WorksMathematics
Linear independence of even Dirichlet beta values
Abstract
Let denote the Dirichlet beta function. For all sufficiently large even integers , we prove .
Introduction
The Dirichlet beta function is
Its values at positive odd integers are nonzero rational multiples of powers of . The arithmetic of its even values is much less understood. One way to measure progress without settling an individual value is to bound the dimension
A lower bound means that at least values in this finite list are linearly independent over the rationals. It implies that at least of them are irrational, but does not identify those values.
Rivoal and Zudilin [7 Theorem 1] proved a logarithmic lower bound with leading constant for the span after adjoining 1. Fischler [2 Theorem 1] subsequently obtained
as a special case of his result for periodic Dirichlet series. His later use of Siegel’s lemma to construct rational functions with small coefficients gives a bound of order for odd zeta values [3].
Mistiaen [5 Theorem 1.0.5 and Remark 3] extends that method to Dirichlet characters whose conductors are not divisible by 4. The restriction excludes the character of conductor 4 associated with , so that theorem does not cover the even beta values. We obtain the following bound for the beta function.
Theorem 1.1. For every sufficiently large even integer ,
The theorem concerns linear independence in a growing family. It does not, in particular, establish the irrationality of . A recent preprint of Kumar and Tosi [4] claims a bound of square-root order for the number of irrational values of real Dirichlet -functions. The proof contains unresolved arithmetic errors,1 so we do not regard that version as establishing the claimed bound. Our proof is independent of theirs. Theorem 1.1 concerns the stronger quantity (1): irrational numbers can still satisfy many rational linear relations.
Specializing general results on polylogarithms with periodic coefficients [6] gives bounds involving both even and odd beta values. However, the odd values are already linearly independent over the rationals: they are nonzero rational multiples of distinct powers of , and is transcendental. The lower bound supplied by those results can therefore be met by the odd values alone, without establishing the desired independence among the even values. Our construction avoids this issue by producing linear forms involving only and the even beta values.
How the proof works
For a fixed even cutoff , the proof constructs integer linear forms in and the even beta values:
If all these beta values were rational, any nonzero such form would have absolute value bounded below by the reciprocal of a common denominator. Linear-independence criteria refine this observation to give a lower bound on the dimension of their span.
With this set of beta values fixed, we use a criterion of Fischler, stated in Proposition 2.1. It requires a family of forms at each large index , with controlled growth of their integer coefficients and exponential decay of their values. It also requires a rank condition on the coefficient matrix, which prevents the whole family from vanishing. The dimension bound depends on the decay rate relative to the coefficient growth. Thus constructing a small expression is only the first step: we must control its size after clearing denominators and establish the required rank condition.
The starting point is Fischler’s rational function
whose coefficients have controlled size and whose many initial zero Laurent coefficients make it decay rapidly far from its poles [3, Theorem 4]. The coefficients are supplied by an existence theorem; no explicit formula for them is needed. We retain this rational function and sum it over half-integers.
Half-integer arguments already occur in classical approximations to beta values, including the hypergeometric construction of Rivoal and Zudilin [7, Section 2]. They are natural here because powers of are proportional to powers of the odd integers in the beta series. Alternating sums therefore produce beta values. Combining the positive and negative half-integer sums removes the odd beta values. § 3 carries this out using generating functions evaluated at .
These generating functions satisfy a rational differential system whose coefficients have no pole at ; it is an ordinary point of the system. This avoids the singular evaluation point identified in [5 Section 2]. At an ordinary point, the initial values determine an analytic solution, and its Taylor coefficients express derivatives in terms of those initial values. This is useful for the arithmetic of our linear forms. The sums first produce finite correction terms with rational coefficients. We remove those terms by differentiation before clearing denominators. § 4 then bounds the denominators through the local differential system, and § 5 compares the resulting coefficient growth and decay.
