The Plancherel theorem is a fundamental result in harmonic analysis stating that the Fourier transform defines an isometry on the Hilbert space L^2(\mathbb{R}) of square-integrable functions, preserving the L^2 inner product and norm.[1] Specifically, for f, g \in L^2(\mathbb{R}), it asserts that \int_{-\infty}^{\infty} f(x) \overline{g(x)} \, dx = \int_{-\infty}^{\infty} \hat{f}(\xi) \overline{\hat{g}(\xi)} \, d\xi, where \hat{f} and \hat{g} denote the Fourier transforms, and consequently \|f\|_2 = \|\hat{f}\|_2.[2] This identity serves as the continuous analogue of Parseval's theorem for Fourier series on the circle.[1]Proven by Swiss mathematician Michel Plancherel in 1910, the theorem builds on earlier ideas, such as Rayleigh's 1889 application to blackbody radiation, and was later refined with precise conditions by E. C. Titchmarsh in 1924.[2][3] Plancherel, born in 1885 and a professor at ETH Zurich from 1920, contributed significantly to analysis, mathematical physics, and algebra, with this theorem as his most renowned achievement.[3] The proof typically involves density arguments, Fourier inversion, and Fubini's theorem, extending the transform from L^1 \cap L^2 to all of L^2.[1]Beyond its role in establishing the unitarity of the Fourier transform, the Plancherel theorem underpins numerous applications across mathematics and physics. In partial differential equations, it facilitates energy conservation in solutions via Fourier methods.[4] In quantum mechanics, it ensures that wave function normalization in position space matches that in momentum space, preserving total probability under the position-momentum duality.[5] The theorem also extends to more general settings, such as representations of Lie groups and symmetric spaces, enabling spectral decompositions in representation theory.[6]
Introduction
Historical Development
The roots of the Plancherel theorem lie in the late 18th-century study of Fourier series, where Joseph-Louis Lagrange developed early ideas on expanding functions using trigonometric series during his work on vibrating strings and sound propagation in the 1760s and 1770s.[7] These efforts provided foundational concepts for representing functions through sums of sines and cosines in physical contexts, though rigorous convergence issues remained unresolved. Building on this, Marc-Antoine Parseval des Chênes formulated a key identity in 1799 relating the integral of the square of a periodic function to the sum of the squares of its Fourier coefficients, establishing an energy-preserving relation for trigonometric expansions; an improved version appeared in 1801.[8]An early application of a related energy preservation identity appeared in 1889, when Lord Rayleigh used it in his investigation of blackbody radiation.[2]In the early 20th century, the theorem's development advanced with the establishment of rigorous functional analysis tools. The Riesz–Fischer theorem of 1907, proven independently by Frigyes Riesz and Ernst Sigismund Fischer, demonstrated the completeness of the space of square-integrable functions (L²), providing the Hilbert space framework essential for handling Fourier transforms on infinite domains.[9] This result was pivotal as a prerequisite for extending Parseval's identity to continuous spectra.Michel Plancherel established the core result for Fourier transforms on the real line in his 1910 paper "Contribution à l'étude de la représentation d'une fonction arbitraire par des intégrales définies," where he proved the identity for square-integrable functions, generalizing Parseval's theorem to integrals. During the 1910s, G.H. Hardy contributed significantly to the theory of Fourier integrals through works such as his 1911 paper on Fourier's double integral and divergent series, refining convergence properties and analytic techniques that supported Plancherel's framework.