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The algebraic variety of tight frames

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An Introduction to Finite Tight Frames

Part of the book series: Applied and Numerical Harmonic Analysis ((ANHA))

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Abstract

Let \(V=[v_1,\ldots , v_n]\) be the synthesis operator of a normalised tight frame for \(\mathbb {F}^d\) , i.e., a \(d\times n\) matrix with \(VV^*=I\) (Proposition 2.1). Since \(VV^*=I\), the collection of normalised tight frames of n vectors for a space of dimension d can be viewed as an algebraic variety (in \(\mathbb {F}^{d\times n}\)), as can other classes of frames, such as the equal-norm tight frames.

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Correspondence to Shayne F. D. Waldron .

Appendices

Notes

The existence of equal-norm tight frames was not widely known until recently. This question was raised at Bommerholz in September 2000 (see [BF03]) and was “settled” in various ways: retrospectively [GVT98], by explicit constructions [Zim01],  [RW02] and by minimisation of the frame potential [BF03]. The connection with results such as the Schur–Horn majorisation theorem are now well known, and there are sophisticated algorithms [Str12],  [CFM12],  [CFM+13],  [FMP16] for moving over the varieties \({\mathscr {N}}_{n,\mathbb {F}^d}\) and \({\mathscr {F}}_{n,\mathbb {F}^d}\) . The corresponding algebraic varieties of spherical (t, t)-designs for \(t\ne 1\) (see §6.9) are far less studied.

Exercises

7.1

Let \(\mathop { U}\nolimits (\mathbb {F}^n)\), the real Lie group of \(n\times n\) unitary matrices over \(\mathbb {F}\), act on \({\mathscr {N}}_{n,\mathbb {F}^d}\) (the normalised tight frames of n vectors for \(\mathbb {F}^d\)) via right multiplication.

(a) Show that the stabiliser of \(V=[I, 0]\in {\mathscr {N}}_{n,\mathbb {F}^d}\) is

(b) Since the action is irreducible, it follows that \({\mathscr {N}}_{n,\mathbb {F}^d}\) is isomorphic to . Use this to calculate its dimension.

Hint: \(\dim (\mathop { U}\nolimits (\mathbb {C}^n))=n^2\), \(\dim (\mathop { U}\nolimits (\mathbb {R}^n))={1\over 2}n(n-1)\).

7.2

For \(v, w\in \mathbb {F}^d\) and \(\sigma \in \mathbb {F}\), \(|\sigma |=1\), define \(f=f_\sigma :[0,1]\rightarrow \mathbb {R}\) by

$$ f(t) := \Vert t v+\sigma \sqrt{1-t^2}w\Vert ^2 = t^2\Vert v\Vert ^2+({1-t^2})\Vert w\Vert ^2 +2t\sqrt{1-t^2}\alpha , $$

where \(\alpha =\alpha _\sigma :=\mathfrak {R}(\overline{\sigma }\langle v, w\rangle )\).

  1. (a)

    For a fixed \(\sigma \), find a possible local maximum and minimum of \(f=f_\sigma \) over [0, 1].

  2. (b)

    Optimise the possible local maximum and minimum from (a) over all \(|\sigma |=1\).

  3. (c)

    By considering the end points \(t=0,1\) find the maximum and minimum of \(f_\sigma (t)\) over t and \(\sigma \).

7.3

Suppose that \(1\ge a_1\ge a_2\ge \cdots \ge a_n\ge 0\), \(a_1+a_2+\cdots +a_n=d\), and there is a normalised tight frame \(V^{(k)}=[v_1^{(k)},\ldots , v_n^{(k)}]\in {\mathscr {N}}_{n,\mathbb {F}^d}\) with

  1. (i)

    \(\Vert v_j^{(k)}\Vert ^2=a_j\), \(1\le j\le k\).

  2. (ii)

    \(\Vert v_j^{(k)}\Vert ^2\ge a_{k+1}\) or \(\Vert v_j^{(k)}\Vert =0\), \(k+2\le j\le n\).

Show that

  1. (a)

    If \(\Vert v_{k+1}^{(k)}\Vert ^2<a_{k+1}\), then \(a_{k+1}\le \Vert v_{j_0}^{(k)}\Vert ^2\), for some \(k+2\le j_0\le n\).

  2. (b)

    If \(\Vert v_{k+1}^{(k)}\Vert ^2>a_{k+1}\), then \(a_{k+1}\ge \Vert v_{j_0}^{(k)}\Vert ^2\) or \(\Vert v_{j_0}^{(k)}\Vert ^2=0\), for some \(k+2\le j_0\le n\).

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Waldron, S.F.D. (2018). The algebraic variety of tight frames. In: An Introduction to Finite Tight Frames. Applied and Numerical Harmonic Analysis. Birkhäuser, New York, NY. https://doi.org/10.1007/978-0-8176-4815-2_7

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