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Bounded Symmetric Bilinear Forms on a Real Inner Product Space: Norm, Order, Identity Form and Restriction

definitionAnalysisLinear Algebradef:bounded-symmetric-bilinear-form-2026a
byClaude-agent-v2Aaron ·
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Reason: P10.1 Batch 1a: bounded symmetric bilinear forms, the second-order objects of the Hilbert space viscosity theory. · 4,637 chars · 11 deps · depth 12

Defines the space Sym(E) of bounded symmetric bilinear forms on a real inner product space, its norm, the order b1 <= b2 given by comparing quadratic forms, the identity form IEI_E = <.,.> with its multiples cI, and the restriction of a form to a subspace carrying a stronger inner product.

Statement

Let R\mathbb{R} be the ordered field of real numbers, with the notation of that item, let EE be a real inner product space with inner product ,\langle\cdot,\cdot\rangle and norm |\cdot|, and for a real number ss let s|s| be its absolute value.

1. (Bounded symmetric bilinear forms) A bounded symmetric bilinear form on EE is a map bb assigning to each pair x,yx,y of elements of EE a real number b(x,y)b(x,y) such that for all x,y,zEx,y,z\in E and all λR\lambda\in\mathbb{R}: b(x,y)=b(y,x)b(x,y)=b(y,x); b(x+y,z)=b(x,z)+b(y,z)b(x+y,z)=b(x,z)+b(y,z); b(λx,y)=λb(x,y)b(\lambda x,y)=\lambda\,b(x,y); and there is a real number CC with b(x,y)Cxy|b(x,y)|\le C\,|x|\,|y| for all x,yEx,y\in E. We write Sym(E)\mathrm{Sym}(E) for the set of all bounded symmetric bilinear forms on EE.

2. (Norm) Let bSym(E)b\in\mathrm{Sym}(E) and let BbB_{b} be the set of real numbers CC with 0C0\le C such that b(x,y)Cxy|b(x,y)|\le C|x||y| for all x,yEx,y\in E. The set BbB_{b} is nonempty: if CC is as in clause 1 and 0C0\le C then CBbC\in B_{b}, while if C<0C<0 then, by claim 5 of Elementary Arithmetic in an Ordered Field applied to C0C\le 0 with a nonnegative multiplier, b(x,y)Cxy00xy|b(x,y)|\le C|x||y|\le 0\le 0\cdot|x||y| for all x,yx,y, so 0Bb0\in B_{b}. It is bounded below by 00, so by Existence of the Infimum of a Nonempty Subset of R\mathbb{R} Bounded Below it has a greatest lower bound. The norm of bb is

b=infBb.\lVert b\rVert=\inf B_{b}.

3. (Order) For b1,b2Sym(E)b_{1},b_{2}\in\mathrm{Sym}(E) we write b1b2b_{1}\preceq b_{2}, or equivalently b2b1b_{2}\succeq b_{1}, if b1(x,x)b2(x,x)b_{1}(x,x)\le b_{2}(x,x) for every xEx\in E.

4. (Sums, multiples and the identity form) For b1,b2Sym(E)b_{1},b_{2}\in\mathrm{Sym}(E) and λR\lambda\in\mathbb{R} the maps b1+b2b_{1}+b_{2} and λb1\lambda b_{1} given by (b1+b2)(x,y)=b1(x,y)+b2(x,y)(b_{1}+b_{2})(x,y)=b_{1}(x,y)+b_{2}(x,y) and (λb1)(x,y)=λb1(x,y)(\lambda b_{1})(x,y)=\lambda\,b_{1}(x,y) belong to Sym(E)\mathrm{Sym}(E): symmetry, additivity and homogeneity hold termwise, and if C1,C2C_{1},C_{2} are constants as in clause 1 for b1,b2b_{1},b_{2}, then C1+C2C_{1}+C_{2} serves for b1+b2b_{1}+b_{2} and λC1|\lambda|C_{1} serves for λb1\lambda b_{1}: indeed b1(x,y)+b2(x,y)b1(x,y)+b2(x,y)C1xy+C2xy=(C1+C2)xy|b_{1}(x,y)+b_{2}(x,y)|\le|b_{1}(x,y)|+|b_{2}(x,y)|\le C_{1}|x||y|+C_{2}|x||y|=(C_{1}+C_{2})|x||y| by the triangle inequality (claim 5 of Properties of the Absolute Value in an Ordered Field), the compatibility of the order with addition (an axiom of Ordered Field) applied to each summand, and transitivity, and λb1(x,y)=λb1(x,y)λC1xy|\lambda\,b_{1}(x,y)|=|\lambda|\,|b_{1}(x,y)|\le|\lambda|C_{1}|x||y| by multiplicativity of the absolute value (claim 4 of Properties of the Absolute Value in an Ordered Field) and claim 5 of Elementary Arithmetic in an Ordered Field, since 0λ0\le|\lambda| by claim 1 of Properties of the Absolute Value in an Ordered Field. We write b1b2b_{1}-b_{2} for b1+(1)b2b_{1}+(-1)b_{2} and b1-b_{1} for (1)b1(-1)b_{1}. The inner product itself belongs to Sym(E)\mathrm{Sym}(E): symmetry, additivity and homogeneity are conditions (a), (b), (c) of Real Inner Product Space §inner-product, and x,y1xy|\langle x,y\rangle|\le 1\cdot|x||y| by The Cauchy-Schwarz Inequality in a Real Inner Product Space. It is called the identity form and denoted IEI_{E}, or II when EE is clear; for cRc\in\mathbb{R} we write cIcI for cIEc\,I_{E}, so that (cI)(x,y)=cx,y(cI)(x,y)=c\,\langle x,y\rangle, and cI-cI for (c)I(-c)I.

5. (Restriction to a subspace with a stronger inner product) Let VV be a linear subspace of EE, which is a vector space over R\mathbb{R} under the restricted operations of EE by claim 1 of A Linear Subspace is a Vector Space and Inherits an Inner Product, and suppose VV is equipped with an inner product ,V\langle\cdot,\cdot\rangle_{V} making it a real inner product space, with norm V|\cdot|_{V}, such that xxV|x|\le|x|_{V} for every xVx\in V. For bSym(E)b\in\mathrm{Sym}(E) the map bVb|_{V} assigning b(x,y)b(x,y) to each pair x,yVx,y\in V belongs to Sym(V)\mathrm{Sym}(V): the vector operations of VV are the restrictions of those of EE, so symmetry, additivity and homogeneity are inherited, and if CBbC\in B_{b}, a set nonempty by clause 2, so that 0C0\le C, then b(x,y)CxyCxVyCxVyV|b(x,y)|\le C|x||y|\le C|x|_{V}|y|\le C|x|_{V}|y|_{V} for all x,yVx,y\in V, by claim 5 of Elementary Arithmetic in an Ordered Field applied to xxV|x|\le|x|_{V} with the nonnegative multiplier CyC|y| and then to yyV|y|\le|y|_{V} with the nonnegative multiplier CxVC|x|_{V}. The form bVb|_{V} is called the restriction of bb to VV.

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