[10]In 1924, E. C. Titchmarsh provided refinements, establishing precise conditions under which the theorem holds and extending related results.[2]The identity became widely known as "Plancherel's theorem" in the 1930s, particularly through Antoni Zygmund's seminal 1935 monograph Trigonometrical Series, which integrated and popularized the result within the broader context of harmonic analysis.[11]
Initial Statement for the Real Line
The Plancherel theorem provides the foundational statement for the Fourier transform on the real line, establishing its preservation of the L^2 norm. For a function f \in L^1(\mathbb{R}) \cap L^2(\mathbb{R}), the Fourier transform is defined as\mathcal{F}f(\xi) = \int_{-\infty}^{\infty} f(x) e^{-2\pi i x \xi} \, dx.[12]
This convention places the $2\pi factor within the exponent, ensuring symmetry in the inversion formula without additional normalization constants in the transform itself.[13]The theorem asserts that for any f \in L^2(\mathbb{R}),\int_{-\infty}^{\infty} |f(x)|^2 \, dx = \int_{-\infty}^{\infty} |\mathcal{F}f(\xi)|^2 \, d\xi,known as the Plancherel identity, which equates the L^2 norms of f and its Fourier transform. This extends the discrete Parseval identity to the continuous case and implies that the transform preserves inner products: \langle \mathcal{F}f, \mathcal{F}g \rangle_{L^2} = \langle f, g \rangle_{L^2} for all f, g \in L^2(\mathbb{R}).[12] This identity extends the result from the dense subspace L^1(\mathbb{R}) \cap L^2(\mathbb{R}) to all of L^2(\mathbb{R}) via completion.[14]Moreover, the Fourier transform uniquely extends to a unitary operator on L^2(\mathbb{R}) with respect to the L^2 inner product, meaning it preserves inner products: \langle \mathcal{F}f, \mathcal{F}g \rangle_{L^2} = \langle f, g \rangle_{L^2} for all f, g \in L^2(\mathbb{R}).[14] This unitarity underscores the transform's role as an isometry, confirming that the Plancherel identity holds in the Hilbert space sense.[12]Notation for the Fourier transform varies historically and across fields, particularly in the placement of the $2\pi factor. In some mathematical conventions, the forward transform omits the $2\pi in the exponent and places a $1/(2\pi) factor in the inverse, while engineering contexts often favor the symmetric form with $2\pi in the exponent and no prefactors.[13] These variations, dating back to early 20th-century developments, ensure the Plancherel identity adapts accordingly but maintain the underlying norm preservation.[13]
Core Formulation
Plancherel Identity for L²(ℝ)
The Plancherel identity for L^2(\mathbb{R}) asserts that the Fourier transform \mathcal{F} extends to a unitary operator on this Hilbert space, preserving the inner product: for all f, g \in L^2(\mathbb{R}),\langle f, g \rangle_{L^2(\mathbb{R})} = \langle \mathcal{F} f, \mathcal{F} g \rangle_{L^2(\mathbb{R})}.This implies the norm preservation \|\mathcal{F} f\|_{L^2(\mathbb{R})} = \|f\|_{L^2(\mathbb{R})}.[15][16]Building on the initial statement for the dense subspace L^1(\mathbb{R}) \cap L^2(\mathbb{R}), where the Fourier transform is initially defined and the identity holds, the operator extends uniquely by continuity to all of L^2(\mathbb{R}) as a bounded linear map, and the Plancherel identity follows by density.[16][17]A key consequence is Parseval's relation, obtained as the special case g = f, which equates the L^2 norms squared and underscores energy conservation in the transform domain.[18][1] Additionally, the unitarity of \mathcal{F} ensures the existence of an inverse transform, allowing recovery of f from \mathcal{F} f via a similar integral formula.[17][19]Under the normalization \mathcal{F} f(\xi) = \int_{-\infty}^{\infty} f(x) e^{-2\pi i \xi x} \, dx, the identity takes the explicit form\|f\|_2^2 = \int_{-\infty}^{\infty} |\mathcal{F} f(\xi)|^2 \, d\xi.[20]
