Overview
A new manuscript proves unconditionally that more than two thirds of the nontrivial zeros of the Riemann zeta function are simple and lie on the critical line. In a dyadic window , it first obtains the proportion , then optimizes the test function to reach
It also proves that at least of the zeros are distinct (Claude, 2026b; Claude, 2026a).
The argument turns Weil’s explicit-formula pairing into a finite real symmetric matrix. A zero on the critical line contributes a positive rank-one form, while a symmetric pair of zeros off the line contributes a hyperbolic block of signature . The prime side of the explicit formula determines the trace and Frobenius norm of the full matrix. A rank-trace inequality then forces enough positive rank to come from zeros on the line.
This is not a mollifier argument and does not assume the Riemann hypothesis. Its analytic range is exactly the range in which the relevant Dirichlet polynomial has length at most .
Status and provenance
The source is a manuscript dated August 10, 2026 and authored by Claude. It reports review by the human mathematicians named in its acknowledgments, a Lean 4 formalization, and separate symbolic checks of the main constants. The manuscript also emphasizes that the symbolic checks do not verify the analytic error estimates. This post explains the argument as presented; it is not an independent audit of a new result of this magnitude.
🏷️ Zeta-Function Preliminaries
For , the Riemann zeta function is
It extends meromorphically to the complex plane with a simple pole at . The completed function
is entire and satisfies
The nontrivial zeros lie in the critical strip
Write a zero as
and denote its multiplicity by . The functional equation and complex conjugation imply the symmetries
At positive height, the symmetry most useful here is
It preserves the ordinate and reflects the real part across the critical line
The Riemann hypothesis asserts that every nontrivial zero has . The present argument proves only a lower proportion on that line; it does not constrain the remaining zeros.
Counting Conventions
Let . The relevant counting functions are
| notation | zeros counted in |
|---|---|
| all zeros, with multiplicity | |
| critical-line zeros, with multiplicity | |
| distinct critical-line zeros | |
| simple critical-line zeros | |
| all distinct zeros |
Thus
The Riemann-von Mangoldt formula gives
It is convenient to write
so that
The mean spacing between zero ordinates near height is therefore approximately
🏷️ Main Proportion Theorems
For , define
Unconditional dyadic proportions
For each fixed ,
and
When , the factor can be omitted from these errors.
At the endpoint ,
Consequently,
and the same lower bound holds for , while
Summing over dyadic intervals transfers the conclusions from to .
Historical Scale
Before this manuscript, the unconditional critical-line record was more than , obtained through refinements of Levinson’s mollifier method (Pratt et al., 2020). Montgomery’s pair-correlation argument had long yielded simple zeros under the Riemann hypothesis (Montgomery, 1973).
The new point is not a stronger prime-side moment. The necessary band-limited pair-correlation evaluation was already known unconditionally (Baluyot et al., 2024). The new point is a way to interpret its zero side without assuming that every zero ordinate is real in the shifted coordinate introduced below.
🏷️ Weil’s Hermitian Form
For a nontrivial zero , set
Then
Reflection becomes
For , use the Fourier convention
Because is compactly supported, extends to an entire function. Two integrations by parts give sufficient decay to make the zero sum below absolutely convergent.
Define the Hermitian pairing
The symmetry makes Hermitian.
If the Riemann hypothesis holds, every is real and
In fact, positivity of the full Weil form is a criterion equivalent to the Riemann hypothesis. The manuscript does not prove positivity. Instead it compresses to a carefully chosen finite-dimensional subspace and reads the inertia of that compression.
Spectral Form of the Explicit Formula
Suppose
Weil’s explicit formula can be organized as
where
Here
is the archimedean density,
is the prime-power contribution, and is an explicit lower-order term coming from the pole of .
The support restriction is essential. The explicit formula is applied to the convolution , whose support lies in , so only prime powers satisfying
appear. Later,
The range is therefore the Dirichlet-polynomial range .