The remaining task is the rank condition. § 6 follows Fischler’s multiplicity method [3 Section 4.5]: failure of the rank condition would force certain polynomial combinations of solutions to have more vanishing than their degrees permit. Our system has an extra diagonal term, so we first make the change and rescale some components of the solution. This removes that term and allows the independence argument to work. The substitution doubles the relevant polynomial degrees, but the evaluation point now has two preimages, and . Counting the vanishing at both recovers the required inequality.
§ 2 states the three inputs from Fischler precisely. Once their hypotheses have been verified, § 7 uses his numerical parameter choice to obtain the stated constant.
Conventions
All logarithms are natural. We write , with , and for the th harmonic number. The symbol denotes the imaginary unit. The auxiliary parameters of the construction are fixed while tends to infinity through an indicated infinite set of integers. Every in that stage of the proof is uniform in the finite indices and in the specified derivative range. Only in the last section do we let the parameter controlling the largest beta argument tend to infinity.
Three inputs from Fischler
We first state the criterion that turns linear forms into a dimension bound. The other two inputs provide the rational functions from which the forms are built and the multiplicity estimate used to prove their rank condition.
A refined linear-independence criterion
The rows of the matrix below are the coefficients of integer linear forms in the target numbers. The two size bounds measure the growth of those coefficients and the decay of the forms when evaluated at the target vector. The rank condition is the third hypothesis to be proved.
Proposition 2.1 ([3 Proposition 1], over ). Let be a real vector with . For each in an infinite set, let be an integer matrix with columns and any finite number of rows. Suppose that, for fixed and with ,
Suppose also that, for sufficiently large ,
Then
Condition (3) says that the first column is not a rational linear combination of the other columns. Full column rank is not required. This distinction is useful here because the rational function in Proposition 2.2 is obtained by an existence argument, and its coefficients need not give full rank. In our application, and the other coordinates are even beta values. We will bound the coefficients and values of the forms in § 5, then prove (3) in § 6. No lower bound on the value of each individual form is required.
A rational function with small coefficients
The construction supplies two properties at once: integer partial-fraction coefficients of controlled size, and high-order vanishing at infinity. The latter means that the function decays rapidly at the arguments where we will sum it.
Proposition 2.2 ([3 Theorem 4]). Let be a positive integer and let be rational numbers with
For every sufficiently large integer such that , , are integers, there are integers , not all zero, for and , with the following properties. Set
Then for ,
and, uniformly in ,
Here bounds the pole orders, and is a lower bound for the order of vanishing at infinity. The parameter will determine the summation cutoff . The larger threshold gives the stronger estimate in the first line of (5). These parameters are fixed as grows; their choice is postponed until § 7.
Group the coefficients with the same pole order into polynomials
The will multiply the special functions obtained by summing . We retain the actual largest index , rather than replacing it by , because the rank proof needs a nonzero highest coefficient . The integer may depend on , but always satisfies .
A multiplicity estimate
The rank proof will argue by contradiction. If the coefficient matrix has a forbidden kernel vector, we can construct polynomial combinations of solutions with many vanishing derivatives. The following theorem limits their total order of vanishing in terms of the polynomial degrees. It plays the role of a zero-counting bound for these combinations.
Let be a fixed rational differential system of size . For polynomials of degree at most , write
We call this scalar function the remainder associated with the solution and the fixed polynomial row . The selected remainders must satisfy a common scalar linear differential equation of some order , with rational coefficients. In our application such an equation will follow from the finite dimension of the system.
At a point , the Nilsson class consists of finite sums of holomorphic functions multiplied by complex powers and nonnegative integer powers of a logarithm of the local coordinate. At infinity the local coordinate is . The order is the least real part of a power that occurs after expanding the holomorphic factors; logarithmic factors do not change it. For example, . In particular, has order at infinity. Negative orders will therefore occur when we apply the theorem.
