Documentation

Mathlib.Analysis.NormedSpace.OperatorNorm.Mul

Results about operator norms in normed algebras #

This file (split off from OperatorNorm.lean) contains results about the operator norm of multiplication and scalar-multiplication operations in normed algebras and normed modules.

noncomputable def ContinuousLinearMap.mul (𝕜 : Type u_1) [NontriviallyNormedField 𝕜] (R : Type u_3) [NonUnitalSeminormedRing R] [NormedSpace 𝕜 R] [IsScalarTower 𝕜 R R] [SMulCommClass 𝕜 R R] :
R →L[𝕜] R →L[𝕜] R

Multiplication in a non-unital normed algebra as a continuous bilinear map.

Equations
    Instances For
      @[simp]
      theorem ContinuousLinearMap.mul_apply' (𝕜 : Type u_1) [NontriviallyNormedField 𝕜] (R : Type u_3) [NonUnitalSeminormedRing R] [NormedSpace 𝕜 R] [IsScalarTower 𝕜 R R] [SMulCommClass 𝕜 R R] (x y : R) :
      ((mul 𝕜 R) x) y = x * y
      @[simp]
      theorem ContinuousLinearMap.opNorm_mul_apply_le (𝕜 : Type u_1) [NontriviallyNormedField 𝕜] (R : Type u_3) [NonUnitalSeminormedRing R] [NormedSpace 𝕜 R] [IsScalarTower 𝕜 R R] [SMulCommClass 𝕜 R R] (x : R) :
      (mul 𝕜 R) x x
      noncomputable def NonUnitalAlgHom.Lmul (𝕜 : Type u_1) [NontriviallyNormedField 𝕜] (R : Type u_3) [NonUnitalSeminormedRing R] [NormedSpace 𝕜 R] [IsScalarTower 𝕜 R R] [SMulCommClass 𝕜 R R] :
      R →ₙₐ[𝕜] R →L[𝕜] R

      Multiplication on the left in a non-unital normed algebra R as a non-unital algebra homomorphism into the algebra of continuous linear maps. This is the left regular representation of A acting on itself.

      This has more algebraic structure than ContinuousLinearMap.mul, but there is no longer continuity bundled in the first coordinate. An alternative viewpoint is that this upgrades NonUnitalAlgHom.lmul from a homomorphism into linear maps to a homomorphism into continuous linear maps.

      Equations
        Instances For
          @[simp]
          theorem NonUnitalAlgHom.coe_Lmul {𝕜 : Type u_1} [NontriviallyNormedField 𝕜] {R : Type u_3} [NonUnitalSeminormedRing R] [NormedSpace 𝕜 R] [IsScalarTower 𝕜 R R] [SMulCommClass 𝕜 R R] :
          (Lmul 𝕜 R) = (ContinuousLinearMap.mul 𝕜 R)
          noncomputable def ContinuousLinearMap.mulLeftRight (𝕜 : Type u_1) [NontriviallyNormedField 𝕜] (R : Type u_3) [NonUnitalSeminormedRing R] [NormedSpace 𝕜 R] [IsScalarTower 𝕜 R R] [SMulCommClass 𝕜 R R] :
          R →L[𝕜] R →L[𝕜] R →L[𝕜] R

          Simultaneous left- and right-multiplication in a non-unital normed algebra, considered as a continuous trilinear map. This is akin to its non-continuous version LinearMap.mulLeftRight, but there is a minor difference: LinearMap.mulLeftRight is uncurried.

          Equations
            Instances For
              @[simp]
              theorem ContinuousLinearMap.mulLeftRight_apply (𝕜 : Type u_1) [NontriviallyNormedField 𝕜] (R : Type u_3) [NonUnitalSeminormedRing R] [NormedSpace 𝕜 R] [IsScalarTower 𝕜 R R] [SMulCommClass 𝕜 R R] (x y z : R) :
              (((mulLeftRight 𝕜 R) x) y) z = x * z * y
              class RegularNormedAlgebra (𝕜 : Type u_1) [NontriviallyNormedField 𝕜] (R : Type u_3) [NonUnitalSeminormedRing R] [NormedSpace 𝕜 R] [IsScalarTower 𝕜 R R] [SMulCommClass 𝕜 R R] :

              This is a mixin class for non-unital normed algebras which states that the left-regular representation of the algebra on itself is isometric. Every unital normed algebra with ‖1‖ = 1 is a regular normed algebra (see NormedAlgebra.instRegularNormedAlgebra). In addition, so is every C⋆-algebra, non-unital included (see CStarRing.instRegularNormedAlgebra), but there are yet other examples. Any algebra with an approximate identity (e.g., $$L^1$$) is also regular.

