x = 27
f(x) = $\sqrt[3] { 27 }$ = 3
We need to find the value of $\sqrt[3] { 27.2 }$
We know that
f(x 0 + Δx) = f(x 0 ) + f'(x 0 ) Δx
∴ Approximate value of $\sqrt[3] { 27.2 }$ = 3.0074
We know that f(x 0 + Δx) = f(x 0 ) + f'(x 0 ) Δx ∴ Approximate value of $\sqrt[3] { 27.2 }$ = 3.0074
Use f(x)=x^{1/n}. (i) For 123^{1/3} take a=125 (5^3). f'(x)=1/(3x^{2/3}), f'(125)=1/75. dx=123-125=-2. f(123)≈5+(1/75)(-2)=5-2/75=4.973333... (ii) For 15^{1/4} take a=16. f(16)=2, f'(x)=1/(4x^{3/4}), f'(16)=1/32. dx=-1 ⇒ f(15)≈2-1/32=1.96875. (iii) For 26^{1/3} take a=27. f(27)=3, f'(27)=1/27. dx=-1 ⇒ f(26)≈3-1/27=2.96296296...
(i) 4.973333... (ii) 1.96875 (iii) 2.962963...
Let f(x)=x^{2/3}. Then f(27)=27^{2/3}=9. f'(x)=(2/3)x^{-1/3} so f'(27)=(2/3)(1/3)=2/9. Linear approximation at a=27: L(x)=f(27)+f'(27)(x-27)=9+(2/9)(x-27). In particular f(27)=9 exactly; for x=26, f(26)≈9+(2/9)(-1)=8.777...
Linearization L(x)=9 + (2/9)(x-27). Hence 27^{2/3}=9 (exact). For nearby x (e.g. 26) L(26)=9-2/9=8.777... .
(i) f(x) = x³ – 5x + 12, x 0 = 2
(ii) g(x) = $\sqrt { x^2+9 }$, x 0 = -4
(iii) h(x) = $\frac { x }{ x+1 }$, x 0 = 1v
(i) We know that the linear approximation
L(x) = f(x 0 ) + f’(x 0 )(x – x 0 )
f(x) = x³ – 5x + 12
f'(x) = 3x² – 5
f'(x 0 ) = f'(2) = 12 – 5 = 7
f(x 0 ) = f(2) = 8 – 10 + 12 = 10
L(x) = 10 + 7 (x – 2)
= 10 + 7x – 14
= 7x – 4
(ii) g(x) = $\sqrt { x^2+9 }$, x 0 = -4
g(x 0 ) = g(14) = $\sqrt {16+9 }$ = 5
(iii) h(x) = $\frac { x }{ x+1 }$, x 0 = 1
(ii) g(x) = $\sqrt { x^2+9 }$, x 0 = -4 g(x 0 ) = g(14) = $\sqrt {16+9 }$ = 5 (iii) h(x) = $\frac { x }{ x+1 }$, x 0 = 1
Absolute error = measured - actual = 12.65 - 12.5 = 0.15 cm. Relative error = 0.15/12.5 = 0.012. Percentage error = 0.012×100% = 1.2%.
(i) 0.15 cm (ii) 0.012 (iii) 1.2%
Volume V=(4/3)πr^3 so dV/dr=4πr^2. At r=10 and dr=-0.2: ΔV≈4π(10^2)(-0.2)=-80π ≈ -251.33 cm^3. Surface area S=4πr^2 so dS/dr=8πr. At r=10: ΔS≈8π(10)(-0.2)=-16π ≈ -50.27 cm^2.
(i) ΔV ≈ -80π cm^3 ≈ -251.33 cm^3. (ii) ΔS ≈ -16π cm^2 ≈ -50.27 cm^2.
T ∝ l^{1/2}. Relative change: ΔT/T ≈ (1/2)(Δl/l). For Δl/l = 2% ⇒ ΔT/T ≈ 1% ⇒ percentage error ≈ 1%.
