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Date: 23-11-2016
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Date: 23-11-2016
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Date: 23-11-2016
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Each partial derivative of a function f : RN → R1 isa mapping from RN into R1. This generalization of the ordinary derivative, useful for many purposes, singles out a particular direction in which the differentiation is performed. We now take up another extension of the ordinary derivative, one in which the difference quotient tends to a limit as x → a regardless of the direction of approach.
Let A be an open subset of RN, and suppose that f and g are functions from A into R1. We denote by d(x, y) the Euclidean distance between two points x, y in RN.
Definition
The continuous functions f and g are tangent at a point a ∈ A if
We note that if two functions are tangent at a point a, then necessarily f(a) = g(a). Also, if f , g, and h are functions with f and g tangent at a and with g and h tangent at a, then we verify simply that f and h are tangent at a. To see this, observe that
As x → a, the right side tends to 0, and so must the left side.
Let L : RN → R1 be a linear function; that is, L is of the form
where b0,b1,...,bN are real numbers. It may happen that a function f is tangent to a linear function at a point a. If so, this linear function is unique, as we now show.
Theorem 1.1
Suppose that L1 and L2 are linear functions tangent to a function f at a point a. Then L1 ≡ L2.
Proof
It is convenient to write the linear functions L1 and L2 in the form
From the discussion above, it follows that L1(a) = L2(a) = f(a). Hence, c0 = c/0. Also, for every Ԑ> 0, we have(1.1)
for all x sufficiently close to a. For z ∈ RN, we use the notation z=d(z, 0). Now, with δ a real number, choose
Then, for sufficiently small |δ|, we find from inequality (1.1) that
and since this inequality holds for all positive Ԑ, we must have ck = c/k, k =1, 2,...,N.
Definitions
Suppose that f : A → R1 is given ,where A is an open set in RN containing the point a. The function f is differentiable at a if there is a linear function
that is tangent to f at a. A function f is differentiable on a set A in RN if it is differentiable at each point of A. The function L is called the derivative, or total derivative, of at . We use the symbol f/(a) for the derivative of f at the point a in RN.
Theorem 1.2
If f is differentiable at a point a, then f is continuous at a. The proof is left to the reader. (Problem3 at the end of this section.) As we saw in Section of (Partial Derivatives and the Chain Rule (, a function f may have partial derivatives without being continuous. suggests that differentiability is a stronger condition than the existence of partial derivatives. The next theorem verifies this point.
Theorem 1.3
If f is differentiable at a point a, then all first partial derivatives of f exist at a.
Proof
Let L be the total derivative of f at a. We write
From the definition of derivative, it follows that(1.2)
For x we choose the element a + h, where h = (0, 0,..., 0,hi , 0,..., 0). Then equation (1.2) becomes
we may therefore write(1.3)
where Ԑ(hi) → 0as hi → 0.
We recognize the left side of equation (1.3) as the expression used in the definition of f,i(a). In fact, we conclude that
ci =f,i(a), i = 1, 2,...,N.
A partial converse of Theorem1.3 is also true.
Theorem 1.4
Suppose that f,i , i = 1,2,...,N, are continuous at a point a. Then f is differentiable at a. This result is most easily established by means of the Taylor expansion with remainder with n= 0. We leave the details for the reader.
Definitions
Suppose that f possesses all first partial derivatives at a point a in RN. The gradient of f is the element in RN whose components are (f,1(a), f,2(a),...,f,N(a)). We denote the gradient of f by ∇f or grad f .
Suppose that A is a subset of RN and f : A → R1 is differentiable on A. Let h =(h1,h2,...,hN) be an element of RN. We define the total differential df as that function from A × RN → R1 given by the formula(1.4)
Using the inner or dot product notation for elements in RN, we may also write
Equation (1.4) shows that the total differential (also called the dif ferential) of a function f is linear in h. The differential vanishes when x =a and h= 0. The Chain rule takes a natural form for differentiable functions, as the following theorem shows.
Theorem 1.5 (Chain rule)
Suppose that each of the functions g1,g2,...,gN is a mapping from RM into R1 and that each gi is differentiable at a point b= (b1,b2,...,bM). Suppose that f :RN → R1 is differentiable at the point a = (g1(b),g2(b),...,gN(b)).
Form the function
Then H is differentiable at b and
Problems
1. Let f and g be functions from RN into R1. Show that if f and g are differentiable at a point a, then f + g is differentiable at a. Also, αf is differentiable at a for every real number α.
2. Let f : R3 → R1 be given by
Find ∇f and df(x, h).
3. Suppose that all first partial derivatives of a function f : RN → R1 are continuous at a point a. Show that f is differentiable at a.(Theorem 1.4.)
Basic Elements of Real Analysis, Murray H. Protter, Springer, 1998 .Page(136-140)
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