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Physlib.Mathematics.InnerProductSpace.Basic

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definition

L2L_2 norm notation x2\|x\|_2

#term‖_‖₂

The notation x2\|x\|_2 denotes the L2L_2 norm of an element xx in a space equipped with an inner product, which is defined as the square root of the inner product of xx with itself, i.e., x2=x,x\|x\|_2 = \sqrt{\langle x, x \rangle}.

instance

Core structure of a generalized inner product space EE over k\mathbb{k}

#instCoreOfInnerProductSpace'

Given a generalized inner product space EE over a field k\mathbb{k} (where k\mathbb{k} is typically R\mathbb{R} or C\mathbb{C}), this definition extracts the underlying core structure required for an inner product space. This core structure includes the definition of the inner product ,\langle \cdot, \cdot \rangle and the fundamental axioms it satisfies, such as linearity in the first argument, conjugate symmetry, and positive definiteness. This is used in cases where the space's default norm \|\cdot\| does not necessarily coincide with the L2L_2 norm ,\sqrt{\langle \cdot, \cdot \rangle}.

instance

Inner product ,\langle \cdot, \cdot \rangle for a generalized inner product space EE over k\mathbb{k}

#instInnerOfInnerProductSpace'

Given a generalized inner product space EE over a field k\mathbb{k} (where k\mathbb{k} is typically R\mathbb{R} or C\mathbb{C}), this instance provides the inner product ,\langle \cdot, \cdot \rangle on EE. It extracts the inner product operation from the underlying core structure of the `InnerProductSpace' 𝕜 E` typeclass, which generalizes standard inner product spaces by allowing the space's default norm to differ from the L2L_2 norm x,x\sqrt{\langle x, x \rangle}.

instance

Standard inner product space is a generalized inner product space

#instInnerProductSpace'

Given a standard inner product space EE over a field k\mathbb{k} (where k\mathbb{k} is R\mathbb{R} or C\mathbb{C}), this instance defines a generalized inner product space structure `InnerProductSpace' 𝕜 E` on EE. In this construction, the L2L_2 norm x2\|x\|_2 is identified with the standard norm x\|x\| of the space, and the underlying inner product core is inherited directly. The requirement for the equivalence between the norm and the inner product is satisfied with constants c=1c = 1 and d=1d = 1, as the identity x2=Rex,x\|x\|^2 = \text{Re} \langle x, x \rangle holds for all xEx \in E.

instance

L2L_2 norm on WithLp 2E\text{WithLp } 2 E via x2=Rex,x\|x\|_2 = \sqrt{\text{Re} \langle x, x \rangle}

#toNormWithL2

For a generalized inner product space EE over a field k\mathbb{k} (typically R\mathbb{R} or C\mathbb{C}), this definition equips the type synonym WithLp 2E\text{WithLp } 2 E with a norm. For any element xWithLp 2Ex \in \text{WithLp } 2 E, its norm is defined as x2=Rex,x\|x\|_2 = \sqrt{\text{Re} \langle x, x \rangle}, where ,\langle \cdot, \cdot \rangle is the inner product provided by the generalized inner product space structure on EE. This definition ensures that the space WithLp 2E\text{WithLp } 2 E is specifically endowed with the L2L_2 norm derived from its inner product.

instance

Inner product on WithLp 2E\text{WithLp } 2 E

#toInnerWithL2

Given a generalized inner product space EE over a field k\mathbb{k} (typically R\mathbb{R} or C\mathbb{C}), this definition equips the type synonym WithLp 2E\text{WithLp } 2 E with an inner product ,\langle \cdot, \cdot \rangle. For any elements x,yWithLp 2Ex, y \in \text{WithLp } 2 E, their inner product is defined as x,y:=ϕ(x),ϕ(y)E\langle x, y \rangle := \langle \phi(x), \phi(y) \rangle_E, where ϕ:WithLp 2EE\phi : \text{WithLp } 2 E \to E is the canonical identity equivalence and ,E\langle \cdot, \cdot \rangle_E is the inner product provided by the generalized inner product space structure on EE.