Extension to ℝⁿ
The multidimensional Fourier transform extends the one-dimensional case to functions on \mathbb{R}^n, defined for f \in L^1(\mathbb{R}^n) by\mathcal{F}f(\xi) = \int_{\mathbb{R}^n} f(x) e^{-2\pi i x \cdot \xi} \, dx,where x \cdot \xi denotes the standarddot product and the integral is taken with respect to the Lebesgue measure on \mathbb{R}^n.[20][21] This definition applies initially to integrable functions but extends by density to the Schwartz space \mathcal{S}(\mathbb{R}^n) and further to L^2(\mathbb{R}^n).[22]The Plancherel theorem in this setting asserts that the Fourier transform is an isometry on L^2(\mathbb{R}^n): for any f \in L^2(\mathbb{R}^n),\int_{\mathbb{R}^n} |f(x)|^2 \, dx = \int_{\mathbb{R}^n} |\mathcal{F}f(\xi)|^2 \, d\xi,with equality holding almost everywhere with respect to Lebesgue measure.[20][21] This identity preserves the L^2 norm and confirms that \mathcal{F} maps L^2(\mathbb{R}^n) unitarily onto itself.[22]The proof proceeds by exploiting the separability of \mathbb{R}^n as a product space. Specifically, L^2(\mathbb{R}^n) is the tensor product Hilbert space \bigotimes_{k=1}^n L^2(\mathbb{R}), and the multidimensional Fourier transform decomposes into iterated one-dimensional transforms along each coordinate via Fubini's theorem, which justifies interchanging the order of integration.[20][21] Applying the one-dimensional Plancherel identity to each factor and combining the results using the product structure yields the full identity on the dense subspace of Schwartz functions, which then extends by continuity to all of L^2(\mathbb{R}^n).[22]Normalization conventions must align with the one-dimensional case for consistency. The form above uses no additional scaling factor, ensuring the isometry directly; however, some texts incorporate a (2\pi)^{-n/2} prefactor in the transform definition to maintain unitarity explicitly across dimensions.[20][21] This adjustment accounts for the volume growth in higher dimensions while preserving the equality of L^2 norms.[22]
Proof Techniques
Density Argument Using Schwartz Functions
The Schwartz space \mathcal{S}(\mathbb{R}) comprises infinitely differentiable functions f: \mathbb{R} \to \mathbb{C} such that f and all its derivatives decay faster than any polynomial at infinity, i.e., \sup_{x \in \mathbb{R}} |x|^k |f^{(m)}(x)| < \infty for all integers k, m \geq 0. This space forms a dense subspace of L^2(\mathbb{R}) under the L^2 norm, enabling approximations of arbitrary L^2 functions by elements of \mathcal{S}(\mathbb{R}).[23] The Fourier transform \mathcal{F}: L^1(\mathbb{R}) \cap L^2(\mathbb{R}) \to L^2(\mathbb{R}), defined by \hat{f}(\xi) = \int_{\mathbb{R}} f(x) e^{-2\pi i x \xi} \, dx, restricts to a continuous, bijective map \mathcal{F}: \mathcal{S}(\mathbb{R}) \to \mathcal{S}(\mathbb{R}) with continuous inverse given by the inverse Fourier transform.[4]To establish the Plancherel identity on \mathcal{S}(\mathbb{R}), consider the inner product preservation: for f, g \in \mathcal{S}(\mathbb{R}), integration by parts yields \langle \hat{f}, \hat{g} \rangle_{L^2(\mathbb{R})} = \langle f, g \rangle_{L^2(\mathbb{R})}, confirming that \mathcal{F} is an isometry on this space.