Approximately 1%.
Let y=x^{1/n}. Then dy = (1/n)x^{1/n-1} dx, so dy/y = (1/n)(dx/x). Converting to percentages: %Δy ≈ (1/n)%Δx.
If y=x^{1/n}, then Δy/y ≈ (1/n)(Δx/x), i.e. percentage error scaled by 1/n.
(i) y = $\frac { (1-2x)^3 }{ 3-4x }$
(ii) y = (3 + sin2x) 2/3
(iii) y = e x 2 – 5x +7 cos(x² – 1)v
(ii) y = (3 + sin2x) 2/3
(ii) y = (3 + sin2x) 2/3
(i) x = 2 and dx = 0.1
(ii) x = 3 and dx = 0.02v
y = f(x) = x 2 + 3x
dy = (2x + 3) dx
(i) dy {when x = 2 and ate = 0.1} = [2(2) + 3] (0.1)
= 7(0.1) = 0.7
(ii) dy {when x = 3 and dx = 0.02} = [2(3) + 3] (0.0.2)
= 9(0.02) = 0.18
= 7(0.1) = 0.7 (ii) dy {when x = 3 and dx = 0.02} = [2(3) + 3] (0.0.2) = 9(0.02) = 0.18
(i) x = 2 and dx = 0.1
(ii) x = 3 and dx = 0.02v
y = f(x) = x 2 + 3x
dy = (2x + 3) dx
(i) dy {when x = 2 and ate = 0.1} = [2(2) + 3] (0.1)
= 7(0.1) = 0.7
(ii) dy {when x = 3 and dx = 0.02} = [2(3) + 3] (0.0.2)
= 9(0.02) = 0.18
= 7(0.1) = 0.7 (ii) dy {when x = 3 and dx = 0.02} = [2(3) + 3] (0.0.2) = 9(0.02) = 0.18
(i) f(x) = x³ – 2x², x = 2, Δx = dx = 0.5
(ii) f(x) = x² + 2x + 3, x = -0.5, Δx = dx = 0.1v
(i) y = f(x) = x 3 – 2x 2
dy = (3x 2 – 4x) dx
dy (when x = 2 and dx = 0.5) = [3(2 2 ) – 4(2)] (0.5)
= (12 – 8)(0.5) = 4(0.5) = 2
(i.e.,) df = 2
Now ∆f = f(x + ∆x) – f(x)
Here x = 2 and ∆x = 0.5
f(x) = x 3 – 2x 2
So f(x + ∆x) = f(2 + 0.5) = f(2.5) = (2.5) 3 – 2 (2.5) 2 = (2.5) 2 [2.5 – 2] = 6.25 (0.5) = 3.125
f(x) = f(2) = 2 3 – 2(2 2 ) = 8 – 8 = 0
So ∆f = 3.125 – 0 = 3.125
(ii) y = f(x) = x 2 + 2x + 3
dy = (2x + 2) dx
dy (when x = – 0.5 and dx = 0.1)
= [2(-0.5) + 2] (0.1)
= (-1 + 2) (0.1) = (1) (0.1) = 0.1
(i.e.,) df = 0.1
Now ∆f = f(x + ∆x) – f(x)
Here x = -0.5 and ∆x = 0.1
x 2 + 2x + 3
f(x + ∆x) = f(-0.5 + 0.1) = f(-0.4)
= (-0.4) 2 + 2(-0.4) + 3
= 0.16 – 0.8 + 3 = 3.16 – 0.8 = 2.36
f(x) = f(-0.5) = (-0.5) 2 + 2(-0.5) + 3
= 0.25 – 1 + 3 = 3.25 – 1 = 2.25
So ∆ f = f(x + ∆x) – f(x) = 2.36 – 2.25 = 0.11
f(x) = f(-0.5) = (-0.5) 2 + 2(-0.5) + 3 = 0.25 – 1 + 3 = 3.25 – 1 = 2.25 So ∆ f = f(x + ∆x) – f(x) = 2.36 – 2.25 = 0.11
1003 = 1000(1+0.003). log_{10}1003 = 3 + log_{10}(1+0.003). For small u, log_{10}(1+u) ≈ u log_{10} e = 0.003×0.4343 = 0.0013029. Hence log_{10}1003 ≈ 3.0013029.
