The Fourier series $\sum_{n\in\mathbb Z\setminus \{0\}} \frac{\cos(2\pi n t)}{n^4}$ converges on $[0,1]$ to $-\frac{2^4}{4!}\pi^4B_4(t)$, where $B_4(t)=t^4-2t^3+t^2-1/30$ is the fourth Bernoulli polynomial. Is the function represented on $[0,1]$ by the alternating version $ \sum_{n\in\mathbb Z\setminus \{0\}}(-1)^n \frac{\cos(2\pi n t)}{n^4}$ also a polynomial? It surely consists of a polynomial on $[0,1/2]$ and one on $[1/2,1]$.
2026-02-23 06:39:33.1771828773
The alternating Fourier series associated with the fourth Bernoulli polynomial
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Let $$f_4(t):=\sum_{n>0} 2\frac{\cos(2\pi n t)}{n^4}$$
and
$$g_4(t):=\sum_{n>0} (-1)^n 2\frac{\cos(2\pi n t)}{n^4}$$
You are right: the expression of $g_4(t)$ on $[0,1]$ is the piecewise polynomial
$$\begin{cases}-\frac{2^4}{4!}\pi^4B_4(t+\tfrac12)&\text{for}&0 \le t \le \tfrac12\\ -\frac{2^4}{4!}\pi^4B_4(t-\tfrac12)&\text{for}&\tfrac12 \le t \le 1\end{cases}$$
This is because $$g_4(t)=f_4(t+\tfrac12)\tag{1}$$
due to the fact that:
$$(-1)^n \cos (2 \pi n t) = \cos(2 \pi n t +n \pi)=\cos(2 \pi n( t + \tfrac12))$$
In fact, (1) is not restricted to $t \in [0,1]$. It is valid for any $t$. Here is a graphical verification that can be followed on the Matlab program below:
Fig.1: Top graphics: the initial Fourier series $f$ (in blue) in perfect coincidence with the graphical representation of $B_4(t)$ (red curve) for $t \in [0,1]$ and $B_4(t-1)$ (magenta curve) for $t \in [1,2]$. Bottom graphics: The same for Fourier series $g$ with the $\tfrac12$ shift given by (1) .
Remarks:
$$f_p(t):=\sum_{n>0} 2\frac{\cos(2\pi n t-p \tfrac{\pi}{2})}{n^p}$$