Mathematics Exam  >  Mathematics Notes  >  Mathematics for IIT JAM, GATE, CSIR NET, UGC NET  >  Continuity and Uniform Continuity - Continuity and Differentiability, CSIR-NET Mathematical Sciences

Continuity and Uniform Continuity - Continuity and Differentiability, CSIR-NET Mathematical Sciences | Mathematics for IIT JAM, GATE, CSIR NET, UGC NET PDF Download

Download, print and study this document offline
Please wait while the PDF view is loading
 Page 1


Continuity and Uniform Continuity
521
May 12, 2010
1. ThroughoutS will denote a subset of the real numbers R andf :S! R
will be a real valued function dened on S. The set S may be bounded like
S = (0; 5) =fx2 R : 0<x< 5g
or innite like
S = (0;1) =fx2 R : 0<xg:
It may even be all of R. The valuef(x) of the functionf at the pointx2S
will be dened by a formula (or formulas).
Denition 2. The function f is said to be continuous on S i
8x
0
2S8"> 09> 08x2S

jxx
0
j< =) jf(x)f(x
0
)j<"

:
Hence f is not continuous
1
on S i
9x
0
2S9"> 08> 09x2S

jxx
0
j< andjf(x)f(x
0
)j"

:
Denition 3. The functionf is said to be uniformly continuous on S i
8"> 09> 08x
0
2S8x2S

jxx
0
j< =) jf(x)f(x
0
)j<"

:
Hence f is not uniformly continuous on S i
9"> 08> 09x
0
2S9x2S

jxx
0
j< andjf(x)f(x
0
)j"

:
1
For an example of a function which is not continuous see Example 22 below.
Page 2


Continuity and Uniform Continuity
521
May 12, 2010
1. ThroughoutS will denote a subset of the real numbers R andf :S! R
will be a real valued function dened on S. The set S may be bounded like
S = (0; 5) =fx2 R : 0<x< 5g
or innite like
S = (0;1) =fx2 R : 0<xg:
It may even be all of R. The valuef(x) of the functionf at the pointx2S
will be dened by a formula (or formulas).
Denition 2. The function f is said to be continuous on S i
8x
0
2S8"> 09> 08x2S

jxx
0
j< =) jf(x)f(x
0
)j<"

:
Hence f is not continuous
1
on S i
9x
0
2S9"> 08> 09x2S

jxx
0
j< andjf(x)f(x
0
)j"

:
Denition 3. The functionf is said to be uniformly continuous on S i
8"> 09> 08x
0
2S8x2S

jxx
0
j< =) jf(x)f(x
0
)j<"

:
Hence f is not uniformly continuous on S i
9"> 08> 09x
0
2S9x2S

jxx
0
j< andjf(x)f(x
0
)j"

:
1
For an example of a function which is not continuous see Example 22 below.
4. The only dierence between the two denitions is the order of the quan-
tiers. When you prove f is continuous your proof will have the form
Choose x
0
2S. Choose "> 0. Let  =(x
0
;"). Choose x2S.
Assumejxx
0
j<. Thereforejf(x)f(x
0
)j<".
The expression for(x
0
;") can involve bothx
0
and" but must be independent
ofx. The order of the quaniers in the denition signals this; in the proof x
has not yet been chosen at the point where  is dened so the denition of
 must not involve x. (The represent the proof thatjf(x)f(x
0
)j < "
follows from the earlier steps in the proof.) When you prove f is uniformly
continuous your proof will have the form
Choose "> 0. Let  =("). Choose x
0
2S. Choose x2S.
Assumejxx
0
j<. Thereforejf(x)f(x
0
)j<".
so the expression for  can only involve " and must not involve either x or
x
0
.
It is obvious that a uniformly continuous function is continuous: if we can
nd a  which works for all x
0
, we can nd one (the same one) which works
for any particular x
0
. We will see below that there are continuous functions
which are not uniformly continuous.
Example 5. LetS = R andf(x) = 3x + 7. Thenf is uniformly continuous
on S.
Proof. Choose "> 0. Let  ="=3. Choose x
0
2 R. Choose x2 R. Assume
jxx
0
j<. Then
jf(x)f(x
0
)j =j(3x + 7) (3x
0
+ 7)j = 3jxx
0
j< 3 =":
Example 6. Let S =fx2 R : 0 < x < 4g and f(x) = x
2
. Then f is
uniformly continuous on S.
Proof. Choose " > 0. Let  = "=8. Choose x
0
2 S. Choose x2 S. Thus
0<x
0
< 4 and 0<x< 4 so 0<x +x
0
< 8. Assumejxx
0
j<. Then
jf(x)f(x
0
)j =jx
2
x
2
0
j = (x +x
0
)jxx
0
j< (4 + 4) =":
Page 3