Proposition 2.3 ([3 Theorem 3]; see also [1 Theorem 3.1]). Let be a fixed finite set of points of the Riemann sphere containing infinity. At each , choose a family of local solutions , indexed by , whose remainders are in the Nilsson class and are linearly independent over . If a nonzero rational differential operator of order annihilates all these remainders, then
The constant depends only on the differential system and on .
The solution families at different points need not agree by analytic continuation, and no independence between different families is required. These features are explicit in [1 Section 3.1]. We use the formulation in [3], which also allows negative orders at infinity, as in its proof of Proposition 3. The constant is uniform in the polynomial row and in the selected solutions. This uniformity is essential when that row and the solutions depend on .
Half-integer sums and their differential system
We now turn the rational function of Proposition 2.2 into linear forms in beta values. First we identify the functions whose values at give the required even arguments. We then express the sums of in terms of those functions and remove the finite corrections by differentiation.
The functions at the evaluation point
The half-integer denominators are chosen so that alternating signs give the beta series: . For , put
The integral
continues it to . In particular, the series or its Abel limit gives , including $j=1.
We still need to remove the odd arguments . The positive and negative half-integer sums lead to functions at and ; we combine them as
Both terms are analytic near by (6). At that point the combination supplies the factor :
Thus is zero for odd and is for even . Their derivatives are rational-function combinations of the same functions and the constant function. Let . For any positive integer , the identity implies that is a solution of
The coordinate represents the constant function , which appears in the derivative of . Since the coefficients have no pole at , arbitrary initial values there determine an analytic solution. We will use the beta-valued initial vector for the linear forms, and arbitrary initial vectors for the rank proof.
Summation and finite tails
From now on we assume , and set . The sums start beyond this cutoff so that the decay estimates for apply. To obtain several families of forms we use and its first derivatives, where is an integer. A derivative of order raises a denominator power to , so we use the system (8) with .
The powers of in the following definition align the two reflected sums with . The factor makes the finite corrections polynomial, as the next lemma shows. For define, on the unit circle,
Here is differentiated with respect to its argument. Near we continue the two tails separately, using the identity below.
Lemma 3.1. Near there is an identity
Proof. Differentiate the partial fractions of . For a fixed pair write and change the summation index to in the positive tail, and to in the negative tail. The infinite parts give the corresponding term of (10). The finite correction is times
Since $0 \le j \le n \le M. Summing these corrections proves the assertion.
The positive and negative infinite tails are initially analytic on opposite sides of the circle. Each has the displayed continuation near by (6). For the derivative orders used below, the differentiated series converge absolutely on the circle; their values agree with the derivatives of the continuations by Abel limits.
Rows representing derivatives
Write the nonpolynomial part of (10) as . Its coefficient polynomials are
The degree of each is at most . They have integer coefficients. We next track the coefficients produced by differentiating this expression. The system (8) expresses every derivative in the same functions, so no additional special functions are needed. Starting with , the product rule gives
where . The index corresponds to no differentiation; hence represents the derivative of order . For every solution of (8), differentiation gives
For , the derivative also kills , so
Equation (7) makes the right side a rational linear form in and the even beta values. Dividing by turns the derivatives into Taylor coefficients, whose denominators we can control in the next section. The finite correction has disappeared, so its coefficient denominators do not have to be cleared. The universal identity (14), valid for arbitrary initial values of the solution, will supply the rank argument.
Denominators of the local solution
Our aim is to turn the rational linear forms in (15) into integer linear forms without losing their smallness. Put and let be the fundamental matrix of (8), normalized by . Thus the solution with initial column at is . The Taylor coefficients of record how the derivatives of a solution depend on its initial values. Since the polynomial row has integer coefficients, denominators for these Taylor coefficients will suffice for our forms.
We use the distinct-product least common multiple from [3 Lemma 2]; here positive indices suffice. The reason for distinct products will emerge from solving the differential system by successive integrations: each integration contributes a denominator equal to a new, strictly larger Taylor degree.