[1] A concrete verification arises from the Gaussian function f(x) = e^{-\pi x^2}, which belongs to \mathcal{S}(\mathbb{R}) and satisfies \hat{f} = f, hence \|f\|_{L^2(\mathbb{R})} = \|\hat{f}\|_{L^2(\mathbb{R})}.[4] This example illustrates the norm preservation, extendable to all of \mathcal{S}(\mathbb{R}) via the inner product relation.The extension to all of L^2(\mathbb{R}) proceeds by density. For any f \in L^2(\mathbb{R}), there exists a sequence \{\phi_n\}_{n=1}^\infty \subset \mathcal{S}(\mathbb{R}) such that \|\phi_n - f\|_{L^2(\mathbb{R})} \to 0 as n \to \infty. Since \mathcal{F} is an isometry on the dense subspace \mathcal{S}(\mathbb{R}), the sequence \{\hat{\phi}_n\}_{n=1}^\infty is Cauchy in L^2(\mathbb{R}): \|\hat{\phi}_n - \hat{\phi}_m\|_{L^2(\mathbb{R})} = \|\phi_n - \phi_m\|_{L^2(\mathbb{R})} \to 0 as n, m \to \infty. Thus, \hat{\phi}_n converges in L^2(\mathbb{R}) to some g \in L^2(\mathbb{R}).[4]Defining the extension \tilde{\mathcal{F}} f = g, continuity of this operator on L^2(\mathbb{R}) follows from the density approximation, and the Plancherel identity holds: \|\tilde{\mathcal{F}} f\|_{L^2(\mathbb{R})} = \|f\|_{L^2(\mathbb{R})}, for all f \in L^2(\mathbb{R}), as the isometry on the dense set \mathcal{S}(\mathbb{R}) extends uniquely by uniform continuity. This establishes \tilde{\mathcal{F}} as a unitary operator on L^2(\mathbb{R}).[1]
Direct Analytic Proof
The direct analytic proof of the Plancherel theorem establishes the identity for functions in L^1(\mathbb{R}) \cap L^2(\mathbb{R}) by leveraging the Fourier inversion theorem and explicit computations involving approximate identities, with complex analysis employed to evaluate key integrals.Consider functions f, g \in L^1(\mathbb{R}) \cap L^2(\mathbb{R}), where the Fourier transform is defined as \hat{f}(\xi) = \int_{\mathbb{R}} f(x) e^{-i \xi x} \, dx. To derive the Parseval identity \int_{\mathbb{R}} f(x) \overline{g(x)} \, dx = \frac{1}{2\pi} \int_{\mathbb{R}} \hat{f}(\xi) \overline{\hat{g}(\xi)} \, d\xi, form the convolution h = f * \tilde{g}, with \tilde{g}(x) = \overline{g(-x)}. Since f, g \in L^1(\mathbb{R}), h is continuous and belongs to L^1(\mathbb{R}), allowing application of the Fourier inversion formula: h(x) = \frac{1}{2\pi} \int_{\mathbb{R}} \hat{h}(\xi) e^{i x \xi} \, d\xi almost everywhere. Evaluating at x = 0 yields h(0) = \int_{\mathbb{R}} f(y) \overline{g(y)} \, dy = \frac{1}{2\pi} \int_{\mathbb{R}} \hat{h}(\xi) \, d\xi. As \hat{h}(\xi) = \hat{f}(\xi) \overline{\hat{g}(\xi)} by the convolution theorem, the identity follows upon interchanging the order of integration, justified by Fubini's theorem since \hat{f}, \hat{g} \in L^2(\mathbb{R}).[17][24]For the norm equality \|f\|_2^2 = \frac{1}{2\pi} \|\hat{f}\|_2^2, apply the Parseval identity with g = f, or use polarization. To verify the constant and extend within L^1(\mathbb{R}) \cap L^2(\mathbb{R}), approximate f in the L^2-norm by convolutions with approximate identities, such as rectangular kernels k_\lambda(x) = \frac{1}{2\lambda} \chi_{[-\lambda, \lambda]}(x), which converge to the Dirac delta as \lambda \to \infty. The Fourier transform of k_\lambda is the sinc function \hat{k}_\lambda(\xi) = \frac{\sin(\lambda \xi)}{\lambda \xi}, and the L^2-convergence follows from the density of such approximations in L^2(\mathbb{R}). The Plancherel constant is determined by direct computation for the rectangular function itself: \|\chi_{[-a,a]}\|_2^2 = 2a, while \|\widehat{\chi_{[-a,a]}}\|_2^2 = 4 \int_{-\infty}^{\infty} \frac{\sin^2(a \xi)}{\xi^2} \, d\xi = 4\pi a, confirming the factor after rescaling since \frac{1}{2\pi} \cdot 4\pi a = 2a.