Continuity and Uniform Continuity
521
May 12, 2010
1. ThroughoutS will denote a subset of the real numbers R andf :S! R
will be a real valued function dened on S. The set S may be bounded like
S = (0; 5) =fx2 R : 0<x< 5g
or innite like
S = (0;1) =fx2 R : 0<xg:
It may even be all of R. The valuef(x) of the functionf at the pointx2S
will be dened by a formula (or formulas).
Denition 2. The function f is said to be continuous on S i
8x
0
2S8"> 09> 08x2S

jxx
0
j< =) jf(x)f(x
0
)j<"

:
Hence f is not continuous
1
on S i
9x
0
2S9"> 08> 09x2S

jxx
0
j< andjf(x)f(x
0
)j"

:
Denition 3. The functionf is said to be uniformly continuous on S i
8"> 09> 08x
0
2S8x2S

jxx
0
j< =) jf(x)f(x
0
)j<"

:
Hence f is not uniformly continuous on S i
9"> 08> 09x
0
2S9x2S

jxx
0
j< andjf(x)f(x
0
)j"

:
1
For an example of a function which is not continuous see Example 22 below.
4. The only dierence between the two denitions is the order of the quan-
tiers. When you prove f is continuous your proof will have the form
Choose x
0
2S. Choose "> 0. Let  =(x
0
;"). Choose x2S.
Assumejxx
0
j<. Thereforejf(x)f(x
0
)j<".
The expression for(x
0
;") can involve bothx
0
and" but must be independent
ofx. The order of the quaniers in the denition signals this; in the proof x
has not yet been chosen at the point where  is dened so the denition of
 must not involve x. (The represent the proof thatjf(x)f(x
0
)j < "
follows from the earlier steps in the proof.) When you prove f is uniformly
continuous your proof will have the form
Choose "> 0. Let  =("). Choose x
0
2S. Choose x2S.
Assumejxx
0
j<. Thereforejf(x)f(x
0
)j<".
so the expression for  can only involve " and must not involve either x or
x
0
.
It is obvious that a uniformly continuous function is continuous: if we can
nd a  which works for all x
0
, we can nd one (the same one) which works
for any particular x
0
. We will see below that there are continuous functions
which are not uniformly continuous.
Example 5. LetS = R andf(x) = 3x + 7. Thenf is uniformly continuous
on S.
Proof. Choose "> 0. Let  ="=3. Choose x
0
2 R. Choose x2 R. Assume
jxx
0
j<. Then
jf(x)f(x
0
)j =j(3x + 7) (3x
0
+ 7)j = 3jxx
0
j< 3 =":
Example 6. Let S =fx2 R : 0 < x < 4g and f(x) = x
2
. Then f is
uniformly continuous on S.
Proof. Choose " > 0. Let  = "=8. Choose x
0
2 S. Choose x2 S. Thus
0<x
0
< 4 and 0<x< 4 so 0<x +x
0
< 8. Assumejxx
0
j<. Then
jf(x)f(x
0
)j =jx
2
x
2
0
j = (x +x
0
)jxx
0
j< (4 + 4) =":
7. In both of the preceeding proofs the function f satised an inequality of
form
jf(x
1
)f(x
2
)jMjx
1
x
2
j (1)
for x
1
;x
2
2S. In Example 5 we had
j(3x
1
+ 7) (3x
2
+ 7)j 3jx
1
x
2
j
and in Example 6 we had
jx
2
1
x
2
2
j 8jx
1
x
2
j
for 0<x
1
;x
2
< 4. An inequality of form (1) is called a Lipschitz inequality
and the constant M is called the corresponding Lipschitz constant.
Theorem 8. Iff satises (1) for x
1
;x
2
2S, thenf is uniformly continuous
on S.
Proof. Choose "> 0. Let  ="=M. Choose x
0
2S. Choose x2S. Assume
thatjxx
0
j<. Then
jf(x)f(x
0
)jMjxx
0
j<M =":
9. The Lipschitz constant depend might depend on the interval. For example,
jx
2
1
x
2
2
j = (x
1
+x
2
)jx
1
x
2
j 2ajx
1
x
2
j
for 0 < x
1
;x
2
< a but the function f(x) = x
2
does not satisfy a Lipschitz
inequality on the whole interval (0;1) since
jx
2
1
x
2
2
j = (x
1
+x
2
)jx
1
x
2
j>Mjx
1
x
2
j
if x
1
=M and x
2
=x
1
+ 1. In fact,
Example 10. The function f(x) =x
2
is continuous but not uniformly con-
tinuous on the interval S = (0;1).
Proof. We show f is continuous on S, i.e.
8x
0
2S8"> 09> 08x2S

