Overview

Sendov’s conjecture asserts that every zero of a polynomial whose zeroes lie in the closed unit disk is within distance one of a critical point. Lech Mazur announced a computer-assisted proof on August 5, 2026; Terence Tao subsequently extracted a substantially shorter, human-readable argument (Mazur, 2026; Tao, 2026).

The conceptual core is elementary. In Tao’s streamlined route, normalize a distinguished zero to and write every putative distant critical point as , with . Four identities obtained from coefficients and from evaluating or at , , and the reflected point are the only remaining communication between the other zeroes and the reciprocal critical data . A polar identity forces the mean of the close to ; two origin identities, Maclaurin’s inequality, and a finite-product defect estimate force it away from the same region. The problem thereby collapses to incompatible inequalities for two real scalars.

The reduction, the boundary case, and degrees through are hand proofs. One qualification is essential: a bounded range of the final one-variable inequality is closed by exact computer verification. Tao’s companion development implements this check with rational Bernstein certificates and treats the remaining degrees analytically (Tao, 2026b). This note explains the certificate’s mathematical content but does not reproduce its thousands of rational coefficients. No Lean source file was inspected, and no Lean code was run for this note.

🏷️ The Conjecture and Its Strict Form

Write

Sendov's conjecture

Let be a complex polynomial of degree , all of whose zeroes lie in . For every zero of , there is a zero of such that

The stronger Phelps—Rodriguez statement classifies equality (Phelps & Rodriguez, 1972).

Phelps--Rodriguez theorem

Under the same hypotheses, one may take unless and

for some .

The statement that drives the proof is the following strict interior form.

Strict interior theorem

Under the hypotheses of Sendov’s conjecture, let be a zero with . Then has a zero satisfying

Once this is known, only the case remains. The boundary argument below either produces a critical point at distance strictly less than one or forces the extremal polynomial . Thus the strict interior theorem and the boundary classification together imply the Phelps—Rodriguez statement, which in turn implies Sendov’s conjecture.

The problem was recorded in Hayman’s collection of research problems (Hayman, 1967). Brown and Xiang proved it through degree eight (Brown & Xiang, 1999), while Tao proved it for every sufficiently large degree (Tao, 2022). Those results left a finite but ineffective middle range. Mazur’s proof closed every degree, and Tao’s digestion also proves the strict interior statement, hence the full Phelps—Rodriguez theorem.

Status and proof boundary

These sources were only days old when this note was written. Mazur’s manuscript explicitly separates its written analytic reduction, its exact supplementary certificates, and a Lean formalization that proves the theorem by a streamlined route rather than checking the manuscript line by line (Mazur, 2026). Tao’s second formalization follows Tao’s streamlined proof and shares no code with the first, but it is not an independent mathematical proof (Tao, 2026b). Formal verification is strong evidence for the theorem; it is not a substitute for independent specialist review of the exposition and provenance.

Mazur’s manuscript and Tao’s digestion should also be distinguished mathematically. Mazur begins with a minimum-distance scaling and reaches a scalar inequality in parameters customarily denoted and ; its finite certificate covers and a second exact certificate enters the analytic tail. Tao reorganizes the same proof lineage around four communication identities and the two parameters and . The argument developed below is Tao’s streamlined descendant, with Mazur’s manuscript used as an independent check on the normalization, defect estimate, low-degree argument, and certification boundary.

🏷️ Preliminary Geometry and Inequalities

All zeroes and critical points in this note are counted with algebraic multiplicity. The fundamental theorem of algebra gives

A zero of multiplicity at least two is automatically a critical point, so Sendov’s conclusion is immediate at such a zero. Any hypothetical counterexample therefore has a simple distinguished zero.

Gauss--Lucas as background

The Gauss—Lucas theorem places every critical point in the convex hull of the zeroes, hence in here. A short proof illustrates why Sendov is a genuinely sharper, local assertion. Away from the zeroes,

If lies outside the convex hull, a rotation makes every have positive real part. Then every reciprocal also has positive real part, so their sum cannot vanish. Gauss—Lucas gives the global disk containing the critical points; Sendov asks for a unit disk centered at each individual zero.

Multiplying by a nonzero constant changes neither its zeroes nor its critical points. Rotation is equally harmless: if , then has zeroes and critical points obtained from those of by multiplication by , and all relevant distances are unchanged. Consequently a nonzero distinguished zero can be rotated to a real number .

