Problem 2.4. Prove that every subset of a linearly independent set is linearly independent: that is, If SC Rn (where n E N is nonzero) is linearly independent and we have another set T that is a subset of S, then T is linearly independent.

Elementary Geometry For College Students, 7e
7th Edition
ISBN:9781337614085
Author:Alexander, Daniel C.; Koeberlein, Geralyn M.
Publisher:Alexander, Daniel C.; Koeberlein, Geralyn M.
ChapterP: Preliminary Concepts
SectionP.1: Sets And Geometry
Problem 19E: What relationship subset, intersect, disjoint, or equivalent can be used to characterize the two...
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How would I go about proving the problem 2.4 in the image I attached? Thanks!

2. THE PROBLEMS
Definition 2.1 (Subsets). We say that a set A is a subset of another set B if every element in A
also belongs to B. We write A CB to say that A is a subset of B.
Example 2.2. The set {1,2,3} is a subset of {1, 2, 3, 4, 5}, and we write {1,2,3} {1,2,3,4,5}
to indicate this.
Example 2.3. The set of natural numbers N is a subset of the set of real numbers R, since every
natural number is also a real number. We write NCR to indicate this.
Problem 2.4. Prove that every subset of a linearly independent set is linearly independent: that
is, If SCR (where n E N is nonzero) is linearly independent and we have another set T that is a
subset of S, then T is linearly independent.
Transcribed Image Text:2. THE PROBLEMS Definition 2.1 (Subsets). We say that a set A is a subset of another set B if every element in A also belongs to B. We write A CB to say that A is a subset of B. Example 2.2. The set {1,2,3} is a subset of {1, 2, 3, 4, 5}, and we write {1,2,3} {1,2,3,4,5} to indicate this. Example 2.3. The set of natural numbers N is a subset of the set of real numbers R, since every natural number is also a real number. We write NCR to indicate this. Problem 2.4. Prove that every subset of a linearly independent set is linearly independent: that is, If SCR (where n E N is nonzero) is linearly independent and we have another set T that is a subset of S, then T is linearly independent.
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