jxx
0
j< =) jx
2
x
2
0
j<"

:
Page 4


Continuity and Uniform Continuity
521
May 12, 2010
1. ThroughoutS will denote a subset of the real numbers R andf :S! R
will be a real valued function dened on S. The set S may be bounded like
S = (0; 5) =fx2 R : 0<x< 5g
or innite like
S = (0;1) =fx2 R : 0<xg:
It may even be all of R. The valuef(x) of the functionf at the pointx2S
will be dened by a formula (or formulas).
Denition 2. The function f is said to be continuous on S i
8x
0
2S8"> 09> 08x2S

jxx
0
j< =) jf(x)f(x
0
)j<"

:
Hence f is not continuous
1
on S i
9x
0
2S9"> 08> 09x2S

jxx
0
j< andjf(x)f(x
0
)j"

:
Denition 3. The functionf is said to be uniformly continuous on S i
8"> 09> 08x
0
2S8x2S

jxx
0
j< =) jf(x)f(x
0
)j<"

:
Hence f is not uniformly continuous on S i
9"> 08> 09x
0
2S9x2S

jxx
0
j< andjf(x)f(x
0
)j"

:
1
For an example of a function which is not continuous see Example 22 below.
4. The only dierence between the two denitions is the order of the quan-
tiers. When you prove f is continuous your proof will have the form
Choose x
0
2S. Choose "> 0. Let  =(x
0
;"). Choose x2S.
Assumejxx
0
j<. Thereforejf(x)f(x
0
)j<".
The expression for(x
0
;") can involve bothx
0
and" but must be independent
ofx. The order of the quaniers in the denition signals this; in the proof x
has not yet been chosen at the point where  is dened so the denition of
 must not involve x. (The represent the proof thatjf(x)f(x
0
)j < "
follows from the earlier steps in the proof.) When you prove f is uniformly
continuous your proof will have the form
Choose "> 0. Let  =("). Choose x
0
2S. Choose x2S.
Assumejxx
0
j<. Thereforejf(x)f(x
0
)j<".
so the expression for  can only involve " and must not involve either x or
x
0
.
It is obvious that a uniformly continuous function is continuous: if we can
nd a  which works for all x
0
, we can nd one (the same one) which works
for any particular x
0
. We will see below that there are continuous functions
which are not uniformly continuous.
Example 5. LetS = R andf(x) = 3x + 7. Thenf is uniformly continuous
on S.
Proof. Choose "> 0. Let  ="=3. Choose x
0
2 R. Choose x2 R. Assume
jxx
0
j<. Then
jf(x)f(x
0
)j =j(3x + 7) (3x
0
+ 7)j = 3jxx
0
j< 3 =":
Example 6. Let S =fx2 R : 0 < x < 4g and f(x) = x
2
. Then f is
uniformly continuous on S.
Proof. Choose " > 0. Let  = "=8. Choose x
0
2 S. Choose x2 S. Thus
0<x
0
< 4 and 0<x< 4 so 0<x +x
0
< 8. Assumejxx
0
j<. Then
jf(x)f(x
0
)j =jx
2
x
2
0
j = (x +x
0
)jxx
0
j< (4 + 4) =":
7. In both of the preceeding proofs the function f satised an inequality of
form
jf(x
1
)f(x
2
)jMjx
1
x
2
j (1)
for x
1
;x
2
2S. In Example 5 we had
j(3x
1
+ 7) (3x
2
+ 7)j 3jx
1
x
2
j
and in Example 6 we had
jx
2
1
x
2
2
j 8jx
1
x
2
j
for 0<x
1
;x
2
< 4. An inequality of form (1) is called a Lipschitz inequality
and the constant M is called the corresponding Lipschitz constant.
Theorem 8. Iff satises (1) for x
1
;x
2
2S, thenf is uniformly continuous
on S.
Proof. Choose "> 0. Let  ="=M. Choose x
0
2S. Choose x2S. Assume
thatjxx
0
j<. Then
jf(x)f(x
0
)jMjxx
0
j<M =":
9. The Lipschitz constant depend might depend on the interval. For example,
jx
2
1
x
2
2
j = (x
1
+x
2
)jx
1
x
2
j 2ajx
1
x
2
j
for 0 < x
1
;x
2
< a but the function f(x) = x
2
does not satisfy a Lipschitz
inequality on the whole interval (0;1) since
jx
2
1
x
2
2
j = (x
1
+x
2
)jx
1
x
2
j>Mjx
1
x
2
j
if x
1
=M and x
2
=x
1
+ 1. In fact,
Example 10. The function f(x) =x
2
is continuous but not uniformly con-
tinuous on the interval S = (0;1).
Proof. We show f is continuous on S, i.e.
8x
0
2S8"> 09> 08x2S

