| Metamath
Proof Explorer Theorem List (p. 254 of 503) | < Previous Next > | |
| Bad symbols? Try the
GIF version. |
||
|
Mirrors > Metamath Home Page > MPE Home Page > Theorem List Contents > Recent Proofs This page: Page List |
||
| Color key: | (1-31009) |
(31010-32532) |
(32533-50277) |
| Type | Label | Description |
|---|---|---|
| Statement | ||
| Theorem | bcthlem2 25301* | Lemma for bcth 25305. The balls in the sequence form an inclusion chain. (Contributed by Mario Carneiro, 7-Jan-2014.) |
| ⊢ 𝐽 = (MetOpen‘𝐷) & ⊢ (𝜑 → 𝐷 ∈ (CMet‘𝑋)) & ⊢ 𝐹 = (𝑘 ∈ ℕ, 𝑧 ∈ (𝑋 × ℝ+) ↦ {〈𝑥, 𝑟〉 ∣ ((𝑥 ∈ 𝑋 ∧ 𝑟 ∈ ℝ+) ∧ (𝑟 < (1 / 𝑘) ∧ ((cls‘𝐽)‘(𝑥(ball‘𝐷)𝑟)) ⊆ (((ball‘𝐷)‘𝑧) ∖ (𝑀‘𝑘))))}) & ⊢ (𝜑 → 𝑀:ℕ⟶(Clsd‘𝐽)) & ⊢ (𝜑 → 𝑅 ∈ ℝ+) & ⊢ (𝜑 → 𝐶 ∈ 𝑋) & ⊢ (𝜑 → 𝑔:ℕ⟶(𝑋 × ℝ+)) & ⊢ (𝜑 → (𝑔‘1) = 〈𝐶, 𝑅〉) & ⊢ (𝜑 → ∀𝑘 ∈ ℕ (𝑔‘(𝑘 + 1)) ∈ (𝑘𝐹(𝑔‘𝑘))) ⇒ ⊢ (𝜑 → ∀𝑛 ∈ ℕ ((ball‘𝐷)‘(𝑔‘(𝑛 + 1))) ⊆ ((ball‘𝐷)‘(𝑔‘𝑛))) | ||
| Theorem | bcthlem3 25302* | Lemma for bcth 25305. The limit point of the centers in the sequence is in the intersection of every ball in the sequence. (Contributed by Mario Carneiro, 7-Jan-2014.) |
| ⊢ 𝐽 = (MetOpen‘𝐷) & ⊢ (𝜑 → 𝐷 ∈ (CMet‘𝑋)) & ⊢ 𝐹 = (𝑘 ∈ ℕ, 𝑧 ∈ (𝑋 × ℝ+) ↦ {〈𝑥, 𝑟〉 ∣ ((𝑥 ∈ 𝑋 ∧ 𝑟 ∈ ℝ+) ∧ (𝑟 < (1 / 𝑘) ∧ ((cls‘𝐽)‘(𝑥(ball‘𝐷)𝑟)) ⊆ (((ball‘𝐷)‘𝑧) ∖ (𝑀‘𝑘))))}) & ⊢ (𝜑 → 𝑀:ℕ⟶(Clsd‘𝐽)) & ⊢ (𝜑 → 𝑅 ∈ ℝ+) & ⊢ (𝜑 → 𝐶 ∈ 𝑋) & ⊢ (𝜑 → 𝑔:ℕ⟶(𝑋 × ℝ+)) & ⊢ (𝜑 → (𝑔‘1) = 〈𝐶, 𝑅〉) & ⊢ (𝜑 → ∀𝑘 ∈ ℕ (𝑔‘(𝑘 + 1)) ∈ (𝑘𝐹(𝑔‘𝑘))) ⇒ ⊢ ((𝜑 ∧ (1st ∘ 𝑔)(⇝𝑡‘𝐽)𝑥 ∧ 𝐴 ∈ ℕ) → 𝑥 ∈ ((ball‘𝐷)‘(𝑔‘𝐴))) | ||
