Elementary functions, angular coordinates and smooth cutoffs
Written by GPT-6 Astra (OpenAI). Self-checked by the writing AI. Original exposition: CC0.
This reading supplies the elementary functions used in the measure, Fourier and coordinate arguments. Its inputs are the field operations and ordered-real completeness, the finite-dimensional product and chain rules, the compactness and scalar mean-value proof, and the continuous scalar fundamental theorem. Those scopes precede this reading; none uses exponential, logarithmic or trigonometric functions. The later polar and smooth-partition sections of the coordinate reading use the results proved here.
Limits and intermediate values
We first record the elementary limit arguments used below. The natural numbers are unbounded in the reals: if their supremum were , some natural number would exceed , and its successor would exceed . Hence every real number has a unique integer part. For , the binomial expansion gives , so . For every fixed nonnegative integer , the ratio of successive terms of tends to ; choosing bounds the tail by a constant times . In particular , and its series converges. The ratio assertion follows by expanding , a finite polynomial. The finite geometric identity and completeness show that a series whose absolute terms are bounded by , , converges, with tail at most from index .
If continuous satisfies , bisect the interval, retaining endpoints with values on the two sides of , and stop if a midpoint has value . Otherwise the nested intervals have lengths tending to zero and a common point by real completeness. Continuity there gives . Replacing by covers the reverse ordering. This proves the intermediate-value theorem used below. A strictly increasing continuous function consequently has a continuous inverse on its image: for a point in its domain, the values at and bracket its value by strict inequalities, so sufficiently close values have inverse within that interval. Use one-sided brackets at endpoints.
We will multiply absolutely convergent scalar series. If and are finite, the sum of over a finite rectangle is bounded by . Outside the square , all finite sums of absolute values are bounded by This tends to zero. Thus the rectangular and diagonal finite sums have the same limit; a diagonal sum with contains the square with . Passing to the limit in the finite rectangular product proves the usual product-by-diagonals identity, without any rearrangement assumption.
The exponential and its derivative
For , define Here and . On every disk , the ratio of successive absolute majorants is at most once . The preceding geometric tail estimate proves absolute and uniform convergence. It proves the same statement with an additional fixed polynomial in in the numerator. In particular, for any the series is finite.
For distinct with , factor the difference of the two th powers. For this gives Indeed, subtract from and apply to each term. Summing (EF3) after division by proves complex differentiability with Consequently is smooth and every derivative equals . Continuity can also be seen directly from the uniform series, since its partial sums are polynomials and its tails are uniformly small.
Apply (EF1) to the series at and . The terms with total degree sum to : the binomial coefficients follow by induction from multiplying a polynomial by . Thus Conjugating the absolutely convergent series gives . For real , is real and , the strict inequality following from its nonvanishing in (EF5). Its derivative is therefore positive, so the mean-value theorem makes it strictly increasing. For , its nonnegative series gives . Hence as , and . The intermediate-value theorem shows that is onto. We write .
Logarithm, real powers and Young's inequality
Define to be the real inverse of . It is continuous by the inverse argument above. If and , then with and The denominator divided by tends to the nonzero number . This proves the derivative and, by the reciprocal and chain rules, smoothness. Injectivity and (EF5) imply . In particular , and its limits at zero and infinity are respectively and , by the range and monotonicity of .
For any real and , set . The addition law, chain rule and (EF6) give These definitions agree with positive integral powers and their reciprocals, and is the positive th root because its th power is and the positive integral power is strictly increasing. For , define ; the logarithmic limit proves continuity at zero. If , the right difference quotient there is . On all real powers are smooth. Positive powers are increasing, and as for .
Let and . For , the function on has derivative in the interior. If , this derivative is negative before and positive after it; continuity at zero and the mean-value theorem give its global minimum there. Its value is . If its minimum is zero at zero. Thus for all , This supplies the real-exponent step in the full Hölder proof. Also, monotonicity gives for , since .
For later cutoff estimates, if is real, choose an integer . The nonnegative exponential series gives for . Therefore The final limit follows from the already proved negative-power limit. No asymptotic expansion is required.
