Let M 2×2 be the vector space of all 2 × 2 matrices, and define T : M 2×2 → M 2×2 by T ( A ) = A + A T , where A = [ a b c d ] . a. Show that T is a linear transformation. b. Let B be any element of M 2×2 such that B T = B . Find an A in M 2×2 such that T ( A ) = B . c. Show that the range of T is the set of B in M 2×2 with the property that B T = B . d. Describe the kernel of T .
Let M 2×2 be the vector space of all 2 × 2 matrices, and define T : M 2×2 → M 2×2 by T ( A ) = A + A T , where A = [ a b c d ] . a. Show that T is a linear transformation. b. Let B be any element of M 2×2 such that B T = B . Find an A in M 2×2 such that T ( A ) = B . c. Show that the range of T is the set of B in M 2×2 with the property that B T = B . d. Describe the kernel of T .
Solution Summary: The author explains that a linear transformation of the vector space V into W is based on the expression T(A+B).
Let M2×2 be the vector space of all 2 × 2 matrices, and define T : M2×2 → M2×2 by T(A) = A + AT, where
A
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a
b
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d
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a. Show that T is a linear transformation.
b. Let B be any element of M2×2 such that BT = B. Find an A in M2×2 such that T(A) = B.
c. Show that the range of T is the set of B in M2×2 with the property that BT = B.
d. Describe the kernel of T.
Quantities that have magnitude and direction but not position. Some examples of vectors are velocity, displacement, acceleration, and force. They are sometimes called Euclidean or spatial vectors.
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Linear Equation | Solving Linear Equations | What is Linear Equation in one variable ?; Author: Najam Academy;https://www.youtube.com/watch?v=tHm3X_Ta_iE;License: Standard YouTube License, CC-BY