log_{10}1003 ≈ 3.0013029
Circumference C=πd. ΔC=6 ⇒ Δd=ΔC/π = 6/π ≈ 1.9099 cm. Area A∝d^2 so relative change ≈ 2Δd/d = 2(6/π)/30 = 12/(30π) ≈ 0.12732 ⇒ 12.732% ≈ 12.73%.
(i) Δd ≈ 6/π ≈ 1.9099 cm. (ii) Percentage increase ≈ 12.73%.
Shell volume ΔV = V(R)-V(r) ≈ dV/dr · dr = 4π r^2 dr with r≈5 mm, dr=0.3 mm. So ΔV≈4π(25)(0.3)=30π ≈94.2478 mm^3.
Approximately 30π mm^3 ≈ 94.25 mm^3.
A=πr^2 so dA ≈ 2πr dr. With r=2 mm and dr=0.1 mm: dA≈2π(2)(0.1)=0.4π ≈1.2566 mm^2. Relative change ≈2 dr/r =2(0.1)/2=0.1 ⇒ 10%.
Area increases by ≈0.4π mm^2 ≈1.2566 mm^2; percentage increase ≈10%.
V(t) = 30 + 12t² – t³; dt = 4 $\frac { 1 }{ 6 }$ – 4 = $\frac { 1 }{ 6 }$
V’(t) = (24t – 3t²)dt
= (24(4)-3 (4)²) × $\frac { 1 }{ 6 }$
= (96 – 48) × $\frac { 1 }{ 6 }$
= 48 × $\frac { 1 }{ 6 }$
= 8
Voters in thousands
∴ Approximate change of voters = 8 × 1000 = 8000
= 8 Voters in thousands ∴ Approximate change of voters = 8 × 1000 = 8000
(i) 1 to 1.1 hours?
(ii) 4 to 4.1 hours?v
y = 52 √x
dy = 52 × $\frac { 1 }{ 2 }$ × x -1/2 dx
x = 1, dx = 0.1
$\frac { 26 }{ √x }$ × 0.1 = 26 × 0.1
= 2.6
≅ 3 words
(ii) y = 52 √y
dy = 52 × $\frac { 1 }{ 2 }$ × x -1/2 dx
x = 4, dx = 0.1
$\frac { 26 }{ √4 }$ × 0.1 = 13 × 0.1
= 1.3
≅ 1 word
$\frac { 26 }{ √4 }$ × 0.1 = 13 × 0.1 = 1.3 ≅ 1 word
Area of the circular plate A = πr²
= π × 10.5 × 105
= 110.25 π
dA = 2πrdr
= 2π × 10.5 × 0.251
= 5.25 π
Approximate percentage change in the area
= $\frac { dA }{ A }$ × 100
= $\frac { 5.25π }{ 110.25π }$ × 100
= 0.04761 × 100
= 4.76%
= $\frac { 5.25π }{ 110.25π }$ × 100 = 0.04761 × 100 = 4.76%
$\lim _{(x, y) \rightarrow(1,2)}$ g(x, y) = $\lim _{(x, y) \rightarrow(1,2)}$ $\frac { 3x^2-xy }{ x^2+y^2+3 }$
= $\frac { 3(1)-1×2 }{ 1+4+3 }$
= $\frac { 1 }{ 8 }$
$\lim _{(x, y) \rightarrow(1,2)}$ g(x, y) = $\lim _{(x, y) \rightarrow(1,2)}$ $\frac { 3x^2-xy }{ x^2+y^2+3 }$ = $\frac { 3(1)-1×2 }{ 1+4+3 }$ = $\frac { 1 }{ 8 }$
$\lim _{(x, y) \rightarrow(0,0)}$ cos($\frac { x^3+y^2 }{ x+y+2 }$)
= cos ($\frac { 0+0 }{ 0+0+2 }$)
= cos 0
= $\lim _{(x, y) \rightarrow(0,0)}$ cos($\frac { x^3+y^2 }{ x+y+2 }$) = 1
= cos ($\frac { 0+0 }{ 0+0+2 }$) = cos 0 = $\lim _{(x, y) \rightarrow(0,0)}$ cos($\frac { x^3+y^2 }{ x+y+2 }$) = 1
$\lim _{(x, y) \rightarrow(0,0)}$ cos($\frac { x^3+y^2 }{ x+y+2 }$)
= cos ($\frac { 0+0 }{ 0+0+2 }$)