For and , the elementary reflection identity

is equivalent to the fact that maps the closed unit disk to itself. This is the sole Möbius-geometric input in the interior proof.

Two inequalities compress products of nonnegative numbers. For , quadratic-mean—geometric-mean gives

while the codimension-one case of Maclaurin’s inequality gives

We will also use, with the signs indicated,

and

The latter follows after squaring, since

Two model cases

For a quadratic with zeroes and , the unique critical point is , so its distance from is . At the opposite extreme, if and , then the only critical point is , of multiplicity , and . This is exactly the equality family in Phelps—Rodriguez.

🏷️ A Counterexample in Reciprocal Coordinates

Assume that the strict interior theorem fails. Rotate the plane and multiply by a scalar so that the distinguished zero is real and is monic:

Every critical point then satisfies . Put and introduce the reciprocal displacement

The distinguished zero is simple, since otherwise and the strict conclusion is already true. Let be the remaining zeroes of , counted with multiplicity, so and . Thus

and

The fundamental theorem of calculus along the segment gives

Since , substitution of the critical-point factorization gives the antiderivative identity

The case already contradicts these factorizations. Indeed, differentiating at the origin and evaluating the critical-point factorization there give

The left side has modulus at most , while the right side has modulus

Hence the substantive interior case has

🏷️ Four Communication Identities

Define

The two point clouds and are connected by the following identities. The apparently singular expression in the last one is always understood in the polynomial, division-free form

It therefore remains meaningful when some vanishes.

Communication identities

The centroid identity is

The polar identity is

The first and second origin identities are

and

No further property of is used. From this point onward, one studies two multisets in the closed disk satisfying these four relations. This deliberate loss of information is the decisive simplification: the zeroes and critical points cease to be a tightly coupled algebraic system and communicate only through a few scalar statistics.

🏷️ The Two Scalar Parameters

Let

Since the closed disk is convex,

Two further quantities encode the boundary scale of and the displacement of the mean:

so that

and

Write . Then

Thus is the delicate boundary layer , while measures how close the real part of the critical-point mean is to its extremal value. In particular,

The proof produces an upper constraint on from the polar identity and a competing lower constraint from the origin identities.

🏷️ The Polar Channel

For real , the reflection identity from the preliminaries gives

The denominator is nonzero because the distinguished zero is simple. Hence

The polar identity and the triangle inequality therefore imply

For every , quadratic-mean—geometric-mean and give

Consequently,

Put . Since and

the expression inside the power satisfies

Indeed, this follows directly from

and . Raising to the power and using gives the exponential polar inequality

The inequality is strict after integration: for , either makes the preceding relaxation strict or does, apart from at most isolated values of .

First, . Otherwise the affine exponent is nonpositive on and negative away from at most the endpoint, making the integral strictly less than one. Since , evaluation now gives

Equivalently,

Because , the displayed lower bound is strictly stronger than what is needed below; in particular,

A second elementary estimate is stronger for small .

Hyperbolic-sine estimate

For ,

Both sides vanish at . Comparing derivatives reduces the claim to

Its Taylor expansion is

whose coefficients are nonnegative.

Indeed, with

the exponential integral equals

Its being larger than gives

Since , both sides of are positive. Squaring and cancelling gives

Substituting yields

We have proved the polar constraint

Since , it also follows that

🏷️ The Origin Channel

Differentiate . Adding and subtracting the mean term gives the exact identity

To check the identity, begin with direct product differentiation and use

then sum over and recall that .

Let . Using , followed by the top Maclaurin inequality and Cauchy—Schwarz, gives

The last step uses the exact mean-square calculation

It follows that

Since , integration yields

The origin identities convert the first term into an expression involving the product

The only obstacle is that inversion agrees with conjugation exactly only on the unit circle. The following defect estimate measures the error inside the disk.

