Infinitely smooth transition function #
In this file we construct two infinitely smooth functions with properties that an analytic function cannot have:
expNegInvGlueis equal to zero forx ≤ 0and is strictly positive otherwise; it is given byx ↦ exp (-1/x)forx > 0;Real.smoothTransitionis equal to zero forx ≤ 0and is equal to one forx ≥ 1; it is given byexpNegInvGlue x / (expNegInvGlue x + expNegInvGlue (1 - x));
expNegInvGlue is the real function given by x ↦ exp (-1/x) for x > 0 and 0
for x ≤ 0. It is a basic building block to construct smooth partitions of unity. Its main property
is that it vanishes for x ≤ 0, it is positive for x > 0, and the junction between the two
behaviors is flat enough to retain smoothness. The fact that this function is C^∞ is proved in
expNegInvGlue.contDiff.
Instances For
The function expNegInvGlue vanishes on (-∞, 0].
The function expNegInvGlue is positive on (0, +∞).
The function expNegInvGlue is nonnegative.
Smoothness of expNegInvGlue #
In this section we prove that the function f = expNegInvGlue is infinitely smooth. To do
this, we show that $g_p(x)=p(x^{-1})f(x)$ is infinitely smooth for any polynomial p with real
coefficients. First we show that $g_p(x)$ tends to zero at zero, then we show that it is
differentiable with derivative $g_p'=g_{x^2(p-p')}$. Finally, we prove smoothness of $g_p$ by
induction, then deduce smoothness of $f$ by setting $p=1$.
Our function tends to zero at zero faster than any $P(x^{-1})$, $P∈ℝ[X]$, tends to infinity.
The function expNegInvGlue is smooth.
An infinitely smooth function f : ℝ → ℝ such that f x = 0 for x ≤ 0,
f x = 1 for 1 ≤ x, and 0 < f x < 1 for 0 < x < 1.
Equations
- x.smoothTransition = expNegInvGlue x / (expNegInvGlue x + expNegInvGlue (1 - x))
Instances For
Since Real.smoothTransition is constant on $(-∞, 0]$ and $[1, ∞)$, applying it to the
projection of x : ℝ to $[0, 1]$ gives the same result as applying it to x.