instance

Normed additive commutative group structure on WithLp 2E\text{WithLp } 2 E via L2L_2 norm

#toNormedAddCommGroupWitL2

Given a generalized inner product space EE over a field k\mathbb{k} (where k\mathbb{k} is R\mathbb{R} or C\mathbb{C}), this definition endows the type synonym WithLp 2E\text{WithLp } 2 E with the structure of a normed additive commutative group. The underlying additive group structure is inherited from EE, and the norm used is the L2L_2 norm, x2=Rex,x\|x\|_2 = \sqrt{\text{Re} \langle x, x \rangle}. This ensures that WithLp 2E\text{WithLp } 2 E satisfies the axioms of a normed group, specifically defining the distance between elements xx and yy as d(x,y)=xy2d(x, y) = \|x - y\|_2.

theorem

x=x2\|x\| = |\|x\|_2| for xWithLp 2Ex \in \text{WithLp } 2 E

#norm_withLp2_eq_norm2

Let EE be a generalized inner product space. For any element xx in the space WithLp 2E\text{WithLp } 2 E, the norm x\|x\| (the default norm of the type synonym) is equal to the absolute value of the L2L_2 norm of the underlying element in EE, denoted by x2\|x\|_2.

instance

L2L_2 normed space structure on WithLp 2E\text{WithLp } 2 E

#toNormedSpaceWithL2

Given a generalized inner product space EE over a field k\mathbb{k} (where k\mathbb{k} is R\mathbb{R} or C\mathbb{C}), this definition endows the type synonym WithLp 2E\text{WithLp } 2 E with the structure of a normed space over k\mathbb{k}. This construction uses the L2L_2 norm derived from the inner product, x2=Rex,x\|x\|_2 = \sqrt{\text{Re} \langle x, x \rangle}, and ensures that the scalar multiplication satisfies the homogeneity property αx=αx\|\alpha \cdot x\| = |\alpha| \cdot \|x\| for all αk\alpha \in \mathbb{k} and xWithLp 2Ex \in \text{WithLp } 2 E.

instance

Inner product space structure on WithLp 2E\text{WithLp } 2 E

#toInnerProductSpaceWithL2

Given a generalized inner product space EE over a field k\mathbb{k} (where k\mathbb{k} is R\mathbb{R} or C\mathbb{C}), this definition endows the type synonym WithLp 2E\text{WithLp } 2 E with the structure of a standard inner product space. The inner product ,\langle \cdot, \cdot \rangle is inherited from the underlying space EE, and the norm is the L2L_2 norm defined by x2=Rex,x\|x\|_2 = \sqrt{\text{Re} \langle x, x \rangle}. This construction ensures that the compatibility condition x22=Rex,x\|x\|_2^2 = \text{Re} \langle x, x \rangle holds for all xWithLp 2Ex \in \text{WithLp } 2 E.

definition

Continuous linear map EWithLp 2EE \to \text{WithLp } 2 E

#toL2

Given a generalized inner product space EE over a field k\mathbb{k} (where k\mathbb{k} is R\mathbb{R} or C\mathbb{C}), let \|\cdot\| be the default norm on EE. This definition defines a continuous linear map from EE to WithLp 2E\text{WithLp } 2 E, where WithLp 2E\text{WithLp } 2 E denotes the same underlying vector space but equipped with the L2L_2 norm x2=Rex,x\|x\|_2 = \sqrt{\text{Re} \langle x, x \rangle}. The map is the identity function on the elements of the space, and it is continuous because the generalized inner product space structure requires the default norm \|\cdot\| and the L2L_2 norm to be topologically equivalent.

definition

Continuous linear map WithLp 2EE\text{WithLp } 2 E \to E

#fromL2

Let EE be a generalized inner product space over a field k\mathbb{k} (where k\mathbb{k} is R\mathbb{R} or C\mathbb{C}). The map `fromL2` is the continuous linear map from WithLp 2E\text{WithLp } 2 E to EE that acts as the identity on the underlying elements. Here, WithLp 2E\text{WithLp } 2 E denotes the space EE equipped with the L2L_2 norm x2=Rex,x\|x\|_2 = \sqrt{\text{Re} \langle x, x \rangle}, while EE carries its original norm \|\cdot\|. The continuity of this map is guaranteed by the requirement in a generalized inner product space that the original norm and the L2L_2 norm are topologically equivalent.

