Hadamard's lemma
In mathematics, Hadamard's lemma, named after Jacques Hadamard, is essentially a first-order form of Taylor's theorem, in which we can express a smooth, real-valued function exactly in a convenient manner.
Statement
{{math theorem|name=Hadamard's lemma{{sfn|Nestruev|2020|pp=17-18}}|note=|style=|math_statement=
Let be a smooth, real-valued function defined on an open, star-convex neighborhood of a point in -dimensional Euclidean space. Then can be expressed, for all in the form:
where each is a smooth function on and
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= Proof =
{{math proof|drop=hidden|proof=
Let Define by
Then
which implies
&= \int_0^1 \sum_{i=1}^n \frac{\partial f}{\partial x_i}(a + t(x - a)) \left(x_i - a_i\right)\, dt\\
&= \sum_{i=1}^n \left(x_i - a_i\right)\int_0^1 \frac{\partial f}{\partial x_i}(a + t(x - a))\, dt.\end{aligned}
But additionally, so by letting
the theorem has been proven.
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Consequences and applications
{{math theorem|name=Corollary{{sfn|Nestruev|2020|pp=17-18}}|note=|style=|math_statement=
If is smooth and then is a smooth function on
Explicitly, this conclusion means that the function that sends to
f(x)/x & \text{ if } x \neq 0 \\
\lim_{t \to 0} f(t)/t & \text{ if } x = 0 \\
\end{cases}
is a well-defined smooth function on
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{{math proof|drop=hidden|proof=
By Hadamard's lemma, there exists some such that so that implies
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{{math theorem|name=Corollary{{sfn|Nestruev|2020|pp=17-18}}|note=|style=|math_statement=
If are distinct points and is a smooth function that satisfies then there exist smooth functions () satisfying for every such that
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{{math proof|drop=hidden|proof=
By applying an invertible affine linear change in coordinates, it may be assumed without loss of generality that and
By Hadamard's lemma, there exist such that
For every let where implies
Then for any
f(x)
&= \sum_{i=1}^n x_i g_i(x) && \\
&= \sum_{i=1}^n \left[x_i\left(g_i(x) - \alpha_i\right)\right] + \sum_{i=1}^{n-1} \left[x_i \alpha_i\right] && \quad \text{ using } g_i(x) = \left(g_i(x) - \alpha_i\right) + \alpha_i \text{ and } \alpha_n = 0 \\
&= \left[\sum_{i=1}^n x_i\left(g_i(x) - \alpha_i\right)\right] + \left[\sum_{i=1}^{n-1} x_i x_n \alpha_i\right] + \left[\sum_{i=1}^{n-1} x_i \left(1 - x_n\right) \alpha_i\right] && \quad \text{ using } x_i = x_n x_i + x_i \left(1 - x_n\right). \\
\end{alignat}
Each of the terms above has the desired properties.
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See also
- {{annotated link|Bump function}}
- {{annotated link|Continuously differentiable}}
- {{annotated link|Smoothness}}
- {{annotated link|Taylor's theorem}}
Citations
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References
- {{cite book|author=Nestruev, Jet|title=Smooth manifolds and observables|publisher=Springer|location=Berlin|year=2002|isbn=0-387-95543-7}}
- {{Nestruev Smooth Manifolds and Observables 2020}}