By Pedro M. Gadea, Jaime Muñoz Masqué, Ihor V. Mykytyuk

ISBN-10: 9400759517

ISBN-13: 9789400759510

This is the second one variation of this most sensible promoting challenge booklet for college kids, now containing over four hundred thoroughly solved routines on differentiable manifolds, Lie concept, fibre bundles and Riemannian manifolds.

The workouts pass from effortless computations to relatively subtle instruments. the various definitions and theorems used all through are defined within the first part of each one bankruptcy the place they appear.

A 56-page selection of formulae is integrated which might be worthy as an aide-mémoire, even for academics and researchers on these topics.

In this 2d edition:
• 76 new difficulties
• a part dedicated to a generalization of Gauss’ Lemma
• a brief novel part facing a few homes of the strength of Hopf vector fields
• an accelerated number of formulae and tables
• an prolonged bibliography


This booklet may be beneficial to complicated undergraduate and graduate scholars of arithmetic, theoretical physics and a few branches of engineering with a rudimentary wisdom of linear and multilinear algebra.

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Extra info for Analysis and Algebra on Differentiable Manifolds: A Workbook for Students and Teachers

Sample text

6 Immersions, Submanifolds, Embeddings and Diffeomorphisms 45 Let us compute f and f −1 . Let L = r(a, v) ∈ M. The plane of R3 containing L and passing through the point (0, 0, 1) must be parallel to the director vector of L, which is (v, 0), and also to the vector (a, 0) − (0, 0, 1) = (a, −1), (where we use the notation (x, b) ∈ R3 , for x = (x1 , x2 ) ∈ R2 , to denote the point (x1 , x2 , b)). Since these two vectors are linearly independent, we have f −1 (L) = f −1 r(a, v) = π (v, 0) ∧ (a, −1) = π(−v2 , v1 , −v2 a1 + v1 a2 ) = π J v, J v, a .

The Hessian matrix of f at (0, 0, 0) is ⎛ ⎞ ⎛ ⎞ −z sin x cos y cos x 0 1 1 f −x sin y cos z ⎠ = ⎝ 1 0 1⎠ . H(0,0,0) = ⎝ cos y cos x cos z −y sin z (0,0,0) 1 1 0 f Since det H(0,0,0) = 2 = 0, the point (0, 0, 0) is non-degenerate. f (ii) The index of f at (0, 0, 0) is the index of H(0,0,0) , that is, the number of negative signs in a diagonal matrix representing the quadratic form 2(x y + x z + y z) f associated to H(0,0,0) . Applying the Gauss method of decomposition in squares, one has 2x y + 2x z + 2y z = 2 (x + z)(y + z) − z2 =2 1 1 (x + y + 2z)2 − (x − y)2 − z2 4 4 1 1 = (x + y + 2z)2 − (x − y)2 − 2z2 .

38 Let S = (x, 0) ∈ R2 : x ∈ (−1, +1) ∪ (x, x) ∈ R2 : x ∈ (0, 1) . Let U = (x, 0) : x ∈ (−1, +1) , ϕ : U → R, ϕ(x, 0) = x, V = (x, 0) : x ∈ (−1, 0] ∪ (x, x), x ∈ (0, 1) , ψ : V → R, ψ(x, 0) = x, ψ(x, x) = x (see Fig. 12). Is A = {(U, ϕ), (V , ψ)} an atlas on the set S? The relevant theory is developed, for instance, in Brickell and Clark [1]. Solution We have S = U ∪ V . Furthermore ϕ and ψ are injective maps onto the open subset (−1, +1) of R. Thus (U, ϕ) and (V , ψ) are charts on S. However, one has ϕ(U ∩ V ) = ψ(U ∩ V ) = (−1, 0], which is not an open subset of R.

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Analysis and Algebra on Differentiable Manifolds: A Workbook for Students and Teachers by Pedro M. Gadea, Jaime Muñoz Masqué, Ihor V. Mykytyuk

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