| Theorem | bcthlem4 25303* | Lemma for bcth 25305. Given any open ball (𝐶(ball‘𝐷)𝑅) as starting point (and in particular, a ball in int(∪ ran 𝑀)), the limit point 𝑥 of the centers of the induced sequence of balls 𝑔 is outside ∪ ran 𝑀. Note that a set 𝐴 has empty interior iff every nonempty open set 𝑈 contains points outside 𝐴, i.e. (𝑈 ∖ 𝐴) ≠ ∅. (Contributed by Mario Carneiro, 7-Jan-2014.) |
| ⊢ 𝐽 = (MetOpen‘𝐷) & ⊢ (𝜑 → 𝐷 ∈ (CMet‘𝑋)) & ⊢ 𝐹 = (𝑘 ∈ ℕ, 𝑧 ∈ (𝑋 × ℝ+) ↦ {〈𝑥, 𝑟〉 ∣ ((𝑥 ∈ 𝑋 ∧ 𝑟 ∈ ℝ+) ∧ (𝑟 < (1 / 𝑘) ∧ ((cls‘𝐽)‘(𝑥(ball‘𝐷)𝑟)) ⊆ (((ball‘𝐷)‘𝑧) ∖ (𝑀‘𝑘))))}) & ⊢ (𝜑 → 𝑀:ℕ⟶(Clsd‘𝐽)) & ⊢ (𝜑 → 𝑅 ∈ ℝ+) & ⊢ (𝜑 → 𝐶 ∈ 𝑋) & ⊢ (𝜑 → 𝑔:ℕ⟶(𝑋 × ℝ+)) & ⊢ (𝜑 → (𝑔‘1) = 〈𝐶, 𝑅〉) & ⊢ (𝜑 → ∀𝑘 ∈ ℕ (𝑔‘(𝑘 + 1)) ∈ (𝑘𝐹(𝑔‘𝑘))) ⇒ ⊢ (𝜑 → ((𝐶(ball‘𝐷)𝑅) ∖ ∪ ran 𝑀) ≠ ∅) | ||
| Theorem | bcthlem5 25304* |
Lemma for bcth 25305. The proof makes essential use of the Axiom
of
Dependent Choice axdc4uz 13935, which in the form used here accepts a
"selection" function 𝐹 from each element of 𝐾 to a
nonempty
subset of 𝐾, and the result function 𝑔 maps
𝑔(𝑛 + 1)
to an element of 𝐹(𝑛, 𝑔(𝑛)). The trick here is thus in
the choice of 𝐹 and 𝐾: we let 𝐾 be the
set of all tagged
nonempty open sets (tagged here meaning that we have a point and an
open set, in an ordered pair), and 𝐹(𝑘, 〈𝑥, 𝑧〉) gives the
set of all balls of size less than 1 / 𝑘, tagged by their
centers, whose closures fit within the given open set 𝑧 and
miss
𝑀(𝑘).