theorem

fromL2 x,y=x,toL2 y\langle \text{fromL2 } x, y \rangle = \langle x, \text{toL2 } y \rangle

#fromL2_inner_left

Let EE be a generalized inner product space over a field k\mathbb{k} (where k\mathbb{k} is R\mathbb{R} or C\mathbb{C}). Let WithLp 2E\text{WithLp } 2 E denote the space EE equipped with the L2L_2 norm x2=Rex,x\|x\|_2 = \sqrt{\text{Re} \langle x, x \rangle}. Let fromL2:WithLp 2EE\text{fromL2} : \text{WithLp } 2 E \to E and toL2:EWithLp 2E\text{toL2} : E \to \text{WithLp } 2 E be the canonical continuous linear maps that act as the identity on the underlying elements. For any xWithLp 2Ex \in \text{WithLp } 2 E and yEy \in E, the following identity holds: fromL2(x),y=x,toL2(y)\langle \text{fromL2}(x), y \rangle = \langle x, \text{toL2}(y) \rangle where the left inner product is the one provided by the structure on EE and the right inner product is the one provided by the structure on WithLp 2E\text{WithLp } 2 E.

theorem

WithLp.ofLp y,x=y,WithLp.toLp 2x\langle \text{WithLp.ofLp } y, x \rangle = \langle y, \text{WithLp.toLp } 2 x \rangle

#ofLp_inner_left

Let EE be a generalized inner product space over a field k\mathbb{k} (where k\mathbb{k} is R\mathbb{R} or C\mathbb{C}). Let WithLp 2E\text{WithLp } 2 E denote the space EE equipped with the L2L_2 norm x2=Rex,x\|x\|_2 = \sqrt{\text{Re} \langle x, x \rangle} and its induced inner product. Let WithLp.ofLp:WithLp 2EE\text{WithLp.ofLp} : \text{WithLp } 2 E \to E and WithLp.toLp 2:EWithLp 2E\text{WithLp.toLp } 2 : E \to \text{WithLp } 2 E be the canonical identity maps between the space EE and its L2L_2 type synonym. For any xEx \in E and yWithLp 2Ey \in \text{WithLp } 2 E, the following identity holds: WithLp.ofLp y,x=y,WithLp.toLp 2x\langle \text{WithLp.ofLp } y, x \rangle = \langle y, \text{WithLp.toLp } 2 x \rangle where the inner product on the left is the one defined on EE, and the inner product on the right is the one defined on WithLp 2E\text{WithLp } 2 E.

theorem

toL2 x,y=x,fromL2 y\langle \text{toL2 } x, y \rangle = \langle x, \text{fromL2 } y \rangle

#toL2_inner_left

Let EE be a generalized inner product space over a field k\mathbb{k} (where k\mathbb{k} is R\mathbb{R} or C\mathbb{C}). Let toL2:EWithLp 2E\text{toL2} : E \to \text{WithLp } 2 E and fromL2:WithLp 2EE\text{fromL2} : \text{WithLp } 2 E \to E be the continuous linear identity maps between EE and the space equipped with the L2L_2 norm x2=Rex,x\|x\|_2 = \sqrt{\text{Re} \langle x, x \rangle}. For any xEx \in E and yWithLp 2Ey \in \text{WithLp } 2 E, the inner product satisfies: toL2 x,y=x,fromL2 y\langle \text{toL2 } x, y \rangle = \langle x, \text{fromL2 } y \rangle where the left-hand side uses the inner product on WithLp 2E\text{WithLp } 2 E and the right-hand side uses the inner product on EE.

theorem

toLp 2y,x=y,ofLp x\langle \text{toLp } 2 y, x \rangle = \langle y, \text{ofLp } x \rangle

