Compression of a Bounded Symmetric Bilinear Form along an Orthonormal Tuple
lemmaAnalysisLinear Algebralem:form-compression-hilbert-2026aThe 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.
We work in the settings of Real Hilbert Spaces: Standing Notation and Background and Real Matrices, Symmetric Matrices and the Semidefinite Ordering: Standing Notation, the latter used in the dimension for a natural number with .
Let be a real Hilbert space, with its inner product and norm as fixed there, and let be the set of bounded symmetric bilinear forms on , with its norm , its order , its sums and scalar multiples and its identity form , as fixed there. Let be the set of symmetric real matrices, with its order , its norm and its identity matrix , zero matrix , sums, differences, scalar multiples and matrix-vector products, and let carry its dot product, Euclidean norm and initial segment . As in those settings the symbol serves for the order of and for that of , and for the norm of a matrix, the norm of a form and the Euclidean norm alike; the arguments determine which is meant.
Let be an -tuple in that is orthonormal, with components ; in this lemma always denotes a component of that tuple, the standard basis vectors of , written there, not being used. Let and be the two maps determined by , let be the form carried by the coordinate map for , and let and be the projection form and the tail form of . Then the following hold.
1. (The compression)¶ Let . The real matrix with entries
belongs to and satisfies
It is called the compression of along .
2. (Linearity, norm and order)¶ For all and every ,
and implies .
3. (The identity, projection and tail forms)¶ , and . Consequently
4. (Compression inverts inflation)¶ for every .
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