Abbreviation for the $n$-dimensional Euclidean space $\mathbb{R}^n$.
Instances For
The complex Laplacian $\Delta f(x) = \sum_{j=1}^n \partial_{x_j}^2 f(x)$ for a complex-valued function $f : \mathbb{R}^n \to \mathbb{C}$, defined via iterated Fréchet derivatives along the standard basis directions.
Instances For
The Fourier transform of the 1D Schrödinger fundamental solution: $\hat{K}(t, \xi) = e^{-2\pi^2 i t \xi^2}$.
Instances For
The 1D specialization of the Schrödinger fundamental solution: $K(t, x) = (2\pi i t)^{-1/2} e^{i x^2 / (2t)}$ for $x \in \mathbb{R}$.
Instances For
Computation of the time derivative of the 1D Schrödinger kernel: $i\partial_t K(t,x) = K(t,x) \cdot \left(-\frac{i}{2t} + \frac{x^2}{2t^2}\right)$.
Computation of the spatial Laplacian of the 1D Schrödinger kernel: $\tfrac{1}{2}\partial_x^2 K(t,x) = K(t,x) \cdot \left(\frac{i}{2t} - \frac{x^2}{2t^2}\right)$.
Lemma 2.0.2 (1D case). The fundamental solution $K(t,x)$ verifies the free Schrödinger equation $i\partial_t K + \tfrac{1}{2}\partial_x^2 K = 0$ for $t > 0$.
The time derivative of the $n$-dimensional Schrödinger kernel: $i\partial_t K(t,x) = K(t,x) \cdot \left(-\frac{n i}{2t} + \frac{|x|^2}{2t^2}\right)$.
The second partial derivative of the $n$-dimensional Schrödinger kernel in the $j$-th direction: $\partial_{x_j}^2 K(t,x) = K(t,x) \cdot \left(\frac{i}{t} + \left(\frac{i x_j}{t}\right)^2\right)$.
Computation of the spatial Laplacian of the $n$-dimensional Schrödinger kernel: $\tfrac{1}{2}\Delta K(t,x) = K(t,x) \cdot \left(\frac{n i}{2t} - \frac{|x|^2}{2t^2}\right)$.
Lemma 2.0.2 ($n$-dimensional case). The fundamental solution $K(t,x)$ verifies the free Schrödinger equation $i\partial_t K + \tfrac{1}{2}\Delta K = 0$ for $t > 0$, $x \in \mathbb{R}^n$.
Proposition 2.0.3 (1D case). For $\phi \in C_c^\infty(\mathbb{R})$, the convolution $(K(t,\cdot) * \phi)(x)$ recovers the initial data as $t \to 0^+$: $\lim_{t \to 0^+} (K(t,\cdot) * \phi)(x) = \phi(x)$.
Proposition 2.0.3 ($n$-dimensional case). For $\phi \in C_c^\infty(\mathbb{R}^n)$, $\lim_{t \to 0^+} \frac{1}{(2\pi i t)^{n/2}} \int_{\mathbb{R}^n} e^{i |x-y|^2 / (2t)} \phi(y)\, d^n y = \phi(x)$.
The differentiation-under-the-integral identity: the 1D convolution $K(t,\cdot) * \phi$ solves the free Schrödinger equation, obtained by passing the time and spatial derivatives inside the integral.
For $\phi \in C_c^\infty(\mathbb{R})$, the 1D Schrödinger convolution $(t, x) \mapsto (K(t, \cdot) * \phi)(x)$ is $C^\infty$ jointly in $(t, x)$.
Theorem 2.1 (existence, 1D). The candidate solution $\psi = K(t, \cdot) * \phi$ indeed solves the free Schrödinger equation for $t > 0$.
Theorem 2.1 (initial data, 1D). The candidate solution $\psi$ attains the initial data $\phi$ as $t \to 0^+$.
Theorem 2.1 (smoothness, 1D). The solution $\psi(t, x)$ is smooth in $(t, x)$.
Theorem 2.1 (uniqueness, 1D). Any two smooth solutions of the 1D free Schrödinger equation that attain the same initial data $\phi$ as $t \to 0^+$ must agree at all $(t, x)$ with $t > 0$.
Leibniz rule for the time derivative of the $n$D Schrödinger convolution: the time derivative of $(K(t, \cdot) * \phi)(x)$ equals the convolution of $\partial_t K$ with $\phi$.
Leibniz rule for the spatial Laplacian of the $n$D Schrödinger convolution: $\Delta_x$ of $(K(t, \cdot) * \phi)(x)$ equals the convolution of $\Delta K$ with $\phi$.
Integrability of $\partial_t K(t, x - y) \cdot \phi(y)$ in $y$, needed to interchange the time derivative and the integral.
Integrability of $\Delta K(t, x - y) \cdot \phi(y)$ in $y$, needed to interchange the spatial Laplacian and the integral.
The Schrödinger differential operator commutes with the convolution integral: $(i\partial_t + \tfrac{1}{2}\Delta)(K * \phi) = \int (i\partial_t K + \tfrac{1}{2}\Delta K)(x-y) \phi(y)\,d^n y$.
Combining the Leibniz rule with Lemma 2.0.2: in $n$ dimensions, the convolution $(K(t, \cdot) * \phi)(x)$ solves the free Schrödinger equation for $t > 0$.
For $\phi \in C_c^\infty(\mathbb{R}^n)$, the $n$D Schrödinger convolution $(t, x) \mapsto (K(t, \cdot) * \phi)(x)$ is $C^\infty$ jointly in $(t, x)$.
Theorem 2.1 (existence, $n$D). The candidate solution $\psi = K(t, \cdot) * \phi$ solves the $n$-dimensional free Schrödinger equation for $t > 0$.
