[proofplan]
We prove the estimate directly from the definitions of the supremum norm and the Hölder seminorm. For two points $x,y\in X$, we split the product difference into one term measuring the oscillation of $g$ and one term measuring the oscillation of $f$. The supremum norms control the non-oscillating factors, and taking the supremum over distinct pairs gives the desired seminorm bound. Boundedness of the pointwise product follows from boundedness of $f$ and $g$, so the product belongs to the same Hölder space.
[/proofplan]
custom_env
admin
[step:Define the product and verify boundedness]
Define the pointwise product map $h:X\to\mathbb R$ by
\begin{align*}
h(x)=f(x)g(x).
\end{align*}
Since $f,g\in C^{0,\gamma}(X;\mathbb R)$, the functions $f$ and $g$ are bounded on $X$. Thus their supremum norms
\begin{align*}
\|f\|_\infty=\sup_{x\in X}|f(x)|,\qquad \|g\|_\infty=\sup_{x\in X}|g(x)|
\end{align*}
are finite. For every $x\in X$, the absolute value on $\mathbb R$ is multiplicative, so
\begin{align*}
|h(x)|=|f(x)g(x)|=|f(x)|\,|g(x)|\le \|f\|_\infty\|g\|_\infty.
\end{align*}
Taking the supremum over $x\in X$ gives
\begin{align*}
\|h\|_\infty\le \|f\|_\infty\|g\|_\infty<\infty.
\end{align*}
Hence $h$ is bounded on $X$.
[/step]
custom_env
admin
[step:Split the product difference into two Hölder-controlled terms]Let $x,y\in X$ with $x\ne y$. Using addition and subtraction of the intermediate scalar $f(x)g(y)$, we obtain
\begin{align*}
h(x)-h(y)=f(x)g(x)-f(y)g(y)=f(x)(g(x)-g(y))+g(y)(f(x)-f(y)).
\end{align*}
Taking absolute values and applying the triangle inequality in $\mathbb R$ gives
\begin{align*}
|h(x)-h(y)|\le |f(x)|\,|g(x)-g(y)|+|g(y)|\,|f(x)-f(y)|.
\end{align*}
By the definition of the supremum norm and the Hölder seminorm,
\begin{align*}
|f(x)|\le \|f\|_\infty,\qquad |g(y)|\le \|g\|_\infty,
\end{align*}
and
\begin{align*}
|g(x)-g(y)|\le [g]_{C^{0,\gamma}(X)}|x-y|^\gamma,\qquad |f(x)-f(y)|\le [f]_{C^{0,\gamma}(X)}|x-y|^\gamma.
\end{align*}
Substituting these four bounds into the previous inequality yields
\begin{align*}
|h(x)-h(y)|\le \left(\|f\|_\infty [g]_{C^{0,\gamma}(X)}+\|g\|_\infty [f]_{C^{0,\gamma}(X)}\right)|x-y|^\gamma.
\end{align*}[/step]
custom_env
admin
[guided]We want to estimate the Hölder seminorm of the product $h=fg$, so we must control the quotient
\begin{align*}
\frac{|h(x)-h(y)|}{|x-y|^\gamma}
\end{align*}
for arbitrary distinct points $x,y\in X$. The basic difficulty is that $h(x)-h(y)$ contains two functions varying at once. We separate these variations by adding and subtracting $f(x)g(y)$:
\begin{align*}
h(x)-h(y)=f(x)g(x)-f(y)g(y)=f(x)g(x)-f(x)g(y)+f(x)g(y)-f(y)g(y).
\end{align*}
Factoring each pair gives
\begin{align*}
h(x)-h(y)=f(x)(g(x)-g(y))+g(y)(f(x)-f(y)).
\end{align*}
This identity isolates the oscillation of $g$ in the first term and the oscillation of $f$ in the second term. Applying the triangle inequality for [real numbers](/page/Real%20Numbers) gives
\begin{align*}
|h(x)-h(y)|\le |f(x)|\,|g(x)-g(y)|+|g(y)|\,|f(x)-f(y)|.
\end{align*}
Now the non-oscillating factors are controlled by the supremum norms:
\begin{align*}
|f(x)|\le \|f\|_\infty,\qquad |g(y)|\le \|g\|_\infty.
\end{align*}
The oscillating factors are controlled by the Hölder seminorms, because $f,g\in C^{0,\gamma}(X;\mathbb R)$:
\begin{align*}
|g(x)-g(y)|\le [g]_{C^{0,\gamma}(X)}|x-y|^\gamma,\qquad |f(x)-f(y)|\le [f]_{C^{0,\gamma}(X)}|x-y|^\gamma.
\end{align*}
Combining these estimates gives
\begin{align*}
|h(x)-h(y)|\le \|f\|_\infty [g]_{C^{0,\gamma}(X)}|x-y|^\gamma+\|g\|_\infty [f]_{C^{0,\gamma}(X)}|x-y|^\gamma.
\end{align*}
Factoring out $|x-y|^\gamma$ yields
\begin{align*}
|h(x)-h(y)|\le \left(\|f\|_\infty [g]_{C^{0,\gamma}(X)}+\|g\|_\infty [f]_{C^{0,\gamma}(X)}\right)|x-y|^\gamma.
\end{align*}
This is exactly the pointwise Hölder estimate needed before taking the supremum over all distinct pairs.[/guided]
custom_env
admin
[step:Take the supremum over distinct pairs]
For every $x,y\in X$ with $x\ne y$, the Euclidean distance satisfies $|x-y|>0$. Dividing the estimate from the previous step by $|x-y|^\gamma$ gives
\begin{align*}
\frac{|h(x)-h(y)|}{|x-y|^\gamma}\le \|f\|_\infty [g]_{C^{0,\gamma}(X)}+\|g\|_\infty [f]_{C^{0,\gamma}(X)}.
\end{align*}
Taking the supremum over all distinct $x,y\in X$ gives
\begin{align*}
[h]_{C^{0,\gamma}(X)}\le \|f\|_\infty [g]_{C^{0,\gamma}(X)}+\|g\|_\infty [f]_{C^{0,\gamma}(X)}.
\end{align*}
The right-hand side is finite because $f,g\in C^{0,\gamma}(X;\mathbb R)$. Together with the boundedness of $h$ proved above, this shows $h\in C^{0,\gamma}(X;\mathbb R)$. Since $h=fg$, the claimed estimate follows.
[/step]