jxx
0
j< =) jx
2
x
2
0
j<"

:
Choose x
0
. Let a = x
0
+ 1 and  = min(1;"=2a). (Note that  depends on
x
0
since a does.) Choose x2S. Assumejxx
0
j<. Thenjxx
0
j< 1 so
x<x
0
+ 1 =a so x;x
0
<a so
jx
2
x
2
0
j = (x +x
0
)jxx
0
j 2ajxx
0
j< 2a 2a
"
2a
="
as required.
We show that f is not uniformly continuous on S, i.e.
9"> 08> 09x
0
2S9x2S

jxx
0
j< andjx
2
x
2
0
j"

:
Let " = 1. Choose  > 0. Let x
0
= 1= and x =x
0
+=2. Thenjxx
0
j =
=2< but
jx
2
x
2
0
j =






1

+

2

2


1


2





= 1 +

2
4
> 1 ="
as required. (Note that x
0
is large when  is small.)
11. According to the Mean Value Theorem from calculus for a dierentiable
function f we have
f(x
1
)f(x
2
) =f
0
(c)(x
2
x
1
):
for some c between x
1
and x
2
. (The slope (f(x
1
)f(x
2
))=(x
1
x
2
) of the
secant line joining the two points (x
1
;f(x
1
)) and (x
2
;f(x
2
)) on the graph is
the same as the slope f
0
(c) of the tangent point at the intermediate point
(c;f(c)).) If x
1
and x
2
lie in some interval S andjf
0
(c)j M for all c2 S
we conclude that the Lipschitz inequality (1) holds on S. We don't want to
use the Mean Value Theorem without rst proving it, but we certainly can
use it to guess an appropriate value of M and then prove the inequality by
other means.
12. For example, consider the function f(x) = x
1
dened on the interval
S = (a;1) where a> 0. For x
1
;x
2
2S the Mean Value Theorem says that
x
1
1
x
1
2
=c
2
(x
1
x
2
) where c is between x
1
and x
2
. If x
1
;x
2
2S then
c2 S (as c is between x
1
and x
2
) and hence c > a so c
2
< a
2
. We can
prove the inequality
jx
1
1
x
1
2
ja
2
jx
2
x
2
j
Page 5