= cos 0
= $\lim _{(x, y) \rightarrow(0,0)}$ cos($\frac { x^3+y^2 }{ x+y+2 }$) = 1
= cos ($\frac { 0+0 }{ 0+0+2 }$) = cos 0 = $\lim _{(x, y) \rightarrow(0,0)}$ cos($\frac { x^3+y^2 }{ x+y+2 }$) = 1
f(x, y) = $\frac { y^2-xy }{ √x-√y }$
f(x, y) = $\frac { y^2-xy }{ √x-√y }$
See the worked solution above.
(i) Show that $\lim _{(x, y) \rightarrow(0,0)}$ g(x, y) = 0 along every line y = mx, m ∈ R
(ii) Show that $\lim _{(x, y) \rightarrow(0,0)}$ g(x, y) = $\frac { k }{ 1+k^2 }$ along every parabola y = kx², k ∈ R\{0}v
(i) Let g(x, y) = $\frac { x^2y }{ x^4+y^2 }$ for (x, y) ≠ (0, 0) and f(0, 0) = 0
Let y = mx
= 0
Hence proved
(ii) for parabola y = kx²
Hence proved
Hence proved (ii) for parabola y = kx² Hence proved
Let (a, b) ∈ R² be an arbitrary point.
We shall investigate the continuity of f at (a,b).
That is, we shall check if all the three conditions for continuity hold for f at (a, b)
To check first condition, note that
f(a, b) = $\frac { a^2-b^2 }{ b^2+1 }$ is defined
Next we want t0 find lf $\lim _{(x, y) \rightarrow(a,b)}$ f(x, y) exist or not
so we calculate $\lim _{(x, y) \rightarrow(a,b)}$ x² – y² = a² – b² and
$\lim _{(x, y) \rightarrow(a,b)}$ y² + 1 = b² + 1
By the properties of limit we see that
$\lim _{(x, y) \rightarrow(a,b)}$ f(x, y) = $\frac { x^2-y^2 }{ y^2+1 }$ = $\frac { a^2-b^2 }{ b^2+1 }$ = f(a, b) = L exists
Now, we note that $\lim _{(x, y) \rightarrow(a,b)}$ f(x, y) = L = f(a, b).
Hence f satisfies all the there conditions for continuity of f at (a, b).
Since (a, b) is an arbitrary point in R², we conclude that f is continuous at every point of R².
Now, we note that $\lim _{(x, y) \rightarrow(a,b)}$ f(x, y) = L = f(a, b). Hence f satisfies all the there conditions for continuity of f at (a, b). Since (a, b) is an arbitrary point in R², we conclude that f is continuous at every point of R².
g(x, y) = $\frac { e^ysinx }{ x }$
To check first condition,note that
$\lim _{(x, y) \rightarrow(0,0)}$ g(x, y) = $\lim _{(x, y) \rightarrow(0,0)}$ $\frac { e^ysinx }{ x }$ = 1 is defined
Next $\lim _{(x, y) \rightarrow(0,0)}$ g(x, y) = $\frac { e^ysinx }{ x }$ = 1 = L Exist
Now we note $\lim _{(x, y) \rightarrow(0,0)}$ g(x, y) = L = g(0, 0)
Hence g satisfies all the three conditions for; continuity of g at (0, 0).
