帕塞瓦尔定理
在数学中,帕塞瓦尔定理经常指“傅里叶转换是幺正算符”这一结论;简而言之,就是说函数平方的和(或积分)等于其傅里叶转换式平方之和(或者积分)。这个定理产生于Marc-Antoine Parseval在1799年所得到的一个有关级数的定理,该定理随后被应用于傅里叶级数。它也被称为瑞利能量定理或瑞利恒等式,以物理学家约翰·斯特拉特,第三代瑞利男爵命名。
虽说帕塞瓦尔定理这一术语常用来描述任何傅里叶转换的幺正性,尤其是在物理学和工程学上,但这种属性最一般的形式还是称为Plancherel theorem而不是帕塞瓦尔定理才更合适。
目录 |
帕塞瓦尔定理的陈述[编辑]
假定A(x)和B(x)都是平方可积的(参照勒贝格测度)复变函数,且定义在R上周期为2π的区间上,分别写成傅里叶级数的形式:
和
然后
这里的i是虚数单位而上划线(horizontal bars)表示复共轭运算。
More generally, given an abelian topological group G with Pontryagin dual G^, Parseval's theorem says the Pontryagin–Fourier transform is a unitary operator between Hilbert spaces L2(G) and L2(G^) (with integration being against the appropriately scaled Haar measures on the two groups.) When G is the unit circle T, G^ is the integers and this is the case discussed above. When G is the real line R, G^ is also R and the unitary transform is the Fourier transform on the real line. When G is the cyclic group Zn, again it is self-dual and the Pontryagin–Fourier transform is what is called discrete-time Fourier transform in applied contexts.
物理学和工程学上使用的记号[编辑]
In physics and engineering, Parseval's theorem is often written as:
where
represents the continuous Fourier transform (in normalized, unitary form) of x(t) and f represents the frequency component (not angular frequency) of x.
The interpretation of this form of the theorem is that the total energy contained in a waveform x(t) summed across all of time t is equal to the total energy of the waveform's Fourier Transform X(f) summed across all of its frequency components f.
For discrete time signals, the theorem becomes:
where X is the discrete-time Fourier transform (DTFT) of x and Φ represents the angular frequency (in radians per sample) of x.
Alternatively, for the discrete Fourier transform (DFT), the relation becomes:
where X[k] is the DFT of x[n], both of length N.




![\sum_{n=-\infty}^\infty | x[n] |^2 = \frac{1}{2\pi} \int_{-\pi}^\pi | X(e^{i\phi}) |^2 d\phi](http://upload.wikimedia.org/math/1/7/4/1747ac6e2c1bfde886693070da5c84c4.png)
![\sum_{n=0}^{N-1} | x[n] |^2 = \frac{1}{N} \sum_{k=0}^{N-1} | X[k] |^2](http://upload.wikimedia.org/math/d/d/3/dd3e997e03ee61f3c43c2e96731deb83.png)