A Gaussian function has the form with . Its integral and moments reduce by translation and scaling to the Gaussian integral.
Multiply the two exponential series in to obtain the displayed Taylor expansion. Its first three nonzero terms depend on the real parameter . For , they end at degree two. At , odd coefficients vanish and the first three terms are . At , the quadratic coefficient vanishes, leaving as the first three nonzero terms. Parameter-dependent vanishing coefficients must be checked when a question counts nonzero terms rather than prescribing an expansion order.
For every fixed , choose an integer . The positive exponential series gives , so . Equivalently, as .
For fixed , and , complete the square in the exponent. A translated Gaussian function summed on a fixed-spaced lattice has mass uniformly in the translate, by comparison with its integral and its maximum. This keeps a square-root logarithm, rather than the full number of dyadic intervals, when summing exponentially damped exponential sum bounds.
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The Gaussian function is a specific type of mathematical function that describes a symmetrical, bell-shaped curve. It is often used in statistics, probability, and various fields of science for modeling normal distributions, among other applications.