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Unit triangular coefficient transport

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D.3 Unit triangular coefficient transport

The examples later in the paper use different kernels, but their coefficient algebra has one common form. This section records that form once. Let \(R\) be a commutative algebra over \({\mathbb Q}\), and take all coefficients in \(R\).

Let

\[ H(t)=\sum_{r\geq0}h_r\frac{t^r}{r!}, \qquad h_0=1. \]

There is a unique inverse

\[ K(t)=H(t)^{-1} =\sum_{r\geq0}k_r\frac{t^r}{r!}. \]

Historical theorem D.16: Exact coefficient transport

Let

\[ A(t)=\sum_{n\geq0}A_n\frac{t^n}{n!}, \qquad S(t)=H(t)A(t). \]

Then

\[ \boxed{ S_n = \sum_{r=0}^{n} \binom nr h_rA_{n-r}. } \]

The inverse coordinate formula is

\[ \boxed{ A_n = \sum_{r=0}^{n} \binom nr k_rS_{n-r}. } \]

Both transforms are lower triangular with diagonal one.

Proof

The first identity is the coefficient rule for the product of exponential generating functions. Multiply by \(K(t)\) and use \(K(t)H(t)=1\) for the inverse identity. The diagonal coefficient in each transform is the constant coefficient of its kernel, which is one.

Historical corollary D.17: Composition of coefficient transports

If \(U_H\) and \(U_G\) are the triangular transforms associated with unit kernels \(H\) and \(G\), then

\[ \boxed{ U_HU_G=U_{HG}. } \]

In particular, the inverse of \(U_H\) is \(U_{H^{-1}}\).

Proof

Multiplication by \(G\), followed by multiplication by \(H\), is multiplication by \(HG\).

Historical theorem D.18: Filtered triangular reconstruction

Let \(p\) be prime. Suppose

\[ A_n = \sum_{r=0}^{n} \binom nr c_rp^{w(r)}S_{n-r}, \]

where \(c_r\in{\mathbb Z_p}\), \(S_n\in{\mathbb Z_p}\), and

\[ w(r)\in{\mathbb N}. \]

For every precision \(L\geq1\),

\[ \boxed{ A_n \equiv \sum_{\substack{0\leq r\leq n\\w(r)<L}} \binom nr c_rp^{w(r)}S_{n-r} \pmod {p^L}. } \]

When the omitted set is nonempty, the tail has valuation at least

\[ \boxed{ \min_{\substack{0\leq r\leq n\\w(r)\geq L}} \left( w(r)+{v_p}\binom nr+{v_p}(S_{n-r}) \right). } \]

Proof

Every omitted summand belongs to \(p^L{\mathbb Z_p}\). The sharper statement follows by taking the minimum of the exact lower bounds for the summands and applying the nonarchimedean triangle inequality.

Historical remark D.19

An arbitrary invertible triangular matrix can encode an arbitrary sequence. The transforms retained here have an explicit generating kernel and a visible filtration. Those two features make exact inversion and uniform truncation possible.

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