By James J. Callahan

ISBN-10: 144197332X

ISBN-13: 9781441973320

With a clean geometric strategy that includes greater than 250 illustrations, this textbook units itself except all others in complicated calculus. along with the classical capstones--the swap of variables formulation, implicit and inverse functionality theorems, the vital theorems of Gauss and Stokes--the textual content treats different very important subject matters in differential research, comparable to Morse's lemma and the Poincaré lemma. the tips in the back of such a lot subject matters may be understood with simply or 3 variables. This invitations geometric visualization; the e-book accommodates smooth computational instruments to provide visualization actual energy. utilizing second and 3D snap shots, the ebook deals new insights into primary components of the calculus of differentiable maps, corresponding to the function of the spinoff because the neighborhood linear approximation to a map and its function within the swap of variables formulation for a number of integrals. The geometric topic maintains with an research of the actual which means of the divergence and the curl at a degree of aspect no longer present in different complex calculus books. complex Calculus: a geometrical View is a textbook for undergraduates and graduate scholars in arithmetic, the actual sciences, and economics. must haves are an advent to linear algebra and multivariable calculus. there's adequate fabric for a year-long path on complicated calculus and for numerous semester courses--including subject matters in geometry. It avoids duplicating the cloth of genuine research. The measured velocity of the e-book, with its broad examples and illustrations, make it particularly appropriate for self reliant research.

**Read or Download Advanced Calculus: A Geometric View (Undergraduate Texts in Mathematics) PDF**

**Similar calculus books**

**Read e-book online Time-Varying Vector Fields and Their Flows PDF**

This brief publication offers a accomplished and unified remedy of time-varying vector fields lower than quite a few regularity hypotheses, specifically finitely differentiable, Lipschitz, tender, holomorphic, and genuine analytic. The presentation of this fabric within the genuine analytic surroundings is new, as is the style within which some of the hypotheses are unified utilizing useful research.

**Get Measure and Integration PDF**

This publication covers the fabric of a 12 months path in genuine research. It contains an unique axiomatic method of Lebesgue integration which the authors have chanced on to be potent within the school room. every one bankruptcy comprises a number of examples and an intensive challenge set which expands significantly the breadth of the fabric lined within the textual content.

**Download e-book for iPad: Worldwide Multivariable Calculus by David Massey**

Ebook by way of David Massey

- The Analysis of Variance: Fixed, Random and Mixed Models
- Elliptic Regularity Theory: A First Course
- Cyclic Phenomena for Composition Operators
- Calculus - Early Transcendentals [intro txt]
- Introductory Lectures on Siegel Modular Forms

**Extra info for Advanced Calculus: A Geometric View (Undergraduate Texts in Mathematics)**

**Example text**

N. The set has negative orientation if detV < 0. Geometry in Rn , n > 3 46 2 Geometry of Linear Maps We can now construct the analogue of a parallelepiped, and define its volume and orientation, by extending the wedge product as follows. 4 Let {v1 , v2 , . . , vn } be an ordered set of vectors in Rn ; the oriented n -dimensional parallelepiped v1 ∧ v2 ∧ · · · ∧ vn is the set of vectors n w = ∑ ti vi , i=1 Orientation and volume 0 ≤ ti ≤ 1, i = 1, . . , n. 5 The orientation of v1 ∧ v2 ∧ · · · ∧ vn is the orientation of the ordered set {v1 , v2 , .

Suppose U is an eigenvector of B with eigenvalue λ : BU = λ U. Then G−1 AGU = λ U, so A(GU) = G λ U = λ (GU). 4 Equivalent matrices have the same eigenvalues and therefore the same trace, determinant, and characteristic polynomial. Proof. According to the theorem, every eigenvalue of B = G−1 AG is an eigenvalue of A. But equivalence is symmetric (A = H −1 BH with H = G−1 ), so every eigenvalue of A is an eigenvalue of B. 1 Maps from R2 to R2 37 Even when the eigenvalues and eigenvectors of M are complex, they can provide crucial information about the geometric action of M on the real plane R2 .

3. If C is a smooth, simple, oriented curve parametrized as x(t), with a ≤ t ≤ b, then C ds = arc length of C = b x′ (t) dt. a ⊔ ⊓ Let Ct denote the segment of C parametrized by x(v) with a ≤ v ≤ t. Then the arc length of Ct is the function s(t) = t x′ (v) dv. a x(b) Note that 0 ≤ s(t) ≤ L = arc length of C. By the fundamental theorem of calculus, s′ (t) = x′ (t) . Because x′ (t) > 0 on a < t < b, the function s = s(t) is invertible on this interval. Let t = σ (s) be the inverse (extended to all of 0 ≤ s ≤ L by setting a = σ (0), b = σ (L)).

### Advanced Calculus: A Geometric View (Undergraduate Texts in Mathematics) by James J. Callahan

by Paul

4.2