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Type | Label | Description |
---|---|---|
Statement | ||
Theorem | cncms 24801 | The field of complex numbers is a complete metric space. (Contributed by Mario Carneiro, 15-Oct-2015.) |
⊢ ℂfld ∈ CMetSp | ||
Theorem | cnflduss 24802 | The uniform structure of the complex numbers. (Contributed by Thierry Arnoux, 17-Dec-2017.) (Revised by Thierry Arnoux, 11-Mar-2018.) |
⊢ 𝑈 = (UnifSt‘ℂfld) ⇒ ⊢ 𝑈 = (metUnif‘(abs ∘ − )) | ||
Theorem | cnfldcusp 24803 | The field of complex numbers is a complete uniform space. (Contributed by Thierry Arnoux, 17-Dec-2017.) |
⊢ ℂfld ∈ CUnifSp | ||
Theorem | resscdrg 24804 | The real numbers are a subset of any complete subfield in the complex numbers. (Contributed by Mario Carneiro, 15-Oct-2015.) |
⊢ 𝐹 = (ℂfld ↾s 𝐾) ⇒ ⊢ ((𝐾 ∈ (SubRing‘ℂfld) ∧ 𝐹 ∈ DivRing ∧ 𝐹 ∈ CMetSp) → ℝ ⊆ 𝐾) | ||
Theorem | cncdrg 24805 | The only complete subfields of the complex numbers are ℝ and ℂ. (Contributed by Mario Carneiro, 15-Oct-2015.) |
⊢ 𝐹 = (ℂfld ↾s 𝐾) ⇒ ⊢ ((𝐾 ∈ (SubRing‘ℂfld) ∧ 𝐹 ∈ DivRing ∧ 𝐹 ∈ CMetSp) → 𝐾 ∈ {ℝ, ℂ}) | ||
Theorem | srabn 24806 | The subring algebra over a complete normed ring is a Banach space iff the subring is a closed division ring. (Contributed by Mario Carneiro, 15-Oct-2015.) |
⊢ 𝐴 = ((subringAlg ‘𝑊)‘𝑆) & ⊢ 𝐽 = (TopOpen‘𝑊) ⇒ ⊢ ((𝑊 ∈ NrmRing ∧ 𝑊 ∈ CMetSp ∧ 𝑆 ∈ (SubRing‘𝑊)) → (𝐴 ∈ Ban ↔ (𝑆 ∈ (Clsd‘𝐽) ∧ (𝑊 ↾s 𝑆) ∈ DivRing))) | ||
Theorem | rlmbn 24807 | The ring module over a complete normed division ring is a Banach space. (Contributed by Mario Carneiro, 15-Oct-2015.) |
⊢ ((𝑅 ∈ NrmRing ∧ 𝑅 ∈ DivRing ∧ 𝑅 ∈ CMetSp) → (ringLMod‘𝑅) ∈ Ban) | ||
Theorem | ishl 24808 | The predicate "is a subcomplex Hilbert space". A Hilbert space is a Banach space which is also an inner product space, i.e. whose norm satisfies the parallelogram law. (Contributed by Steve Rodriguez, 28-Apr-2007.) (Revised by Mario Carneiro, 15-Oct-2015.) |
⊢ (𝑊 ∈ ℂHil ↔ (𝑊 ∈ Ban ∧ 𝑊 ∈ ℂPreHil)) | ||
Theorem | hlbn 24809 | Every subcomplex Hilbert space is a Banach space. (Contributed by Steve Rodriguez, 28-Apr-2007.) |
⊢ (𝑊 ∈ ℂHil → 𝑊 ∈ Ban) | ||
Theorem | hlcph 24810 | Every subcomplex Hilbert space is a subcomplex pre-Hilbert space. (Contributed by Mario Carneiro, 15-Oct-2015.) |
⊢ (𝑊 ∈ ℂHil → 𝑊 ∈ ℂPreHil) | ||
Theorem | hlphl 24811 | Every subcomplex Hilbert space is an inner product space (also called a pre-Hilbert space). (Contributed by NM, 28-Apr-2007.) (Revised by Mario Carneiro, 15-Oct-2015.) |
⊢ (𝑊 ∈ ℂHil → 𝑊 ∈ PreHil) | ||
Theorem | hlcms 24812 | Every subcomplex Hilbert space is a complete metric space. (Contributed by Mario Carneiro, 17-Oct-2015.) |
⊢ (𝑊 ∈ ℂHil → 𝑊 ∈ CMetSp) | ||
Theorem | hlprlem 24813 | Lemma for hlpr 24815. (Contributed by Mario Carneiro, 15-Oct-2015.) |
⊢ 𝐹 = (Scalar‘𝑊) & ⊢ 𝐾 = (Base‘𝐹) ⇒ ⊢ (𝑊 ∈ ℂHil → (𝐾 ∈ (SubRing‘ℂfld) ∧ (ℂfld ↾s 𝐾) ∈ DivRing ∧ (ℂfld ↾s 𝐾) ∈ CMetSp)) | ||
Theorem | hlress 24814 | The scalar field of a subcomplex Hilbert space contains ℝ. (Contributed by Mario Carneiro, 8-Oct-2015.) |
⊢ 𝐹 = (Scalar‘𝑊) & ⊢ 𝐾 = (Base‘𝐹) ⇒ ⊢ (𝑊 ∈ ℂHil → ℝ ⊆ 𝐾) | ||
Theorem | hlpr 24815 | The scalar field of a subcomplex Hilbert space is either ℝ or ℂ. (Contributed by Mario Carneiro, 15-Oct-2015.) |
⊢ 𝐹 = (Scalar‘𝑊) & ⊢ 𝐾 = (Base‘𝐹) ⇒ ⊢ (𝑊 ∈ ℂHil → 𝐾 ∈ {ℝ, ℂ}) | ||
Theorem | ishl2 24816 | A Hilbert space is a complete subcomplex pre-Hilbert space over ℝ or ℂ. (Contributed by Mario Carneiro, 15-Oct-2015.) |
⊢ 𝐹 = (Scalar‘𝑊) & ⊢ 𝐾 = (Base‘𝐹) ⇒ ⊢ (𝑊 ∈ ℂHil ↔ (𝑊 ∈ CMetSp ∧ 𝑊 ∈ ℂPreHil ∧ 𝐾 ∈ {ℝ, ℂ})) | ||
Theorem | cphssphl 24817 | A Banach subspace of a subcomplex pre-Hilbert space is a subcomplex Hilbert space. (Contributed by NM, 11-Apr-2008.) (Revised by AV, 25-Sep-2022.) |
⊢ 𝑋 = (𝑊 ↾s 𝑈) & ⊢ 𝑆 = (LSubSp‘𝑊) ⇒ ⊢ ((𝑊 ∈ ℂPreHil ∧ 𝑈 ∈ 𝑆 ∧ 𝑋 ∈ Ban) → 𝑋 ∈ ℂHil) | ||
Theorem | cmslssbn 24818 | A complete linear subspace of a normed vector space is a Banach space. We furthermore have to assume that the field of scalars is complete since this is a requirement in the current definition of Banach spaces df-bn 24782. (Contributed by AV, 8-Oct-2022.) |