Since 𝑀(𝑘) is closed, 𝑧 ∖ 𝑀(𝑘) is open and also nonempty, since 𝑧 is nonempty and 𝑀(𝑘) has empty interior. Then there is some ball contained in it, and hence our function 𝐹 is valid (it never maps to the empty set). Now starting at a point in the interior of ∪ ran 𝑀, DC gives us the function 𝑔 all whose elements are constrained by 𝐹 acting on the previous value. (This is all proven in this lemma.) Now 𝑔 is a sequence of tagged open balls, forming an inclusion chain (see bcthlem2 25301) and whose sizes tend to zero, since they are bounded above by 1 / 𝑘. Thus, the centers of these balls form a Cauchy sequence, and converge to a point 𝑥 (see bcthlem4 25303). Since the inclusion chain also ensures the closure of each ball is in the previous ball, the point 𝑥 must be in all these balls (see bcthlem3 25302) and hence misses each 𝑀(𝑘), contradicting the fact that 𝑥 is in the interior of ∪ ran 𝑀 (which was the starting point). (Contributed by Mario Carneiro, 6-Jan-2014.) |
| ⊢ 𝐽 = (MetOpen‘𝐷) & ⊢ (𝜑 → 𝐷 ∈ (CMet‘𝑋)) & ⊢ 𝐹 = (𝑘 ∈ ℕ, 𝑧 ∈ (𝑋 × ℝ+) ↦ {〈𝑥, 𝑟〉 ∣ ((𝑥 ∈ 𝑋 ∧ 𝑟 ∈ ℝ+) ∧ (𝑟 < (1 / 𝑘) ∧ ((cls‘𝐽)‘(𝑥(ball‘𝐷)𝑟)) ⊆ (((ball‘𝐷)‘𝑧) ∖ (𝑀‘𝑘))))}) & ⊢ (𝜑 → 𝑀:ℕ⟶(Clsd‘𝐽)) & ⊢ (𝜑 → ∀𝑘 ∈ ℕ ((int‘𝐽)‘(𝑀‘𝑘)) = ∅) ⇒ ⊢ (𝜑 → ((int‘𝐽)‘∪ ran 𝑀) = ∅) | ||
| Theorem | bcth 25305* | Baire's Category Theorem. If a nonempty metric space is complete, it is nonmeager in itself. In other words, no open set in the metric space can be the countable union of rare closed subsets (where rare means having a closure with empty interior), so some subset 𝑀‘𝑘 must have a nonempty interior. Theorem 4.7-2 of [Kreyszig] p. 247. (The terminology "meager" and "nonmeager" is used by Kreyszig to replace Baire's "of the first category" and "of the second category." The latter terms are going out of favor to avoid confusion with category theory.) See bcthlem5 25304 for an overview of the proof. (Contributed by NM, 28-Oct-2007.) (Proof shortened by Mario Carneiro, 6-Jan-2014.) |
| ⊢ 𝐽 = (MetOpen‘𝐷) ⇒ ⊢ ((𝐷 ∈ (CMet‘𝑋) ∧ 𝑀:ℕ⟶(Clsd‘𝐽) ∧ ((int‘𝐽)‘∪ ran 𝑀) ≠ ∅) → ∃𝑘 ∈ ℕ ((int‘𝐽)‘(𝑀‘𝑘)) ≠ ∅) | ||
| Theorem | bcth2 25306* | Baire's Category Theorem, version 2: If countably many closed sets cover 𝑋, then one of them has an interior. (Contributed by Mario Carneiro, 10-Jan-2014.) |
| ⊢ 𝐽 = (MetOpen‘𝐷) ⇒ ⊢ (((𝐷 ∈ (CMet‘𝑋) ∧ 𝑋 ≠ ∅) ∧ (𝑀:ℕ⟶(Clsd‘𝐽) ∧ ∪ ran 𝑀 = 𝑋)) → ∃𝑘 ∈ ℕ ((int‘𝐽)‘(𝑀‘𝑘)) ≠ ∅) | ||
| Theorem | bcth3 25307* | Baire's Category Theorem, version 3: The intersection of countably many dense open sets is dense. (Contributed by Mario Carneiro, 10-Jan-2014.) |
| ⊢ 𝐽 = (MetOpen‘𝐷) ⇒ ⊢ ((𝐷 ∈ (CMet‘𝑋) ∧ 𝑀:ℕ⟶𝐽 ∧ ∀𝑘 ∈ ℕ ((cls‘𝐽)‘(𝑀‘𝑘)) = 𝑋) → ((cls‘𝐽)‘∩ ran 𝑀) = 𝑋) | ||
| Syntax | ccms 25308 | Extend class notation with the class of complete metric spaces. |
| class CMetSp | ||
| Syntax | cbn 25309 | Extend class notation with the class of Banach spaces. |
| class Ban | ||
| Syntax | chl 25310 | Extend class notation with the class of subcomplex Hilbert spaces. |
| class ℂHil | ||
| Definition | df-cms 25311* | Define the class of complete metric spaces. (Contributed by Mario Carneiro, 15-Oct-2015.) |
| ⊢ CMetSp = {𝑤 ∈ MetSp ∣ [(Base‘𝑤) / 𝑏]((dist‘𝑤) ↾ (𝑏 × 𝑏)) ∈ (CMet‘𝑏)} | ||
| Definition | df-bn 25312 | Define the class of all Banach spaces. A Banach space is a normed vector space such that both the vector space and the scalar field are complete under their respective norm-induced metrics. (Contributed by NM, 5-Dec-2006.) (Revised by Mario Carneiro, 15-Oct-2015.) |