Continuity and Uniform Continuity
521
May 12, 2010
1. ThroughoutS will denote a subset of the real numbers R andf :S! R
will be a real valued function dened on S. The set S may be bounded like
S = (0; 5) =fx2 R : 0<x< 5g
or innite like
S = (0;1) =fx2 R : 0<xg:
It may even be all of R. The valuef(x) of the functionf at the pointx2S
will be dened by a formula (or formulas).
Denition 2. The function f is said to be continuous on S i
8x
0
2S8"> 09> 08x2S

jxx
0
j< =) jf(x)f(x
0
)j<"

:
Hence f is not continuous
1
on S i
9x
0
2S9"> 08> 09x2S

jxx
0
j< andjf(x)f(x
0
)j"

:
Denition 3. The functionf is said to be uniformly continuous on S i
8"> 09> 08x
0
2S8x2S

jxx
0
j< =) jf(x)f(x
0
)j<"

:
Hence f is not uniformly continuous on S i
9"> 08> 09x
0
2S9x2S

jxx
0
j< andjf(x)f(x
0
)j"

:
1
For an example of a function which is not continuous see Example 22 below.
4. The only dierence between the two denitions is the order of the quan-
tiers. When you prove f is continuous your proof will have the form
Choose x
0
2S. Choose "> 0. Let  =(x
0
;"). Choose x2S.
Assumejxx
0
j<. Thereforejf(x)f(x
0
)j<".
The expression for(x
0
;") can involve bothx
0
and" but must be independent
ofx. The order of the quaniers in the denition signals this; in the proof x
has not yet been chosen at the point where  is dened so the denition of
 must not involve x. (The represent the proof thatjf(x)f(x
0
)j < "
follows from the earlier steps in the proof.) When you prove f is uniformly
continuous your proof will have the form
Choose "> 0. Let  =("). Choose x
0
2S. Choose x2S.
Assumejxx
0
j<. Thereforejf(x)f(x
0
)j<".
so the expression for  can only involve " and must not involve either x or
x
0
.
It is obvious that a uniformly continuous function is continuous: if we can
nd a  which works for all x
0
, we can nd one (the same one) which works
for any particular x
0
. We will see below that there are continuous functions
which are not uniformly continuous.
Example 5. LetS = R andf(x) = 3x + 7. Thenf is uniformly continuous
on S.
Proof. Choose "> 0. Let  ="=3. Choose x
0
2 R. Choose x2 R. Assume
jxx
0
j<. Then
jf(x)f(x
0
)j =j(3x + 7) (3x
0
+ 7)j = 3jxx
0
j< 3 =":
Example 6. Let S =fx2 R : 0 < x < 4g and f(x) = x
2
. Then f is
uniformly continuous on S.
Proof. Choose " > 0. Let  = "=8. Choose x
0
2 S. Choose x2 S. Thus
0<x
0
< 4 and 0<x< 4 so 0<x +x
0
< 8. Assumejxx
0
j<. Then
jf(x)f(x
0
)j =jx
2
x
2
0
j = (x +x
0
)jxx
0
j< (4 + 4) =":
7. In both of the preceeding proofs the function f satised an inequality of
form
jf(x
1
)f(x
2
)jMjx
1
x
2
j (1)
for x
1
;x
2
2S. In Example 5 we had
j(3x
1
+ 7) (3x
2
+ 7)j 3jx
1
x
2
j
and in Example 6 we had
jx
2
1
x
2
2
j 8jx
1
x
2
j
for 0<x
1
;x
2
< 4. An inequality of form (1) is called a Lipschitz inequality
and the constant M is called the corresponding Lipschitz constant.
Theorem 8. Iff satises (1) for x
1
;x
2
2S, thenf is uniformly continuous
on S.
Proof. Choose "> 0. Let  ="=M. Choose x
0
2S. Choose x2S. Assume
thatjxx
0
j<. Then
jf(x)f(x
0
)jMjxx
0
j<M =":
9. The Lipschitz constant depend might depend on the interval. For example,
jx
2
1
x
2
2
j = (x
1
+x
2
)jx
1
x
2
j 2ajx
1
x
2
j
for 0 < x
1
;x
2
< a but the function f(x) = x
2
does not satisfy a Lipschitz
inequality on the whole interval (0;1) since
jx
2
1
x
2
2
j = (x
1
+x
2
)jx
1
x
2
j>Mjx
1
x
2
j
if x
1
=M and x
2
=x
1
+ 1. In fact,
Example 10. The function f(x) =x
2
is continuous but not uniformly con-
tinuous on the interval S = (0;1).
Proof. We show f is continuous on S, i.e.
8x
0
2S8"> 09> 08x2S

jxx
0
j< =) jx
2
x
2
0
j<"