Theorem 2.1 (initial data, $n$D). The candidate solution $\psi$ attains the initial data $\phi$ as $t \to 0^+$, for $\phi \in C_c^\infty(\mathbb{R}^n)$.
Theorem 2.1 (uniqueness, $n$D). Any two smooth solutions of the $n$-dimensional free Schrödinger equation that attain the same initial data $\phi$ as $t \to 0^+$ must agree at all $(t, x)$ with $t > 0$.
Theorem 2.1 (full statement, $n$D). For $\phi \in C_c^\infty(\mathbb{R}^n)$ there exists a unique smooth solution $\psi \in C^\infty((0, \infty) \times \mathbb{R}^n)$ to the free Schrödinger equation with $\psi(0, x) = \phi(x)$, given by $\psi(t, x) = (K(t, \cdot) * \phi)(x)$, and $\psi$ satisfies the dispersive estimate $\|\psi(t, \cdot)\|_{L^\infty} \le C t^{-n/2} \|\phi\|_{L^1}$.
The Fourier multiplier $\hat{K}(t, \xi) = e^{-2\pi^2 i t \xi^2}$ has modulus $1$, so the Fourier transform of the solution has the same pointwise modulus as $\hat{\phi}$: $|\hat{\psi}(t, \xi)| = |\hat{\phi}(\xi)|$.
The custom Fourier transform defined in CM16 agrees with Mathlib's Fourier transform $\mathcal{F}$.
Plancherel's theorem for compactly supported smooth functions in 1D: $\int_{\mathbb{R}} |f(x)|^2\,dx = \int_{\mathbb{R}} |\hat{f}(\xi)|^2\,d\xi$.
The Fourier transform of the 1D Schrödinger convolution equals the multiplier representation: $\widehat{K(t, \cdot) * \phi}(\xi) = \hat{K}(t, \xi) \hat{\phi}(\xi)$.
Proposition 2.0.4 (Preservation of $L^2$ norm, 1D). Under the assumptions of Theorem 2.1, $\|\psi(t, \cdot)\|_{L^2} = \|\phi\|_{L^2}$ for all $t > 0$. The proof goes through Plancherel and the fact that the Fourier multiplier has unit modulus.
The custom $n$D Fourier transform agrees with Mathlib's Fourier transform $\mathcal{F}$ on $\mathbb{R}^n$.
Plancherel's theorem for compactly supported smooth functions in $\mathbb{R}^n$: $\int |f(x)|^2\,d^n x = \int |\hat{f}(\xi)|^2\,d^n \xi$.
Fubini-style swap of the order of integration in the double integral arising in computing $\widehat{K(t, \cdot) * \phi}(\xi)$.
Rearrangement (via Fubini) of the Fourier transform of the convolution as an iterated integral with $\phi$ outside and the kernel integrated against the Fourier exponential.
Translation property of the Fourier transform applied to the Schrödinger kernel: $\int K(t, x - y) e^{-2\pi i \langle \xi, x\rangle}\,d^n x = e^{-2\pi i \langle \xi, y\rangle} \hat{K}(t, \xi)$.
The Fourier transform of the 1D complex Gaussian $\frac{1}{(2\pi i t)^{1/2}} e^{i u^2 / (2t)}$ at frequency $\xi$ equals $e^{-2\pi^2 i t \xi^2}$.
Factorization of the $n$D Fourier transform of $K(t, \cdot)$ as a product of 1D Fourier transforms of complex Gaussians, via Fubini and the product structure of $K$.
The $n$D Fourier transform of the Schrödinger kernel agrees with the closed-form multiplier: $\hat{K}(t, \xi) = e^{-2\pi^2 i t |\xi|^2}$.
The Fourier transform of the $n$D Schrödinger convolution equals the multiplier representation: $\widehat{K(t, \cdot) * \phi}(\xi) = \hat{K}(t, \xi) \hat{\phi}(\xi)$.
For fixed $t > 0$, the function $x \mapsto (K(t, \cdot) * \phi)(x)$ is $C^\infty$ in $x$, deduced from the joint smoothness in $(t, x)$.
Identification of the Schrödinger convolution with the action of the Fourier multiplier $\hat{K}(t, \cdot)$ on the Schwartz function $\phi$: as functions, the convolution equals the Fourier-multiplier composition.
Schwartz-type decay for the $n$D Schrödinger convolution: for every $k, m \in \mathbb{N}$ there is a constant $C$ with $\|x\|^k \|D^m (K * \phi)(x)\| \le C$.
Promotion of $x \mapsto (K(t, \cdot) * \phi)(x)$ to a Schwartz function, packaging the smoothness and Schwartz-decay results.
Instances For
Plancherel's theorem applied to the $n$D Schrödinger convolution, viewed as a Schwartz function: $\int |(K(t,\cdot) * \phi)(x)|^2,d^n x = \int |\widehat{K(t, \cdot) * \phi}(\xi)|^2,d^n \xi$.
The Fourier-side proof of $L^2$-norm preservation in $n$ dimensions: using Plancherel and the fact that $\hat{K}$ has unit modulus, $\int \|(K(t, \cdot) * \phi)(x)\|^2\,d^n x = \int \|\phi(x)\|^2\,d^n x$.
Proposition 2.0.4 (Preservation of $L^2$ norm, $n$D). Under the assumptions of Theorem 2.1, $\|\psi(t, \cdot)\|_{L^2(\mathbb{R}^n)} = \|\phi\|_{L^2(\mathbb{R}^n)}$. In particular, if $\phi$ is a unit-mass wave function, then $\psi(t, \cdot)$ remains so for all $t > 0$.