[16][24]The integral \int_{-\infty}^\infty \frac{\sin^2 \xi}{\xi^2} \, d\xi = \pi is evaluated using contour integration in the complex plane, for example by considering the function (1 - e^{i z})/z^2 over a suitable indented semicircular contour in the upper half-plane and applying the residue theorem, or alternatively by differentiation under the integral sign applied to the Dirichlet integral \int_{-\infty}^{\infty} \frac{\sin \xi}{\xi} \, d\xi = \pi. This confirms the norm equality holds.[24][25]This approach is limited to the real line \mathbb{R} and functions in L^1(\mathbb{R}) \cap L^2(\mathbb{R}); extension to the full L^2(\mathbb{R}) requires a density argument, such as approximating general L^2 functions by those in L^1 \cap L^2 using the completeness of the Hilbert space, highlighting the need for complementary abstract techniques.[16]
Generalizations
Abelian Locally Compact Groups
In the context of harmonic analysis, the Plancherel theorem generalizes to arbitrary locally compact abelian (LCA) groups, abstracting the Fourier transform and its L²-preserving properties from the Euclidean setting. Let G be an LCA group equipped with a left Haar measure \mu, which is a non-zero, positive, σ-finite Borel measure satisfying \mu(aE) = \mu(E) for all a \in G and Borel sets E \subseteq G. The dual group \hat{G} consists of all continuous group homomorphisms \chi: G \to \mathbb{T}, where \mathbb{T} is the circle group of complex numbers with modulus 1; these are the characters of G. By the Pontryagin duality theorem, \hat{G} is also an LCA group, and the duality map G \to \hat{\hat{G}} is a topological isomorphism.The Fourier transform on G is initially defined for functions f \in L^1(G, \mu) \cap L^2(G, \mu) by\mathcal{F}f(\chi) = \int_G f(g) \overline{\chi(g)} \, d\mu(g), \quad \chi \in \hat{G}.This operator extends uniquely to a bounded linear map on all of L^2(G, \mu). There exists a unique (up to positive scalar multiple) Haar measure \nu on \hat{G}, known as the Plancherel measure, such that \mathcal{F} becomes a unitary operator from L^2(G, \mu) onto L^2(\hat{G}, \nu). The Plancherel theorem then asserts the identity\int_G |f(g)|^2 \, d\mu(g) = \int_{\hat{G}} |\mathcal{F}f(\chi)|^2 \, d\nu(\chi)for all f \in L^2(G, \mu), with the normalization chosen so that the constant is 1. This result, establishing the unitarity of the Fourier transform, was proved independently by several authors in the 1940s using integral representations and properties of positive definite functions.[26]The Plancherel measure \nu plays a central role, as it ensures the inversion formula and convolution theorems hold in the L² sense, mirroring the classical case. For compact G, \hat{G} is discrete, and \nu is counting measure, reducing the theorem to the Peter-Weyl theorem for finite-dimensional representations. For discrete G, \hat{G} is compact, and \mu is counting measure. Specific examples illustrate the abstraction: when G = \mathbb{R}, \hat{G} = \mathbb{R}, and \nu(d\xi) = d\xi / (2\pi) (Lebesgue measure scaled), recovering the standard Plancherel identity for the real line. Similarly, for G = \mathbb{Z}, \hat{G} = \mathbb{T} (the torus), \nu is normalized Haar measure on \mathbb{T}, and the theorem yields the Plancherel identity for the discrete Fourier transform on \ell^2(\mathbb{Z}). These cases highlight how the general framework unifies classical Fourier analysis across different group structures.
