Sorry for all the confusion. I think what I am actually asking is: Can we find an explicit smooth non-zero function on $\mathbb R^2$ that satisfies $$f(x_1,x_2) =e^{-i\pi x_2} f(x_1+1,x_2) \text{ and } f(x_1,x_2) =e^{i\pi x_1} f(x_1,x_2+1).$$
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1$\begingroup$ I think this is more of theoretical relevance, since nobody is ever going to compute that projection explicitly. $\endgroup$– Kung YaoCommented Nov 30, 2020 at 6:07
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3$\begingroup$ Do you know any reasonable function in that space? If so, call it $g$, and consider the functions $f_{\mathbf n}=(x_1,x_2)=g(x_1,x_2)e^{2\pi i(n_1x_1+n_2x_2)}$. $\endgroup$– Anthony QuasCommented Nov 30, 2020 at 6:33
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1$\begingroup$ the inner product is the standard $L^2$ inner product with Lebesgue measure on $[0,1]^2$ $\endgroup$– Kung YaoCommented Nov 30, 2020 at 15:34
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2$\begingroup$ Your latest edit is confusing, because it only makes sense when one knows the original version and reads all the comments. I think it is better just to edit down to the actual question, or at least to put in enough context that one can understand just by reading the question. $\endgroup$– LSpiceCommented Dec 2, 2020 at 19:43
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2$\begingroup$ Start with any smooth function having a compact support inside $(0,1)^2$ and extend to the whole plane using your relations. $\endgroup$– Fedor PetrovCommented Dec 2, 2020 at 20:07
2 Answers
Your space can be considered as sections of a complex line bundle over the torus. Note that the usual partial derivatives $\partial_1,\partial_2$ do not preserve it, but the operators $$ D_1 = \partial_1 - i\pi x_2,D_2 = \partial_2 + i\pi x_1 $$ do — they define a (unitary) connection on your line bundle, which essentially means that $D_i(fg) = (\partial_i f)g + f(D_i g)$ for $f$ periodic and $g$ in your subspace. Now we have $$ [D_1,D_2] = 2i\pi $$ so these "connection partial derivatives" no longer commute. This calculation immediately shows that there can be no smooth function $g$ which is nowhere vanishing in your subspace; if that were the case, we could set $D_ig = A_ig$ for some periodic functions $A_i$, which yields \begin{align*} (2\pi i)g &= D_1D_2 g - D_2D_1 g\\ &= D_1(A_2 g) - D_2(A_1 g)\\ &= (\partial_1 A_2 + A_1A_2 - \partial_2 A_1 -A_1A_2)g\\ \implies 2\pi i &= \partial_1 A_2 - \partial_2 A_1 \end{align*} But this is impossible since the integral of a partial derivative of a periodic function vanishes. (This proof essentially uses that $[D_1,D_2]\mathrm dx_1\mathrm dx_2$, the curvature of the connection, represents a nontrivial de Rham cohomology class on the torus, so that the line bundle is nontrivial, while such a function $g$ would determine a trivialization.)
The main advantage of the Fourier basis is that it diagonalizes the partial derivative operators. This doesn't work for the $D_i$ since they satisfy the canonical commutation relations (their commutator is a non-zero multiple of the identity); this is essentially the Heisenberg uncertainty relation. However, the CCR have a unique (irreducible) representation, and from this we obtain the existence of an isometry from your space to $L^2(\mathbb R)$ which carries $D_1$ to multiplication by $2\pi i x$ and $D_2$ to $-\partial_x$.
In fact, one can write this isomorphism down quite explicitly: the operator $-D_1^2 - D_2^2 = (D_1 -iD_2)^\dagger(D_1 -iD_2) +2\pi$ has smallest eigenvalue $2\pi$ with one-dimensional eigenspace spanned by a function $f_0$ such that $D_1 f_0 = iD_2 f_0$. One can then act by the "creation operator" $(D_1 -iD_2)$; setting $f_n = (D_1 -iD_2)^n f_0$, these functions form an orthogonal basis in which the action of the $D_i$ is tridiagonal (the resulting matrix vanishes except for the two diagonals around the main diagonal).
It remains to solve the equation $D_1 f = iD_2 f$ with your boundary conditions. Without boundary conditions, the general solution on $\mathbb R^2\cong \mathbb C$ is of the form $e^{-\pi\lvert z\rvert^2/2}g(z)$ with $g$ holomorphic. The boundary conditions become \begin{align*} g(z+1) & {}= e^{-\pi z +\pi/2}g(z), \\ g(z+i) & {}= e^{i\pi z +\pi/2}g(z). \end{align*} This is the functional equation of the Weierstrass sigma function of the square lattice.