#toLp_inner_left

Let EE be a generalized inner product space over a field k\mathbb{k} (where k\mathbb{k} is R\mathbb{R} or C\mathbb{C}). Let WithLp 2E\text{WithLp } 2 E denote the space EE equipped with the L2L_2 norm x2=Rex,x\|x\|_2 = \sqrt{\text{Re} \langle x, x \rangle}. Let WithLp.toLp 2:EWithLp 2E\text{WithLp.toLp } 2 : E \to \text{WithLp } 2 E and WithLp.ofLp:WithLp 2EE\text{WithLp.ofLp} : \text{WithLp } 2 E \to E be the identity maps between the underlying vector spaces. For any yEy \in E and xWithLp 2Ex \in \text{WithLp } 2 E, the inner product satisfies: WithLp.toLp 2y,x=y,WithLp.ofLp x\langle \text{WithLp.toLp } 2 \, y, x \rangle = \langle y, \text{WithLp.ofLp } x \rangle where the left-hand side uses the inner product on WithLp 2E\text{WithLp } 2 E and the right-hand side uses the inner product on EE.

theorem

toL2(fromL2(x))=x\text{toL2}(\text{fromL2}(x)) = x

#toL2_fromL2

Let EE be a generalized inner product space over a field k\mathbb{k} (where k\mathbb{k} is R\mathbb{R} or C\mathbb{C}). Let WithLp 2E\text{WithLp } 2 E denote the space EE equipped with the L2L_2 norm x2=Rex,x\|x\|_2 = \sqrt{\text{Re} \langle x, x \rangle}. Let fromL2:WithLp 2EE\text{fromL2} : \text{WithLp } 2 E \to E and toL2:EWithLp 2E\text{toL2} : E \to \text{WithLp } 2 E be the continuous linear maps that act as the identity on the underlying elements. For any xWithLp 2Ex \in \text{WithLp } 2 E, it holds that toL2(fromL2(x))=x\text{toL2}(\text{fromL2}(x)) = x.

theorem

fromL2(toL2 x)=x\text{fromL2}(\text{toL2 } x) = x

#fromL2_toL2

Let EE be a generalized inner product space over a field k\mathbb{k} (where k\mathbb{k} is R\mathbb{R} or C\mathbb{C}). Let toL2:EWithLp 2E\text{toL2} : E \to \text{WithLp } 2 E be the continuous linear map that acts as the identity on the underlying elements of the vector space, and let fromL2:WithLp 2EE\text{fromL2} : \text{WithLp } 2 E \to E be the corresponding continuous linear map in the opposite direction. For any xEx \in E, it holds that fromL2(toL2 x)=x\text{fromL2}(\text{toL2 } x) = x.

definition

Continuous linear equivalence WithLp 2EE\text{WithLp } 2 E \simeq E

#equivL2

Let EE be a generalized inner product space over a field k\mathbb{k} (where k\mathbb{k} is R\mathbb{R} or C\mathbb{C}). By definition, such a space is equipped with a default norm \|\cdot\| and an inner product ,\langle \cdot, \cdot \rangle that induces an L2L_2 norm x2=Rex,x\|x\|_2 = \sqrt{\text{Re} \langle x, x \rangle} equivalent to \|\cdot\|. The term `equivL2` is the continuous linear equivalence (isomorphism of topological vector spaces) between WithLp 2E\text{WithLp } 2 E, which denotes the space EE equipped with the L2L_2 norm, and the space EE carrying its original norm. The map is defined as the identity on the underlying elements of the vector space.

instance

CompleteSpace E    CompleteSpace (WithLp 2E)\text{CompleteSpace } E \implies \text{CompleteSpace (WithLp } 2 E)

#instCompleteSpaceWithLpOfNatENNReal

Let EE be a generalized inner product space over a field k\mathbb{k} (where k\mathbb{k} is R\mathbb{R} or C\mathbb{C}). If EE is complete with respect to its original norm \|\cdot\|, then it is also a complete space when equipped with the L2L_2 norm x2=Rex,x\|x\|_2 = \sqrt{\text{Re} \langle x, x \rangle} (denoted as WithLp 2E\text{WithLp } 2 E).