| ⊢ Ban = {𝑤 ∈ (NrmVec ∩ CMetSp) ∣ (Scalar‘𝑤) ∈ CMetSp} | ||
| Definition | df-hl 25313 | Define the class of all subcomplex Hilbert spaces. A subcomplex Hilbert space is a Banach space which is also an inner product space over a subfield of the field of complex numbers closed under square roots of nonnegative reals. (Contributed by Steve Rodriguez, 28-Apr-2007.) |
| ⊢ ℂHil = (Ban ∩ ℂPreHil) | ||
| Theorem | isbn 25314 | A Banach space is a normed vector space with a complete induced metric. (Contributed by NM, 5-Dec-2006.) (Revised by Mario Carneiro, 15-Oct-2015.) |
| ⊢ 𝐹 = (Scalar‘𝑊) ⇒ ⊢ (𝑊 ∈ Ban ↔ (𝑊 ∈ NrmVec ∧ 𝑊 ∈ CMetSp ∧ 𝐹 ∈ CMetSp)) | ||
| Theorem | bnsca 25315 | The scalar field of a Banach space is complete. (Contributed by NM, 8-Sep-2007.) (Revised by Mario Carneiro, 15-Oct-2015.) |
| ⊢ 𝐹 = (Scalar‘𝑊) ⇒ ⊢ (𝑊 ∈ Ban → 𝐹 ∈ CMetSp) | ||
| Theorem | bnnvc 25316 | A Banach space is a normed vector space. (Contributed by Mario Carneiro, 15-Oct-2015.) |
| ⊢ (𝑊 ∈ Ban → 𝑊 ∈ NrmVec) | ||
| Theorem | bnnlm 25317 | A Banach space is a normed module. (Contributed by Mario Carneiro, 15-Oct-2015.) |
| ⊢ (𝑊 ∈ Ban → 𝑊 ∈ NrmMod) | ||
| Theorem | bnngp 25318 | A Banach space is a normed group. (Contributed by Mario Carneiro, 15-Oct-2015.) |
| ⊢ (𝑊 ∈ Ban → 𝑊 ∈ NrmGrp) | ||
| Theorem | bnlmod 25319 | A Banach space is a left module. (Contributed by Mario Carneiro, 15-Oct-2015.) |
| ⊢ (𝑊 ∈ Ban → 𝑊 ∈ LMod) | ||
| Theorem | bncms 25320 | A Banach space is a complete metric space. (Contributed by Mario Carneiro, 15-Oct-2015.) |
| ⊢ (𝑊 ∈ Ban → 𝑊 ∈ CMetSp) | ||
| Theorem | iscms 25321 | A complete metric space is a metric space with a complete metric. (Contributed by Mario Carneiro, 15-Oct-2015.) |
| ⊢ 𝑋 = (Base‘𝑀) & ⊢ 𝐷 = ((dist‘𝑀) ↾ (𝑋 × 𝑋)) ⇒ ⊢ (𝑀 ∈ CMetSp ↔ (𝑀 ∈ MetSp ∧ 𝐷 ∈ (CMet‘𝑋))) | ||
| Theorem | cmscmet 25322 | The induced metric on a complete normed group is complete. (Contributed by Mario Carneiro, 15-Oct-2015.) |
| ⊢ 𝑋 = (Base‘𝑀) & ⊢ 𝐷 = ((dist‘𝑀) ↾ (𝑋 × 𝑋)) ⇒ ⊢ (𝑀 ∈ CMetSp → 𝐷 ∈ (CMet‘𝑋)) | ||
| Theorem | bncmet 25323 | The induced metric on Banach space is complete. (Contributed by NM, 8-Sep-2007.) (Revised by Mario Carneiro, 15-Oct-2015.) |
| ⊢ 𝑋 = (Base‘𝑀) & ⊢ 𝐷 = ((dist‘𝑀) ↾ (𝑋 × 𝑋)) ⇒ ⊢ (𝑀 ∈ Ban → 𝐷 ∈ (CMet‘𝑋)) | ||
| Theorem | cmsms 25324 | A complete metric space is a metric space. (Contributed by Mario Carneiro, 15-Oct-2015.) |
| ⊢ (𝐺 ∈ CMetSp → 𝐺 ∈ MetSp) | ||
| Theorem | cmspropd 25325 | Property deduction for a complete metric space. (Contributed by Mario Carneiro, 15-Oct-2015.) |
| ⊢ (𝜑 → 𝐵 = (Base‘𝐾)) & ⊢ (𝜑 → 𝐵 = (Base‘𝐿)) & ⊢ (𝜑 → ((dist‘𝐾) ↾ (𝐵 × 𝐵)) = ((dist‘𝐿) ↾ (𝐵 × 𝐵))) & ⊢ (𝜑 → (TopOpen‘𝐾) = (TopOpen‘𝐿)) ⇒ ⊢ (𝜑 → (𝐾 ∈ CMetSp ↔ 𝐿 ∈ CMetSp)) | ||
| Theorem | cmssmscld 25326 | The restriction of a metric space is closed if it is complete. (Contributed by AV, 9-Oct-2022.) |
| ⊢ 𝐾 = (𝑀 ↾s 𝐴) & ⊢ 𝑋 = (Base‘𝑀) & ⊢ 𝐽 = (TopOpen‘𝑀) ⇒ ⊢ ((𝑀 ∈ MetSp ∧ 𝐴 ⊆ 𝑋 ∧ 𝐾 ∈ CMetSp) → 𝐴 ∈ (Clsd‘𝐽)) | ||
| Theorem | cmsss 25327 | The restriction of a complete metric space is complete iff it is closed. (Contributed by Mario Carneiro, 15-Oct-2015.) |
| ⊢ 𝐾 = (𝑀 ↾s 𝐴) & ⊢ 𝑋 = (Base‘𝑀) & ⊢ 𝐽 = (TopOpen‘𝑀) ⇒ ⊢ ((𝑀 ∈ CMetSp ∧ 𝐴 ⊆ 𝑋) → (𝐾 ∈ CMetSp ↔ 𝐴 ∈ (Clsd‘𝐽))) | ||
| Theorem | lssbn 25328 | A subspace of a Banach space is a Banach space iff it is closed. (Contributed by Mario Carneiro, 15-Oct-2015.) |
