Pls help me answer 2.2.3 and 2.2.4 (2.2.4 needs to be converted) ill give brainstorm

Show that for a square symmetric matrix M, any two eigen-vectors v1, v2 with distinct eigen-values λ1, λ2, are orthogonal, i.e.

zaharov [31]

Question

Show that for a square symmetric matrix M, any two eigen-vectors v1, v2 with distinct eigen-values λ1, λ2, are orthogonal, i.e. inner product of v1 and v2 is zero. This shows that a symmetric matrix has orthonormal eigen-vectors:_Question

Show that for a square symmetric matrix M, any two eigen-vectors v1, v2 with distinct eigen-values λ1, λ2, are orthogonal, i.e. inner product of v1 and v2 is zero. This shows that a symmetric matrix has orthonormal eigen-vectors:________Question

Show that for a square symmetric matrix M, any two eigen-vectors v1, v2 with distinct eigen-values λ1, λ2, are orthogonal, i.e. inner product of v1 and v2 is zero. This shows that a symmetric matrix has orthonormal eigen-vectors:______________QuQuestion

Show that for a square Question Question

Show that for a square symmetric matrix M, Question

Show that for a square symmetric matrix M, any two eigen-vectors v1, v2 with distinct eigen-values λ1, λ2, are orthogonal, i.e. inner product of v1 and v2 is zero. This shows that a symmetric matrix has orthonormal eigen-vectors:___________any two eigen-vectors v1, v2 with distinct eigen-values λ1, λ2, are orthogonal, i.e. inner product of v1 and v2 is zero. This shows that a symmetric matrix has orthonormal eigen-vectors:___________Question

Show that for a square symmetric matrix M, any two eigen-vectors v1, v2 with distinct eigen-values λ1, λ2, are orthogonal, i.e. inner product of v1 and v2 is zero. This shows that a symmetric matrix has orthonormal eigen-vectors:___________

Show that for a square symmetric matrix M, any two eigen-vectors v1, v2 with distinct eigen-values λ1, λ2, are orthogonal, i.e. inner product of v1 and v2 is zero. This shows that a symmetric matrix has orthonormal eigen-vectors:___________tric mQuestion

Show that for a square symmetric matrix M, any two eigen-vectors v1, v2 with distinct eigen-values λ1, λ2, are orthogonal, i.e. inner product of v1 and v2 is zero. This shows that a symmetric matrix has orthonormal eigen-vectors:___________atrix M, any two eigen-vectors v1, v2 with distinct eigen-values λ1, λ2, are orthogonal, i.e. inner product of v1 and v2 is zero. This shows that a symmetric matrix has orthonormal eigen-vectors:___________estion

Show that for a square symmetric matrix M, any two eigen-vectors v1, v2 with distinct eigen-values λ1, λ2, are orthogonal, i.e. inner product of v1 and v2 is zero. This shows that a symmetric matrix has orthonormal eigen-vectors:______________Question

Show that for a square symmetric matrix M, any two eigen-vectors v1, v2 with distinct eigen-values λ1, λ2, are orthogonal, i.e. inner product of v1 and v2 is zero. This shows that a symmetric matrix has orthonormal eigen-vectors:__________________

3 0

3 years ago

Which inequality represents this statement?

DanielleElmas [232]

Answer:

−6n≥−12

Step-by-step explanation:

6 0

3 years ago

PLEASE PLEASE PLEASE HELP ILL GIVE YOU BRAINLIST. PLEASE.

elena-s [515]

Answer:

X=36

Step-by-step explanation:

90-54=36

Right angle 90 subtract 54

The missing angle x is 36

6 0

3 years ago

How do I solve this question? Rayne sold 3 desks at a local trade show. he payed $4.00 to rent the booth. he gave half of his re

ra1l [238]

Answer:

$125

Step-by-step explanation:

I suspect there's an error in the problem statement. Revenue is the money made from selling the desks. Profit is the revenue from the desks minus the cost of the booth rental.

If Rayne gives half of his profit to the carpenter, and x is the price per desk, then:

185.50 = ½ (3x − 4)

371 = 3x − 4

375 = 3x

x = 125

5 0

4 years ago

Please solve this question!

malfutka [58]

Answer: see answers below

Step-by-step explanation:

(i) The first leaf of the tree is: black = 5/9 and white = 4/9

That means that there are 5 black marbles out of 9 total marbles and 4 white marbles out of 9 total marbles.

Total marbles = 9

Black marbles = 5

White marbles = 4

*******************************************************************************************

(ii)

P(B₂/B₁)

The probability that the 2nd marble is black given that the 1st marble was black.

P(W₂/B₁)

The probability that the 2nd marble is white given that the 1st marble was black.

P(B₂/W₁)

The probability that the 2nd marble is black given that the 1st marble was white.

P(W₂/W₁)

The probability that the 2nd marble is white given that the 1st marble was white.

***********************************************************************************************

(iii) Outcomes (iv) Probability

(B, B) (5/9) x (1/2) = 5/18

(B, W) (5/9) x (1/2) = 5/18

(W, B) (4/9) x (5/8) = 5/18

(W, W) (4/9) x (3/8) = 3/18

Check: Total = 18/18 = 1 $\checkmark$

**********************************************************************************************

(iv) Dependent

Once the first ball is drawn, there is one less ball for the second draw. Therefore, the second draw is dependent on the first draw.

5 0

3 years ago

Pls help me answer 2.2.3 and 2.2.4 (2.2.4 needs to be converted)ill give brainstorm​

Pls help me answer 2.2.3 and 2.2.4 (2.2.4 needs to be converted)ill give brainstorm