Consider a plane in R³ given by [2 +t |1 +s 1 t, s E R 3 2 1. Does the point x = [1 1 1]' lie on the plane? 2. Is the plane a subspace of R3? PROBLEM 5. Solution [1 1 1]' in the equation and simplifying The first problem is solved by inserting x = the expression 1 2 +t |1 +s-1 3 t1+. 3 This equation is then solved using the standard procedure of row reducing the augmented matrix 2 -1|0 1 -1|1 1 0|0 0 10 0 0|1 3 2 2 From the bottom row we see that the equations are inconsistent and the point x does not lie on the plane. For the plane to be a subspace of R³ it has to be closed under addition, closed under multiplication and contain the zero vector. Due to the offset [1 0 -1]' the plane will not pass through the origin unless this vector happens to be a linear combination of the two vectors [2 1 3]' and [-1 -1 2]*. This is easily seen not to be the case and the plane is therefore not a subspace of R³."
Consider a plane in R³ given by [2 +t |1 +s 1 t, s E R 3 2 1. Does the point x = [1 1 1]' lie on the plane? 2. Is the plane a subspace of R3? PROBLEM 5. Solution [1 1 1]' in the equation and simplifying The first problem is solved by inserting x = the expression 1 2 +t |1 +s-1 3 t1+. 3 This equation is then solved using the standard procedure of row reducing the augmented matrix 2 -1|0 1 -1|1 1 0|0 0 10 0 0|1 3 2 2 From the bottom row we see that the equations are inconsistent and the point x does not lie on the plane. For the plane to be a subspace of R³ it has to be closed under addition, closed under multiplication and contain the zero vector. Due to the offset [1 0 -1]' the plane will not pass through the origin unless this vector happens to be a linear combination of the two vectors [2 1 3]' and [-1 -1 2]*. This is easily seen not to be the case and the plane is therefore not a subspace of R³."
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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Question
Hello bartle
I dont understand at question 1 how it goes from the matrix [ 1 1 1 ] to
[0 1 2]
at question 2 i dont quite understand the explanation my teacher gave, could you explain it in some easier words?
Expert Solution
Part 1.)
If we subtract the [ 1 0 -1 ] from [ 1 1 1 ] by taking it to the LHS we get
[ 1 1 1 ] - [ 1 0 -1 ] = [ 0 1 2 ].
The proof of vector x not lying on the plane is from the inconsistency of the system when we try to solve for t and s.
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