(1.) Prove that (R", d) with d : R" × R" → R defined by d(r, y) = E(Ik – yk)² k=1 is a metric space. [x = (x1,#2,..,In) and y = (y1, 42; -... Yn) are elements of R"-] %3D

Elementary Linear Algebra (MindTap Course List)
8th Edition
ISBN:9781305658004
Author:Ron Larson
Publisher:Ron Larson
Chapter6: Linear Transformations
Section6.2: The Kernewl And Range Of A Linear Transformation
Problem 69E
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Proof: Exercise
Exercises
(1.) Prove that (R", d) with d : R" x R" → R defined by
d(r, y) = >(*k – Yk)²
k=1
is a metric space. [x = (x1, 2,..., xn) and y = (yı, Y2, ..., Yn) are elements of R7-]
(2.) Let (S, d) be a metric space and suppose that p: S x S → R is defined by
d(x, y)
1+d(x,y)
P(x, y) =
for all points r, y E S. Prove that (S, p) is a metric space, that it is bounded and that
p(x, y) < d(x, y) for all r, y E S. [Hint: For the triangle inequality you may use f(t) = and
f'(t) = > 0 for all t, i,e., f is an increasing function.]
12:42 AM
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5/12/2021
Transcribed Image Text:Proof: Exercise Exercises (1.) Prove that (R", d) with d : R" x R" → R defined by d(r, y) = >(*k – Yk)² k=1 is a metric space. [x = (x1, 2,..., xn) and y = (yı, Y2, ..., Yn) are elements of R7-] (2.) Let (S, d) be a metric space and suppose that p: S x S → R is defined by d(x, y) 1+d(x,y) P(x, y) = for all points r, y E S. Prove that (S, p) is a metric space, that it is bounded and that p(x, y) < d(x, y) for all r, y E S. [Hint: For the triangle inequality you may use f(t) = and f'(t) = > 0 for all t, i,e., f is an increasing function.] 12:42 AM P Type here to search ヘ口 ) 5/12/2021
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