Calculating the Kernel, dimension of linear equations, real numbers and galois field Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 23, 2019 at 00:00UTC (8:00pm US/Eastern)Kernel and image of linear operatorLinear map $f:Vrightarrow V$ injective $Longleftrightarrow$ surjectiveOn-to Linear Transformation; dimension of kernel and imageOn proving that a linear function is an isomorphism when the Kernel of the function is the set with the single element zero.Dimension of Injective and Surjective linear transformationsShow a linear transformation is injective using the dimension theorem.Try to learn more about linear operator,subspace and dimensionDimension of kernel of a linear map $phi: M_n(mathbb R) to mathbb R^n$Image and Kernel of a linear transformation, DimensionLinear Algebra: Dimension of kernel
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Calculating the Kernel, dimension of linear equations, real numbers and galois field
Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 00:00UTC (8:00pm US/Eastern)Kernel and image of linear operatorLinear map $f:Vrightarrow V$ injective $Longleftrightarrow$ surjectiveOn-to Linear Transformation; dimension of kernel and imageOn proving that a linear function is an isomorphism when the Kernel of the function is the set with the single element zero.Dimension of Injective and Surjective linear transformationsShow a linear transformation is injective using the dimension theorem.Try to learn more about linear operator,subspace and dimensionDimension of kernel of a linear map $phi: M_n(mathbb R) to mathbb R^n$Image and Kernel of a linear transformation, DimensionLinear Algebra: Dimension of kernel
$begingroup$
Given these problems below, how would one calculate the result?
By intuition, I have managed to solve two of them but cannot crack the last one.
Btw, I am not sure that the approach of my intuition is the right one.
I am interested in learning about how to solve these (formulas and approach).
Problems Below:
1) Let $f: ℝ^7 rightarrow ℝ^4$ be a surjective (onto) linear function. What is the dimension of $Ker space f$? (answer = 3)
2) Let $f: GF(2)^8 rightarrow GF(2)^9$ be a linear funktion with $dim space Im space f=5$. How many vectors are in $Ker f$? (answer = 8)
3) Let $f: ℝ^7 rightarrow ℝ^14$ be a injective (one-to-one) linear function. Determine $dim space Im space f$? (answer = 7)
Could determine the answers for problem 1 and 3 by intuition (but not by formula). Here is the intuition below:
1 - Intuition: The function is surjective so the dimension must be $7 - 4 = 3$
3 - Intuition: The function is injective so the dimension must be $14 - 7 = 7$
(First question on site, so open for constructive feedback regarding the question.)
linear-algebra matrices matrix-equations matrix-rank
$endgroup$
add a comment |
$begingroup$
Given these problems below, how would one calculate the result?
By intuition, I have managed to solve two of them but cannot crack the last one.
Btw, I am not sure that the approach of my intuition is the right one.
I am interested in learning about how to solve these (formulas and approach).
Problems Below:
1) Let $f: ℝ^7 rightarrow ℝ^4$ be a surjective (onto) linear function. What is the dimension of $Ker space f$? (answer = 3)
2) Let $f: GF(2)^8 rightarrow GF(2)^9$ be a linear funktion with $dim space Im space f=5$. How many vectors are in $Ker f$? (answer = 8)
3) Let $f: ℝ^7 rightarrow ℝ^14$ be a injective (one-to-one) linear function. Determine $dim space Im space f$? (answer = 7)
Could determine the answers for problem 1 and 3 by intuition (but not by formula). Here is the intuition below:
1 - Intuition: The function is surjective so the dimension must be $7 - 4 = 3$
3 - Intuition: The function is injective so the dimension must be $14 - 7 = 7$
(First question on site, so open for constructive feedback regarding the question.)
linear-algebra matrices matrix-equations matrix-rank
$endgroup$
add a comment |
$begingroup$
Given these problems below, how would one calculate the result?
By intuition, I have managed to solve two of them but cannot crack the last one.
Btw, I am not sure that the approach of my intuition is the right one.
I am interested in learning about how to solve these (formulas and approach).
Problems Below:
1) Let $f: ℝ^7 rightarrow ℝ^4$ be a surjective (onto) linear function. What is the dimension of $Ker space f$? (answer = 3)
2) Let $f: GF(2)^8 rightarrow GF(2)^9$ be a linear funktion with $dim space Im space f=5$. How many vectors are in $Ker f$? (answer = 8)
3) Let $f: ℝ^7 rightarrow ℝ^14$ be a injective (one-to-one) linear function. Determine $dim space Im space f$? (answer = 7)
Could determine the answers for problem 1 and 3 by intuition (but not by formula). Here is the intuition below:
1 - Intuition: The function is surjective so the dimension must be $7 - 4 = 3$
3 - Intuition: The function is injective so the dimension must be $14 - 7 = 7$
(First question on site, so open for constructive feedback regarding the question.)
linear-algebra matrices matrix-equations matrix-rank
$endgroup$
Given these problems below, how would one calculate the result?