Finite-product defect lemma

If , then

When a factor vanishes, the left side is interpreted in the equivalent division-free form

Apply this lemma to the combined family

Here is the substitution in detail. The conjugate of the centroid identity rearranges to

The defect lemma permits to be replaced by and by . The coefficient can only reduce the error, so there is a complex number with

such that

Since , multiplication by gives the useful form

On the other hand, the two origin identities say

and

Consequently

Substitution into the integrated differential inequality therefore gives

For ,

The second inequality is equivalent to positivity of

Its discriminant is negative for , so the quadratic is positive for every real . If

then and

Thus replacing by can only increase this part of the right side, and the preceding inequality implies

Finally, for ,

For

the real part

is at least , while the imaginary part is . Hence

Insert this bound above, cancel , and multiply by . Since , one obtains the raw origin inequality

This estimate has two useful consequences.

A Uniform Bound on the Boundary Scale

Boundary-scale bound

Every hypothetical counterexample with satisfies

Assume . Since , this forces and . The quadratic has derivative and its minimum at . On , convexity places its graph below the chord joining to the minimum, so

If , then is increasing on and hence there; if , this second interval is empty. Therefore

The two polar bounds imply

Indeed, and the logarithmic polar bound gives

Also, and imply

Put

Then

Discarding the nonnegative term from the left side of the raw origin inequality, inserting the integral bound, and dividing by gives

For completeness, the function

has logarithmic derivative

It has a unique positive critical point

which is its maximum. Elementary enclosures for give

The remaining factors are largest at and : and decrease with , while decreases for . Consequently the right side is at most

contradicting the left side .

A Scalar Form of the Origin Inequality

Put . The decomposition

has two nonnegative terms because . Since , the mean value theorem gives

The first term is integrated by extending the interval from to . With ,

Thus the raw origin inequality implies

Use also

The three displayed relations follow respectively from , from , and from the definitions of and . Substitute them into the preceding inequality, move to the right, and divide by to obtain

🏷️ Incompatibility of the Two Channels

For fixed , use

to regard

as a function of . It is nondecreasing in for every , and every other occurrence of on the right side of the scalar origin inequality is also increasing on . The polar constraint therefore permits the replacement

Set

and

The inequality gives , because its first two terms have difference greater than while . Moreover gives , and gives . Hence

Every counterexample of degree would therefore satisfy

and

where

The remaining assertion is purely real and one-dimensional:

throughout the feasible set. All polynomial zero geometry has disappeared.

An Elementary Large-Degree Estimate

The blog gives a short closure for . On , one has and therefore

Here follows from . After its vertex , the quadratic increases, so its maximum before is

If the vertex lies beyond , the second interval is simply empty. Thus

Consequently,

For and ,

Indeed, increases with , so it suffices to take . The derivative of is then

which is negative because the quadratic numerator has discriminant . The minimum occurs at , where

It follows that

Every -dependent term decreases for . For the polynomial tail this follows from

and for the exponential tail from

At , the rational estimate gives

This contradicts for all .

The Finite Exact Check

The bounded range is not settled in the blog by a single displayed hand inequality. The computation is nevertheless exact and algebraic rather than floating-point evidence. The key observations are

and, by convexity with and ,

For an integer , the moment is the exact finite sum

For even , this is the required integral with . For odd , put . For every rational , the square gives the tangent bound

and hence

The current certificate construction takes , so the odd moment is bounded by

This is sharper than the universal choice , particularly in degree five. Thus each fixed degree reduces to a rational inequality in . After moving everything to the left and clearing a known positive denominator, write the desired inequality as .

On a rational interval , write

The Bernstein basis is nonnegative and sums to one on . Hence

All endpoints and coefficients are rational, so this is an exact certificate, not a sampling argument. The relevant interval can be taken as

the feasibility hypothesis guarantees . The generator may discover the coefficients, but a checker must re-establish both the polynomial identity and the strict positivity of every coefficient using exact integer or rational arithmetic.

Tao’s original blog split used a finite check through degree and the elementary estimate above afterward. The current companion repository improves the division of labor: rational Bernstein certificates handle degrees through , while a sharper uniform analytic tail begins at degree (Tao, 2026b). Here “analytic tail” means uniform in , not entirely computation-free: its final one-variable endpoint estimate is also closed by one exact rational Bernstein certificate. The public documentation records that the odd-degree path uses the tangent parameter and that no floating-point number is a proof input. The original Mazur proof uses a different scalar reduction and different exact certificate objects (Mazur, 2026).

