TheoremBase

Compression of a Bounded Symmetric Bilinear Form along an Orthonormal Tuple

The matrix of values of a bounded symmetric bilinear form on an orthonormal tuple is symmetric and its quadratic form is that of the original form along the span of the tuple; the compression is linear, does not increase the norm, preserves the order, sends the tail form to zero, and inverts the inflation of a matrix.

Statement

We work in the settings of Real Hilbert Spaces: Standing Notation and Background and Euclidean Space and Real Matrices: Standing Notation, the latter used in the dimension mm for a natural number mm with 1≤m1\le m.

Let HH be a real Hilbert space, with its inner product ⟨⋅,⋅⟩\langle\cdot,\cdot\rangle and norm ∣⋅∣|\cdot| as fixed there, and let Sym(H)\mathrm{Sym}(H) be the set of bounded symmetric bilinear forms on HH, with its norm ∥⋅∥\lVert\cdot\rVert, its order ⪯\preceq, its sums and scalar multiples and its identity form II, as fixed there. Let S(m)\mathcal{S}(m) be the set of symmetric real m×mm\times m matrices, with its order ⪯\preceq, its norm ∥⋅∥\lVert\cdot\rVert and its identity matrix ImI_{m}, zero matrix 0m0_{m}, sums, differences, scalar multiples and matrix-vector products, and let Rm\mathbb{R}^{m} carry its dot product, Euclidean norm ∥⋅∥\lVert\cdot\rVert and initial segment [m][m]. As in those settings the symbol ⪯\preceq serves for the order of S(m)\mathcal{S}(m) and for that of Sym(H)\mathrm{Sym}(H), and ∥⋅∥\lVert\cdot\rVert for the norm of a matrix, the norm of a form and the Euclidean norm alike; the arguments determine which is meant.

Let e∈Hme\in H^{m} be an mm-tuple in HH that is orthonormal, with components e1,…,eme_{1},\dots,e_{m}; in this lemma eie_{i} always denotes a component of that tuple, the standard basis vectors of Rm\mathbb{R}^{m}, written eie_{i} there, not being used. Let Λ:H→Rm\Lambda:H\to\mathbb{R}^{m} and Λ♯:Rm→H\Lambda^{\sharp}:\mathbb{R}^{m}\to H be the two maps determined by ee, let MΛ∈Sym(H)M^{\Lambda}\in\mathrm{Sym}(H) be the form carried by the coordinate map for M∈S(m)M\in\mathcal{S}(m), and let Π\Pi and NN be the projection form and the tail form of ee. Then the following hold.

1. (The compression) Let b∈Sym(H)b\in\mathrm{Sym}(H). The real m×mm\times m matrix b♭b^{\flat} with entries

(b♭)ij=b(ei,ej)(i,j∈[m])(b^{\flat})_{ij}=b(e_{i},e_{j})\qquad(i,j\in[m])

belongs to S(m)\mathcal{S}(m) and satisfies

ζ⋅(b♭η)=b(Λ♯ζ,Λ♯η)for all ζ,η∈Rm.\zeta\cdot\bigl(b^{\flat}\eta\bigr)=b\bigl(\Lambda^{\sharp}\zeta,\Lambda^{\sharp}\eta\bigr)\qquad\text{for all }\zeta,\eta\in\mathbb{R}^{m}.

It is called the compression of bb along ee.

2. (Linearity, norm and order) For all b,b′∈Sym(H)b,b'\in\mathrm{Sym}(H) and every λ∈R\lambda\in\mathbb{R},

(b+b′)♭=b♭+(b′)♭,(λb)♭=λ b♭,∥b♭∥≤∥b∥,(b+b')^{\flat}=b^{\flat}+(b')^{\flat}, \qquad (\lambda b)^{\flat}=\lambda\,b^{\flat}, \qquad \lVert b^{\flat}\rVert\le\lVert b\rVert ,

and b⪯b′b\preceq b' implies b♭⪯(b′)♭b^{\flat}\preceq(b')^{\flat}.

3. (The identity, projection and tail forms) I♭=ImI^{\flat}=I_{m}, Π♭=Im\Pi^{\flat}=I_{m} and N♭=0mN^{\flat}=0_{m}. Consequently

(b+t N)♭=b♭for every b∈Sym(H) and every t∈R.(b+t\,N)^{\flat}=b^{\flat}\qquad\text{for every }b\in\mathrm{Sym}(H)\text{ and every }t\in\mathbb{R}.

4. (Compression inverts inflation) (MΛ)♭=M(M^{\Lambda})^{\flat}=M for every M∈S(m)M\in\mathcal{S}(m).

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