| ⊢ 𝑋 = (𝑊 ↾s 𝑈) & ⊢ 𝑆 = (LSubSp‘𝑊) & ⊢ 𝐽 = (TopOpen‘𝑊) ⇒ ⊢ ((𝑊 ∈ Ban ∧ 𝑈 ∈ 𝑆) → (𝑋 ∈ Ban ↔ 𝑈 ∈ (Clsd‘𝐽))) | ||
| Theorem | cmetcusp1 25329 | If the uniform set of a complete metric space is the uniform structure generated by its metric, then it is a complete uniform space. (Contributed by Thierry Arnoux, 15-Dec-2017.) |
| ⊢ 𝑋 = (Base‘𝐹) & ⊢ 𝐷 = ((dist‘𝐹) ↾ (𝑋 × 𝑋)) & ⊢ 𝑈 = (UnifSt‘𝐹) ⇒ ⊢ ((𝑋 ≠ ∅ ∧ 𝐹 ∈ CMetSp ∧ 𝑈 = (metUnif‘𝐷)) → 𝐹 ∈ CUnifSp) | ||
| Theorem | cmetcusp 25330 | The uniform space generated by a complete metric is a complete uniform space. (Contributed by Thierry Arnoux, 5-Dec-2017.) |
| ⊢ ((𝑋 ≠ ∅ ∧ 𝐷 ∈ (CMet‘𝑋)) → (toUnifSp‘(metUnif‘𝐷)) ∈ CUnifSp) | ||
| Theorem | cncms 25331 | The field of complex numbers is a complete metric space. (Contributed by Mario Carneiro, 15-Oct-2015.) |
| ⊢ ℂfld ∈ CMetSp | ||
| Theorem | cnflduss 25332 | 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 25333 | The field of complex numbers is a complete uniform space. (Contributed by Thierry Arnoux, 17-Dec-2017.) |
| ⊢ ℂfld ∈ CUnifSp | ||
| Theorem | resscdrg 25334 | 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 25335 | 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 25336 | 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 25337 | 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 25338 | 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 25339 | Every subcomplex Hilbert space is a Banach space. (Contributed by Steve Rodriguez, 28-Apr-2007.) |
| ⊢ (𝑊 ∈ ℂHil → 𝑊 ∈ Ban) | ||
| Theorem | hlcph 25340 | Every subcomplex Hilbert space is a subcomplex pre-Hilbert space. (Contributed by Mario Carneiro, 15-Oct-2015.) |
| ⊢ (𝑊 ∈ ℂHil → 𝑊 ∈ ℂPreHil) | ||
| Theorem | hlphl 25341 | 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 25342 | Every subcomplex Hilbert space is a complete metric space. (Contributed by Mario Carneiro, 17-Oct-2015.) |
| ⊢ (𝑊 ∈ ℂHil → 𝑊 ∈ CMetSp) | ||
| Theorem | hlprlem 25343 | Lemma for hlpr 25345. (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 25344 | 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 25345 | 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 25346 | 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 25347 | 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 25348 | 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 25312. (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 25349 | 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 25350 | 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 25351 | 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 31312) of closed subspaces of a Hilbert space. It may be superseded by cmslssbn 25348. (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 25352 | 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 31312) 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 25353 | 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 25354 | 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 25355 | The topology of the real numbers. (Contributed by Thierry Arnoux, 30-Jun-2019.) |
| ⊢ (topGen‘ran (,)) = (TopOpen‘ℝfld) | ||
| Theorem | recms 25356 | The real numbers form a complete metric space. (Contributed by Thierry Arnoux, 1-Nov-2017.) |
| ⊢ ℝfld ∈ CMetSp | ||
| Theorem | reust 25357 | The Uniform structure of the real numbers. (Contributed by Thierry Arnoux, 14-Feb-2018.) |