              This is a useful class because it gives rise to a nice norm on the unitization; in particular it is a C⋆-norm when the norm on A is a C⋆-norm.

              Instances

                Every (unital) normed algebra such that ‖1‖ = 1 is a RegularNormedAlgebra.

                @[simp]
                theorem ContinuousLinearMap.opNorm_mul_apply (𝕜 : Type u_1) [NontriviallyNormedField 𝕜] (R : Type u_3) [NonUnitalSeminormedRing R] [NormedSpace 𝕜 R] [IsScalarTower 𝕜 R R] [SMulCommClass 𝕜 R R] [RegularNormedAlgebra 𝕜 R] (x : R) :
                (mul 𝕜 R) x = x
                @[simp]
                theorem ContinuousLinearMap.opNNNorm_mul_apply (𝕜 : Type u_1) [NontriviallyNormedField 𝕜] (R : Type u_3) [NonUnitalSeminormedRing R] [NormedSpace 𝕜 R] [IsScalarTower 𝕜 R R] [SMulCommClass 𝕜 R R] [RegularNormedAlgebra 𝕜 R] (x : R) :
                noncomputable def ContinuousLinearMap.mulₗᵢ (𝕜 : Type u_1) [NontriviallyNormedField 𝕜] (R : Type u_3) [NonUnitalSeminormedRing R] [NormedSpace 𝕜 R] [IsScalarTower 𝕜 R R] [SMulCommClass 𝕜 R R] [RegularNormedAlgebra 𝕜 R] :
                R →ₗᵢ[𝕜] R →L[𝕜] R

                Multiplication in a normed algebra as a linear isometry to the space of continuous linear maps.

                Equations
                  Instances For
                    @[simp]
                    theorem ContinuousLinearMap.coe_mulₗᵢ (𝕜 : Type u_1) [NontriviallyNormedField 𝕜] (R : Type u_3) [NonUnitalSeminormedRing R] [NormedSpace 𝕜 R] [IsScalarTower 𝕜 R R] [SMulCommClass 𝕜 R R] [RegularNormedAlgebra 𝕜 R] :
                    (mulₗᵢ 𝕜 R) = (mul 𝕜 R)
                    @[simp]
                    theorem ContinuousLinearMap.flip_mul {𝕜 : Type u_1} [NontriviallyNormedField 𝕜] {R : Type u_3} [NonUnitalSeminormedCommRing R] [NormedSpace 𝕜 R] [IsScalarTower 𝕜 R R] [SMulCommClass 𝕜 R R] :
                    (mul 𝕜 R).flip = mul 𝕜 R
                    noncomputable def ContinuousLinearMap.ring_lmap_equiv_selfₗ (𝕜 : Type u_1) (E : Type u_2) [NontriviallyNormedField 𝕜] [SeminormedAddCommGroup E] [NormedSpace 𝕜 E] :
                    (𝕜 →L[𝕜] E) ≃ₗ[𝕜] E

                    If M is a normed space over 𝕜, then the space of maps 𝕜 →L[𝕜] M is linearly equivalent to M. (See ring_lmap_equiv_self for a stronger statement.)

                    Equations
                      Instances For
                        noncomputable def ContinuousLinearMap.ring_lmap_equiv_self (𝕜 : Type u_1) (E : Type u_2) [NontriviallyNormedField 𝕜] [SeminormedAddCommGroup E] [NormedSpace 𝕜 E] :
                        (𝕜 →L[𝕜] E) ≃ₗᵢ[𝕜] E

                        If M is a normed space over 𝕜, then the space of maps 𝕜 →L[𝕜] M is linearly isometrically equivalent to M.

