12-240/Classnotes for Tuesday October 2: Difference between revisions

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The "vitamins" slide we viewed today is [http://drorbn.net/AcademicPensieve/Classes/12-240/index.html?im=FoodsHandout.jpg here].
The "vitamins" slide we viewed today is [http://drorbn.net/AcademicPensieve/Classes/12-240/index.html?im=FoodsHandout.jpg here].

Today, the professor introduces more about subspace, linear combination, and related subjects.



== Subspace ==

Remind about the theorem of subspace: a non-empty subset W ⊂ V is a subspace iff is is closed under the operations of V and contains 0 of V

Proof:

First direction "=>":

if a non-empty subset W ⊂ V is a subspace , then W is a vector space over the operations of V .

=> + W is closed under the operations of V.

+ W has a unique identity of addition: <math>\forall\!\,</math> a <math>\in\!\,</math> W: 0 + a = a

Moreover, a a <math>\in\!\,</math> V. Hence 0 is also identity of addtition of V


Second direction "<=":

if a non-empty subset W ⊂ V is closed under the operations of V and contains 0 of V

we need to prove that W is a vector space over operations of V, hence, and subspace of V.

Namely, we need to show that W satisfies all axioms of a vector space, but now we just consider some axioms and leave the rest to readers.

VS1: Consider <math>\forall\!\,</math> x,y <math>\in\!\,</math> W => a,b <math>\in\!\,</math> V

While V is a vector space

thus x + y = y + x ( and the sum <math>\in\!\,</math> W since W is closed under addition)

VS2: (x + y) + z = x + (y + z) is proven similarly

VS3: As given, 0 of V <math>\in\!\,</math> W, pick any a in W ( possible since W is not empty)

So, a <math>\in\!\,</math> V hence a + 0 = a

Thus 0 is also additive identity element of W

== Class Notes ==

<gallery>
Image:12-240-Oct-2-Page-1.jpg|Page 1
Image:12-240-Oct-2-Page-2.jpg|Page 2
Image:12-240-Oct-2-Page-3.jpg|Page 3
Image:12-240-Oct-2-Page-4.jpg|Page 4
Image:12-240-Oct-2-Page-5.jpg|Page 5
</gallery>

Latest revision as of 04:43, 7 December 2012

The "vitamins" slide we viewed today is here.

Today, the professor introduces more about subspace, linear combination, and related subjects.


Subspace

Remind about the theorem of subspace: a non-empty subset W ⊂ V is a subspace iff is is closed under the operations of V and contains 0 of V

Proof:

First direction "=>":

if a non-empty subset W ⊂ V is a subspace , then W is a vector space over the operations of V .

=> + W is closed under the operations of V.

+ W has a unique identity of addition: a W: 0 + a = a

Moreover, a a V. Hence 0 is also identity of addtition of V


Second direction "<=":

if a non-empty subset W ⊂ V is closed under the operations of V and contains 0 of V

we need to prove that W is a vector space over operations of V, hence, and subspace of V.

Namely, we need to show that W satisfies all axioms of a vector space, but now we just consider some axioms and leave the rest to readers.

VS1: Consider x,y W => a,b V

While V is a vector space

thus x + y = y + x ( and the sum W since W is closed under addition)

VS2: (x + y) + z = x + (y + z) is proven similarly

VS3: As given, 0 of V W, pick any a in W ( possible since W is not empty)

So, a V hence a + 0 = a

Thus 0 is also additive identity element of W

Class Notes