By intuition, I have managed to solve two of them but cannot crack the last one.
Btw, I am not sure that the approach of my intuition is the right one.
I am interested in learning about how to solve these (formulas and approach).
Problems Below:
1) Let $f: ℝ^7 rightarrow ℝ^4$ be a surjective (onto) linear function. What is the dimension of $Ker space f$? (answer = 3)
2) Let $f: GF(2)^8 rightarrow GF(2)^9$ be a linear funktion with $dim space Im space f=5$. How many vectors are in $Ker f$? (answer = 8)
3) Let $f: ℝ^7 rightarrow ℝ^14$ be a injective (one-to-one) linear function. Determine $dim space Im space f$? (answer = 7)
Could determine the answers for problem 1 and 3 by intuition (but not by formula). Here is the intuition below:
1 - Intuition: The function is surjective so the dimension must be $7 - 4 = 3$
3 - Intuition: The function is injective so the dimension must be $14 - 7 = 7$
(First question on site, so open for constructive feedback regarding the question.)
linear-algebra matrices matrix-equations matrix-rank
linear-algebra matrices matrix-equations matrix-rank
asked Apr 1 at 19:07
ms99ms99
204
204
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$begingroup$
All you need here is the dimension theorem: if $f:Uto V$ is any linear map, then
$$dimker f+dimmathrmim f,=, dim U$$
Choose bases $u_1,dots, u_k$ for $ker f$ and $v_1,dots, v_r$ for $mathrmim f$ and arbitrary preimages $w_j$ of $v_j$. Then show $u_1,dots, u_k, w_1,dots, w_r$ is a basis of $U$.
This resolves your uncertainty for a) and c), and gives $dimker f=3$ for b).
So that $ker fcong GF(2)^3$ (by coordinating the vectors) which has $2^3$ elements.
$endgroup$
add a comment |
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1 Answer
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1 Answer
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active
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$begingroup$
All you need here is the dimension theorem: if $f:Uto V$ is any linear map, then
$$dimker f+dimmathrmim f,=, dim U$$
Choose bases $u_1,dots, u_k$ for $ker f$ and $v_1,dots, v_r$ for $mathrmim f$ and arbitrary preimages $w_j$ of $v_j$. Then show $u_1,dots, u_k, w_1,dots, w_r$ is a basis of $U$.
This resolves your uncertainty for a) and c), and gives $dimker f=3$ for b).
So that $ker fcong GF(2)^3$ (by coordinating the vectors) which has $2^3$ elements.
$endgroup$
add a comment |
$begingroup$
All you need here is the dimension theorem: if $f:Uto V$ is any linear map, then
$$dimker f+dimmathrmim f,=, dim U$$
Choose bases $u_1,dots, u_k$ for $ker f$ and $v_1,dots, v_r$ for $mathrmim f$ and arbitrary preimages $w_j$ of $v_j$. Then show $u_1,dots, u_k, w_1,dots, w_r$ is a basis of $U$.
This resolves your uncertainty for a) and c), and gives $dimker f=3$ for b).
So that $ker fcong GF(2)^3$ (by coordinating the vectors) which has $2^3$ elements.
$endgroup$
add a comment |
$begingroup$
All you need here is the dimension theorem: if $f:Uto V$ is any linear map, then
$$dimker f+dimmathrmim f,=, dim U$$
Choose bases $u_1,dots, u_k$ for $ker f$ and $v_1,dots, v_r$ for $mathrmim f$ and arbitrary preimages $w_j$ of $v_j$. Then show $u_1,dots, u_k, w_1,dots, w_r$ is a basis of $U$.
This resolves your uncertainty for a) and c), and gives $dimker f=3$ for b).
So that $ker fcong GF(2)^3$ (by coordinating the vectors) which has $2^3$ elements.
$endgroup$
All you need here is the dimension theorem: if $f:Uto V$ is any linear map, then
$$dimker f+dimmathrmim f,=, dim U$$
Choose bases $u_1,dots, u_k$ for $ker f$ and $v_1,dots, v_r$ for $mathrmim f$ and arbitrary preimages $w_j$ of $v_j$. Then show $u_1,dots, u_k, w_1,dots, w_r$ is a basis of $U$.
This resolves your uncertainty for a) and c), and gives $dimker f=3$ for b).
So that $ker fcong GF(2)^3$ (by coordinating the vectors) which has $2^3$ elements.
answered Apr 1 at 22:49
BerciBerci
62k23776
62k23776
add a comment |
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