Of course, this basis is probably not that useful for numerics. I would try to discretize the annihilation and creation operators, find the kernel of the former and act on it by the latter; in the resulting basis the operators $D_i$ should have small off-diagonal terms.
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$\begingroup$ thanks, even though i could never articulate my question properly, i think you understood somehow what i was after... $\endgroup$– Kung YaoCommented Dec 2, 2020 at 19:54
Fix a Schwartz function $g_0 : {\bf R} \to {\bf C}$, say $g_0(x) = e^{-\pi x^2}$ (which looks like a natural choice in this context).
For $x_1,x_2 \in \bf R$ define $g(x_1,x_2)$ by the absolutely convergent sum $$ g(x_1,x_2) = \sum_{n=-\infty}^\infty g_0(x_2+n) e^{2\pi i n x_1}. $$ Clearly $g(x_1,x_2) = g(x_1+1,x_2)$ for all $x_1,x_2$. Also $$ g(x_1,x_2) = \sum_{n=-\infty}^\infty g_0(x_2+n+1) e^{2\pi i {n+1} x_1} = e^{2\pi i x_1} \sum_{n=-\infty}^\infty g_0(x_2+n+1) e^{2\pi i n x_1} = e^{2\pi i x_1} g(x_1, x_2 + 1). $$ Finally define $$ f(x_1,x_2) = e^{\pi i x_1 x_2} g(x_1,x_2). $$ Then $f$ is a smooth function satisfying the required identities $$ f(x_1,x_2) = e^{-i\pi x_2} f(x_1+1,x_2), \quad f(x_1,x_2) = e^{i\pi x_1} f(x_1,x_2+1) \tag{$\star$} $$ for all real $x_1,x_2$.
This construction was surmised by working backwards, observing that if $f$ satisfies the required quasiperiodicity then $g$ is periodic in $x_1$ and thus has a Fourier series $\sum_{n=-\infty}^\infty g_n(x_2) e^{2\pi i n x_1}$, and then the identity $g(x_1,x_2) = e^{2\pi i x_1} g(x_1, x_2 + 1)$ yields $g_n(x_2+1) = g_{n+1}(x_2)$, whence $g_n(x_2) = g_0(x_2+n)$ for each $n$.
The $L^2$ norm of $g$ on the unit square is the square root of $$ \sum_{n=-\infty}^\infty \int_0^1 |g_n(x_2)|^2 \, dx_2 = \sum_{n=-\infty}^\infty \int_n^{n+1} |g_0(x_2)|^2 \, dx_2 = \int_{-\infty}^\infty |g_0(x_2)|^2 \, dx_2, $$ which is the $L^2$ norm of $g$ on $\bf R$. So we have an injection (and probably an isomorphism) of $L^2({\bf R}, {\bf C})$ into the Hilbert space of functions satisfying ($\star$) which takes Schwartz functions to smooth functions.
The construction breaks the (anti)symmetry between $x_1$ and $x_2$. However, if we make $f$ periodic in $x_2$ by multiplying by $e^{\pi i x_1 x_2}$ instead of $e^{-\pi i x_1 x_2}$, we end up with much the same formula but with $x_1,x_2$ switched and $g_0$ replaced by its Fourier transform! (This calculation is similar to the one that gives the Poisson summation formula.) In particular, for our choice $g_0(x) = e^{-\pi x^2}$ it is the same function. This suggests using the Hermite functions (orthogonal polynomials times $e^{-\pi x^2}$) for $g_0$ to obtain an orthogonal basis for the space of functions satisfying ($\star$).
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$\begingroup$ Hm, come to think about it the orthogonal basis coming from Hermite functions probably ends up being equivalent to the one that Bertram Arnold constructed with connections and differential operators. The two approaches might be complementary $-$ the derivation of $e^{\pi i x_1 x_2} \sum_n g_0(x_2+n) \, e^{2\pi i n x_1}$ is more elementary and amenable to numerical computations, but the commutation relations etc. reveal a richer structure. $\endgroup$ Commented Dec 7, 2020 at 5:20
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2$\begingroup$ Up to some constants, the map from $L^2(\mathbb R,\mathbb C)$ is exactly the isomorphism between representations of the canonical commutation relations I described abstractly in my answer. In particular, the eigenfunctions of the harmonic oscillator (i.e. the Hermite functions) get sent to the basis that I constructed. It seems like this gives an interesting Fourier-type series for the Weierstrass sigma function, which at least I didn't know before! $\endgroup$ Commented Dec 7, 2020 at 8:29