theorem

(v,v,x=v,y)    x=y(\forall v, \langle v, x \rangle = \langle v, y \rangle) \implies x = y

#ext_inner_left'

Let EE be a generalized inner product space. For any vectors x,yEx, y \in E, if v,x=v,y\langle v, x \rangle = \langle v, y \rangle for all vEv \in E, then x=yx = y.

theorem

(v,x,v=y,v)    x=y(\forall v, \langle x, v \rangle = \langle y, v \rangle) \implies x = y

#ext_inner_right'

Let EE be a generalized inner product space over a field k\mathbb{k}. For any vectors x,yEx, y \in E, if the inner product x,v\langle x, v \rangle equals y,v\langle y, v \rangle for every vector vEv \in E, then x=yx = y.

theorem

Conjugate symmetry of the inner product: x,y=y,x\langle x, y \rangle = \overline{\langle y, x \rangle}

#inner_conj_symm'

Let EE be a generalized inner product space over a field k\mathbb{k} (typically R\mathbb{R} or C\mathbb{C}). For any vectors x,yEx, y \in E, the inner product satisfies conjugate symmetry: y,x=x,y\overline{\langle y, x \rangle} = \langle x, y \rangle, where z\overline{z} denotes the conjugate of the scalar zz.

theorem

rx,y=rˉx,y\langle r \cdot x, y \rangle = \bar{r} \langle x, y \rangle

#inner_smul_left'

Let EE be a generalized inner product space over a field k\mathbb{k} (where k\mathbb{k} is either R\mathbb{R} or C\mathbb{C}). For any vectors x,yEx, y \in E and any scalar rkr \in \mathbb{k}, the inner product of rxr \cdot x with yy satisfies rx,y=rˉx,y\langle r \cdot x, y \rangle = \bar{r} \langle x, y \rangle, where rˉ\bar{r} denotes the conjugate of the scalar rr.

theorem

Linearity of the inner product in the right argument: x,ry=rx,y\langle x, r \cdot y \rangle = r \langle x, y \rangle

#inner_smul_right'

Let EE be a generalized inner product space over the field k\mathbb{k} (where k\mathbb{k} is R\mathbb{R} or C\mathbb{C}). For any vectors x,yEx, y \in E and any scalar rkr \in \mathbb{k}, the inner product ,\langle \cdot, \cdot \rangle is linear in its second argument, satisfying the identity x,ry=rx,y\langle x, r \cdot y \rangle = r \langle x, y \rangle.

theorem

0,x=0\langle 0, x \rangle = 0

#inner_zero_left'

In a generalized inner product space EE over a field k\mathbb{k}, for any vector xEx \in E, the inner product of the zero vector with xx is zero, denoted as 0,x=0\langle 0, x \rangle = 0.

theorem

x,0=0\langle x, 0 \rangle = 0

#inner_zero_right'

Let EE be a generalized inner product space over a field k\mathbb{k}. For any vector xEx \in E, the inner product of xx with the zero vector on the right is zero, i.e., x,0=0\langle x, 0 \rangle = 0.

theorem

x+y,z=x,z+y,z\langle x + y, z \rangle = \langle x, z \rangle + \langle y, z \rangle

#inner_add_left'

In a generalized inner product space EE over a field k\mathbb{k}, for any vectors x,y,zEx, y, z \in E, the inner product satisfies the left-additivity property: x+y,z=x,z+y,z\langle x + y, z \rangle = \langle x, z \rangle + \langle y, z \rangle.

theorem

x,y+z=x,y+x,z\langle x, y + z \rangle = \langle x, y \rangle + \langle x, z \rangle

#inner_add_right'

In a generalized inner product space EE, for any vectors x,y,zEx, y, z \in E, the inner product is additive in the second argument, meaning x,y+z=x,y+x,z\langle x, y + z \rangle = \langle x, y \rangle + \langle x, z \rangle.

theorem

xy,z=x,zy,z\langle x - y, z \rangle = \langle x, z \rangle - \langle y, z \rangle

#inner_sub_left'