⊢ 𝑋 = (𝑊 ↾s 𝑈) & ⊢ 𝑆 = (LSubSp‘𝑊) ⇒ ⊢ (((𝑊 ∈ NrmVec ∧ (Scalar‘𝑊) ∈ CMetSp) ∧ (𝑋 ∈ CMetSp ∧ 𝑈 ∈ 𝑆)) → 𝑋 ∈ Ban) | ||
Theorem | cmscsscms 24819 | A closed subspace of a complete metric space which is also a subcomplex pre-Hilbert space is a complete metric space. Remark: the assumption that the Banach space must be a (subcomplex) pre-Hilbert space is required because the definition of ClSubSp is based on an inner product. If ClSubSp was generalized to arbitrary topological spaces (or at least topological modules), this assumption could be omitted. (Contributed by AV, 8-Oct-2022.) |
⊢ 𝑋 = (𝑊 ↾s 𝑈) & ⊢ 𝑆 = (ClSubSp‘𝑊) ⇒ ⊢ (((𝑊 ∈ CMetSp ∧ 𝑊 ∈ ℂPreHil) ∧ 𝑈 ∈ 𝑆) → 𝑋 ∈ CMetSp) | ||
Theorem | bncssbn 24820 | A closed subspace of a Banach space which is also a subcomplex pre-Hilbert space is a Banach space. Remark: the assumption that the Banach space must be a (subcomplex) pre-Hilbert space is required because the definition of ClSubSp is based on an inner product. If ClSubSp was generalized for arbitrary topological spaces, this assuption could be omitted. (Contributed by AV, 8-Oct-2022.) |
⊢ 𝑋 = (𝑊 ↾s 𝑈) & ⊢ 𝑆 = (ClSubSp‘𝑊) ⇒ ⊢ (((𝑊 ∈ Ban ∧ 𝑊 ∈ ℂPreHil) ∧ 𝑈 ∈ 𝑆) → 𝑋 ∈ Ban) | ||
Theorem | cssbn 24821 | A complete subspace of a normed vector space with a complete scalar field is a Banach space. Remark: In contrast to ClSubSp, a complete subspace is defined by "a linear subspace in which all Cauchy sequences converge to a point in the subspace". This is closer to the original, but deprecated definition Cℋ (df-ch 30337) of closed subspaces of a Hilbert space. It may be superseded by cmslssbn 24818. (Contributed by NM, 10-Apr-2008.) (Revised by AV, 6-Oct-2022.) |
⊢ 𝑋 = (𝑊 ↾s 𝑈) & ⊢ 𝑆 = (LSubSp‘𝑊) & ⊢ 𝐷 = ((dist‘𝑊) ↾ (𝑈 × 𝑈)) ⇒ ⊢ (((𝑊 ∈ NrmVec ∧ (Scalar‘𝑊) ∈ CMetSp ∧ 𝑈 ∈ 𝑆) ∧ (Cau‘𝐷) ⊆ dom (⇝𝑡‘(MetOpen‘𝐷))) → 𝑋 ∈ Ban) | ||
Theorem | csschl 24822 | A complete subspace of a complex pre-Hilbert space is a complex Hilbert space. Remarks: (a) In contrast to ClSubSp, a complete subspace is defined by "a linear subspace in which all Cauchy sequences converge to a point in the subspace". This is closer to the original, but deprecated definition Cℋ (df-ch 30337) of closed subspaces of a Hilbert space. (b) This theorem does not hold for arbitrary subcomplex (pre-)Hilbert spaces, because the scalar field as restriction of the field of the complex numbers need not be closed. (Contributed by NM, 10-Apr-2008.) (Revised by AV, 6-Oct-2022.) |
⊢ 𝑋 = (𝑊 ↾s 𝑈) & ⊢ 𝑆 = (LSubSp‘𝑊) & ⊢ 𝐷 = ((dist‘𝑊) ↾ (𝑈 × 𝑈)) & ⊢ (Scalar‘𝑊) = ℂfld ⇒ ⊢ ((𝑊 ∈ ℂPreHil ∧ 𝑈 ∈ 𝑆 ∧ (Cau‘𝐷) ⊆ dom (⇝𝑡‘(MetOpen‘𝐷))) → (𝑋 ∈ ℂHil ∧ (Scalar‘𝑋) = ℂfld)) | ||
Theorem | cmslsschl 24823 | A complete linear subspace of a subcomplex Hilbert space is a subcomplex Hilbert space. (Contributed by AV, 8-Oct-2022.) |
⊢ 𝑋 = (𝑊 ↾s 𝑈) & ⊢ 𝑆 = (LSubSp‘𝑊) ⇒ ⊢ ((𝑊 ∈ ℂHil ∧ 𝑋 ∈ CMetSp ∧ 𝑈 ∈ 𝑆) → 𝑋 ∈ ℂHil) | ||
Theorem | chlcsschl 24824 | A closed subspace of a subcomplex Hilbert space is a subcomplex Hilbert space. (Contributed by NM, 10-Apr-2008.) (Revised by AV, 8-Oct-2022.) |
⊢ 𝑋 = (𝑊 ↾s 𝑈) & ⊢ 𝑆 = (ClSubSp‘𝑊) ⇒ ⊢ ((𝑊 ∈ ℂHil ∧ 𝑈 ∈ 𝑆) → 𝑋 ∈ ℂHil) | ||
Theorem | retopn 24825 | The topology of the real numbers. (Contributed by Thierry Arnoux, 30-Jun-2019.) |
⊢ (topGen‘ran (,)) = (TopOpen‘ℝfld) | ||
Theorem | recms 24826 | The real numbers form a complete metric space. (Contributed by Thierry Arnoux, 1-Nov-2017.) |
⊢ ℝfld ∈ CMetSp | ||
Theorem | reust 24827 | The Uniform structure of the real numbers. (Contributed by Thierry Arnoux, 14-Feb-2018.) |
⊢ (UnifSt‘ℝfld) = (metUnif‘((dist‘ℝfld) ↾ (ℝ × ℝ))) | ||
Theorem | recusp 24828 | The real numbers form a complete uniform space. (Contributed by Thierry Arnoux, 17-Dec-2017.) |
⊢ ℝfld ∈ CUnifSp | ||
Syntax | crrx 24829 | Extend class notation with generalized real Euclidean spaces. |
class ℝ^ | ||
Syntax | cehl 24830 | Extend class notation with real Euclidean spaces. |
class 𝔼hil | ||