🏷️ Finite Gabor Compression
Choose an even, smooth taper
For the first, nonoptimized bound, is essentially on most of this interval and decreases smoothly to across fixed-width ramps at the endpoints.
Set
with
Since ,
Define the modulated windows
Their transforms are translates:
The compression matrix is
It has two exactly equal descriptions:
and
The first is the zero side; the second is the prime side. Indeed, the second factor in initially appears as . Since is real, this equals .
Critical Sampling Identity
Let
Poisson summation at spacing gives
In particular,
This identity fixes the useful normalization
In these units, an isolated simple zero on the line, observed through the full sampling grid, contributes trace .
Time-frequency interpretation
The functions form a critically sampled Gabor-type family. The proof uses the sampling identity, not orthogonality. Indeed, orthonormalizing the family would obscure the simple rank-one form contributed by each zero.
🏷️ The Zero-Side Block Structure
Enlarge the height window slightly:
Split the zeros in into three classes:
- : simple zeros on the critical line, with ;
- : distinct multiple zeros on the critical line, with ;
- : unordered off-line pairs , with .
Counting multiplicity gives
On-Line Zeros
For a zero on the line, is real. Its contribution to the quadratic form of is
This is a nonnegative rank-one form.
Thus the total contribution from distinct on-line zeros satisfies
After normalization,
Off-Line Pairs
Let
Then
If
the paired contribution has the form
Before pullback through the evaluation map, this is represented by
Its eigenvalues are and , so its signature is
A pullback cannot increase the positive index. Therefore, if is the sum of all off-line pair contributions,
No independence among the evaluation vectors is required. This remains valid when a pair lies extremely close to the critical line or when several zeros share the same ordinate.
The essential replacement for positivity
Under the Riemann hypothesis there is no : every zero contributes a positive square. Unconditionally, can be indefinite. The proof retains only the robust information that each off-line pair contributes at most one positive direction.
🏷️ A Rank-Trace Inequality
The central linear-algebra lemma converts trace data and inertia data into a lower bound for positive rank.
Rank-trace inequality
Let be Hermitian matrices. Suppose
Then, for every ,
At ,
Proof: Negative Directions and von Neumann's Inequality
Decompose
Since has at most positive eigenvalues,
Expanding the square gives
The term is nonnegative. Let be the eigenvalues of and those of , both in decreasing order. Von Neumann’s trace inequality gives
Since for ,
Apply
to the first terms. Since every ,
The remaining squares are nonnegative, so this part is at least . For the positive part, if are the nonzero eigenvalues of , then
Combining the estimates and using
proves the claim.
For , the scalar inequality is
This is the matrix replacement for the classical multiplicity inequality
By placing only the simple on-line zeros in , the argument also captures
equivalently
This second integrality level is what yields the same lower bound for simple zeros as for all distinct on-line zeros.
🏷️ From Block Structure to Counting Inequalities
Let be the normalized contribution from zeros in , so the full normalized matrix is
where is the contribution from zeros outside .
Regroup
where contains only simple on-line zeros. Then
while
Applying the rank-trace inequality at gives
Set
Since
we have
Therefore
and hence
For the distinct-zero count, observe that
Consequently,
The actual number of distinct zeros is , so this is a valid lower bound for .
These inequalities are purely linear algebra plus the functional-equation symmetry. The arithmetic enters only in the estimates for the trace and Frobenius norm.
🏷️ The Prime-Side Moment Calculation
The explicit formula expresses using the real density . The critical sampling identity then converts the first two matrix moments into integrals of a single convolution kernel.
After normalization, the manuscript proves
and
There are two main pieces in the second moment.
Archimedean Contribution
Stirling’s formula gives, uniformly for ,
Thus
and
After the window and matrix normalizations, this produces the term
in the squared Frobenius norm.
Prime Diagonal
The prime-power term is a Dirichlet polynomial with frequencies :
When the square is integrated over an interval of length , the diagonal supplies the second main term. For the nearly flat window, partial summation and the prime number theorem give the model asymptotic
After normalization, this becomes
The off-diagonal terms are controlled by the Montgomery-Vaughan generalized Hilbert inequality applied to the separated frequencies . The mixed terms involving , , and the pole contribution are lower order.