For integers and , define
Empty products and are taken to be .
Lemma 4.1. One has
In particular, divides , and for fixed ,
Proof. For a prime , the maximum valuation of a product of at most distinct integers in is the sum of the largest valuations in that set. It equals
The product on the right of (4.2) has the same valuation: for each , there are exactly indices with . Divisibility follows either from the definition or from this formula. Finally, the prime number theorem gives . Sum this estimate over the fixed set to obtain (4.3).
The dependence on is important. Allowing arbitrary factors from would give the larger multiplier , with logarithm asymptotic to . Distinct factors give instead. Since grows only logarithmically with , this keeps the arithmetic cost small when the number of beta values is later increased.
Lemma 4.2. For the normalized fundamental matrix defined above,
Proof. The common diagonal term in the equations is removed by an integrating factor. Put , set for , and leave unchanged. Since , this does not change initial values. The transformed equations are
Both and have their degree- coefficient in . For , this follows from
multiplication by preserves the asserted denominator bound. The coefficients of are integers.
Each entry of the normalized solution of (4.4) is a finite sum of iterated integrals of depth at most , and multiplication by restores . Expand one contribution to a coefficient of degree . At each integration, the degree increases strictly. Its integration denominators are therefore distinct integers
Their product divides . The total degrees supplied by coefficients of the multiplied series, including the final factor , are at most ; their powers of divide . This controls each contribution and hence their sum. The argument includes the column with , whose first integration uses the inhomogeneous term displayed in (19).
Corollary 4.3. For every in the construction,
For this gives an integer linear form in whose value is
Proof. The row has integral Taylor coefficients. The coefficient of in is the row , by (14). Use Lemma 4.2 and for . Substitution of (7) multiplies even columns by integers and sets odd contributions to zero.
Sizes of coefficients and of linear forms
We now supply the two size bounds in Proposition 2.1. Both include the multiplier from § 4: the forms must remain small after their coefficients have been made integral. We use derivatives of order exceeding the degree of the finite correction, while leaving enough decay in the tail for its sum to converge. Accordingly, assume
In addition to the integer conditions in Proposition 2.2, we require to be integral. We call such admissible: , , and are all integers. We prove bounds uniform throughout the displayed range.
Proposition 5.1. Every coefficient of the integer form is at most in absolute value, where
The values satisfy , where
The term in (23) supplies the decay; the other terms are costs from the coefficient bound, differentiation and denominators. § 7 chooses the parameters so that and compares this decay with .
Coefficient bound. On the disk , the row-sum norm of the matrix in (8) is at most , since and . Integrating along a straight segment from gives . Equations (4) and (12) give
on the same disk. The factors depend only on the fixed parameters, and the number of coefficients is polynomial in . Cauchy’s coefficient estimate therefore bounds by this expression times and a fixed constant. Multiply by . By monotonicity it is enough to bound , and (18) yields (22). The factors in (7) are fixed while tends to infinity.
Value bound. For real and , we first claim
The Laurent series converges for , because all poles lie among . Differentiation adds the factor to the bound for the th term. For , combine (5) as
There are terms, with remaining factors bounded by a fixed power of . For , write . The remaining tail is bounded by a polynomial in times , because and are fixed. This proves (24), uniformly in and $p.
Write . After division by , the absolute derivatives at of the monomials in (9) are
where the second is zero if . For and , both upper arguments are at most . The elementary bound gives
The exponent satisfies . The sum is at most by comparison with an integral, so it is uniformly bounded. We obtain
These bounds also justify the absolute convergence of the differentiated series used in Lemma 3.1. Multiplication by proves (23).
The weak rank condition
The size estimates are now available, but Proposition 2.1 also requires the weak rank condition (3). We prove it first for the derivative rows , before removing the odd columns. § 7 then passes it to the integer forms in even beta values. The rows have zero entries for : this holds for and is preserved by (13). We can therefore work with the system truncated at component .
