2. Normed Linear Space:-
A Normed Space is a vector space N endowed
with a function(called Norm)
)_(: fieldscalarFN
Which satisfies the conditions
NyxFxx
yxyx
xx
x
,...4
.3
00.2
0.1
MANIKANTA SATYALA FUNTIONAL ANALYSIS
3. Properties of Normed Linear Space:-
xx
xx
nn
n
n
yxyx
xxxx nn
yxyx
yy
xx
nn
n
n
1.
2.
3.
4.
(i.e.,) Norm is continuous function
MANIKANTA SATYALA FUNTIONAL ANALYSIS
5. Properties of Normed Linear Space:-
The metric induced by norm i.e. d(x, y) = ||x − y||,
x, y ∈ N has translational invariant property and
absolute homogeneity property..
A normed linear space N is said to be complete if
every Cauchy sequence in N is convergent to an
element of N
If L be a subspace of a normed linear space N then
its closure L is also a subspace of N
MANIKANTA SATYALA FUNTIONAL ANALYSIS
6. A complete Normed Linear Space is called a
Banach Space.
A Banach Space is a normed linear space which
is complete with respect to a metric induced by
a norm
Banach Space :-
Remark :-
A Normed Linear Space N is said to be Complete
if every Cauchy sequence in N is convergent to
an element of N
MANIKANTA SATYALA FUNTIONAL ANALYSIS
7. Banach Space :-Examples
1. R is a Banach space
Define by : 𝑅 → 𝑅 𝑏𝑦 𝑥 = 𝑥 .
2. Euclideanspace Rn and unitary space Cn.
They are Banach spaces with norm defined by
𝑥 : 𝜉𝑗
2𝑛
𝑗=1
1/2
= 𝜉1
2 + ⋯+ 𝜉 𝑛
2.
3. Let 1 ≤ 𝑝 ≤ ∞.
𝑳 𝒑
𝒏 denotes the space of all numbers
𝑥 𝑝 = (𝑥1,𝑥2,… , 𝑥 𝑛) 𝑝 = ( 𝑥𝑖
𝑝𝑛
𝑖=1 )1/𝑝
Remark: 𝑥 = 𝑥𝑖
𝑝𝑛
𝑖=1
1/𝑝
look at a closed unit ball in R2
with different norms.
MANIKANTA SATYALA FUNTIONAL ANALYSIS
8. Banach Space
𝒀𝒐𝒖𝒏𝒈’𝒔 𝒊𝒏𝒆𝒒𝒖𝒂𝒍𝒊𝒕𝒚
Let 𝑝 > 1 and set 𝑞 =
𝑝
𝑝 − 1
. For every 𝑎, 𝑏 ∈ 𝐶:
𝑎𝑏 ≤
𝑎 𝑝
𝑝
+
𝑏 𝑞
𝑞
𝑃𝑟𝑜𝑜𝑓:
Note that
1
𝑝
+
1
𝑞
= 1.Since –log is a convexfuction thenfor every 𝛼, 𝛽 > 0:
−log
𝛼
𝑝
+
𝛽
𝑞
≤ −
1
𝑝
log 𝛼 −
1
𝑞
log 𝛽 = − log 𝛼
1
𝑝 𝛽
1
𝑞 .
It follows that:
𝛼
𝑝
+
𝛽
𝑞
≥ 𝛼
1
𝑝 𝛽
1
𝑞.
Setting 𝛼 = 𝑎 𝑝
and β = 𝑏 𝑞
we reoverthe desiredresult
MANIKANTA SATYALA FUNTIONAL ANALYSIS
13. Banach Space :-
Theorem: -
Let 𝑀 be a closed linear subspace of a normed linear space 𝑁. If
the norm of a coset 𝑥 + 𝑀 in the Quotient space 𝑁/𝑀 is
defined by 𝑥 + 𝑀 = inf 𝑥 + 𝑚 /𝑚 ∈ 𝑀 then 𝑁/𝑀 is a
normed linear space. Further if 𝑁 is complete then 𝑁/𝑀 is
complete
Remark: 𝑁/𝑀 is Banach if 𝑁 is Banach
MANIKANTA SATYALA FUNTIONAL ANALYSIS
14. Banach Space :-
Proof: -
First we have to show that 𝑁/𝑀 is Linear Space:-
Let 𝑥 + 𝑀, 𝑦 + 𝑀 ∈ 𝑁/𝑀
⟹ 𝑥 + 𝑀 + 𝑦 + 𝑀 = 𝑥 + 𝑦 + 𝑀
⟹ 𝑎 𝑥 + 𝑀 = 𝑎𝑥 + 𝑀 ∀𝑥, 𝑦 ∈ 𝑁 & 𝑎 ∈ 𝐹
Clearly 𝑁/𝑀is a linear space
Define : 𝑁/𝑀 → 𝐹 by 𝑥 + 𝑀 = inf 𝑥 + 𝑚 /𝑚 ∈ 𝑀
Now we show that 𝑁/𝑀 is Normed linear space:-
⟹ Since inf 𝑥+ 𝑚 /𝑚 ∈ 𝑀 ≥ 0.
