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This  WiZiQ Calculus Tutorial Link   gives the date and time of a whyslopes. com interactive session  in which students may see written and spoken answers to start of calculus questions on say on functions, limits, continuity, and derivatives.  First session is free.

YOU are better than YOU think. Show yourself  how:

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 For better work & study skills, read logic chapters 1 to 5  in  Three Skills for Algebra. Sooner is better. Learn to read like a lawyer.

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 Logic Mastery
 Amazing, Amusing, Amorous,  Delicious, Delightful, Edifying, Strengthening Elixir. 
It eases work & learning difficulties Makes the hard easier. Opens eyes. Leads to greater precision.
in reading and writing

Do not leave here without it -  Logic mastery  will develops critical thinking, improve reading and writing, and give a firmer base for work and studies at many levels. Good luck.

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Caution: Site advice is approximately correct, for some circumstances, not all. Site How-TOs are logically developed, but not tried and tested. That leaves room for thought and refinement..

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After logic  (a) continue reading Three Skills for Algebra, chapters 8 to 14  and do so alongside site area on solving linear2007 Equations ; or (b) see this calculus starter lesson and Volume 3, Why Slopes  & More Math, chapters 2 to 6;


For online automated help in senior high school maths & calculus, visit  quickmath.com  For Automatic Calculus and Algebra Help with derivatives, integrals, graphs, linear equations, matrix algebra, visit calc101.com  With  overlap, each site quickmath & calc101offers a different range of services, some free, some not, all based on webmathematica. Good luck.


Explore collaborative whiteboards from groupboardtwiddla  or scriblink.



Continuity at a point. 

Let  a be a real numbers. Suppose f(x) is a real-valued function for which


lim
x® a 
f(x) = L  

for some number L (finite). Moreover, suppose f(a) is defined and L = f(a).  then f(x) is continuous at x = a. 

The following theorem will help you quickly identify continuous functions in any calculus course that you take. 

Theorem: Continuity at a Point.

  1. If f(x) and g(x) are continuous at x = a, and c is a real number, then  scalar multiples, c·f(x),  the sum f(x)+g(x), the difference f(x)-g(x), the product f(xg(x) are also continuous  at x = a.
  2. If f(x) and g(x) are continuous at x = a, and g(a) ¹ 0, then the reciprocal [1/(g(x))] and the quotient or ratio [(f(x))/(g(x))]  are also continuous at x = a.
The assertions in this theorem are consequences of the previous theorem on the algebraic properties of limits.

In practice, continuity at x = a implies the limit 


lim
x® a 
f(x) = L  
can be evaluated by the immediate substitution of x = a in the function f(x). 

Example: 


lim
x® 5 
3x+4 = 3(5) + 4  = 19  
 

Continuity of a function f(x) at a number a corresponds to the requirement that the limit L = f(a).  That is, f(a) = limx® a f(x)  In the latter case, limit evaluation by immediate substitution is possible. 

It is possible for 

  • the limit L = limx® a f(x) to exist and not equal f(a), and 
  • the limit L = limx® a f(x) to exist and f(a) while  f(a)  is undefined.

In the latter case f(x) is not continuous at x = a.

Continuity on an Interval.

A function f(x) is continuous on an interval I if and only if for each point a in I, the function f(x) is continuous at x = a.  (Here is understood that one sided limits are to be used at included endpoints of the interval I.)

Theorem: Continuity on an Interval.

  1. If f(x) and g(x) are continuous on an interval, and c is a real number, then  scalar multiples, c·f(x),  the sum f(x)+g(x), the difference f(x)-g(x), the product f(xg(x) are also continuous  on the interval
  2. If f(x) and g(x) are continuous on an interval I, and g(x) ¹ 0 for all points x in the interval I then the reciprocal [1/(g(x))] and the quotient or ratio [(f(x))/(g(x))]  are also continuous on the interval. 
The assertions in this theorem are consequences of the previous theorem on the algebraic properties of limits.