The proof adapts [3 Section 4.5]. A forbidden kernel vector would give solutions whose polynomial combinations have many vanishing derivatives at . We convert these into remainders for a single polynomial row, prove that the remainders are independent, and apply Proposition 2.3 to contradict their total vanishing. The inequality below is the one obtained from that final count.
Proposition 6.1. Assume
For all sufficiently large admissible , if satisfy
then .
Taylor corrections and a common polynomial row
Suppose , and scale so that . Let solve (8) near with . In particular . The kernel equations say that certain high derivatives of vanish at . To turn this into a zero of high order, we must also remove the lower Taylor coefficients. Choose of degree at most to cancel the Taylor polynomial through degree of at . The universal identity (14) and the assumed vanishing of the higher derivatives give
The derivatives of orders vanish by the choice of ; those of orders vanish by hypothesis.
The functions still have different coefficient rows. The multiplicity theorem instead needs one fixed polynomial row applied to several solutions of the same system. Following Fischler, we arrange this by combining the with powers of a local branch near :
Each retains the zero of order at least at . The common polynomial row will have entries for the corrections and entries for the original polynomials :
The dependence on is placed in the solution vectors. Define
Then . All vectors solve the same system
The first components are powers of ; the components with contain the original solution . On differentiating the latter components, terms from the derivatives of combine with those from the derivatives of . After reindexing, their coefficients simplify by the identity
The factor is 1. This gives the equation at index . When , the corresponding factors vanish for ; the remaining source is , giving the equation for . The diagonal term remains in every summand. The equations for follow by differentiating powers of .
Quadratic change of variable
The common diagonal term in the components can be removed by multiplying those components by . We introduce with so that this change is rational in the new variable and the coefficient row remains polynomial. Set
The diagonal terms cancel, leaving
The common coefficient polynomials become
Their degrees are at most : those with have degree at most , and those with have degree at most . For the solutions obtained from , the remainder equals . It vanishes to order at least at each of and .
The change of variable increases the polynomial degrees, but it also gives two points at which to count the high-order zeros. The same polynomials (6.7) are used at both points; only the local solution families differ. This is why the Taylor corrections were constructed in before making the change of variable.
Independence by residues
To count these zeros with Proposition 2.3, we must know that no nonzero constant combination of the remainders vanishes identically. The triangular form of the new system makes this possible. Each derivative link has a nonzero residue, whereas the derivative of a rational function has zero residue at every finite point. The following lemma uses this to rule out rational-function relations between successive components. It abstracts the argument in [3 Section 4.5, Step 4]. Different links of the system may use different finite poles.
Lemma 6.2. Suppose is a nonzero constant and for , where each rational function has a nonzero residue at some finite point. Then are linearly independent over .
Proof. Clear the denominators of a putative rational relation and write it as , with and . Let . Differentiating times eliminates . The coefficient of is
This follows by differentiating successively and retaining the two highest components. All summands except are derivatives of rational functions; the first term is a polynomial. They have zero residue at every finite point. The remaining residue is , nonzero at a suitable point. Thus (32) is not the zero function. Clearing denominators gives a polynomial relation with nonzero highest coefficient at index . Descent eventually gives a nonzero polynomial times the nonzero constant equal to zero, a contradiction.
In (30), the link has residue at , and has residue at . Consider a nonzero constant combination of the solutions . If is the largest index with nonzero coefficient, its first nonzero component is at index and is a nonzero constant, by (28). This component remains constant after the change of variable and rescaling. Lemma 6.2, starting at that index, shows that the remainder cannot vanish identically, because its highest coefficient is nonzero. Thus the high-order remainders are linearly independent at each of and .
The other local remainders
We also need remainders at , infinity and . These will come from solutions whose first components vanish. The remaining equations then integrate to powers of a logarithm. Their combined orders at and infinity will be independent of , while one of them will inherit additional zeros at from the decay of .