Definition | df-rrx 24831 | Define the function associating with a set the free real vector space on that set, equipped with the natural inner product and norm. This is the direct sum of copies of the field of real numbers indexed by that set. We call it here a "generalized real Euclidean space", but note that it need not be complete (for instance if the given set is infinite countable). (Contributed by Thierry Arnoux, 16-Jun-2019.) |
⊢ ℝ^ = (𝑖 ∈ V ↦ (toℂPreHil‘(ℝfld freeLMod 𝑖))) | ||
Definition | df-ehl 24832 | Define a function generating the real Euclidean spaces of finite dimension. The case 𝑛 = 0 corresponds to a space of dimension 0, that is, limited to a neutral element (see ehl0 24863). Members of this family of spaces are Hilbert spaces, as shown in - ehlhl . (Contributed by Thierry Arnoux, 16-Jun-2019.) |
⊢ 𝔼hil = (𝑛 ∈ ℕ0 ↦ (ℝ^‘(1...𝑛))) | ||
Theorem | rrxval 24833 | Value of the generalized Euclidean space. (Contributed by Thierry Arnoux, 16-Jun-2019.) |
⊢ 𝐻 = (ℝ^‘𝐼) ⇒ ⊢ (𝐼 ∈ 𝑉 → 𝐻 = (toℂPreHil‘(ℝfld freeLMod 𝐼))) | ||
Theorem | rrxbase 24834* | The base of the generalized real Euclidean space is the set of functions with finite support. (Contributed by Thierry Arnoux, 16-Jun-2019.) (Proof shortened by AV, 22-Jul-2019.) |
⊢ 𝐻 = (ℝ^‘𝐼) & ⊢ 𝐵 = (Base‘𝐻) ⇒ ⊢ (𝐼 ∈ 𝑉 → 𝐵 = {𝑓 ∈ (ℝ ↑m 𝐼) ∣ 𝑓 finSupp 0}) | ||
Theorem | rrxprds 24835 | Expand the definition of the generalized real Euclidean spaces. (Contributed by Thierry Arnoux, 16-Jun-2019.) |
⊢ 𝐻 = (ℝ^‘𝐼) & ⊢ 𝐵 = (Base‘𝐻) ⇒ ⊢ (𝐼 ∈ 𝑉 → 𝐻 = (toℂPreHil‘((ℝfldXs(𝐼 × {((subringAlg ‘ℝfld)‘ℝ)})) ↾s 𝐵))) | ||
Theorem | rrxip 24836* | The inner product of the generalized real Euclidean spaces. (Contributed by Thierry Arnoux, 16-Jun-2019.) |
⊢ 𝐻 = (ℝ^‘𝐼) & ⊢ 𝐵 = (Base‘𝐻) ⇒ ⊢ (𝐼 ∈ 𝑉 → (𝑓 ∈ (ℝ ↑m 𝐼), 𝑔 ∈ (ℝ ↑m 𝐼) ↦ (ℝfld Σg (𝑥 ∈ 𝐼 ↦ ((𝑓‘𝑥) · (𝑔‘𝑥))))) = (·𝑖‘𝐻)) | ||
Theorem | rrxnm 24837* | The norm of the generalized real Euclidean spaces. (Contributed by Thierry Arnoux, 16-Jun-2019.) |
⊢ 𝐻 = (ℝ^‘𝐼) & ⊢ 𝐵 = (Base‘𝐻) ⇒ ⊢ (𝐼 ∈ 𝑉 → (𝑓 ∈ 𝐵 ↦ (√‘(ℝfld Σg (𝑥 ∈ 𝐼 ↦ ((𝑓‘𝑥)↑2))))) = (norm‘𝐻)) | ||
Theorem | rrxcph 24838 | Generalized Euclidean real spaces are subcomplex pre-Hilbert spaces. (Contributed by Thierry Arnoux, 23-Jun-2019.) (Proof shortened by AV, 22-Jul-2019.) |
⊢ 𝐻 = (ℝ^‘𝐼) & ⊢ 𝐵 = (Base‘𝐻) ⇒ ⊢ (𝐼 ∈ 𝑉 → 𝐻 ∈ ℂPreHil) | ||
Theorem | rrxds 24839* | The distance over generalized Euclidean spaces. Compare with df-rrn 36499. (Contributed by Thierry Arnoux, 20-Jun-2019.) (Proof shortened by AV, 20-Jul-2019.) |
⊢ 𝐻 = (ℝ^‘𝐼) & ⊢ 𝐵 = (Base‘𝐻) ⇒ ⊢ (𝐼 ∈ 𝑉 → (𝑓 ∈ 𝐵, 𝑔 ∈ 𝐵 ↦ (√‘(ℝfld Σg (𝑥 ∈ 𝐼 ↦ (((𝑓‘𝑥) − (𝑔‘𝑥))↑2))))) = (dist‘𝐻)) | ||
Theorem | rrxvsca 24840 | The scalar product over generalized Euclidean spaces is the componentwise real number multiplication. (Contributed by Thierry Arnoux, 18-Jan-2023.) |
⊢ 𝐻 = (ℝ^‘𝐼) & ⊢ 𝐵 = (Base‘𝐻) & ⊢ ∙ = ( ·𝑠 ‘𝐻) & ⊢ (𝜑 → 𝐼 ∈ 𝑉) & ⊢ (𝜑 → 𝐽 ∈ 𝐼) & ⊢ (𝜑 → 𝐴 ∈ ℝ) & ⊢ (𝜑 → 𝑋 ∈ (Base‘𝐻)) ⇒ ⊢ (𝜑 → ((𝐴 ∙ 𝑋)‘𝐽) = (𝐴 · (𝑋‘𝐽))) | ||
Theorem | rrxplusgvscavalb 24841* | The result of the addition combined with scalar multiplication in a generalized Euclidean space is defined by its coordinate-wise operations. (Contributed by AV, 21-Jan-2023.) |
⊢ 𝐻 = (ℝ^‘𝐼) & ⊢ 𝐵 = (Base‘𝐻) & ⊢ ∙ = ( ·𝑠 ‘𝐻) & ⊢ (𝜑 → 𝐼 ∈ 𝑉) & ⊢ (𝜑 → 𝐴 ∈ ℝ) & ⊢ (𝜑 → 𝑋 ∈ 𝐵) & ⊢ (𝜑 → 𝑌 ∈ 𝐵) & ⊢ (𝜑 → 𝑍 ∈ 𝐵) & ⊢ ✚ = (+g‘𝐻) & ⊢ (𝜑 → 𝐶 ∈ ℝ) ⇒ ⊢ (𝜑 → (𝑍 = ((𝐴 ∙ 𝑋) ✚ (𝐶 ∙ 𝑌)) ↔ ∀𝑖 ∈ 𝐼 (𝑍‘𝑖) = ((𝐴 · (𝑋‘𝑖)) + (𝐶 · (𝑌‘𝑖))))) | ||
Theorem | rrxsca 24842 | The field of real numbers is the scalar field of the generalized real Euclidean space. (Contributed by AV, 15-Jan-2023.) |
⊢ 𝐻 = (ℝ^‘𝐼) ⇒ ⊢ (𝐼 ∈ 𝑉 → (Scalar‘𝐻) = ℝfld) | ||
Theorem | rrx0 24843 | The zero ("origin") in a generalized real Euclidean space. (Contributed by AV, 11-Feb-2023.) |
⊢ 𝐻 = (ℝ^‘𝐼) & ⊢ 0 = (𝐼 × {0}) ⇒ ⊢ (𝐼 ∈ 𝑉 → (0g‘𝐻) = 0 ) | ||
Theorem | rrx0el 24844 | The zero ("origin") in a generalized real Euclidean space is an element of its base set. (Contributed by AV, 11-Feb-2023.) |
⊢ 0 = (𝐼 × {0}) & ⊢ 𝑃 = (ℝ ↑m 𝐼) ⇒ ⊢ (𝐼 ∈ 𝑉 → 0 ∈ 𝑃) | ||
Theorem | csbren 24845* | Cauchy-Schwarz-Bunjakovsky inequality for R^n. (Contributed by Jeff Madsen, 2-Sep-2009.) (Revised by Mario Carneiro, 4-Jun-2014.) |
⊢ (𝜑 → 𝐴 ∈ Fin) & ⊢ ((𝜑 ∧ 𝑘 ∈ 𝐴) → 𝐵 ∈ ℝ) & ⊢ ((𝜑 ∧ 𝑘 ∈ 𝐴) → 𝐶 ∈ ℝ) ⇒ ⊢ (𝜑 → (Σ𝑘 ∈ 𝐴 (𝐵 · 𝐶)↑2) ≤ (Σ𝑘 ∈ 𝐴 (𝐵↑2) · Σ𝑘 ∈ 𝐴 (𝐶↑2))) | ||