Continuity at Point Revisited

To explain the idea of continuity of a function y = f(x) at a point x = a, we ask the following error-control question with b = f(a): to what number m of places should the decimal expansions of x and a agree, for the decimal expansion of the number f(x) to agree with that of b = f(a) to n-decimal places? That is, given a whole number n, is there an m such that
|x-a| < d = ½ ·  1 
10m
    implies    |f(x)-f(a)| < e = ½ ·   1 
10m
    (?)
An affirmative answer requires that agreement of x with a to m decimal places implies the agreement of f(x) with f(a) to n decimal places. An affirmative answer says unlimited accuracy and error control is possible at x = a.

The Greek letters d (delta) and e (epsilon) above are employed here in accordance with tradition of some (not all) calculus texts. For simplicity, the error control tolerances e and d in the first instance here and below, may be restricted to be numbers of the form ½ ·10-k = ½ [1/(10k)]. The decimal free discussion of error control and continuity dispenses with this requirement.

We say a function f(x) is continuous at a point x = a if and only if unlimited error control is possible there. More formally, we state the following definition.

Theorem 14.1 [Continuity at a Point] If f(x) is a real-valued function of a real number x in an interval [c,d], and a is a number in the interval [c,d] then the function f is said to be continuous at the number x = a if and only if the following holds. If for every n, there exist an m such that
|x-a| < d = ½ ·  1 
10m
    implies    |f(x)-f(a)| < e = ½ ·  1 
10m
·

Decimal-Free Form

The decimal-free description or definition of continuity at a point x = a is as follows.

[Continuity at Point] If f(x) is a real-valued function of a real number x in an interval [c,d], and a is a point in the interval [c,d] then the function f is said to be continuous at x = a if and only if the following holds: For every e1 > 0, there exist a d1 > 0 such that
|x-a| < d1     implies    |f(x)-f(a)| < e1
It is easily shown that the decimal-free and decimal-based definitions are equivalent. The proof of equivalence, better left to a second reading of this work, follows.

Proof of Equivalence.

To show the decimal-based description implies the decimal-free description of continuity, observe the following. First given e1 > 0, there is an n > 0 such that e1 > ½·[1/(10n)] = e. The decimal-based requirement for continuity now is satisfied for some d = ½·[1/(10m)]. So the decimal-free version holds with d1 = d = ½·[1/(10m)].

Conversely, the other way that is, to show the latter decimal-free form implies the decimal-based description of continuity, observe the following. Given m > 0, let e1 = e = ½ ·[1/(10m)]. Then choose d1 > 0 so that the decimal-free requirement is satisfied. The decimal-based version is then satisfied if m > 0 is selected so that d1 ³ d = ½·[1/(10m)].

Recapitulation - Limit of a Function

  • [Play Video]  4½ minutes: Algebraic View of Limits. Example involving sums and quotients.
  • [Play Video]  5½ minutes: Limits and Error Control for Linear Expressions
  • [Play Video]  2¾ minutes: Error Control to N decimal Places, say 5 or 10. 
  • [Play Video]  3¼ minutes:  Limits as Error Control for an unlimited number of decimal places. 

Suppose f(x) is a function of real numbers x and that it is defined on an interval containing the number a

[Limit of a Function] A function f(x) converges to a finite limit at the point x = a if and only if there is a real number L such that for every integer n, there is an m such that

|x-a| < d = ½  1 
10m
    implies    |f(x)-L| < e = ½   1  
10n
In the latter case, a limit L is said to exist and we write
L =
lim
x® a 
f(x)
The in-line expression limx® a f(x) and the displayed expression

lim
x® a 
f(x)
should both be read as the limit as x goes to a of f(x). Here remember to read f(x) as f of x.

Continuity of a function f(x) at a number a corresponds to the requirement that the limit L = f(a). But it is possible for the limit L = limx® a f(x) to exist and not equal f(a).

