Math, asked by garimaupadhyay8823, 1 year ago

Define subspace of a vector space.

Answers

Answered by jiya9614
5

Answer:

Two vectors are orthogonal if the angle between them is 90 degrees. If two vectors are orthogonal, they form a right triangle whose hypotenuse is the sum of the vectors. Thus, we can use the Pythagorean theorem to prove that the dot product xTy = yT x is zero exactly when x and y are orthogonal.Line spacing determines the amount of vertical space between lines of text in a paragraph. ... Paragraph spacing determines the amount of space above or below a paragraph. When you press Enter to start a new paragraph, the spacing is carried over to the next paragraph, but you can change the settings for each paragraph.

Answered by AlluringNightingale
1

Some important information :

Vector space :

(V , +) be an algebraic structure and (F , + , •) be a field , then V is called a vector space over the field F if the following conditions hold :

  1. (V , +) is an abelian group .
  2. ku ∈ V ∀ u ∈ V and k ∈ F
  3. k(u + v) = ku + kv ∀ u , v ∈ V and k ∈ F .
  4. (a + b)u = au + bu ∀ u ∈ V and a , b ∈ F .
  5. (ab)u = a(bu) ∀ u ∈ V and a , b ∈ F .
  6. 1u = u ∀ u ∈ V where 1 ∈ F is the unity .

♦ Elements of V are called vectors and the lements of F are called scalars .

♦ If V is a vector space over the field F then it is denoted by V(F) .

Answer :

Subspace :

A non empty subset W of the vector space V(F) is said to be a subspace of V if it itself forms a vector space over the same field F .

♦ A non empty subset W of the vector space V(F) is said to be a subspace of V iff

x + y ∈ W ∀ x , y ∈ W

ax ∈ W ∀ x ∈ W and a ∈ F

♦ A non empty subset W of the vector space V(F) is said to be a subspace of V iff

x + y ∈ W ∀ x , y ∈ W

ax ∈ W ∀ x ∈ W and a ∈ F

♦ A non empty subset W of the vector space V(F) is said to be a subspace of V iff ax + by ∈ W ∀ x , y ∈ W and a , b ∈ F .

♦ Every vector space V has atleast two subspaces :

Zero vector space {0} is a subspace of V .

V is a subspace of V .

♦ Subspaces of R² are :

{0} where 0 = (0 , 0)

Lines passing through the origin (0 , 0)

♦ Subspaces of R³ are :

{0} where 0 = (0,0,0)

Lines passing through the origin (0 , 0 , 0)

Planes passing through the origin (0 , 0 , 0)

♦ Intersection of two (or more) subspaces of a vector space is again a subspace of that vector space .

♦ Union of two subspaces of a vector space is again a subspace of that vector space iff one of them is contained in other .

♦ The linear sum of two subspaces of a vector space is again a subspace of that vector space .

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