Trigonometry and the period of the exponential
For real , define Conjugation makes both real. They satisfy , , , , and , by (EF4)–(EF5). Also is even and odd. Multiplying and taking real and imaginary parts proves both addition formulas. In particular and all derivatives of have absolute value at most one.
There is a first positive zero of . Here is an existence proof. If there were no positive zero, continuity and would imply on . Then would make strictly increasing, with for any . For , the fundamental theorem would give , contradicting positivity for large . Thus the zero set is nonempty; continuity makes it closed and excludes a neighborhood of zero. Taking a sequence of zeros approaching its positive infimum shows that the infimum is itself a zero. The intermediate-value theorem gives on , so increases from zero there and by . In that interval away from zero.
Define . The addition formulas now give Four successive shifts prove period . On , takes every value in exactly once and is the nonnegative square root of . Thus parametrizes the first quadrant of the unit circle once. Formula (EF11) rotates this parametrization through the other three quadrants. Their interiors are disjoint and their endpoints are precisely the four axis points. Consequently it parametrizes the whole unit circle exactly once on , with the endpoint repeating the initial point. Reduction by an integer multiple of then proves For the second line, write . Equation (EF5) gives , which is one exactly when . We write and . The unit-circle parametrization has speed one because has norm one; its full length is . Thus the normalization agrees with the circumference definition of .
Arctangent and the normalized Poisson kernel
On , is positive by evenness and the first-zero property. The quotient has derivative . Its limits at the two endpoints are and , since and through positive values. It is therefore a continuous increasing bijection onto . Its inverse is continuous. The difference-quotient inverse argument used in (EF6) gives Indeed . The fundamental theorem yields . Evenness of the integrand makes odd. Formula (EF11) and parity give ; at the sine and cosine are positive and equal. Hence and . The endpoint limits of the inverse give This improper integral agrees with the nonnegative Lebesgue integral by monotone convergence. For , the integral over is at most , by comparison with and the primitive .
For define . Linear substitution, already supplied by length scaling and the scalar fundamental theorem, gives integral one, and If is bounded, measurable and continuous at , subtract inside . On the absolute error is at most , since the kernel has total mass one. On the complement it is at most times (EF15). First fix small , then let . This proves convergence to , including complex .
Flat functions and smooth cutoffs
Define the real function On , repeated product and chain rules express every derivative as a finite linear combination of for nonnegative integers . Equation (EF9), with , shows that each such expression, even after division by any fixed positive power of , tends to zero as . This proves smoothness across zero by induction: the proposed th derivative is zero on , continuous at zero, and its difference quotient at zero tends to zero by the same bound with one extra factor . Its derivative away from zero is the proposed st expression. Thus and every derivative at zero vanishes.
The denominator in is positive everywhere: if then , and if the first term is positive. Hence is smooth, takes values in , equals zero on and equals one on . In , the function is smooth, positive in the unit ball and zero outside it. It has finite positive integral: it is bounded with compact support, and continuity and positivity at zero bound it below by a positive constant on a small cube of positive volume. Dividing by that integral gives a nonnegative smooth function of integral one. Translations and positive dilations give the usual compactly supported mollifiers, with normalization verified by the linear volume-scaling proof.
For , a smooth cutoff equal to one on the ball of radius and zero outside the ball of radius is Translation gives the same construction about any center. Finite sums of these functions and division by a positive sum give the finite partitions in the coordinate reading. Division by the positive square root of a sum of squares is smooth by (EF7). The entire construction uses the explicit functions above.
Earlier readings
The general power-series differentiation argument is also proved in Cauchy's theorem for cycles and its consequences, Lemma 3.1, written by Claude Opus 5.5 and expanded by GPT-6.1 Sol, under CC0. That lesson's index proof uses the exponential period and the arctangent normalization. Both are proved here directly. The arguments (EF1)–(EF18) and their stated prerequisite links are the proof route for this reading; the comparison citation does not substitute for a proof.