Significant Digit Error Control

  • [Play Video]  4½ minutes: Algebraic View of Limits. Example involving sums and quotients.
  • [Play Video]  5½ minutes: Limits and Error Control for Linear Expressions
  • [Play Video]  2¾ minutes: Error Control to N decimal Places, say 5 or 10. 
  • [Play Video]  3¼ minutes:  Limits as Error Control for an unlimited number of decimal places. 

The question of relative error is related to the unrestricted control of the number of significant digits in computations: For every n is there an m such that

|x-a|
|
a|

< ½   1  
10m
    implies    

|f(x)-f(a)|
|f(a)|

< ½   1 
10n
    (?)

This question can only be answered when division by zero is avoided. In numerical calculations, circumstances may suggest what is more important (more precisely what is feasible): absolute error control or relative error control.

Various error control (or continuity) questions can be based on different measures of closeness for x and f(x), that is, different measures of closeness on the domain and range of a function f. For example, the question of relative error on the domain can also be posed as follows: for every n is there an m such that

|x-a|

< ½   1  
10m
    implies    

|f(x)-f(a)|
|f(a)|

< ½   1 
10n
    (?)

For addition and subtraction, absolute error control (the first type introduced in this chapter) is more appropriate than relative error or significant digit control. For multiplication and division, relative error and significant digit error control is more appropriate. When there is a mixture of addition or subtraction with multiplication or division, no simple advice can be offered. A course on numerical methods could discuss this topic further.

 

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Calculus Videos
0.   First Calculus Preview
0. Triangle Inequality
0 Inequalities
0. Solving Inequalities
1. Distance+Midpt Formulas
1. Function Domains
1.Polynomial Domain+Range
1. Fn:  Linear Combinations
1. Fn Composition II
1. Fn Composition I
1. Solving y**n = x**m
2 .Real Numbers
2. Limits Numerical View
2. Limits,. Formal Definition
2. Limit Properties Numerically
2. Decimal View of Limits
2. Error Control View
2. Limits & Continuity
2. Limit Vals via Substitution
2. Limits & Composite Fns
2.. Limit Examples
2. One Sided Limits
2. Infinity and Limits
2. Parameters in Limits
3. Derivative Motivation
3.  Derivative Definition I
3. Derivatives Definition II
3. Calculus: Why Radians
3 d/dx of sin(x) & cos(x)  (I)
3 d/dx of sin(x) & cos(x) (II)
3.Sum Rule
3. Product Rule
3. Power Rule
3. Previous Rules Combined
3. d/dx for Polynomials
3. Reciprocal Rule
3. Reciprocal Law: sec & csc
3. Reciprocals & Power Rule
3. Power Law for Integers < 0
3. Quotient Rule
3. Quotient Rule Examples
3. Quotient Rule: tan & cot
3.  Linear Chain Rule
3. Chain Rule for Powers
3. Chain Rule - Polynomials
3. Chain Rule Examples I
3. Chain Rule Examples II
3. Linear Approximation I
3. General Chain Rule
3. Inverse Fns Derivatives
3. Chain Rule: ln(x) & exp(x)
3. Square & Cube Roots
4.  Linear Approximation
4. Second Derivative Test
4. Sketch y = x^3 - 6x^2- 12x
4. Sketch y = x^3 - 3 x^2 - 9x
4. Sketch y = 1 - 1/(1+x^2)
5. Indefinite Integrals A
5. Indefinite Integrals B.
5  Indefinite Integrals C
6. Definite Integral D
6. Area Under Curves
7. Volume of a Sphere

To Learn More, visit Volumes 2 and 3.


Advanced Topics

Limit Properties Algebraically
Pigeon Hole Principle
Bolzano
Constant Difference Thm
Continuous Functions
Rational Functions
Mean Value Theorem
One Side Range Theorem
Range On One Side
From Lipschitz Continuity

To Learn More: Visit Real Analysis.

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