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411 समाचार
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411 REFERENCE · Wikibooks

Mizar Commentary on Walter Rudin's Principles of Mathematical Analysis/Functions of Several Variables

Reference material by Wikibooks contributors. This retains its source identity and is not 411 news reporting.

Linear Transformations 9.1 Definition (a) Compare 1.36 Definitions (for vector spaces). Aside from that, REAL-NS n as a normed space is defined in REAL_NS1:def 4 and TOP-REAL n as a topological space is defined in EUCLID:def 8. (There is also REAL-US n (REAL_NS1:def 6).) Note that these are not a VectSp (compare NORMSTR (NORMSP_1), RLTopStruct (RLTOPSP1) and ModuleStr (VECTSP_1) in the second diagram here). RLSStruct (RLVECT_1) is incorporated into both NORMSTR and RLTopStruct and delivers most properties for both variants. RLS can be seen as a abbreviation of Real Linear Scalar. The RLSStruct variant of REAL n (EUCLID:def 1) would be RealVectSpace(Seg n) (FUNCSDOM:def 6 and FINSEQ_1:def 1). Note that there is CLSStruct (CLVECT_1) which will not be discussed here. (b) A Linear_Combination of (RLVECT_2:def 3) is given as a function, sending the vectors to their associated scalars. Lin(S) (RLVECT_3:def 2) is the span of . More generally, a Linear_Combination of a vector space is defined in VECTSP_6:def 1 and Lin(S) in VECTSP_7:def 2. (c) Lineary independence is defined in RLVECT_3:def 1 or more generally in VECTSP_7:def 1. (d) dim X is defined in RLVECT_5:def 2 or more generally in VECTSP_9:def 1. The remark is given by RLVECT_5:32 or VECTSP_9:29. (e) The Basis of X is defined in RLVECT_3:def 3 or more generally in VECTSP_7 via VECTSP_7:def 3. No reference for the remark or the standard basis. 9.2 Theorem No reference. Corollary is EUCLID_7:46 for RealVectSpace(Seg n), RLAFFIN3:4 for TOP-REAL n and EUCLID_7:51 for REAL-US n, else no reference. 9.3 Theorem (a) No reference, but see RLVECT_5:29. (b) is given by existence property of the definition of a basis (see RLVECT_3:def 3). (c) is given by RLVECT_3:26 or RLVECT_5:2. 9.4 Definition For VectSp is a linear-transformation (RANKNULL) if it is a additive (VECTSP_1:def 19), homogeneous (MOD_2:def 2) function. For RealLinearSpace is a LinearOperator (LOPBAN_1) if it is a additive (VECTSP_1:def 19), homogeneous (LOPBAN_1:def 5) function. 9.5 Theorem No reference. 9.6 Definitions (a) For RealLinearSpace is LinearOperators(X,Y) (LOPBAN_1:def 6), no reference fro VectSp. The addition of functions from to is generally given by FuncAdd(X,Y) (LOPBAN_1:def 1, but also see FUNCT_3:def 7, FUNCOP_1:def 3 and the redefinition of the latter in FUNCSDOM to understand the definition; or look at LOPBAN_1:1). Skalar multiplication of functions is only given for RealLinearSpace by FuncExtMult(X,Y) (LOPBAN_1:def 2), else no reference. (b) Composition was already defined RELAT_1:def 8. Additivity of the composition is clustered in GRCAT_1 (see also GRCAT_1:7). Homogeneity of the composition is only given for the one defined in MOD_2:def 2, given by MOD_2:2, else no reference. However, the combination for RealLinearSpace is given by LOPBAN_2:1. (c) For a bounded operator between two RealNormSpace (NORMSP_1) and the norm is given by BoundedLinearOperatorsNorm(X,Y).A (LOPBAN_1:def 13), before it is packed into R_NormSpace_of_BoundedLinearOperators (LOPBAN_1:def 14). The first inequality is given by LOPBAN_1:32, no reference for the second inequality. No reference for VectSp either. 9.7 Theorem (for VectSp) No reference. 9.7 Theorem (for RealNormSpace) (a) The first part is given implicitly by LOPBAN_1:27, the second one is given by LOPBAN_8:3. (b) First part is LOPBAN_1:37. The distance function is generally given by NORMSP_2:def 1 and the generated metric space by NORMSP_2:def 2. (c) is LOPBAN_2:2. 9.8 Theorem No reference. 9.9 Matrices No reference. Differentiation 9.10 Preliminaries The new viewpoint on differentiation is the one Mizar starts with, see 5.1 Definition and FDIFF_1. 9.11 Definition The notations are the same as for differentiation of real functions: is differentiable at means f is_differentiable_in x (NDIFF_1:def 6), is diff(f,x) (NDIFF_1:def 7). is differentiable on means f is_differentiable_on E (NDIFF_1:def 8), is f`|E (NDIFF_1:def 9). See also PDIFF_1:def 7/8. 9.12 Theorem is given by the uniqueness property of NDIFF_1:def 7. 9.13 Remark (a) Basically given by NDIFF_1:47. (b) Given by the types of NDIFF_1:def 7 and NDIFF_1:def 9. (c) is NDIFF_1:44/45. (d) Nothing to formalize. 9.14 Example No reference, but NDIFF_1:43 is similar. 9.15 Theorem is NDIFF_2:13. 9.16 Partial derivates is partdiff(f,x,j,i) (PDIFF_1:def 16). The use of e_j and u_i is avoided by using reproj(j,x) (PDIFF_1:def 5/6) and Proj(i,m) (PDIFF_1:def 4) respectively. 9.17 Theorem No reference. 9.18 Example No reference. 9.19 Theorem No reference. Corollary No reference. 9.20 Definition No reference. 9.21 Theorem is PDIFF_8:20-22. The Contraction Principle 9.22 Definition is ALI2:def 1 for MetrSpace and NFCONT_2:def 3 for NORMSTR. 9.23 Theorem is ALI2:1 for MetrSpace and NFCONT_2:14 for RealBanachSpace. The Inverse Function Theorem 9.24 Theorem No reference. 9.25 Theorem No reference. The Implicit Function Theorem 9.26 Notation 9.27 Theorem 9.28 Theorem 9.29 Example No reference.