O Let a = (a1, a2, . .. , an) and b = (b1, b2, ..., bn) be any two vectors in R". The inner product (dot product) of these two vectors are defined as %3D a · b = a,b1 + azb2 + · ··+ anbn; and also the norms of these vectors are defined as ||a| = Vā ã = Va + a3 + · … · + a%: ||| = V5 - 6 b² + b3 +• + b2. %3D ... Prove the Cauchy-Schwarz inequality (a b)2 < |lä|²||bP, that is the inequality (a¡b1 + azb2 +...+ anbn)² < (a? + až + . .. + a%)(bỉ + b3 + ..+ b²).

Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
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O Let a = (a1, a2, . .. , an) and b = (b1, b2, ..., bn) be any two vectors in R". The inner product
(dot product) of these two vectors are defined as
%3D
a · b = a,b1 + azb2 + · ··+ anbn;
and also the norms of these vectors are defined as
||a| = Vā ã = Va + a3
+ · … · + a%:
||| = V5 - 6
b² + b3 +•
+ b2.
%3D
...
Prove the Cauchy-Schwarz inequality (a b)2 < |lä|²||bP, that is the inequality
(a¡b1 + azb2 +...+ anbn)² < (a? + až + . ..
+ a%)(bỉ + b3 + ..+ b²).
Transcribed Image Text:O Let a = (a1, a2, . .. , an) and b = (b1, b2, ..., bn) be any two vectors in R". The inner product (dot product) of these two vectors are defined as %3D a · b = a,b1 + azb2 + · ··+ anbn; and also the norms of these vectors are defined as ||a| = Vā ã = Va + a3 + · … · + a%: ||| = V5 - 6 b² + b3 +• + b2. %3D ... Prove the Cauchy-Schwarz inequality (a b)2 < |lä|²||bP, that is the inequality (a¡b1 + azb2 +...+ anbn)² < (a? + až + . .. + a%)(bỉ + b3 + ..+ b²).
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