Theorem | trirn 24846* | Triangle inequality in R^n. (Contributed by Jeff Madsen, 2-Sep-2009.) (Revised by Mario Carneiro, 4-Jun-2014.) |
⊢ (𝜑 → 𝐴 ∈ Fin) & ⊢ ((𝜑 ∧ 𝑘 ∈ 𝐴) → 𝐵 ∈ ℝ) & ⊢ ((𝜑 ∧ 𝑘 ∈ 𝐴) → 𝐶 ∈ ℝ) ⇒ ⊢ (𝜑 → (√‘Σ𝑘 ∈ 𝐴 ((𝐵 + 𝐶)↑2)) ≤ ((√‘Σ𝑘 ∈ 𝐴 (𝐵↑2)) + (√‘Σ𝑘 ∈ 𝐴 (𝐶↑2)))) | ||
Theorem | rrxf 24847* | Euclidean vectors as functions. (Contributed by Thierry Arnoux, 7-Jul-2019.) |
⊢ 𝑋 = {ℎ ∈ (ℝ ↑m 𝐼) ∣ ℎ finSupp 0} & ⊢ (𝜑 → 𝐹 ∈ 𝑋) ⇒ ⊢ (𝜑 → 𝐹:𝐼⟶ℝ) | ||
Theorem | rrxfsupp 24848* | Euclidean vectors are of finite support. (Contributed by Thierry Arnoux, 7-Jul-2019.) |
⊢ 𝑋 = {ℎ ∈ (ℝ ↑m 𝐼) ∣ ℎ finSupp 0} & ⊢ (𝜑 → 𝐹 ∈ 𝑋) ⇒ ⊢ (𝜑 → (𝐹 supp 0) ∈ Fin) | ||
Theorem | rrxsuppss 24849* | Support of Euclidean vectors. (Contributed by Thierry Arnoux, 7-Jul-2019.) |
⊢ 𝑋 = {ℎ ∈ (ℝ ↑m 𝐼) ∣ ℎ finSupp 0} & ⊢ (𝜑 → 𝐹 ∈ 𝑋) ⇒ ⊢ (𝜑 → (𝐹 supp 0) ⊆ 𝐼) | ||
Theorem | rrxmvallem 24850* | Support of the function used for building the distance . (Contributed by Thierry Arnoux, 30-Jun-2019.) |
⊢ 𝑋 = {ℎ ∈ (ℝ ↑m 𝐼) ∣ ℎ finSupp 0} ⇒ ⊢ ((𝐼 ∈ 𝑉 ∧ 𝐹 ∈ 𝑋 ∧ 𝐺 ∈ 𝑋) → ((𝑘 ∈ 𝐼 ↦ (((𝐹‘𝑘) − (𝐺‘𝑘))↑2)) supp 0) ⊆ ((𝐹 supp 0) ∪ (𝐺 supp 0))) | ||
Theorem | rrxmval 24851* | The value of the Euclidean metric. Compare with rrnmval 36501. (Contributed by Thierry Arnoux, 30-Jun-2019.) |
⊢ 𝑋 = {ℎ ∈ (ℝ ↑m 𝐼) ∣ ℎ finSupp 0} & ⊢ 𝐷 = (dist‘(ℝ^‘𝐼)) ⇒ ⊢ ((𝐼 ∈ 𝑉 ∧ 𝐹 ∈ 𝑋 ∧ 𝐺 ∈ 𝑋) → (𝐹𝐷𝐺) = (√‘Σ𝑘 ∈ ((𝐹 supp 0) ∪ (𝐺 supp 0))(((𝐹‘𝑘) − (𝐺‘𝑘))↑2))) | ||
Theorem | rrxmfval 24852* | The value of the Euclidean metric. Compare with rrnval 36500. (Contributed by Thierry Arnoux, 30-Jun-2019.) |
⊢ 𝑋 = {ℎ ∈ (ℝ ↑m 𝐼) ∣ ℎ finSupp 0} & ⊢ 𝐷 = (dist‘(ℝ^‘𝐼)) ⇒ ⊢ (𝐼 ∈ 𝑉 → 𝐷 = (𝑓 ∈ 𝑋, 𝑔 ∈ 𝑋 ↦ (√‘Σ𝑘 ∈ ((𝑓 supp 0) ∪ (𝑔 supp 0))(((𝑓‘𝑘) − (𝑔‘𝑘))↑2)))) | ||
Theorem | rrxmetlem 24853* | Lemma for rrxmet 24854. (Contributed by Thierry Arnoux, 5-Jul-2019.) |
⊢ 𝑋 = {ℎ ∈ (ℝ ↑m 𝐼) ∣ ℎ finSupp 0} & ⊢ 𝐷 = (dist‘(ℝ^‘𝐼)) & ⊢ (𝜑 → 𝐼 ∈ 𝑉) & ⊢ (𝜑 → 𝐹 ∈ 𝑋) & ⊢ (𝜑 → 𝐺 ∈ 𝑋) & ⊢ (𝜑 → 𝐴 ⊆ 𝐼) & ⊢ (𝜑 → 𝐴 ∈ Fin) & ⊢ (𝜑 → ((𝐹 supp 0) ∪ (𝐺 supp 0)) ⊆ 𝐴) ⇒ ⊢ (𝜑 → Σ𝑘 ∈ ((𝐹 supp 0) ∪ (𝐺 supp 0))(((𝐹‘𝑘) − (𝐺‘𝑘))↑2) = Σ𝑘 ∈ 𝐴 (((𝐹‘𝑘) − (𝐺‘𝑘))↑2)) | ||
Theorem | rrxmet 24854* | Euclidean space is a metric space. (Contributed by Jeff Madsen, 2-Sep-2009.) (Proof shortened by Mario Carneiro, 5-Jun-2014.) (Revised by Thierry Arnoux, 30-Jun-2019.) |
⊢ 𝑋 = {ℎ ∈ (ℝ ↑m 𝐼) ∣ ℎ finSupp 0} & ⊢ 𝐷 = (dist‘(ℝ^‘𝐼)) ⇒ ⊢ (𝐼 ∈ 𝑉 → 𝐷 ∈ (Met‘𝑋)) | ||
Theorem | rrxdstprj1 24855* | The distance between two points in Euclidean space is greater than the distance between the projections onto one coordinate. (Contributed by Jeff Madsen, 2-Sep-2009.) (Revised by Mario Carneiro, 13-Sep-2015.) (Revised by Thierry Arnoux, 7-Jul-2019.) |
⊢ 𝑋 = {ℎ ∈ (ℝ ↑m 𝐼) ∣ ℎ finSupp 0} & ⊢ 𝐷 = (dist‘(ℝ^‘𝐼)) & ⊢ 𝑀 = ((abs ∘ − ) ↾ (ℝ × ℝ)) ⇒ ⊢ (((𝐼 ∈ 𝑉 ∧ 𝐴 ∈ 𝐼) ∧ (𝐹 ∈ 𝑋 ∧ 𝐺 ∈ 𝑋)) → ((𝐹‘𝐴)𝑀(𝐺‘𝐴)) ≤ (𝐹𝐷𝐺)) | ||
Theorem | rrxbasefi 24856 | The base of the generalized real Euclidean space, when the dimension of the space is finite. This justifies the use of (ℝ ↑m 𝑋) for the development of the Lebesgue measure theory for n-dimensional real numbers. (Contributed by Glauco Siliprandi, 24-Dec-2020.) |
⊢ (𝜑 → 𝑋 ∈ Fin) & ⊢ 𝐻 = (ℝ^‘𝑋) & ⊢ 𝐵 = (Base‘𝐻) ⇒ ⊢ (𝜑 → 𝐵 = (ℝ ↑m 𝑋)) | ||
Theorem | rrxdsfi 24857* | The distance over generalized Euclidean spaces. Finite dimensional case. (Contributed by Glauco Siliprandi, 24-Dec-2020.) |
⊢ 𝐻 = (ℝ^‘𝐼) & ⊢ 𝐵 = (ℝ ↑m 𝐼) ⇒ ⊢ (𝐼 ∈ Fin → (dist‘𝐻) = (𝑓 ∈ 𝐵, 𝑔 ∈ 𝐵 ↦ (√‘Σ𝑘 ∈ 𝐼 (((𝑓‘𝑘) − (𝑔‘𝑘))↑2)))) | ||
Theorem | rrxmetfi 24858 | Euclidean space is a metric space. Finite dimensional version. (Contributed by Glauco Siliprandi, 24-Dec-2020.) |
⊢ 𝐷 = (dist‘(ℝ^‘𝐼)) ⇒ ⊢ (𝐼 ∈ Fin → 𝐷 ∈ (Met‘(ℝ ↑m 𝐼))) | ||
Theorem | rrxdsfival 24859* | The value of the Euclidean distance function in a generalized real Euclidean space of finite dimension. (Contributed by AV, 15-Jan-2023.) |
⊢ 𝑋 = (ℝ ↑m 𝐼) & ⊢ 𝐷 = (dist‘(ℝ^‘𝐼)) ⇒ ⊢ ((𝐼 ∈ Fin ∧ 𝐹 ∈ 𝑋 ∧ 𝐺 ∈ 𝑋) → (𝐹𝐷𝐺) = (√‘Σ𝑘 ∈ 𝐼 (((𝐹‘𝑘) − (𝐺‘𝑘))↑2))) | ||
Theorem | ehlval 24860 | Value of the Euclidean space of dimension 𝑁. (Contributed by Thierry Arnoux, 16-Jun-2019.) |