Non-Abelian Locally Compact Groups
The Plancherel theorem extends to non-abelian locally compact groups G, assuming G is unimodular, second countable, and of type I, through the lens of its irreducible unitary representations. The unitary dual \widehat{G} consists of equivalence classes of irreducible unitary representations \pi: G \to U(\mathcal{H}_\pi), where \mathcal{H}_\pi is the Hilbert space of \pi. The left regular representation of G on L^2(G) decomposes as a direct integral over \widehat{G}: L^2(G) \cong \int^\oplus_{\widehat{G}} \mathcal{H}_\pi \otimes \overline{\mathcal{H}_\pi} \, d\mu(\pi), where \mu is the Plancherel measure on \widehat{G} and \overline{\mathcal{H}_\pi} denotes the conjugate space, equivalent to the space of Hilbert-Schmidt operators on \mathcal{H}_\pi.[27][28]The Fourier transform for functions f \in L^1(G) \cap L^2(G) is defined operator-valuedly by \mathcal{F}f(\pi) = \pi(f) = \int_G f(g) \pi(g) \, dg, where the integral is understood in the weak operator topology and yields a Hilbert-Schmidt operator on \mathcal{H}_\pi. The Plancherel theorem asserts that \|f\|_{L^2(G)}^2 = \int_{\widehat{G}} \|\pi(f)\|_{\mathrm{HS}}^2 \, d\mu(\pi), with \|\cdot\|_{\mathrm{HS}} the Hilbert-Schmidt norm, \|\pi(f)\|_{\mathrm{HS}}^2 = \mathrm{Tr}(|\pi(f)|^2). This identity preserves the L^2-norm under the Fourier transform and identifies \mu uniquely up to scalar multiple as the measure making the decomposition unitary.[27][28]This formulation, central to harmonic analysis on non-commutative groups, recovers the abelian case upon restriction to one-dimensional representations, where \mathcal{H}_\pi \cong \mathbb{C} and the Hilbert-Schmidt norm reduces to the modulus squared. The key result was established by Jacques Dixmier in the 1950s, building on earlier work by Gelfand and Naimark, with a comprehensive treatment in his 1964 monograph on C^*-algebras.[28][27]
Applications and Implications
In Harmonic Analysis
In harmonic analysis, the Plancherel theorem provides a foundational spectral decomposition of the Hilbert space L^2(G) for a unimodular locally compact group G, expressed as a direct integral over the unitary dual \hat{G}. This decomposition integrates irreducible unitary representations \pi \in \hat{G} with respect to the Plancherel measure \mu, allowing functions on G to be broken down into components corresponding to these representations. Such a structure underpins spectral theory on groups, facilitating the analysis of operators and functions through their irreducible constituents, much like eigenvalue decompositions in linear algebra.[29]A significant application arises in the uniqueness of the Haar measure on G. The Plancherel measure \mu is canonically tied to the left Haar measure dg on G, such that rescaling dg by a positive constant \lambda scales \mu by \lambda^{-1}; this reciprocity ensures that the Plancherel theorem determines the Haar measure up to a unique normalization, confirming its role in standardizing measures for Fourier analysis.[30] Furthermore, the theorem supports inversion formulas for convolutions in the group algebra L^1(G). By defining the Fourier transform \hat{f}(\pi) via the action of f \in L^1(G) on irreducible representations, convolution f * g maps to pointwise multiplication \hat{f} \cdot \hat{g} on \hat{G}, enabling recovery of the original convolution through the inverse transform integrated against the Plancherel measure.[31]The Plancherel theorem also extends classical results like Wiener's tauberian theorems to broader settings in non-abelian harmonic analysis. These extensions leverage the spectral support in \hat{G} to characterize ideals and approximate identities in the convolution algebra, determining when dense subalgebras coincide with L^1(G) based on the Plancherel measure's properties.