Why
Since
the condition keeps the Dirichlet polynomial at length at most . Beyond this range the off-diagonal prime sums are no longer negligible. Evaluating them would require Hardy-Littlewood-strength information about prime pairs.
The ratio form of the moment estimate is
where
This is the thresholded Cauchy-Schwarz branch used for one part of the distinct-zero theorem.
🏷️ Control of Zeros Outside the Window
The Fourier transform of a sharp cutoff decays only as , which is too slow to discard remote zeros. This is why the window is tapered.
For the smooth , two integrations by parts give
Using the classical local zero count
the contribution of zeros outside
has operator norm tending to zero after normalization. Its trace-norm contribution and the zeros in the two boundary strips together produce .
At , the final relative error is . For fixed , the prime off-diagonal component has the power saving , while the fixed-width taper still leaves an overall relative error.
🏷️ Assembly of the Bound
Let
The zero-side counting inequality gives
Insert the prime-side moments:
and
Then
Therefore
At ,
The same calculation gives the distinct-zero bound:
At , this is
The notable point is that the proof never attempts to show that the full matrix is positive semidefinite. The negative directions created by off-line zeros are allowed; their number is controlled through the hyperbolic block structure.
🏷️ Optimization of the Window
The flat-topped taper gives , but it is not optimal. Write
For a fixed bandwidth , the effective moment ratio is the scale-free functional
Maximizing this Rayleigh quotient gives the integral equation
where
Differentiating twice yields
The positive even optimizer is
At ,
so
The optimized on-line and simple-zero proportions are therefore
For distinct zeros,
This recovers the Montgomery-Taylor optimizing kernel, now inside an unconditional inertia argument.
🏷️ Scope and Structural Limitations
The proof uses the following analytic inputs:
- Weil’s explicit formula;
- the Riemann-von Mangoldt formula;
- Stirling’s formula for ;
- Chebyshev-Mertens estimates for prime-power sums;
- the Montgomery-Vaughan generalized Hilbert inequality;
- the local bound .
It does not use a zero-density estimate, a zero-free region, or a mollifier.
The result is not the Riemann hypothesis
The argument certifies a lower bound. It says nothing about the location of the remaining proportion of zeros. The explicit formula and the first two moments are insensitive to a sparse set of off-line zeros, so this mechanism cannot prove that every zero is on the line.
The restriction is arithmetic, while the finite dimension
is geometric. At , the rank bound alone makes the present certificate nonpositive. At , the prime off-diagonal requires unavailable correlation information. Higher moments do not bypass these two barriers in the unconditional range analyzed by the manuscript.
The first two moments and the block constraints are also sharp for the extremal multiplicity pattern. A model configuration with
mutually orthogonal simple on-line contributions and
double contributions has
and saturates both the simple-zero count and the distinct-zero count. Improving the constants therefore requires additional information, not merely a rearrangement of the same two matrix moments.
Dirichlet -Functions
The manuscript also extends the argument to each fixed primitive Dirichlet -function. The functional equation supplies the same conjugate-pair block structure, while the prime coefficients acquire phases of modulus at most . The same , , and optimized constants follow with the conductor fixed.
🏷️ Conceptual Summary
The proof can be compressed into one chain:
and finally
The conceptual innovation is the middle line. Classical pair correlation reads the zero side term by term under the Riemann hypothesis. The new argument reads the entire finite compression spectrally: positivity is replaced by a count of positive directions, and the functional equation limits how many such directions off-line pairs can supply.
Links
- on interlacing families and Kadison-Singer — both arguments extract global information from eigenvalue constraints on finite Hermitian matrices and from structured rank-one positive semidefinite contributions.
- on Sylvester’s determinantal identity and Schweinsian expansion — this provides nearby historical linear-algebra context, although the present proof uses Sylvester’s law of inertia rather than Sylvester’s determinantal identity.