⊢ 𝐸 = (𝔼hil‘𝑁) ⇒ ⊢ (𝑁 ∈ ℕ0 → 𝐸 = (ℝ^‘(1...𝑁))) | ||
Theorem | ehlbase 24861 | The base of the Euclidean space is the set of n-tuples of real numbers. (Contributed by Thierry Arnoux, 16-Jun-2019.) |
⊢ 𝐸 = (𝔼hil‘𝑁) ⇒ ⊢ (𝑁 ∈ ℕ0 → (ℝ ↑m (1...𝑁)) = (Base‘𝐸)) | ||
Theorem | ehl0base 24862 | The base of the Euclidean space of dimension 0 consists only of one element, the empty set. (Contributed by AV, 12-Feb-2023.) |
⊢ 𝐸 = (𝔼hil‘0) ⇒ ⊢ (Base‘𝐸) = {∅} | ||
Theorem | ehl0 24863 | The Euclidean space of dimension 0 consists of the neutral element only. (Contributed by AV, 12-Feb-2023.) |
⊢ 𝐸 = (𝔼hil‘0) & ⊢ 0 = (0g‘𝐸) ⇒ ⊢ (Base‘𝐸) = { 0 } | ||
Theorem | ehleudis 24864* | The Euclidean distance function in a real Euclidean space of finite dimension. (Contributed by AV, 15-Jan-2023.) |
⊢ 𝐼 = (1...𝑁) & ⊢ 𝐸 = (𝔼hil‘𝑁) & ⊢ 𝑋 = (ℝ ↑m 𝐼) & ⊢ 𝐷 = (dist‘𝐸) ⇒ ⊢ (𝑁 ∈ ℕ0 → 𝐷 = (𝑓 ∈ 𝑋, 𝑔 ∈ 𝑋 ↦ (√‘Σ𝑘 ∈ 𝐼 (((𝑓‘𝑘) − (𝑔‘𝑘))↑2)))) | ||
Theorem | ehleudisval 24865* | The value of the Euclidean distance function in a real Euclidean space of finite dimension. (Contributed by AV, 15-Jan-2023.) |
⊢ 𝐼 = (1...𝑁) & ⊢ 𝐸 = (𝔼hil‘𝑁) & ⊢ 𝑋 = (ℝ ↑m 𝐼) & ⊢ 𝐷 = (dist‘𝐸) ⇒ ⊢ ((𝑁 ∈ ℕ0 ∧ 𝐹 ∈ 𝑋 ∧ 𝐺 ∈ 𝑋) → (𝐹𝐷𝐺) = (√‘Σ𝑘 ∈ 𝐼 (((𝐹‘𝑘) − (𝐺‘𝑘))↑2))) | ||
Theorem | ehl1eudis 24866* | The Euclidean distance function in a real Euclidean space of dimension 1. (Contributed by AV, 16-Jan-2023.) |
⊢ 𝐸 = (𝔼hil‘1) & ⊢ 𝑋 = (ℝ ↑m {1}) & ⊢ 𝐷 = (dist‘𝐸) ⇒ ⊢ 𝐷 = (𝑓 ∈ 𝑋, 𝑔 ∈ 𝑋 ↦ (abs‘((𝑓‘1) − (𝑔‘1)))) | ||
Theorem | ehl1eudisval 24867 | The value of the Euclidean distance function in a real Euclidean space of dimension 1. (Contributed by AV, 16-Jan-2023.) |
⊢ 𝐸 = (𝔼hil‘1) & ⊢ 𝑋 = (ℝ ↑m {1}) & ⊢ 𝐷 = (dist‘𝐸) ⇒ ⊢ ((𝐹 ∈ 𝑋 ∧ 𝐺 ∈ 𝑋) → (𝐹𝐷𝐺) = (abs‘((𝐹‘1) − (𝐺‘1)))) | ||
Theorem | ehl2eudis 24868* | The Euclidean distance function in a real Euclidean space of dimension 2. (Contributed by AV, 16-Jan-2023.) |
⊢ 𝐸 = (𝔼hil‘2) & ⊢ 𝑋 = (ℝ ↑m {1, 2}) & ⊢ 𝐷 = (dist‘𝐸) ⇒ ⊢ 𝐷 = (𝑓 ∈ 𝑋, 𝑔 ∈ 𝑋 ↦ (√‘((((𝑓‘1) − (𝑔‘1))↑2) + (((𝑓‘2) − (𝑔‘2))↑2)))) | ||
Theorem | ehl2eudisval 24869 | The value of the Euclidean distance function in a real Euclidean space of dimension 2. (Contributed by AV, 16-Jan-2023.) |
⊢ 𝐸 = (𝔼hil‘2) & ⊢ 𝑋 = (ℝ ↑m {1, 2}) & ⊢ 𝐷 = (dist‘𝐸) ⇒ ⊢ ((𝐹 ∈ 𝑋 ∧ 𝐺 ∈ 𝑋) → (𝐹𝐷𝐺) = (√‘((((𝐹‘1) − (𝐺‘1))↑2) + (((𝐹‘2) − (𝐺‘2))↑2)))) | ||
Theorem | minveclem1 24870* | Lemma for minvec 24882. The set of all distances from points of 𝑌 to 𝐴 are a nonempty set of nonnegative reals. (Contributed by Mario Carneiro, 8-May-2014.) (Revised by Mario Carneiro, 15-Oct-2015.) |
⊢ 𝑋 = (Base‘𝑈) & ⊢ − = (-g‘𝑈) & ⊢ 𝑁 = (norm‘𝑈) & ⊢ (𝜑 → 𝑈 ∈ ℂPreHil) & ⊢ (𝜑 → 𝑌 ∈ (LSubSp‘𝑈)) & ⊢ (𝜑 → (𝑈 ↾s 𝑌) ∈ CMetSp) & ⊢ (𝜑 → 𝐴 ∈ 𝑋) & ⊢ 𝐽 = (TopOpen‘𝑈) & ⊢ 𝑅 = ran (𝑦 ∈ 𝑌 ↦ (𝑁‘(𝐴 − 𝑦))) ⇒ ⊢ (𝜑 → (𝑅 ⊆ ℝ ∧ 𝑅 ≠ ∅ ∧ ∀𝑤 ∈ 𝑅 0 ≤ 𝑤)) | ||
Theorem | minveclem4c 24871* | Lemma for minvec 24882. The infimum of the distances to 𝐴 is a real number. (Contributed by Mario Carneiro, 16-Jun-2014.) (Revised by Mario Carneiro, 15-Oct-2015.) (Revised by AV, 3-Oct-2020.) |
⊢ 𝑋 = (Base‘𝑈) & ⊢ − = (-g‘𝑈) & ⊢ 𝑁 = (norm‘𝑈) & ⊢ (𝜑 → 𝑈 ∈ ℂPreHil) & ⊢ (𝜑 → 𝑌 ∈ (LSubSp‘𝑈)) & ⊢ (𝜑 → (𝑈 ↾s 𝑌) ∈ CMetSp) & ⊢ (𝜑 → 𝐴 ∈ 𝑋) & ⊢ 𝐽 = (TopOpen‘𝑈) & ⊢ 𝑅 = ran (𝑦 ∈ 𝑌 ↦ (𝑁‘(𝐴 − 𝑦))) & ⊢ 𝑆 = inf(𝑅, ℝ, < ) ⇒ ⊢ (𝜑 → 𝑆 ∈ ℝ) | ||
Theorem | minveclem2 24872* | Lemma for minvec 24882. Any two points 𝐾 and 𝐿 in 𝑌 are close to each other if they are close to the infimum of distance to 𝐴. (Contributed by Mario Carneiro, 9-May-2014.) (Revised by Mario Carneiro, 15-Oct-2015.) (Revised by AV, 3-Oct-2020.) |
⊢ 𝑋 = (Base‘𝑈) & ⊢ − = (-g‘𝑈) & ⊢ 𝑁 = (norm‘𝑈) & ⊢ (𝜑 → 𝑈 ∈ ℂPreHil) & ⊢ (𝜑 → 𝑌 ∈ (LSubSp‘𝑈)) & ⊢ (𝜑 → (𝑈 ↾s 𝑌) ∈ CMetSp) & ⊢ (𝜑 → 𝐴 ∈ 𝑋) & ⊢ 𝐽 = (TopOpen‘𝑈) & ⊢ 𝑅 = ran (𝑦 ∈ 𝑌 ↦ (𝑁‘(𝐴 − 𝑦))) & ⊢ 𝑆 = inf(𝑅, ℝ, < ) & ⊢ 𝐷 = ((dist‘𝑈) ↾ (𝑋 × 𝑋)) & ⊢ (𝜑 → 𝐵 ∈ ℝ) & ⊢ (𝜑 → 0 ≤ 𝐵) & ⊢ (𝜑 → 𝐾 ∈ 𝑌) & ⊢ (𝜑 → 𝐿 ∈ 𝑌) & ⊢ (𝜑 → ((𝐴𝐷𝐾)↑2) ≤ ((𝑆↑2) + 𝐵)) & ⊢ (𝜑 → ((𝐴𝐷𝐿)↑2) ≤ ((𝑆↑2) + 𝐵)) ⇒ ⊢ (𝜑 → ((𝐾𝐷𝐿)↑2) ≤ (4 · 𝐵)) | ||
Theorem | minveclem3a 24873* | Lemma for minvec 24882. 𝐷 is a complete metric when restricted to 𝑌. (Contributed by Mario Carneiro, 7-May-2014.) (Revised by Mario Carneiro, 15-Oct-2015.) |
