Polynomial Mapping: Linear Algebra Basics for Beginners

In summary: A. Therefore, the matrix representation for T in terms of the basis B is [x, 2*x^2,..., m*x^m].(iii) The eigenvalues of T are the roots of the characteristic polynomial of T. Since T is a linear operator, this polynomial is given by det(T - λ*I) = 0, where I is the identity matrix. Plugging in the matrix representation for T in terms of the basis B, we get det([x, 2*x^2,..., m*x^m] - λ*I) = 0. Expanding this out, we get a polynomial of degree M, and the roots of this polynomial are the eigenvalues
  • #1
zairizain
5
0
Hi

I'm a new student and don't have any basics for linear algebra. thanks


Homework Statement



Q1. Let X be the vector space of polynomials of order less than or equal to M.

a) show that the set B = {1,x,...x^M}

b) consider the mapping T from X to X as defined as :

f(x)=T g(x) = d/dx g(x)

(i) Show that T is linear
(ii) Derive matrix representation for T in terms of the basis B
(iii) What are the eigenvalues of T
(iv) Compute one eigenvector associated with one of the eigenvalues

Thanks again

Homework Equations





The Attempt at a Solution

 
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  • #2
a) The set B = {1,x,...x^M} is a basis for the vector space X. This can be shown by noting that the set B is linearly independent and spans the vector space X. For linear independence, we must show that if a1*1 + a2*x +...+am*x^m = 0, then a1 = a2 = ... = am = 0. By expanding this equation, it is clear that each coefficient must be zero, which implies linear independence. For spanning, we must show that every polynomial of order less than or equal to M can be expressed as a linear combination of the elements of B. This is true since any polynomial can be written as a sum of powers of x up to x^M, and each power of x is present in B. Therefore, B is a basis for X.b) (i) To show that T is linear, we must show that T(a1*f1 + a2*f2) = a1*T(f1) + a2*T(f2). We can do this by writing out the definitions of T and f1 and f2 and then expanding the equation. Since the derivative of a sum is the sum of the derivatives, we get the desired result. Therefore, T is linear.(ii) To derive the matrix representation for T, we must first write out T in terms of the basis B. Since T is the derivative operator, we can write it as T = d/dx. Then, for any polynomial g(x) = a0 + a1*x +...+am*x^m, we have Tg(x) = a1 + 2*a2*x +...+ m*am*x^(m-1). Now, we can write this in terms of the basis B. We get Tg(x) = a1*x + 2*a2*x^2 +...+ m*am*x^m. Finally, we can write this as a matrix equation. Letting A = [a1, a2,...am], we get Tg(x) = [x, 2*x^
 

Related to Polynomial Mapping: Linear Algebra Basics for Beginners

1. What is a polynomial mapping?

A polynomial mapping is a mathematical function that maps one set of numbers (known as the domain) to another set of numbers (known as the range) using a polynomial equation. It is a type of polynomial function that can be represented by a single variable and contains only non-negative integer exponents.

2. How is a polynomial mapping different from a regular polynomial function?

A polynomial mapping differs from a regular polynomial function in that it maps a set of numbers to another set of numbers, while a regular polynomial function simply evaluates a polynomial equation at a given input value. Additionally, a polynomial mapping can have multiple inputs and outputs, while a regular polynomial function only has one input and one output.

3. What are some examples of polynomial mappings?

Some examples of polynomial mappings include:

  • Mapping the set of real numbers to itself using the equation f(x) = x^2.
  • Mapping the set of complex numbers to itself using the equation f(z) = z^3 + 2z^2 + z.
  • Mapping a set of vectors to another set of vectors using a matrix equation like f(x) = Ax, where A is a matrix and x is a vector.

4. What is the degree of a polynomial mapping?

The degree of a polynomial mapping is the highest degree of its polynomial equation. For example, a polynomial mapping with the equation f(x) = 2x^4 + 3x^2 + 5 has a degree of 4, as the term with the highest degree of x is x^4.

5. How are polynomial mappings used in linear algebra?

Polynomial mappings are used in linear algebra to transform vectors and matrices, which are essential concepts in this field of mathematics. They can be used to represent transformations in vector spaces and can help solve systems of equations involving multiple variables. Additionally, polynomial mappings can be used to find solutions to problems involving eigenvalues and eigenvectors.

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