By Loring W. Tu

Manifolds, the higher-dimensional analogues of tender curves and surfaces, are basic gadgets in smooth arithmetic. Combining elements of algebra, topology, and research, manifolds have additionally been utilized to classical mechanics, common relativity, and quantum box idea. during this streamlined creation to the topic, the idea of manifolds is gifted with the purpose of supporting the reader in attaining a speedy mastery of the basic issues. by way of the top of the publication the reader can be capable of compute, a minimum of for easy areas, some of the most simple topological invariants of a manifold, its de Rham cohomology. alongside the way in which the reader acquires the information and talents worthy for extra examine of geometry and topology. the second one variation includes fifty pages of recent fabric. Many passages were rewritten, proofs simplified, and new examples and routines extra. This paintings can be utilized as a textbook for a one-semester graduate or complicated undergraduate direction, in addition to by means of scholars engaged in self-study. The considered necessary point-set topology is incorporated in an appendix of twenty-five pages; different appendices overview evidence from actual research and linear algebra. tricks and strategies are supplied to the various routines and difficulties. Requiring basically minimum undergraduate must haves, "An creation to Manifolds" is additionally an exceptional beginning for the author's ebook with Raoul Bott, "Differential kinds in Algebraic Topology."

**Read Online or Download An Introduction to Manifolds (2nd Edition) (Universitext) PDF**

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**Extra info for An Introduction to Manifolds (2nd Edition) (Universitext)**

**Example text**

N for V ∨ is said to be dual to the basis e1 , . . , en for V . 2. The dual space V ∨ of a finite-dimensional vector space V has the same dimension as V . 3 (Coordinate functions). With respect to a basis e1 , . . , en for a vector space V , every v ∈ V can be written uniquely as a linear combination v = ∑ bi (v)ei , where bi (v) ∈ R. Let α 1 , . . , α n be the basis of V ∨ dual to e1 , . . , en . Then α i (v) = α i ∑ b j (v)e j j = ∑ b j (v)α i (e j ) = ∑ b j (v)δ ji = bi (v). j j Thus, the dual basis to e1 , .

K} is a bijection σ : A → A. More concretely, σ may be thought of as a reordering of the list 1, 2, . . , k from its natural increasing order to a new order σ (1), σ (2), . . , σ (k). The cyclic permutation, (a1 a2 · · · ar ) where the ai are distinct, is the permutation σ such that σ (a1 ) = a2 , σ (a2 ) = a3 , . . , σ (ar−1 ) = (ar ), σ (ar ) = a1 , and σ fixes all the other elements of A. A cyclic permutation (a1 a2 · · · ar ) is also called a cycle of length r or an r-cycle. A transposition is a 2-cycle, that is, a cycle of the form (a b) that interchanges a and b, leaving all other elements of A fixed.

K) by multiplying σ by as many transpositions as the total number of inversions in σ . Therefore, sgn(σ ) = (−1)# inversions in σ . 3 Multilinear Functions Denote by V k = V × · · · × V the Cartesian product of k copies of a real vector space V . A function f : V k → R is k-linear if it is linear in each of its k arguments: f (. . , av + bw, . ) = a f (. . , v, . ) + b f (. . , w, . ) for all a, b ∈ R and v, w ∈ V . ” A k-linear function on V is also called a k-tensor on V . We will denote the vector space of all k-tensors on V by Lk (V ).