                        Equations
                          Instances For
                            noncomputable def ContinuousLinearMap.lsmul (𝕜 : Type u_1) {E : Type u_2} [NontriviallyNormedField 𝕜] [SeminormedAddCommGroup E] [NormedSpace 𝕜 E] (R : Type u_3) [NormedField R] [NormedAlgebra 𝕜 R] [NormedSpace R E] [IsScalarTower 𝕜 R E] :
                            R →L[𝕜] E →L[𝕜] E

                            Scalar multiplication as a continuous bilinear map.

                            Equations
                              Instances For
                                @[simp]
                                theorem ContinuousLinearMap.lsmul_apply (𝕜 : Type u_1) {E : Type u_2} [NontriviallyNormedField 𝕜] [SeminormedAddCommGroup E] [NormedSpace 𝕜 E] (R : Type u_3) [NormedField R] [NormedAlgebra 𝕜 R] [NormedSpace R E] [IsScalarTower 𝕜 R E] (c : R) (x : E) :
                                ((lsmul 𝕜 R) c) x = c x
                                theorem ContinuousLinearMap.comp_lsmul_flip_apply {𝕜 : Type u_1} {E : Type u_2} [NontriviallyNormedField 𝕜] [SeminormedAddCommGroup E] [NormedSpace 𝕜 E] {F : Type u_4} [SeminormedAddCommGroup F] [NormedSpace 𝕜 F] (f : E →L[𝕜] F) (x : E) :
                                f.comp ((lsmul 𝕜 𝕜).flip x) = (lsmul 𝕜 𝕜).flip (f x)
                                theorem ContinuousLinearMap.lsmul_flip_inj {𝕜 : Type u_1} {E : Type u_2} [NontriviallyNormedField 𝕜] [SeminormedAddCommGroup E] [NormedSpace 𝕜 E] (R : Type u_3) [NormedField R] [NormedAlgebra 𝕜 R] [NormedSpace R E] [IsScalarTower 𝕜 R E] {x y : E} :
                                (lsmul 𝕜 R).flip x = (lsmul 𝕜 R).flip y x = y
                                theorem ContinuousLinearMap.opNorm_lsmul_apply_le {𝕜 : Type u_1} {E : Type u_2} [NontriviallyNormedField 𝕜] [SeminormedAddCommGroup E] [NormedSpace 𝕜 E] {R : Type u_3} [NormedField R] [NormedAlgebra 𝕜 R] [NormedSpace R E] [IsScalarTower 𝕜 R E] (x : R) :
                                (lsmul 𝕜 R) x x
                                theorem ContinuousLinearMap.opNorm_lsmul_le {𝕜 : Type u_1} {E : Type u_2} [NontriviallyNormedField 𝕜] [SeminormedAddCommGroup E] [NormedSpace 𝕜 E] {R : Type u_3} [NormedField R] [NormedAlgebra 𝕜 R] [NormedSpace R E] [IsScalarTower 𝕜 R E] :
                                lsmul 𝕜 R 1

                                The norm of lsmul is at most 1 in any semi-normed group.

                                @[simp]
                                theorem ContinuousLinearMap.opNorm_mul (𝕜 : Type u_1) [NontriviallyNormedField 𝕜] (R : Type u_3) [NonUnitalNormedRing R] [NormedSpace 𝕜 R] [IsScalarTower 𝕜 R R] [SMulCommClass 𝕜 R R] [RegularNormedAlgebra 𝕜 R] [Nontrivial R] :
                                mul 𝕜 R = 1
                                @[simp]
                                @[simp]
                                theorem ContinuousLinearMap.opNorm_lsmul (𝕜 : Type u_1) {E : Type u_2} [NontriviallyNormedField 𝕜] [NormedAddCommGroup E] [NormedSpace 𝕜 E] (R : Type u_3) [NormedField R] [NormedAlgebra 𝕜 R] [NormedSpace R E] [IsScalarTower 𝕜 R E] [Nontrivial E] :
                                lsmul 𝕜 R = 1

                                The norm of lsmul equals 1 in any nontrivial normed group.

                                This is ContinuousLinearMap.opNorm_lsmul_le as an equality.