For , system (30) has a solution whose components below vanish and whose remaining components are
Its remainder is
These remainders are independent. In a nonzero constant relation, the least index with nonzero coefficient supplies the unique highest logarithmic degree, with a nonzero coefficient proportional to . This is impossible because is transcendental over .
At , each remainder has order at least ; at infinity its order is at least . For the zeros at , consider
near , on the branch . The asserted order is another form of the vanishing of at infinity. Indeed, the partial fractions give the Laplace-transform identity
If the analytic function multiplying is , the coefficient of is . Proposition 2.2 therefore implies that vanishes to order at least . Since , this proves (34). This is the observation used in [3 Sections 3.5 and 4.5].
Now . At each of and , choose the local branch for which at that point. The map has nonzero derivative there, so (34) gives order at least at each point. These two local branches need not be restrictions of a single global branch; Proposition 2.3 allows the different local solutions.
Counting the orders
Apply Proposition 2.3 with
to (30) and (31). The system is regular singular: its matrix has only simple finite poles and is at infinity. Its solutions therefore have the required Nilsson expansions. The constructed families give the following bounds.
| Point | Independent remainders | Order of each, at least |
| Each of | ||
| Each of |
Table 1.
There is a common rational differential operator of order annihilating all remainders. Differentiating a remainder iterates the operation on a row of length ; its first iterates are rationally dependent. Since the remainders at infinity are independent, . The multiplicity estimate gives
The constant depends only on the system and . The finitely many possibilities allow a uniform constant, even when varies with . Dividing the last inequality by would give
This contradicts (25) for sufficiently large and proves Proposition 6.1.
The dimension estimate and the choice of parameters
We can now assemble the argument. Section 4 made the forms integral, Section 5 bounded their coefficients and values, and Section 6 supplied the rank statement. We first apply the criterion with all auxiliary parameters fixed, then choose them as the number of beta values increases.
For each admissible , form the integer matrix with rows the coefficients of in
It satisfies (3). Indeed, a rational vector annihilating all these rows lifts to one for the rows by putting zero in every odd coordinate and multiplying coordinate by . for even . Its constant coordinate is unchanged. The row multipliers are nonzero, so Proposition 6.1 forces that constant coordinate to be zero.
If , Proposition 2.1 gives
Removing loses at most one dimension. Thus
The scales in the parameter choice can be read from this quotient. Increasing improves the decay through , but it also increases by a term of order . The denominator estimate contributes a term of order when is proportional to . Taking of order therefore keeps of order while making of order . Their quotient has the desired order .
For the numerical constants, use the choice of [3 Section 4.6]. Let tend to infinity through positive multiples of 25, and set
For sufficiently large these satisfy and , and
Take through sufficiently large multiples of 50. For each fixed , all needed integer conditions and the weak rank statement then hold.
As , equations (4), (22) and (23) give
In particular, for sufficiently large . With , (35) implies
The strict inequality requires little numerical precision: and already suffice, since increases with .
Finally is nondecreasing, and successive multiples of 34 have bounded gaps. For an arbitrary large even , apply (38) to . The quotient of the corresponding factors tends to 1. The strict slack between and 0.21 proves Theorem 1.1.
Remark 7.1. The limiting assertion (38) extends to all even in the same way. We retain the simpler constant 0.21 in the theorem. No explicit threshold for sufficiently large is asserted; in particular, the multiplicity constant has not been tracked.
Acknowledgements and preparation
The proof uses Fischler’s rational-function construction, refined linear-independence criterion and multiplicity method. The numerical parameters and the organization of the rank argument are taken from his proof, with the adaptations identified in the text. Mistiaen’s explanation of the conductor restriction suggested the evaluation-point question addressed here.
This research note was prepared with OpenAI Codex. The accompanying exact calculations check finite instances of the identities and denominator bounds; they are not formal verification. The paper has been independently cross-checked by another model.
References
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