In a generalized inner product space EE over a field k\mathbb{k}, for any elements x,y,zEx, y, z \in E, the inner product ,\langle \cdot, \cdot \rangle satisfies the identity xy,z=x,zy,z\langle x - y, z \rangle = \langle x, z \rangle - \langle y, z \rangle.

theorem

x,yz=x,yx,z\langle x, y - z \rangle = \langle x, y \rangle - \langle x, z \rangle

#inner_sub_right'

Let EE be a generalized inner product space over a field k\mathbb{k}. For any vectors x,y,zEx, y, z \in E, the inner product satisfies the distributivity property over subtraction in the second argument: x,yz=x,yx,z\langle x, y - z \rangle = \langle x, y \rangle - \langle x, z \rangle where ,\langle \cdot, \cdot \rangle denotes the inner product provided by the space EE.

theorem

x,y=x,y\langle -x, y \rangle = -\langle x, y \rangle

#inner_neg_left'

Let EE be a generalized inner product space over a field k\mathbb{k}. For any vectors x,yEx, y \in E, the inner product satisfies the identity x,y=x,y\langle -x, y \rangle = -\langle x, y \rangle.

theorem

x,y=x,y\langle x, -y \rangle = -\langle x, y \rangle

#inner_neg_right'

Let EE be a generalized inner product space. For any vectors x,yEx, y \in E, the inner product satisfies the identity x,y=x,y\langle x, -y \rangle = -\langle x, y \rangle.

theorem

x,x=0    x=0\langle x, x \rangle = 0 \iff x = 0

#inner_self_eq_zero'

Let EE be a generalized inner product space over a field k\mathbb{k}. For any xEx \in E, the inner product of xx with itself is zero if and only if xx is the zero vector, i.e., x,x=0    x=0\langle x, x \rangle = 0 \iff x = 0.

theorem

x,igi=ix,gi\langle x, \sum_i g_i \rangle = \sum_i \langle x, g_i \rangle

#inner_sum'

Let EE be a generalized inner product space. For any vector xEx \in E and any finite family of vectors {gi}iI\{g_i\}_{i \in I} in EE, the inner product of xx with the sum of the vectors gig_i is equal to the sum of the inner products of xx with each vector gig_i: x,iIgi=iIx,gi\left\langle x, \sum_{i \in I} g_i \right\rangle = \sum_{i \in I} \langle x, g_i \rangle

theorem

The inner product f,g\langle f, g \rangle is continuous if ff and gg are continuous.

#inner'

Let α\alpha be a topological space and EE be a generalized inner product space over a field k\mathbb{k}. If f:αEf : \alpha \to E and g:αEg : \alpha \to E are continuous functions, then the function mapping each aαa \in \alpha to the inner product f(a),g(a)\langle f(a), g(a) \rangle is continuous.

theorem

Rex,x0\text{Re} \langle x, x \rangle \ge 0

#real_inner_self_nonneg'

For any vector xx in a generalized inner product space FF, the real part of the inner product of xx with itself is non-negative, that is, 0Rex,x0 \le \text{Re} \langle x, x \rangle.

theorem

y,x=x,y\langle y, x \rangle = \langle x, y \rangle for real inner products

#real_inner_comm'

For any elements xx and yy in a real inner product space FF, the inner product is symmetric, satisfying y,x=x,y\langle y, x \rangle = \langle x, y \rangle.

theorem

The inner product of two functions CnC^n at a point is CnC^n at that point

#inner'

Let EE be a normed space and FF be a generalized inner product space. If f:EFf: E \to F and g:EFg: E \to F are nn-times continuously differentiable at a point xEx \in E with respect to the field R\mathbb{R}, then the scalar-valued function mapping xx to the inner product f(x),g(x)\langle f(x), g(x) \rangle is also nn-times continuously differentiable at xx with respect to R\mathbb{R}.

theorem

The inner product of CnC^n functions is CnC^n

#inner'

Let EE be a normed space and FF be a generalized inner product space. If f:EFf: E \to F and g:EFg: E \to F are nn-times continuously differentiable functions (CnC^n functions) over R\mathbb{R}, then the scalar-valued function mapping xx to the inner product f(x),g(x)\langle f(x), g(x) \rangle is also nn-times continuously differentiable over R\mathbb{R}.