We have 𝑥 + 𝑀 ≥ 0
⟹ Suppose 𝑥 + 𝑀 = 0 ⟺ inf 𝑥 + 𝑚 /𝑚 ∈ 𝑀 = 0
Since 𝑀 is closed, there certainly exists a sequence < 𝑚 𝑘 > such that
𝑚 𝑘 ⟶ 𝑚 ∀ 𝑘
⟹ 𝑥 + 𝑚 𝑘 ⟶ 𝑥 + 𝑚
⟺ 𝑥 + 𝑀 ∈ 𝑀 ⟺ 𝑥 ∈ 𝑀
⟺ 𝑥 + 𝑀 = 𝑀 = 𝑧𝑒𝑟𝑜 𝑒𝑙𝑒𝑚𝑒𝑛𝑡 𝑜𝑓 𝑁/𝑀.
MANIKANTA SATYALA FUNTIONAL ANALYSIS
16. Banach Space :-
So it is enough to show that 𝑁/𝑀 is Complete.
⟹ Let 𝑥 𝑛 + 𝑀 be a Cauchy sequence in 𝑁/𝑀.
Choose 𝑦1 ∈ 𝑥1 + 𝑀. & 𝑦2 ∈ 𝑥2 + 𝑀 ∋ 𝑦1 − 𝑦2 <
1
2
Now choose 𝑦3 ∈ 𝑥3 + 𝑀 ∋ 𝑦2 − 𝑦3 <
1
22.
On continue this processes, we get 𝑦𝑛 − 𝑦𝑛+1 <
1
2 𝑛
Suppose 𝑚 < 𝑛 in 𝑁. Then,Consider
𝑦 𝑚 − 𝑦𝑛 = 𝑦 𝑚 − 𝑦 𝑚 +1 + 𝑦 𝑚 +1 − 𝑦 𝑚 +2 + 𝑦 𝑚 +2 + ⋯ + 𝑦 𝑛 −1 − 𝑦𝑛
≤ 𝑦 𝑚 − 𝑦 𝑚 +1 + 𝑦 𝑚 +1 − 𝑦 𝑚 +2 + ⋯ + 𝑦 𝑛−1 − 𝑦𝑛
≤
1
2 𝑚 +
1
2 𝑚 +1 +
1
2 𝑚 +2 + ⋯ +
1
2 𝑛 −1
<
1
2 𝑛−1
⟹ 𝑦𝑛 Converges.
𝑖. 𝑒. , 𝑦𝑛 ⟶ 𝑦(𝑠𝑎𝑦) Since 𝑁 is Complete
Consider 𝑥 𝑛 + 𝑀 − 𝑦 + 𝑀 = 𝑥 𝑛 − 𝑦 + 𝑀 ⟶ 0
⟹ 𝑥 𝑛 + 𝑀 ⟶ 𝑦 + 𝑀
⟹ 𝑁/𝑀 is complete
MANIKANTA SATYALA FUNTIONAL ANALYSIS
17. Banach Space :-
Bounded Linear : -Transformation
Let 𝑁, 𝑁 be two normed linear spaces. A linear transformation
𝑇: 𝑁 → 𝑁 is said to be bounded if 𝑇𝑥 ≤ 𝑀 𝑥 ∀𝑥 ∈ 𝑁 & 𝑀 > 0.
Continuous Linear Transformation: -
A transformation 𝑇 is said to be Continuous if it is continuous as a
mapping of Metric space 𝑁 into a Metric space 𝑁 .
(i.e,) 𝑥 𝑛 → 𝑥 ⟹ 𝑇𝑥 𝑛 → 𝑇𝑥
MANIKANTA SATYALA FUNTIONAL ANALYSIS