RegimeClosure of the argument
the weighted AM—GM hand proof below
exact rational Bernstein certificates; degree five is an intentional overlap
a uniform analytic reduction and one exact rational endpoint certificate
the hand proof of the Rubinstein equality case

Meaning of “elementary”

The structural proof uses polynomial factorization, a disk Möbius map, AM—GM, Cauchy—Schwarz, Maclaurin’s inequality, elementary calculus, and power-series positivity. It does not use contour integration, potential theory, or the asymptotic machinery of earlier high-degree proofs. It is therefore elementary in method. The currently documented proof is still computer-assisted because a finite family of large rational positivity certificates is part of the closure.

🏷️ Degrees Two Through Five

The low degrees do not require the origin channel. From the polar lower bound and ,

Put . A direct calculation gives

One can obtain the factorization by first writing

and then clearing the positive factor .

The last factor is positive because

For , put . Weighted AM—GM applied to the two nonnegative numbers and gives pointwise

After integration,

contradicting the polar lower bound. This proves the interior statement for .

No estimate is being used; indeed can exceed one. The strictness comes only from the exact integral of and from .

🏷️ Boundary Zeroes and the Equality Case

It remains to treat . Rotate so that , and assume no critical point lies at distance strictly less than one from . Then , so the distinguished zero is simple and none of the remaining zeroes equals . Again write the critical points as

The polar identity degenerates because the reflected point coincides with . Its replacement comes from . If

then

On the critical-point side,

gives

Equating these expressions gives the Meir—Sharma identity

For and ,

The real part of the right side is therefore at least , while

Because the two sides are equal, both real-part bounds must be equalities. Each number is nonnegative and their sum is zero, so for every . Together with , this forces . Every critical point is therefore , and

Since ,

Undoing the rotation gives for an arbitrary boundary zero . This is Rubinstein’s equality classification (Rubinstein, 1968); the short reciprocal proof is also implicit in the translated identity used by Tang and Zhang (Tang & Zhang, 2025). Together with the strict interior result, it proves Phelps—Rodriguez and hence Sendov.

🏷️ Structural Interpretation

The proof can be compressed into the following chain:

The unexpected feature is the amount of slack. The proof discards almost all information determining critical points from zeroes, enlarging the apparent degrees of freedom, yet the surviving constraints are already incompatible. Maclaurin’s inequality is the compression mechanism: a codimension-one symmetric sum of factors is controlled by the single quadratic statistic . The defect lemma then quantifies how far inversion inside the disk deviates from conjugation on its boundary.

This explains both why the proof is elementary and why it was difficult to find. The hard step was not deploying a powerful theorem; it was selecting the reciprocal critical coordinates, the polar evaluation , the two origin evaluations, and the correct two real summary statistics. Once those choices are made, the remaining proof has considerable numerical room except in the narrow boundary layer .

See Also

  • on random polynomial zeros --- contrasts the deterministic geometry linking zeroes and critical points here with probabilistic zero statistics and local first-zero certificates.
  • on two proofs of Crouzeix’s conjecture --- another 2026 resolution in complex analysis where the decisive advance is preserving a small amount of structure that earlier norm reductions discarded.

📚 References

🐻  Brown, J.E. & Xiang, G. 1999. Proof of the Sendov Conjecture for Polynomials of Degree at Most Eight. Journal of Mathematical Analysis and Applications 232(2), 272–292.
🐻  Hayman, W.K. 1967. Research Problems in Function Theory, London: Athlone Press,p.
🐻  Mazur, L. 2026. A Computer-Assisted Proof of Sendov’s Conjecture.
🐻  Phelps, D. & Rodriguez, R.S. 1972. Some Properties of Extremal Polynomials for the Ilieff Conjecture. Kodai Mathematical Seminar Reports 24, 172–175.
🐻  Rubinstein, Z. 1968. On a Problem of Ilyeff. Pacific Journal of Mathematics 26, 159–161.
🐻  Tang, Q. & Zhang, T. 2025. Sharp Schoenberg Type Inequalities and the de Bruin–Sharma Problem.
🐻  Tao, T. 2022. Sendov’s Conjecture for Sufficiently-High-Degree Polynomials. Acta Mathematica 229(2), 347–392.
🐻  Tao, T. 2026a. A Digestion of the Proof of Sendov’s Conjecture.
🐻  Tao, T. 2026b. Sendov’s Conjecture in Lean.