By James J. Callahan
With a clean geometric method that comes with 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 fundamental theorems of Gauss and Stokes--the textual content treats different vital themes in differential research, similar to Morse's lemma and the Poincaré lemma. the tips in the back of such a lot subject matters might be understood with simply or 3 variables. This invitations geometric visualization; the publication comprises sleek computational instruments to offer visualization genuine strength. utilizing second and 3D pictures, the e-book bargains new insights into basic components of the calculus of differentiable maps, akin to the position 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 subject matter keeps with an research of the actual that means of the divergence and the curl at a degree of aspect no longer present in different complicated 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 direction on complicated calculus and for a number of semester courses--including themes in geometry. It avoids duplicating the cloth of genuine research. The measured velocity of the ebook, with its vast examples and illustrations, make it in particular compatible for autonomous study.
Read Online or Download Advanced Calculus: A Geometric View PDF
Similar calculus books
This textbook for the fundamental lecture process a similar identify bargains with chosen subject matters of multidimensional research. it's also an creation to the idea of standard differential equations and the Fourier conception, of significance within the program of picture processing and acoustics
This e-book supplies an advent to the very energetic box of combinatorics of affine Schubert calculus, explains the present cutting-edge, and states the present open difficulties. Affine Schubert calculus lies on the crossroads of combinatorics, geometry, and illustration idea. Its glossy improvement is inspired via likely unrelated instructions.
This e-book is the 1st to be committed totally to the capability thought of the warmth equation, and therefore bargains with time based capability thought. Its goal is to offer a logical, mathematically distinctive creation to a topic the place formerly many proofs weren't written intimately, as a result of their similarity with these of the capability conception of Laplace's equation.
- Asymptotic Analysis of Fields in Multi-Structures (Oxford Mathematical Monographs)
- Student's Solutions Manual for Multivariable Calculus: Early and Late Transcendentals
- Funktionentheorie , 1st Edition
- Learning Higher Mathematics: Part I: The Method of Coordinates Part II: Analysis of the Infinitely Small, 1st Edition
- Ergodic Theory, Randomness and Dynamical Systems (Mathematical Monograph)
Additional resources for Advanced Calculus: A Geometric View
V 0 0 This eigenvector is horizontal; it implies that horizonal lines are invariant under M7 . But because no vector in any other direction is an eigenvector, no other direction is invariant. The geometric action of M7 is called a shear. Of course we associate eigenvalues with stretches; in this example the shear is combined with a uniform dilation whose magnitude is given by the single eigenvalue 2. Shears M8 = x 4 −2 2 0 A shear can take a less recognizable form, as in the following example. M8 : x = 4u − 2v, y = 2u, M8 = v 4 −2 .
First, the signed area of the unit square e1 ∧ e2 should be +1 (rather than −1). Second, area(w ∧ v) = − area(v ∧ w) for all v, w. 7. area v1 w1 ∧ v2 w2 = det ⊔ ⊓ The signed area is the determinant of the matrix V whose columns are the coordinates of v and w, in that order. The matrix represents a linear map x = V (s,t) = sv + tw e2 w e1 ∧e2 V (s, t) e1 s Orientation and signed area v v∧w w v w w∧v = −v∧w v1 w1 . v2 w2 Proof. 15. t Area multiplier v x v∧w v w that maps the unit square e1 ∧ e2 to v ∧ w.
C Thus, we can assign to the underlying unoriented path C an arc length equal to the common arc lengths of +C and −C. The path integral of a scalar function Mass of a wire Note that the integrand of every path integral we have considered—with the exception of the integral for arc length—has been a vector function. , the orientation) of the integration path. With a scalar function, there is no similar concern and, as we have seen, arc length is meaningful for an unoriented path. We now define the integral of a general scalar function over an unoriented path, illustrating the ideas by using mass density.