⊢ 𝑋 = (Base‘𝑈) & ⊢ − = (-g‘𝑈) & ⊢ 𝑁 = (norm‘𝑈) & ⊢ (𝜑 → 𝑈 ∈ ℂPreHil) & ⊢ (𝜑 → 𝑌 ∈ (LSubSp‘𝑈)) & ⊢ (𝜑 → (𝑈 ↾s 𝑌) ∈ CMetSp) & ⊢ (𝜑 → 𝐴 ∈ 𝑋) & ⊢ 𝐽 = (TopOpen‘𝑈) & ⊢ 𝑅 = ran (𝑦 ∈ 𝑌 ↦ (𝑁‘(𝐴 − 𝑦))) & ⊢ 𝑆 = inf(𝑅, ℝ, < ) & ⊢ 𝐷 = ((dist‘𝑈) ↾ (𝑋 × 𝑋)) ⇒ ⊢ (𝜑 → (𝐷 ↾ (𝑌 × 𝑌)) ∈ (CMet‘𝑌)) | ||
Theorem | minveclem3b 24874* | Lemma for minvec 24882. The set of vectors within a fixed distance of the infimum forms a filter base. (Contributed by Mario Carneiro, 15-Oct-2015.) (Revised by AV, 3-Oct-2020.) |
⊢ 𝑋 = (Base‘𝑈) & ⊢ − = (-g‘𝑈) & ⊢ 𝑁 = (norm‘𝑈) & ⊢ (𝜑 → 𝑈 ∈ ℂPreHil) & ⊢ (𝜑 → 𝑌 ∈ (LSubSp‘𝑈)) & ⊢ (𝜑 → (𝑈 ↾s 𝑌) ∈ CMetSp) & ⊢ (𝜑 → 𝐴 ∈ 𝑋) & ⊢ 𝐽 = (TopOpen‘𝑈) & ⊢ 𝑅 = ran (𝑦 ∈ 𝑌 ↦ (𝑁‘(𝐴 − 𝑦))) & ⊢ 𝑆 = inf(𝑅, ℝ, < ) & ⊢ 𝐷 = ((dist‘𝑈) ↾ (𝑋 × 𝑋)) & ⊢ 𝐹 = ran (𝑟 ∈ ℝ+ ↦ {𝑦 ∈ 𝑌 ∣ ((𝐴𝐷𝑦)↑2) ≤ ((𝑆↑2) + 𝑟)}) ⇒ ⊢ (𝜑 → 𝐹 ∈ (fBas‘𝑌)) | ||
Theorem | minveclem3 24875* | Lemma for minvec 24882. The filter formed by taking elements successively closer to the infimum is Cauchy. (Contributed by Mario Carneiro, 8-May-2014.) (Revised by Mario Carneiro, 15-Oct-2015.) |
⊢ 𝑋 = (Base‘𝑈) & ⊢ − = (-g‘𝑈) & ⊢ 𝑁 = (norm‘𝑈) & ⊢ (𝜑 → 𝑈 ∈ ℂPreHil) & ⊢ (𝜑 → 𝑌 ∈ (LSubSp‘𝑈)) & ⊢ (𝜑 → (𝑈 ↾s 𝑌) ∈ CMetSp) & ⊢ (𝜑 → 𝐴 ∈ 𝑋) & ⊢ 𝐽 = (TopOpen‘𝑈) & ⊢ 𝑅 = ran (𝑦 ∈ 𝑌 ↦ (𝑁‘(𝐴 − 𝑦))) & ⊢ 𝑆 = inf(𝑅, ℝ, < ) & ⊢ 𝐷 = ((dist‘𝑈) ↾ (𝑋 × 𝑋)) & ⊢ 𝐹 = ran (𝑟 ∈ ℝ+ ↦ {𝑦 ∈ 𝑌 ∣ ((𝐴𝐷𝑦)↑2) ≤ ((𝑆↑2) + 𝑟)}) ⇒ ⊢ (𝜑 → (𝑌filGen𝐹) ∈ (CauFil‘(𝐷 ↾ (𝑌 × 𝑌)))) | ||
Theorem | minveclem4a 24876* | Lemma for minvec 24882. 𝐹 converges to a point 𝑃 in 𝑌. (Contributed by Mario Carneiro, 7-May-2014.) (Revised by Mario Carneiro, 15-Oct-2015.) |
⊢ 𝑋 = (Base‘𝑈) & ⊢ − = (-g‘𝑈) & ⊢ 𝑁 = (norm‘𝑈) & ⊢ (𝜑 → 𝑈 ∈ ℂPreHil) & ⊢ (𝜑 → 𝑌 ∈ (LSubSp‘𝑈)) & ⊢ (𝜑 → (𝑈 ↾s 𝑌) ∈ CMetSp) & ⊢ (𝜑 → 𝐴 ∈ 𝑋) & ⊢ 𝐽 = (TopOpen‘𝑈) & ⊢ 𝑅 = ran (𝑦 ∈ 𝑌 ↦ (𝑁‘(𝐴 − 𝑦))) & ⊢ 𝑆 = inf(𝑅, ℝ, < ) & ⊢ 𝐷 = ((dist‘𝑈) ↾ (𝑋 × 𝑋)) & ⊢ 𝐹 = ran (𝑟 ∈ ℝ+ ↦ {𝑦 ∈ 𝑌 ∣ ((𝐴𝐷𝑦)↑2) ≤ ((𝑆↑2) + 𝑟)}) & ⊢ 𝑃 = ∪ (𝐽 fLim (𝑋filGen𝐹)) ⇒ ⊢ (𝜑 → 𝑃 ∈ ((𝐽 fLim (𝑋filGen𝐹)) ∩ 𝑌)) | ||
Theorem | minveclem4b 24877* | Lemma for minvec 24882. The convergent point of the Cauchy sequence 𝐹 is a member of the base space. (Contributed by Mario Carneiro, 16-Jun-2014.) (Revised by Mario Carneiro, 15-Oct-2015.) |
⊢ 𝑋 = (Base‘𝑈) & ⊢ − = (-g‘𝑈) & ⊢ 𝑁 = (norm‘𝑈) & ⊢ (𝜑 → 𝑈 ∈ ℂPreHil) & ⊢ (𝜑 → 𝑌 ∈ (LSubSp‘𝑈)) & ⊢ (𝜑 → (𝑈 ↾s 𝑌) ∈ CMetSp) & ⊢ (𝜑 → 𝐴 ∈ 𝑋) & ⊢ 𝐽 = (TopOpen‘𝑈) & ⊢ 𝑅 = ran (𝑦 ∈ 𝑌 ↦ (𝑁‘(𝐴 − 𝑦))) & ⊢ 𝑆 = inf(𝑅, ℝ, < ) & ⊢ 𝐷 = ((dist‘𝑈) ↾ (𝑋 × 𝑋)) & ⊢ 𝐹 = ran (𝑟 ∈ ℝ+ ↦ {𝑦 ∈ 𝑌 ∣ ((𝐴𝐷𝑦)↑2) ≤ ((𝑆↑2) + 𝑟)}) & ⊢ 𝑃 = ∪ (𝐽 fLim (𝑋filGen𝐹)) ⇒ ⊢ (𝜑 → 𝑃 ∈ 𝑋) | ||
Theorem | minveclem4 24878* | Lemma for minvec 24882. The convergent point of the Cauchy sequence 𝐹 attains the minimum distance, and so is closer to 𝐴 than any other point in 𝑌. (Contributed by Mario Carneiro, 7-May-2014.) (Revised by Mario Carneiro, 15-Oct-2015.) (Revised by AV, 3-Oct-2020.) |
⊢ 𝑋 = (Base‘𝑈) & ⊢ − = (-g‘𝑈) & ⊢ 𝑁 = (norm‘𝑈) & ⊢ (𝜑 → 𝑈 ∈ ℂPreHil) & ⊢ (𝜑 → 𝑌 ∈ (LSubSp‘𝑈)) & ⊢ (𝜑 → (𝑈 ↾s 𝑌) ∈ CMetSp) & ⊢ (𝜑 → 𝐴 ∈ 𝑋) & ⊢ 𝐽 = (TopOpen‘𝑈) & ⊢ 𝑅 = ran (𝑦 ∈ 𝑌 ↦ (𝑁‘(𝐴 − 𝑦))) & ⊢ 𝑆 = inf(𝑅, ℝ, < ) & ⊢ 𝐷 = ((dist‘𝑈) ↾ (𝑋 × 𝑋)) & ⊢ 𝐹 = ran (𝑟 ∈ ℝ+ ↦ {𝑦 ∈ 𝑌 ∣ ((𝐴𝐷𝑦)↑2) ≤ ((𝑆↑2) + 𝑟)}) & ⊢ 𝑃 = ∪ (𝐽 fLim (𝑋filGen𝐹)) & ⊢ 𝑇 = (((((𝐴𝐷𝑃) + 𝑆) / 2)↑2) − (𝑆↑2)) ⇒ ⊢ (𝜑 → ∃𝑥 ∈ 𝑌 ∀𝑦 ∈ 𝑌 (𝑁‘(𝐴 − 𝑥)) ≤ (𝑁‘(𝐴 − 𝑦))) | ||
Theorem | minveclem5 24879* | Lemma for minvec 24882. Discharge the assumptions in minveclem4 24878. (Contributed by Mario Carneiro, 9-May-2014.) (Revised by Mario Carneiro, 15-Oct-2015.) |
⊢ 𝑋 = (Base‘𝑈) & ⊢ − = (-g‘𝑈) & ⊢ 𝑁 = (norm‘𝑈) & ⊢ (𝜑 → 𝑈 ∈ ℂPreHil) & ⊢ (𝜑 → 𝑌 ∈ (LSubSp‘𝑈)) & ⊢ (𝜑 → (𝑈 ↾s 𝑌) ∈ CMetSp) & ⊢ (𝜑 → 𝐴 ∈ 𝑋) & ⊢ 𝐽 = (TopOpen‘𝑈) & ⊢ 𝑅 = ran (𝑦 ∈ 𝑌 ↦ (𝑁‘(𝐴 − 𝑦))) & ⊢ 𝑆 = inf(𝑅, ℝ, < ) & ⊢ 𝐷 = ((dist‘𝑈) ↾ (𝑋 × 𝑋)) ⇒ ⊢ (𝜑 → ∃𝑥 ∈ 𝑌 ∀𝑦 ∈ 𝑌 (𝑁‘(𝐴 − 𝑥)) ≤ (𝑁‘(𝐴 − 𝑦))) | ||
Theorem | minveclem6 24880* | Lemma for minvec 24882. Any minimal point is less than 𝑆 away from 𝐴. (Contributed by Mario Carneiro, 9-May-2014.) (Revised by Mario Carneiro, 15-Oct-2015.) (Revised by AV, 3-Oct-2020.) |