| ⊢ (UnifSt‘ℝfld) = (metUnif‘((dist‘ℝfld) ↾ (ℝ × ℝ))) | ||
| Theorem | recusp 25358 | The real numbers form a complete uniform space. (Contributed by Thierry Arnoux, 17-Dec-2017.) |
| ⊢ ℝfld ∈ CUnifSp | ||
| Syntax | crrx 25359 | Extend class notation with generalized real Euclidean spaces. |
| class ℝ^ | ||
| Syntax | cehl 25360 | Extend class notation with real Euclidean spaces. |
| class 𝔼hil | ||
| Definition | df-rrx 25361 | 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 25362 | 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 25393). 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 25363 | 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 25364* | 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 25365 | 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 25366* | 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 25367* | 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 25368 | 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 25369* | The distance over generalized Euclidean spaces. Compare with df-rrn 38158. (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 25370 | 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 25371* | 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 25372 | 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 25373 | 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 25374 | 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 25375* | 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 25376* | 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 25377* | 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 25378* | 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 25379* | 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 25380* | 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 25381* | The value of the Euclidean metric. Compare with rrnmval 38160. (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 25382* | The value of the Euclidean metric. Compare with rrnval 38159. (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 25383* | Lemma for rrxmet 25384. (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 25384* | 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 25385* | 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 25386 | 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 25387* | 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 25388 | 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 25389* | 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 25390 | 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 25391 | 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 25392 | 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 25393 | 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 25394* | 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 25395* | 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 25396* | 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 25397 | 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 25398* | 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 25399 | 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 25400* | Lemma for minvec 25412. 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)) | ||
| < Previous Next > |
| Copyright terms: Public domain | < Previous Next > |