
Definition 5.4.
Among all the collections of data satisfying properties (i)-(vii) in Proposition 5.3, we choose one for which is minimal. By abusing the notation, we still use the same notation , , , ’s, ’s, ’s, and ’s for this chosen data with minimal .
Remark 5.5.
As before, we allow the possibility that or is . Note that the scenario cannot happen since the RHS of (26) is non-zero.
Lemma 5.6.
There are at most finitely many in such that one of the terms , for and is zero.
Proof.
This is similar to the proof of Lemma 4.6. ∎
The reason we introduce the number is that the for and for are less than for an appropriate choice of . This means that for any , as long as is sufficiently large (depending on ), then the ’s and ’s are smaller than . For our purpose, we state and prove the next result for the specific value for ; note that is at most half of the gap between and thanks to Lemma 5.2.
Proposition 5.7.
Assume that satisfies:
(27) |
Then for all but finitely many , we have and for and .
Proof.
We prove by contradiction and without loss of generality, we only need to consider 2 cases:
-
•
Case 1: there exists an infinite subset of such that for every .
-
•
Case 2: there exists an infinite subset of such that for every .
First, we assume Case 1. Let be a small number that will be specified later. For all sufficiently large , we have:
(28) |
by (26) and Lemma 5.2. We now apply the Subspace Theorem over the field . Let be its archimedean places as described in the proof of Proposition 4.8. We work with linear forms in the variables:
and the vectors
for large . For , the linear forms are denoted for , and for . They are defined as follows:
-
•
For any , for and for .
-
•
If , define .
-
•
If , define
Since is irrational by Corollary 3.3 and , we have . Together with the fact that the ’s and ’s have multiplicative height , for all large , we have:
(29) |
where the last inequality follows from the assumption in Case 1.
As in the proof of Proposition 4.8 and using , we have:
(30) |
for all sufficiently large . Recall that , as before, we can apply the Subspace Theorem if:
or in other words
We can choose such an thanks to the given condition on . Then the Subspace Theorem yields a non-trivial linear relation over among the ’s and ’s for in an infinite subset of . This allows us to express one of them as a linear combination of the other terms and we obtain a new data satisfying the properties stated in Proposition 5.3 in which is replaced by and is replaced by , contradicting the minimality of . This shows that Case 1 cannot happen.
By similar arguments, we have that Case 2 cannot happen either. For Case 2, we consider the same ’s, the variables , and as in Case 1 while the linear forms ’s and ’s are defined as folows:
-
•
For any , for and for .
-
•
If , define .
-
•
If , define .
Then we proceed as before and arrive at a contradiction. ∎
We are now at the final stage of the proof of Theorem 1.3.
Notation 5.8.
Let such that that . Let
Note that and .
We apply to both sides of:
(31) |
and recall that to get:
(32) |
Then taking the difference of the previous 2 equations, we get:
(33) |
Our idea to conclude the proof of Theorem 1.3 is as follows. Note that , hence the LHS of (33) contains the term . Let as in the proof of Lemma 3.7 (for ) and we have that there is a gap between any two of the ’s. However, since depends on , the previous method of choosing a sufficiently large does not work if we “play the ’s against each other”. The whole point of Lemma 5.2 and Proposition 5.7 is that we now have a gap of at least between and any of the ’s, ’s and a gap of at least between and any of the with .
Proposition 5.9.
Recall and let . There exist integers , an infinite subset of , and tuples
-
•
, ,
-
•
, ,
-
•
, ,
-
•
, ,
-
•
and
for each with the following properties:
-
(i)
.
-
(ii)
For every , the ’s, ’s, , ’s, and ’s are integers for every .
-
(iii)
For every , we have:
-
(iv)
For every , we have , , , , and for every .
-
(v)
For every , the ’s, ’s, ’s, ’s, and ’s are elements of .
-
(vi)
As , we have , , , , and for every .
-
(vii)
For every , we have:
(34)
Proof.
We use (33) and the expression for in Lemma 3.7, then divide both sides by to get:
(35) |
Let be the set of all sufficiently large ; in the following, is an element of . We want to be . Therefore we let , let the and for be respectively the and for . By Lemma 3.7 and the definition of , we have .
We want to be . Therefore we let , let the and for be respectively the and for . By Lemma 5.2 and Proposition 5.7, we have:
for .
We want to be:
We let and specify the and in the same manner as before. Note that is the minimum among the for while Lemma 5.2 and Proposition 5.7 yields
This guarantees .
Finally, we want to be
and want to be
We let and similar arguments can be used to finish the proof; note that with our choice:
where the last inequality follows from Proposition 5.3. ∎
Definition 5.10.
Among all the collections of data satisfying properties (i)-(vii) in Proposition 5.9, we choose one for which is minimal. By abusing the notation, we still use the same notation , , , , , , ’s, ’s, ’s, ’s, ’s, ’s, ’s, ’s, , and ’s for this chosen data with minimal .
Another application of the Subspace Theorem yields the following:
Proposition 5.11.
Recall that . Assume that satisfies:
(36) |
Then we have .
Proof.
First, suppose that . Let be a small number that will be specified later. We apply the Subspace Theorem over the field and let be as before. We work with linear forms in the variables:
and the vectors
for . For , the linear forms are denoted , , , , and for , , , and and they are defined as follows:
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•
For any , , , , , and for every except when .
-
•
If , define .
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•
If , define
Therefore if , we have since has height while . If , we have thanks to (34). Thus, arguing as before, we have:
(37) |
for all sufficiently large where ranges over all the ’s, ’s, ’s, ’s, and . On the other hand,
(38) |
Since , we can apply the Subspace Theorem if:
At the beginning of the proof, can choose an satisfying the above inequality thanks to the condition on . Then the Subspace Theorem implies that the coordinates of satisfies a non-trivial linear relation over for every in an infinite subset of . Then we have a new data satisfying the properties in Proposition 5.9 in which is replaced by and is replaced by ; this contradicts the minimality of .
For the case , , or , we use the same vectors and the same notation for the variables and linear forms. In the case , the linear forms are:
-
•
For any , , , , , and for every except when .
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•
If , define .
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•
If , define
In the case , the linear forms are:
-
•
For any , , , , , and for every except when .
-
•
If , define .
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•
If , define
Finally, in the case , the linear forms are:
-
•
For any , , , , , and for every except when .
-
•
If , define .
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•
If , define
Then similar arguments as before lead to a contradiction. This finishes the proof. ∎
Completion of the proof of Theorem 1.3.
At the beginning of this section, we fix a sufficiently large satisfying both (27) and (36). Then the previous results show that there exist an infinite set of positive integers , an integer , tuples and satisfying the conditions of Proposition 5.9; in particular:
for every . However, each as while each . Let the we have
contradicting the earlier results that is irrational. This finishes the proof. ∎
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