instance

Inner product on E×FE \times F as x,x+y,y\langle x, x' \rangle + \langle y, y' \rangle

#instInnerProd_physlib

For any two elements (x,y)(x, y) and (x,y)(x', y') in the product space E×FE \times F, where EE and FF are inner product spaces over a field k\mathbb{k}, the inner product is defined as the sum of the inner products of their components: (x,y),(x,y)=x,x+y,y\langle (x, y), (x', y') \rangle = \langle x, x' \rangle + \langle y, y' \rangle

theorem

x,y=x1,y1+x2,y2\langle x, y \rangle = \langle x_1, y_1 \rangle + \langle x_2, y_2 \rangle in E×FE \times F

#prod_inner_apply'

Let EE and FF be generalized inner product spaces over a field k\mathbb{k}. For any two elements x,yx, y in the product space E×FE \times F, the inner product x,y\langle x, y \rangle is equal to the sum of the inner products of their components: x,y=x1,y1+x2,y2\langle x, y \rangle = \langle x_1, y_1 \rangle + \langle x_2, y_2 \rangle where x=(x1,x2)x = (x_1, x_2) and y=(y1,y2)y = (y_1, y_2), with x1,y1Ex_1, y_1 \in E and x2,y2Fx_2, y_2 \in F.

instance

Generalized inner product space structure on E×FE \times F

#instInnerProductSpace'Prod

For generalized inner product spaces EE and FF over a field k\mathbb{k} (where k\mathbb{k} is R\mathbb{R} or C\mathbb{C}), the product space E×FE \times F is endowed with a generalized inner product space structure. The inner product is defined component-wise as: (x1,y1),(x2,y2)=x1,x2E+y1,y2F\langle (x_1, y_1), (x_2, y_2) \rangle = \langle x_1, x_2 \rangle_E + \langle y_1, y_2 \rangle_F The associated L2L_2 norm on the product space is given by (x,y)2=x22+y22\|(x, y)\|_2 = \sqrt{\|x\|_2^2 + \|y\|_2^2}, where 2\| \cdot \|_2 denotes the L2L_2 norms of the respective spaces. This construction satisfies the required equivalence condition with the standard product norm (x,y)=max(x,y)\|(x, y)\| = \max(\|x\|, \|y\|), meaning there exist constants c,d>0c, d > 0 such that c(x,y)2Re(x,y),(x,y)d(x,y)2c \|(x, y)\|^2 \le \text{Re} \langle (x, y), (x, y) \rangle \le d \|(x, y)\|^2 for all (x,y)E×F(x, y) \in E \times F.

instance

Generalized inner product space structure on ιE\iota \to E

#instInnerProductSpace'Forall

Let ι\iota be a finite index set and EE be a generalized inner product space over a field k\mathbb{k} (where k\mathbb{k} is R\mathbb{R} or C\mathbb{C}). The space of functions ιE\iota \to E (the product space iιE\prod_{i \in \iota} E) is itself a generalized inner product space. The inner product of two elements x,yιEx, y \in \iota \to E is defined as the sum of the inner products of their components: x,y=iιxi,yi\langle x, y \rangle = \sum_{i \in \iota} \langle x_i, y_i \rangle The associated L2L_2 norm for this space is given by x2=iιxi22\|x\|_2 = \sqrt{\sum_{i \in \iota} \|x_i\|_2^2} where xi2=Rexi,xi\|x_i\|_2 = \sqrt{\text{Re} \langle x_i, x_i \rangle} is the L2L_2 norm on EE. This structure satisfies the requirement that the inner product is equivalent to the standard product norm (supremum norm) on ιE\iota \to E.

theorem

The inner product ,\langle \cdot, \cdot \rangle is a bounded bilinear map

#isBoundedBilinearMap_inner'

In a generalized inner product space EE over a field k\mathbb{k} (where k\mathbb{k} is R\mathbb{R} or C\mathbb{C}), the inner product operation (x,y)x,y(x, y) \mapsto \langle x, y \rangle is a bounded bilinear map over R\mathbb{R}.