By Steven H. Weintraub

This article is without doubt one of the first to regard vector calculus utilizing differential kinds rather than vector fields and different superseded suggestions. Geared in the direction of scholars taking classes in multivariable calculus, this cutting edge publication goals to make the topic extra with ease comprehensible. Differential types unify and simplify the topic of multivariable calculus, and scholars who examine the topic because it is gifted during this ebook should still come away with a greater conceptual knowing of it than those that research utilizing traditional methods.

* Treats vector calculus utilizing differential forms

* offers a really concrete advent to differential forms

* Develops Stokess theorem in an simply comprehensible way

* offers well-supported, rigorously said, and carefully defined definitions and theorems.

* presents glimpses of additional themes to attract the scholar

**Read or Download Differential Forms: A Complement to Vector Calculus PDF**

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**Additional resources for Differential Forms: A Complement to Vector Calculus**

**Example text**

0 ∗ ··· ∗ 0 ∗ ··· ∗ 0 ∗ ··· ∗ 0 ∗ ··· 0 1 ∗ ··· ∗ 0 ∗ .. .. .. . . . ··· 0 0 0 ··· 0 1 ∗ ··· 0 0 0 ··· 0 0 0 .. .. .. . . . , Q = n and j1 = 1, j2 = 2, . . , jn = n), a row echelon form of A would look like 9. ROW ECHELON FORM OF A MATRIX ⎛ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎜ ⎝ 1 ∗ ∗ 0 1 ∗ .. . 0 0 0 0 0 0 .. . 25 ⎞ ··· ∗ ··· ∗ ⎟ ⎟ .. ⎟ . ⎟ ⎟ ··· 1 ⎟ ⎟ ··· 0 ⎟ ⎟ .. ⎟ . , rrefA) is: ⎛ 1 0 0 ··· ⎜ 0 1 0 ··· ⎜ ⎜ .. ⎜ . ⎜ ⎜ (‡‡) ⎜ 0 0 0 ··· ⎜ 0 0 0 ··· ⎜ ⎜ . ⎝ .. 0 0 0 ··· 0 0 .. 1 0 ..

I. vectors whose span is the solution space. , the dimension of the subspace of R4 which is spanned by the columns of the matrix). Hint: Use the result of (a) and the rank nullity theorem. 3 Suppose ⎛ 1 ⎜2 A=⎜ ⎝1 0 0 1 1 0 1 1 1 3 2 0 1 −1 ⎞ 1 1⎟ ⎟ . 2⎠ 1 Find a basis for the null space N (A) and the column space C(A) of A. 1 Ax = b , where A is m × n, b is a given vector in Rm , and x is to be determined. First we have the following lemma, which establishes that the set of all solutions of such an inhomogeneous system is either empty or an afﬁne space which is a translate of the null space N (A) of A.

JQ , the k-th column α k of A is the linear combination Q =1 c α j . Thus, we have proved that the column space C(A) of A is spanned by the columns number j1 , . . , the columns α j1 , . . , α jQ of A, where j1 , . . , jQ are the numbers of the pivot columns of rrefA). We also claim that α j1 , . . , because otherwise there are scalars Q Q c1 , . . , cQ not all zero such that =1 c α j = 0 and this says exactly that the vector =1 c ej ∈ Q Q c e = rrefA( c e ) N(A) = N (rrefA), with c1 , .