:
Choose x
0
. Let a = x
0
+ 1 and  = min(1;"=2a). (Note that  depends on
x
0
since a does.) Choose x2S. Assumejxx
0
j<. Thenjxx
0
j< 1 so
x<x
0
+ 1 =a so x;x
0
<a so
jx
2
x
2
0
j = (x +x
0
)jxx
0
j 2ajxx
0
j< 2a 2a
"
2a
="
as required.
We show that f is not uniformly continuous on S, i.e.
9"> 08> 09x
0
2S9x2S

jxx
0
j< andjx
2
x
2
0
j"

:
Let " = 1. Choose  > 0. Let x
0
= 1= and x =x
0
+=2. Thenjxx
0
j =
=2< but
jx
2
x
2
0
j =






1

+

2

2


1


2





= 1 +

2
4
> 1 ="
as required. (Note that x
0
is large when  is small.)
11. According to the Mean Value Theorem from calculus for a dierentiable
function f we have
f(x
1
)f(x
2
) =f
0
(c)(x
2
x
1
):
for some c between x
1
and x
2
. (The slope (f(x
1
)f(x
2
))=(x
1
x
2
) of the
secant line joining the two points (x
1
;f(x
1
)) and (x
2
;f(x
2
)) on the graph is
the same as the slope f
0
(c) of the tangent point at the intermediate point
(c;f(c)).) If x
1
and x
2
lie in some interval S andjf
0
(c)j M for all c2 S
we conclude that the Lipschitz inequality (1) holds on S. We don't want to
use the Mean Value Theorem without rst proving it, but we certainly can
use it to guess an appropriate value of M and then prove the inequality by
other means.
12. For example, consider the function f(x) = x
1
dened on the interval
S = (a;1) where a> 0. For x
1
;x
2
2S the Mean Value Theorem says that
x
1
1
x
1
2
=c
2
(x
1
x
2
) where c is between x
1
and x
2
. If x
1
;x
2
2S then
c2 S (as c is between x
1
and x
2
) and hence c > a so c
2
< a
2
. We can
prove the inequality
jx
1
1
x
1
2
ja
2
jx
2
x
2
j
for x
1
;x
2
a as follows. First a
2
x
1
x
2
since ax
1
and ax
2
. Then
jx
1
1
x
1
2
j =
jx
1
x
2
j
x
1
x
2

jx
1
x
2
j
a
2
(2)
where we have used the fact that 
1
< 
1
if 0 <  < . It follows that
that the function f(x) is uniformly continuous on any interval (a;1) where
a > 0. Notice however that the Lipschitz constant M = a
2
depends on
the interval. In fact, the function f(x) = x
1
does not satisfy a Lipshitz
inequality on the interval (0;1).
13. We can discover a Lipscitz inequality for the square root functionf(x) =
p
x in much the same way. Consider the function f(x) =
p
x dened on the
interval S = (a;1) where a > 0. For x
1
;x
2
2 S the Mean Value Theorem
says that
p
x
1

p
x
2
= (x
1
x
2
)=(2
p
c) where c is between x
1
and x
2
. If
x
1
;x
2
2 S then c 2 S (as c is between x
1
and x
2
) and hence c > a so
(2
p
c)
1
< (2
p
a)
1
. We can prove the inequality
j
p
x
1

p
x
2
j
jx
1
x
2
j
2
p
a
(3)
for x
1
;x
2
a as follows: Divide the equation
(
p
x
1

p
x
2
)(
p
x
1
+
p
x
2
) = ((
p
x
1
)
2
 (
p
x
2
)
2
) =x
1
x
2
by (
p
x
1
+
p
x
2
), take absolute values, and use (
p
x
1
+
p
x
2
) 2
p
a. Again the
Lipschitz constant M = (2
p
a)
1
depends on the interval and the function
does not satisfy a Lipschitz inequality on the interval (0;1).
Example 14. The function f(x) = x
1
is continuous but not uniformly
continuous on the interval S = (0;1).
Proof. We show f is continuous on S, i.e.
8x
0
2S8"> 09> 08x2S

jxx
0
j< =)