⊢ 𝑋 = (Base‘𝑈) & ⊢ − = (-g‘𝑈) & ⊢ 𝑁 = (norm‘𝑈) & ⊢ (𝜑 → 𝑈 ∈ ℂPreHil) & ⊢ (𝜑 → 𝑌 ∈ (LSubSp‘𝑈)) & ⊢ (𝜑 → (𝑈 ↾s 𝑌) ∈ CMetSp) & ⊢ (𝜑 → 𝐴 ∈ 𝑋) & ⊢ 𝐽 = (TopOpen‘𝑈) & ⊢ 𝑅 = ran (𝑦 ∈ 𝑌 ↦ (𝑁‘(𝐴 − 𝑦))) & ⊢ 𝑆 = inf(𝑅, ℝ, < ) & ⊢ 𝐷 = ((dist‘𝑈) ↾ (𝑋 × 𝑋)) ⇒ ⊢ ((𝜑 ∧ 𝑥 ∈ 𝑌) → (((𝐴𝐷𝑥)↑2) ≤ ((𝑆↑2) + 0) ↔ ∀𝑦 ∈ 𝑌 (𝑁‘(𝐴 − 𝑥)) ≤ (𝑁‘(𝐴 − 𝑦)))) | ||
Theorem | minveclem7 24881* | Lemma for minvec 24882. Since any two minimal points are distance zero away from each other, the minimal point is unique. (Contributed by Mario Carneiro, 9-May-2014.) (Revised by Mario Carneiro, 15-Oct-2015.) |
⊢ 𝑋 = (Base‘𝑈) & ⊢ − = (-g‘𝑈) & ⊢ 𝑁 = (norm‘𝑈) & ⊢ (𝜑 → 𝑈 ∈ ℂPreHil) & ⊢ (𝜑 → 𝑌 ∈ (LSubSp‘𝑈)) & ⊢ (𝜑 → (𝑈 ↾s 𝑌) ∈ CMetSp) & ⊢ (𝜑 → 𝐴 ∈ 𝑋) & ⊢ 𝐽 = (TopOpen‘𝑈) & ⊢ 𝑅 = ran (𝑦 ∈ 𝑌 ↦ (𝑁‘(𝐴 − 𝑦))) & ⊢ 𝑆 = inf(𝑅, ℝ, < ) & ⊢ 𝐷 = ((dist‘𝑈) ↾ (𝑋 × 𝑋)) ⇒ ⊢ (𝜑 → ∃!𝑥 ∈ 𝑌 ∀𝑦 ∈ 𝑌 (𝑁‘(𝐴 − 𝑥)) ≤ (𝑁‘(𝐴 − 𝑦))) | ||
Theorem | minvec 24882* | Minimizing vector theorem, or the Hilbert projection theorem. There is exactly one vector in a complete subspace 𝑊 that minimizes the distance to an arbitrary vector 𝐴 in a parent inner product space. Theorem 3.3-1 of [Kreyszig] p. 144, specialized to subspaces instead of convex subsets. (Contributed by NM, 11-Apr-2008.) (Proof shortened by Mario Carneiro, 9-May-2014.) (Revised by Mario Carneiro, 15-Oct-2015.) (Proof shortened by AV, 3-Oct-2020.) |
⊢ 𝑋 = (Base‘𝑈) & ⊢ − = (-g‘𝑈) & ⊢ 𝑁 = (norm‘𝑈) & ⊢ (𝜑 → 𝑈 ∈ ℂPreHil) & ⊢ (𝜑 → 𝑌 ∈ (LSubSp‘𝑈)) & ⊢ (𝜑 → (𝑈 ↾s 𝑌) ∈ CMetSp) & ⊢ (𝜑 → 𝐴 ∈ 𝑋) ⇒ ⊢ (𝜑 → ∃!𝑥 ∈ 𝑌 ∀𝑦 ∈ 𝑌 (𝑁‘(𝐴 − 𝑥)) ≤ (𝑁‘(𝐴 − 𝑦))) | ||
Theorem | pjthlem1 24883* | Lemma for pjth 24885. (Contributed by NM, 10-Oct-1999.) (Revised by Mario Carneiro, 17-Oct-2015.) (Proof shortened by AV, 10-Jul-2022.) |
⊢ 𝑉 = (Base‘𝑊) & ⊢ 𝑁 = (norm‘𝑊) & ⊢ + = (+g‘𝑊) & ⊢ − = (-g‘𝑊) & ⊢ , = (·𝑖‘𝑊) & ⊢ 𝐿 = (LSubSp‘𝑊) & ⊢ (𝜑 → 𝑊 ∈ ℂHil) & ⊢ (𝜑 → 𝑈 ∈ 𝐿) & ⊢ (𝜑 → 𝐴 ∈ 𝑉) & ⊢ (𝜑 → 𝐵 ∈ 𝑈) & ⊢ (𝜑 → ∀𝑥 ∈ 𝑈 (𝑁‘𝐴) ≤ (𝑁‘(𝐴 − 𝑥))) & ⊢ 𝑇 = ((𝐴 , 𝐵) / ((𝐵 , 𝐵) + 1)) ⇒ ⊢ (𝜑 → (𝐴 , 𝐵) = 0) | ||
Theorem | pjthlem2 24884 | Lemma for pjth 24885. (Contributed by NM, 10-Oct-1999.) (Revised by Mario Carneiro, 15-May-2014.) |
⊢ 𝑉 = (Base‘𝑊) & ⊢ 𝑁 = (norm‘𝑊) & ⊢ + = (+g‘𝑊) & ⊢ − = (-g‘𝑊) & ⊢ , = (·𝑖‘𝑊) & ⊢ 𝐿 = (LSubSp‘𝑊) & ⊢ (𝜑 → 𝑊 ∈ ℂHil) & ⊢ (𝜑 → 𝑈 ∈ 𝐿) & ⊢ (𝜑 → 𝐴 ∈ 𝑉) & ⊢ 𝐽 = (TopOpen‘𝑊) & ⊢ ⊕ = (LSSum‘𝑊) & ⊢ 𝑂 = (ocv‘𝑊) & ⊢ (𝜑 → 𝑈 ∈ (Clsd‘𝐽)) ⇒ ⊢ (𝜑 → 𝐴 ∈ (𝑈 ⊕ (𝑂‘𝑈))) | ||
Theorem | pjth 24885 | Projection Theorem: Any Hilbert space vector 𝐴 can be decomposed uniquely into a member 𝑥 of a closed subspace 𝐻 and a member 𝑦 of the complement of the subspace. Theorem 3.7(i) of [Beran] p. 102 (existence part). (Contributed by NM, 23-Oct-1999.) (Revised by Mario Carneiro, 14-May-2014.) |
⊢ 𝑉 = (Base‘𝑊) & ⊢ ⊕ = (LSSum‘𝑊) & ⊢ 𝑂 = (ocv‘𝑊) & ⊢ 𝐽 = (TopOpen‘𝑊) & ⊢ 𝐿 = (LSubSp‘𝑊) ⇒ ⊢ ((𝑊 ∈ ℂHil ∧ 𝑈 ∈ 𝐿 ∧ 𝑈 ∈ (Clsd‘𝐽)) → (𝑈 ⊕ (𝑂‘𝑈)) = 𝑉) | ||
Theorem | pjth2 24886 | Projection Theorem with abbreviations: A topologically closed subspace is a projection subspace. (Contributed by Mario Carneiro, 17-Oct-2015.) |
⊢ 𝐽 = (TopOpen‘𝑊) & ⊢ 𝐿 = (LSubSp‘𝑊) & ⊢ 𝐾 = (proj‘𝑊) ⇒ ⊢ ((𝑊 ∈ ℂHil ∧ 𝑈 ∈ 𝐿 ∧ 𝑈 ∈ (Clsd‘𝐽)) → 𝑈 ∈ dom 𝐾) | ||
Theorem | cldcss 24887 | Corollary of the Projection Theorem: A topologically closed subspace is algebraically closed in Hilbert space. (Contributed by Mario Carneiro, 17-Oct-2015.) |
⊢ 𝑉 = (Base‘𝑊) & ⊢ 𝐽 = (TopOpen‘𝑊) & ⊢ 𝐿 = (LSubSp‘𝑊) & ⊢ 𝐶 = (ClSubSp‘𝑊) ⇒ ⊢ (𝑊 ∈ ℂHil → (𝑈 ∈ 𝐶 ↔ (𝑈 ∈ 𝐿 ∧ 𝑈 ∈ (Clsd‘𝐽)))) | ||
Theorem | cldcss2 24888 | Corollary of the Projection Theorem: A topologically closed subspace is algebraically closed in Hilbert space. (Contributed by Mario Carneiro, 17-Oct-2015.) |
⊢ 𝑉 = (Base‘𝑊) & ⊢ 𝐽 = (TopOpen‘𝑊) & ⊢ 𝐿 = (LSubSp‘𝑊) & ⊢ 𝐶 = (ClSubSp‘𝑊) ⇒ ⊢ (𝑊 ∈ ℂHil → 𝐶 = (𝐿 ∩ (Clsd‘𝐽))) | ||
Theorem | hlhil 24889 | Corollary of the Projection Theorem: A subcomplex Hilbert space is a Hilbert space (in the algebraic sense, meaning that all algebraically closed subspaces have a projection decomposition). (Contributed by Mario Carneiro, 17-Oct-2015.) |
⊢ (𝑊 ∈ ℂHil → 𝑊 ∈ Hil) | ||
Theorem | addcncf 24890* | The addition of two continuous complex functions is continuous. (Contributed by Glauco Siliprandi, 11-Dec-2019.) |
⊢ (𝜑 → (𝑥 ∈ 𝑋 ↦ 𝐴) ∈ (𝑋–cn→ℂ)) & ⊢ (𝜑 → (𝑥 ∈ 𝑋 ↦ 𝐵) ∈ (𝑋–cn→ℂ)) ⇒ ⊢ (𝜑 → (𝑥 ∈ 𝑋 ↦ (𝐴 + 𝐵)) ∈ (𝑋–cn→ℂ)) | ||
