For the general result, choose logarithms of nonzero algebraic numbers and algebraic coefficients , and put
Let
where is the minimal polynomial and its is the naive polynomial height, and let
The general lower bound for a linear form in logarithms states that, if , then
where the effective constant depends only on and the degree of the number field generated by all the data.
For the improved homogeneous result, take and
With the same , after ordering the terms set
The Baker lower bound for a homogeneous linear form in logarithms gives
Both constants are effective. The division by in is the improvement that matters when has variable height.
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Put . It is nonzero by unique prime factorization. If or , the claimed inequality follows immediately after increasing the effective constant. We may therefore assume
which implies .
The Baker lower bound for a homogeneous linear form in logarithms, with the fixed algebraic numbers and , gives
for an effective absolute constant . If , the desired conclusion is again immediate. Otherwise, the mean value theorem applied to the exponential function on gives . Hence
Absorbing the fixed factor into a larger exponent proves .
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Let
Suppose is a perfect power with . The finitely many small can be absorbed into the final effective constant. The Binet formula gives and
Thus, for
the local Lipschitz equivalence of and at zero yields
The form cannot vanish: applying the nontrivial field automorphism of to would give , whose absolute values are incompatible.
Apply the Baker lower bound for a homogeneous linear form in logarithms with the variable-height number placed last. The parameters belonging to and are absolute constants, while . Moreover,
so and therefore . The refined lower bound becomes
Comparison with the exponential upper bound gives . Since tends to infinity, this bounds by an effective absolute constant. Enlarging it to cover the discarded small indices proves the claim.
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Let be a number field. Its places consist of its real embeddings, conjugate pairs of complex embeddings, and the finite places associated with nonzero prime ideals of its ring of integers of a number field. At a real or complex place use the usual absolute value. If lies over the prime number with ramification index , normalize its absolute value by
These normalizations extend the standard absolute values on .
Write for the local degree of a place. Thus is at a real place, at a complex place, and at a finite place. The Absolute multiplicative Weil height is
The product formula shows that this is unchanged when is replaced by a larger number field containing .
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The product formula says that every satisfies
First suppose that is an algebraic integer. Its principal ideal has the prime ideal factorization
Taking the ideal norm gives
On the other hand, the field norm is the product over embeddings, so
Equating these expressions proves the formula for algebraic integers. Every nonzero element of is a quotient of two algebraic integers, and multiplicativity completes the proof.
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For every ,
For , this follows directly from
at each place of a number field. The product formula gives , because
and this handles negative as well.
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If has degree , then at every Archimedean embedding
Indeed, the factor of the defining product belonging to that Archimedean place shows ; using the exact local degree only improves this estimate. This proves the upper bound. Apply it to and use to obtain the lower bound. This is the Liouville height inequality.
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Write for the polynomial length. The height bound for a polynomial evaluation is
provided the denominator is nonzero. At non-Archimedean places the integral coefficients and ultrametric inequality give the local estimate without an extra constant; at Archimedean places the triangle inequality gives the polynomial length. Multiplication over every place of a number field and the product formula produce the displayed bound.
Taking and gives
Taking gives
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For coprime integers with ,
This follows either directly from the real and p-adic absolute values, or from the height-Mahler measure formula applied to the primitive minimal polynomial .
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Choose distinct prime numbers so large that , and set
The fraction is reduced, because neither nor divides . The height of a rational number therefore gives
The choice of proves the required strict inequality.
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For an integer , let be a root of
Its roots are
The polynomial is irreducible over : its discriminant is , and the product of the coprime consecutive integers and cannot be a square unless both are squares, which is impossible for consecutive positive squares beyond .
The height-Mahler measure formula gives
Both algebraic conjugates of exceed , so
Consequently
Fix, for example, . For all sufficiently large , the ratio is larger than by a fixed margin, while . Hence, for every , some sufficiently large satisfies
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For a linear form over a number field , define its height to be the projective height of its coefficient vector:
The product formula makes this independent of multiplying by a nonzero scalar.
The Siegel lemma says the following. Let , let be linear forms in variables with , and suppose for every , where . Then there is a nonzero annihilated by all the forms and satisfying
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Write
so there are unknown integer coefficients. Let be the number of integers with
For each such , impose the linear equation over
where is the normalized derivative of a polynomial. The coefficient of is and that of is . The local definition of projective height, together with , gives
for a constant depending only on .
There are forms over the degree- field , and
Moreover . Applying Siegel lemma gives a nonzero integral coefficient vector with
because the exponent is bounded in terms of and every fixed power of is at most exponential in . These have all the required vanishing normalized derivatives.
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Suppose and were linearly dependent over . Then for some , with the zero-polynomial cases included. Since , , and therefore
If this has multiplicity at , then the minimal polynomial of to the power divides in . Hence .
The construction in part (b) gives
When , this exceeds for all sufficiently large depending only on and , contradicting . Thus are linearly independent.
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The determinant in the hint is independent of and equals the Wronskian
It is nonzero because are linearly independent. Also , and coefficient convolution gives
for a constant depending only on .
Fix , and suppose has multiplicity at . In
the two terms vanish to orders at least and , so has multiplicity at least at . The primitive polynomial therefore divides in by Gauss lemma for polynomials. Comparing leading coefficients gives
If , this implies and hence . Choosing larger than this bound proves that , uniformly in .
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It is enough to prove the result for , since a construction for a smaller positive value gives the weaker vanishing requirement for any larger one. Apply part (b) with . For large , part (c) gives linearly independent polynomials , and
satisfies and has order at least
at after setting .
Set . By the rational multiplicity bound for a linear auxiliary polynomial, once is sufficiently large, the one-variable polynomial has multiplicity at most at . Consequently there is some integer such that
Put . The normalized derivative of a polynomial preserves integral coefficients and multiplies height by at most , so . Differentiation lowers the vanishing order at by at most ; for sufficiently large ,
Finally write by replacing the coefficient of by its negative. Then and all the claimed bounds hold.
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If is nonreal, its positive distance from makes the assertion immediate, so assume . Fix and put
Choose so small that
Suppose for a contradiction that infinitely many reduced fractions satisfy . Their denominators are unbounded.
Choose one such with arbitrarily large, and then a later one with arbitrarily large. Choose the integer so that
Then can be made sufficiently large for part (e). Apply it with . Since has integral coefficients, degree at most in , and degree at most one in , its nonzero rational value satisfies the denominator bound
The supplied upper estimate and the two approximation inequalities give, with ,
Using the upper bound in the denominator estimate and comparing yields
After taking th roots and letting the choice of make large, this bounds by a constant depending only on . That contradicts the ability to choose arbitrarily large. Hence only finitely many such rational approximations exist. This is the Thue-Siegel rational approximation bound.
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