1
x

1
x
0




<"

:
Choose x
0
. Let a =x
0
=2 and  = min(x
0
a;a
2
"). Choose x2S. Assume
jxx
0
j < . Then x
0
xjxx
0
j < x
0
a sox <a so a < x so
x;x
0
<a so by (2)




1
x

1
x
0





jx
1
x
2
j
a
2
<

a
2

a
2
"
a
2
="
Read More
556 videos|198 docs

FAQs on Continuity and Uniform Continuity - Continuity and Differentiability, CSIR-NET Mathematical Sciences - Mathematics for IIT JAM, GATE, CSIR NET, UGC NET

1. What is continuity in mathematics?
Ans. Continuity is a fundamental concept in mathematics that describes the behavior of a function. A function is said to be continuous if it does not have any abrupt changes or holes in its graph. In simpler terms, it means that as the input values of the function get closer and closer together, the corresponding output values also get closer and closer together.
2. What is the difference between continuity and differentiability?
Ans. Continuity and differentiability are related concepts, but they are not the same. A function is continuous if it is defined and has no abrupt changes, while a function is differentiable if it not only has no abrupt changes but also has a well-defined derivative at every point in its domain. In other words, differentiability implies continuity, but continuity does not necessarily imply differentiability.
3. How can I determine if a function is continuous?
Ans. To determine if a function is continuous, you need to check three conditions: 1. The function must be defined at the point in question. 2. The limit of the function as it approaches the point must exist. 3. The value of the function at the point must be equal to the limit. If all three conditions are satisfied, the function is continuous at that point. If any of the conditions fail, the function is not continuous at that point.
4. What is uniform continuity?
Ans. Uniform continuity is a stronger form of continuity that applies to functions over an entire interval, rather than just at individual points. A function is said to be uniformly continuous if for any two points in its domain, the difference in their input values will always result in a difference in their output values that is within a certain tolerance, regardless of how close or far apart the two points are. Uniform continuity ensures that the function does not exhibit any rapid oscillations or sudden jumps over the entire interval, providing a more consistent and predictable behavior.
5. How is uniform continuity different from regular continuity?
Ans. The main difference between uniform continuity and regular continuity is in the quantifiers used. Regular continuity deals with individual points and requires the function to satisfy the conditions of continuity at each point. On the other hand, uniform continuity deals with intervals and requires the function to satisfy the conditions of continuity for all pairs of points within the interval. In other words, regular continuity focuses on the behavior of the function at each point individually, while uniform continuity focuses on the behavior of the function across the entire interval, ensuring a consistent behavior regardless of the distance between the points.
556 videos|198 docs
Download as PDF
Explore Courses for Mathematics exam
Signup for Free!
Signup to see your scores go up within 7 days! Learn & Practice with 1000+ FREE Notes, Videos & Tests.
10M+ students study on EduRev
Related Searches

pdf

,

UGC NET

,

GATE

,

ppt

,

UGC NET

,

Continuity and Uniform Continuity - Continuity and Differentiability

,

CSIR-NET Mathematical Sciences | Mathematics for IIT JAM

,

Objective type Questions

,

practice quizzes

,

Sample Paper

,

Continuity and Uniform Continuity - Continuity and Differentiability

,

Extra Questions

,

Free

,

Summary

,

Semester Notes

,

mock tests for examination

,

Continuity and Uniform Continuity - Continuity and Differentiability

,

Important questions

,

Viva Questions

,

GATE

,

GATE

,

video lectures

,

Previous Year Questions with Solutions

,

CSIR-NET Mathematical Sciences | Mathematics for IIT JAM

,

study material

,

MCQs

,

CSIR NET

,

shortcuts and tricks

,

Exam

,

CSIR NET

,

UGC NET

,

past year papers

,

CSIR-NET Mathematical Sciences | Mathematics for IIT JAM

,

CSIR NET

;