[32]For compact groups, the Plancherel theorem specializes to the Peter-Weyl theorem, where L^2(G) decomposes as the orthogonal direct sum over all irreducible representations \pi of \dim \pi copies of the representation space \mathcal{H}_\pi, with the matrix coefficients of these representations forming a complete orthogonal basis.[33] On discrete groups, it manifests as the \ell^2-orthogonality of the matrix coefficients of irreducible representations, yielding a discrete analog of the spectral decomposition where the regular representation integrates these coefficients with multiplicities given by the dimensions.[34]An important implication concerns the convolution algebra structure: the Plancherel theorem ensures that the left convolution action of L^1(G) on L^2(G) is bounded, with the operator norm of f \in L^1(G) equal to the essential supremum over \pi \in \hat{G} of the operator norm \|\pi(f)\| with respect to the Plancherel measure, thereby controlling L^1(G) * L^1(G) \subset L^1(G) through spectral bounds on the group algebra.[35]
In Quantum Mechanics and PDEs
In quantum mechanics, wave functions describing the state of particles are elements of the Hilbert space L^2(\mathbb{R}^3), where the Plancherel theorem guarantees that the L^2 norm is preserved under the Fourier transform, establishing an isometric correspondence between position space and momentum space representations.[5] This preservation ensures that the total probability density integrates to unity in both domains, linking observables like position and momentum directly.[36] Specifically, the kinetic energy operator in position space, given by \int_{\mathbb{R}^3} |\nabla \psi(x)|^2 \, dx (up to scaling factors involving \hbar and mass), transforms via Plancherel to \int_{\mathbb{R}^3} |\xi|^2 |\hat{\psi}(\xi)|^2 \, d\xi in momentum space, where \hat{\psi} denotes the Fourier transform of \psi, thereby equating the expectation values of kinetic energy across representations.[5][37]The Plancherel theorem also plays a crucial role in partial differential equations (PDEs), particularly in solving evolution equations through Fourier methods while maintaining L^2 norm control. For the heat equation u_t = \Delta u on \mathbb{R}^n with initial data u(0) = \phi \in L^2(\mathbb{R}^n), the Fourier transform converts the PDE into \partial_t \hat{u}(t, \xi) = -|\xi|^2 \hat{u}(t, \xi), yielding the solution \hat{u}(t, \xi) = e^{-t |\xi|^2} \hat{\phi}(\xi).[38] Plancherel then implies that the L^2 norm of the solution decays monotonically, \|u(t)\|_{L^2} = \left( \int_{\mathbb{R}^n} e^{-2t |\xi|^2} |\hat{\phi}(\xi)|^2 \, d\xi \right)^{1/2} \leq \|\phi\|_{L^2}, quantifying the dissipative nature of heat flow without altering the underlying norm preservation.[12] This framework extends to other parabolic PDEs, ensuring stability in L^2 settings.A key implication in quantum mechanics is the derivation of the Heisenberg uncertainty principle from the unitarity of the Fourier transform, as affirmed by Plancherel. For a wave function f \in L^2(\mathbb{R}) with finite position and frequency variances, the principle yields \|x f\|_{L^2} \|\xi \hat{f}\|_{L^2} \geq \frac{1}{2} \|f\|_{L^2}^2 (in the convention where the Fourier transform is unitary and \xi is angular frequency).[39]In the time-dependent Schrödinger equation i \partial_t \psi = -\Delta \psi + V \psi (for potential V), the free evolution (V=0) is unitary in L^2, and Plancherel confirms that the Fourier representation \hat{\psi}(t, \xi) = e^{-i t |\xi|^2} \hat{\psi}(0, \xi) preserves the L^2 norm at all times, reflecting conservation of probability.[40] This duality facilitates analysis of dispersive wave propagation. In scattering theory, Plancherel underpins the completeness of wave operators, ensuring that asymptotic states in momentum space recover the full L^2 norm of incoming waves, essential for computing scattering cross-sections in potential scattering problems.[37][41]