Theorem | subcncf 24891* | The addition of two continuous complex functions is continuous. (Contributed by Glauco Siliprandi, 11-Dec-2019.) |
⊢ (𝜑 → (𝑥 ∈ 𝑋 ↦ 𝐴) ∈ (𝑋–cn→ℂ)) & ⊢ (𝜑 → (𝑥 ∈ 𝑋 ↦ 𝐵) ∈ (𝑋–cn→ℂ)) ⇒ ⊢ (𝜑 → (𝑥 ∈ 𝑋 ↦ (𝐴 − 𝐵)) ∈ (𝑋–cn→ℂ)) | ||
Theorem | mulcncf 24892* | The multiplication of two continuous complex functions is continuous. (Contributed by Glauco Siliprandi, 29-Jun-2017.) |
⊢ (𝜑 → (𝑥 ∈ 𝑋 ↦ 𝐴) ∈ (𝑋–cn→ℂ)) & ⊢ (𝜑 → (𝑥 ∈ 𝑋 ↦ 𝐵) ∈ (𝑋–cn→ℂ)) ⇒ ⊢ (𝜑 → (𝑥 ∈ 𝑋 ↦ (𝐴 · 𝐵)) ∈ (𝑋–cn→ℂ)) | ||
Theorem | divcncf 24893* | The quotient of two continuous complex functions is continuous. (Contributed by Glauco Siliprandi, 11-Dec-2019.) |
⊢ (𝜑 → (𝑥 ∈ 𝑋 ↦ 𝐴) ∈ (𝑋–cn→ℂ)) & ⊢ (𝜑 → (𝑥 ∈ 𝑋 ↦ 𝐵) ∈ (𝑋–cn→(ℂ ∖ {0}))) ⇒ ⊢ (𝜑 → (𝑥 ∈ 𝑋 ↦ (𝐴 / 𝐵)) ∈ (𝑋–cn→ℂ)) | ||
Theorem | pmltpclem1 24894* | Lemma for pmltpc 24896. (Contributed by Mario Carneiro, 1-Jul-2014.) |
⊢ (𝜑 → 𝐴 ∈ 𝑆) & ⊢ (𝜑 → 𝐵 ∈ 𝑆) & ⊢ (𝜑 → 𝐶 ∈ 𝑆) & ⊢ (𝜑 → 𝐴 < 𝐵) & ⊢ (𝜑 → 𝐵 < 𝐶) & ⊢ (𝜑 → (((𝐹‘𝐴) < (𝐹‘𝐵) ∧ (𝐹‘𝐶) < (𝐹‘𝐵)) ∨ ((𝐹‘𝐵) < (𝐹‘𝐴) ∧ (𝐹‘𝐵) < (𝐹‘𝐶)))) ⇒ ⊢ (𝜑 → ∃𝑎 ∈ 𝑆 ∃𝑏 ∈ 𝑆 ∃𝑐 ∈ 𝑆 (𝑎 < 𝑏 ∧ 𝑏 < 𝑐 ∧ (((𝐹‘𝑎) < (𝐹‘𝑏) ∧ (𝐹‘𝑐) < (𝐹‘𝑏)) ∨ ((𝐹‘𝑏) < (𝐹‘𝑎) ∧ (𝐹‘𝑏) < (𝐹‘𝑐))))) | ||
Theorem | pmltpclem2 24895* | Lemma for pmltpc 24896. (Contributed by Mario Carneiro, 1-Jul-2014.) |
⊢ (𝜑 → 𝐹 ∈ (ℝ ↑pm ℝ)) & ⊢ (𝜑 → 𝐴 ⊆ dom 𝐹) & ⊢ (𝜑 → 𝑈 ∈ 𝐴) & ⊢ (𝜑 → 𝑉 ∈ 𝐴) & ⊢ (𝜑 → 𝑊 ∈ 𝐴) & ⊢ (𝜑 → 𝑋 ∈ 𝐴) & ⊢ (𝜑 → 𝑈 ≤ 𝑉) & ⊢ (𝜑 → 𝑊 ≤ 𝑋) & ⊢ (𝜑 → ¬ (𝐹‘𝑈) ≤ (𝐹‘𝑉)) & ⊢ (𝜑 → ¬ (𝐹‘𝑋) ≤ (𝐹‘𝑊)) ⇒ ⊢ (𝜑 → ∃𝑎 ∈ 𝐴 ∃𝑏 ∈ 𝐴 ∃𝑐 ∈ 𝐴 (𝑎 < 𝑏 ∧ 𝑏 < 𝑐 ∧ (((𝐹‘𝑎) < (𝐹‘𝑏) ∧ (𝐹‘𝑐) < (𝐹‘𝑏)) ∨ ((𝐹‘𝑏) < (𝐹‘𝑎) ∧ (𝐹‘𝑏) < (𝐹‘𝑐))))) | ||
Theorem | pmltpc 24896* | Any function on the reals is either increasing, decreasing, or has a triple of points in a vee formation. (This theorem was created on demand by Mario Carneiro for the 6PCM conference in Bialystok, 1-Jul-2014.) (Contributed by Mario Carneiro, 1-Jul-2014.) |
⊢ ((𝐹 ∈ (ℝ ↑pm ℝ) ∧ 𝐴 ⊆ dom 𝐹) → (∀𝑥 ∈ 𝐴 ∀𝑦 ∈ 𝐴 (𝑥 ≤ 𝑦 → (𝐹‘𝑥) ≤ (𝐹‘𝑦)) ∨ ∀𝑥 ∈ 𝐴 ∀𝑦 ∈ 𝐴 (𝑥 ≤ 𝑦 → (𝐹‘𝑦) ≤ (𝐹‘𝑥)) ∨ ∃𝑎 ∈ 𝐴 ∃𝑏 ∈ 𝐴 ∃𝑐 ∈ 𝐴 (𝑎 < 𝑏 ∧ 𝑏 < 𝑐 ∧ (((𝐹‘𝑎) < (𝐹‘𝑏) ∧ (𝐹‘𝑐) < (𝐹‘𝑏)) ∨ ((𝐹‘𝑏) < (𝐹‘𝑎) ∧ (𝐹‘𝑏) < (𝐹‘𝑐)))))) | ||
Theorem | ivthlem1 24897* | Lemma for ivth 24900. The set 𝑆 of all 𝑥 values with (𝐹‘𝑥) less than 𝑈 is lower bounded by 𝐴 and upper bounded by 𝐵. (Contributed by Mario Carneiro, 17-Jun-2014.) |
⊢ (𝜑 → 𝐴 ∈ ℝ) & ⊢ (𝜑 → 𝐵 ∈ ℝ) & ⊢ (𝜑 → 𝑈 ∈ ℝ) & ⊢ (𝜑 → 𝐴 < 𝐵) & ⊢ (𝜑 → (𝐴[,]𝐵) ⊆ 𝐷) & ⊢ (𝜑 → 𝐹 ∈ (𝐷–cn→ℂ)) & ⊢ ((𝜑 ∧ 𝑥 ∈ (𝐴[,]𝐵)) → (𝐹‘𝑥) ∈ ℝ) & ⊢ (𝜑 → ((𝐹‘𝐴) < 𝑈 ∧ 𝑈 < (𝐹‘𝐵))) & ⊢ 𝑆 = {𝑥 ∈ (𝐴[,]𝐵) ∣ (𝐹‘𝑥) ≤ 𝑈} ⇒ ⊢ (𝜑 → (𝐴 ∈ 𝑆 ∧ ∀𝑧 ∈ 𝑆 𝑧 ≤ 𝐵)) | ||
Theorem | ivthlem2 24898* | Lemma for ivth 24900. Show that the supremum of 𝑆 cannot be less than 𝑈. If it was, continuity of 𝐹 implies that there are points just above the supremum that are also less than 𝑈, a contradiction. (Contributed by Mario Carneiro, 17-Jun-2014.) |
⊢ (𝜑 → 𝐴 ∈ ℝ) & ⊢ (𝜑 → 𝐵 ∈ ℝ) & ⊢ (𝜑 → 𝑈 ∈ ℝ) & ⊢ (𝜑 → 𝐴 < 𝐵) & ⊢ (𝜑 → (𝐴[,]𝐵) ⊆ 𝐷) & ⊢ (𝜑 → 𝐹 ∈ (𝐷–cn→ℂ)) & ⊢ ((𝜑 ∧ 𝑥 ∈ (𝐴[,]𝐵)) → (𝐹‘𝑥) ∈ ℝ) & ⊢ (𝜑 → ((𝐹‘𝐴) < 𝑈 ∧ 𝑈 < (𝐹‘𝐵))) & ⊢ 𝑆 = {𝑥 ∈ (𝐴[,]𝐵) ∣ (𝐹‘𝑥) ≤ 𝑈} & ⊢ 𝐶 = sup(𝑆, ℝ, < ) ⇒ ⊢ (𝜑 → ¬ (𝐹‘𝐶) < 𝑈) | ||
Theorem | ivthlem3 24899* | Lemma for ivth 24900, the intermediate value theorem. Show that (𝐹‘𝐶) cannot be greater than 𝑈, and so establish the existence of a root of the function. (Contributed by Mario Carneiro, 30-Apr-2014.) (Revised by Mario Carneiro, 17-Jun-2014.) |
⊢ (𝜑 → 𝐴 ∈ ℝ) & ⊢ (𝜑 → 𝐵 ∈ ℝ) & ⊢ (𝜑 → 𝑈 ∈ ℝ) & ⊢ (𝜑 → 𝐴 < 𝐵) & ⊢ (𝜑 → (𝐴[,]𝐵) ⊆ 𝐷) & ⊢ (𝜑 → 𝐹 ∈ (𝐷–cn→ℂ)) & ⊢ ((𝜑 ∧ 𝑥 ∈ (𝐴[,]𝐵)) → (𝐹‘𝑥) ∈ ℝ) & ⊢ (𝜑 → ((𝐹‘𝐴) < 𝑈 ∧ 𝑈 < (𝐹‘𝐵))) & ⊢ 𝑆 = {𝑥 ∈ (𝐴[,]𝐵) ∣ (𝐹‘𝑥) ≤ 𝑈} & ⊢ 𝐶 = sup(𝑆, ℝ, < ) ⇒ ⊢ (𝜑 → (𝐶 ∈ (𝐴(,)𝐵) ∧ (𝐹‘𝐶) = 𝑈)) | ||
Theorem | ivth 24900* | The intermediate value theorem, increasing case. This is Metamath 100 proof #79. (Contributed by Paul Chapman, 22-Jan-2008.) (Proof shortened by Mario Carneiro, 30-Apr-2014.) |
⊢ (𝜑 → 𝐴 ∈ ℝ) & ⊢ (𝜑 → 𝐵 ∈ ℝ) & ⊢ (𝜑 → 𝑈 ∈ ℝ) & ⊢ (𝜑 → 𝐴 < 𝐵) & ⊢ (𝜑 → (𝐴[,]𝐵) ⊆ 𝐷) & ⊢ (𝜑 → 𝐹 ∈ (𝐷–cn→ℂ)) & ⊢ ((𝜑 ∧ 𝑥 ∈ (𝐴[,]𝐵)) → (𝐹‘𝑥) ∈ ℝ) & ⊢ (𝜑 → ((𝐹‘𝐴) < 𝑈 ∧ 𝑈 < (𝐹‘𝐵))) ⇒ ⊢ (𝜑 → ∃𝑐 ∈ (𝐴(,)𝐵)(𝐹‘𝑐) = 𝑈) |
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