We conclude that g is continuous at (0, 0).
Now we note $\lim _{(x, y) \rightarrow(0,0)}$ g(x, y) = L = g(0, 0) Hence g satisfies all the three conditions for; continuity of g at (0, 0). We conclude that g is continuous at (0, 0).
(i) f(x, y) = 3x² – 2xy + y² + 5x + 2, (2, -5)
(ii) g(x, y) = 3x² + y² + 5x + 2, (2, -5)
(iii) h(x, y, z) = x sin (xy) + z² x, (2, π/4, 1)
(iv) G(x, y) = e x + 3y log (x² + y²), (-1, 1)v
(i) f(x, y) = 3x² – 2xy + y² + 5x + 2, (2, -5)
(ii) g(x, y) = 3x² + y² + 5x + 2, (2, -5)
(iii) h(x, y, z) = x sin (xy) + z² x, (2, π/4, 1)
(iv) G(x, y) = e x + 3y log (x² + y²), (-1, 1)
(ii) g(x, y) = 3x² + y² + 5x + 2, (2, -5) (iii) h(x, y, z) = x sin (xy) + z² x, (2, π/4, 1) (iv) G(x, y) = e x + 3y log (x² + y²), (-1, 1)
(i) f(x, y) = $\frac { 3x }{ y+sinx }$
(ii) f(x, y) = tan -1 (x/y)
(iii) f(x, y) = cos (x² – 3xy)v
(i) f(x, y) = $\frac { 3x }{ y+sinx }$
(ii) f(x, y) = tan -1 (x/y)
(iii) f(x, y) = cos (x² – 3xy)
$\frac{\partial f}{\partial x}$ = -sin (x² – 3xy) × (2x – 3y)
$\frac{\partial^2 f}{\partial y \partial x}$ = – sin (x² – 3xy) x – 3 + (2x – 3y) × [-cos (x² – 3xy)] × – 3x
= 3 sin (x² – 3xy) + 3x (2x – 3y) cos (x² – 3xy)
$\frac{\partial f}{\partial x}$ = – sin (x² – 3xy) × -3x
= 3x sin (x² – 3xy)
$\frac{\partial^2 f}{\partial x \partial y}$ = 3sin (x² – 3xy) + 3x cos (x² – 3xy) (2x – 3y)
∴ $\frac{\partial^2 f}{\partial y \partial x}$ = $\frac{\partial^2 f}{\partial x \partial y}$
= 3x sin (x² – 3xy) $\frac{\partial^2 f}{\partial x \partial y}$ = 3sin (x² – 3xy) + 3x cos (x² – 3xy) (2x – 3y) ∴ $\frac{\partial^2 f}{\partial y \partial x}$ = $\frac{\partial^2 f}{\partial x \partial y}$
See the worked solution above.
See the worked solution above.
$\frac{\partial U}{\partial x}$ + $\frac{\partial U}{\partial y}$ + $\frac{\partial U}{\partial z}$v
See the worked solution above.
(i) g(x, y) = x e y + 3x²y
(ii) g(x, y) = log (5x + 3y)
(iii) g(x, y) = x² + 3xy – 7y + cos(5x)v
(i) g(x, y) = x e y + 3x²y
(ii) g(x, y) = log (5x + 3y)
(iii) g(x, y) = x² + 3xy – 7y + cos(5x)
g x = 2x+ 3y – sin 5x × 5
g x = 2x+ 3y – 5 sin 5x
g xx = 2 – 25 cos 5x
g yx = 3
g y = 3x – 7
g yy = 0
g xy = 3
g y = 3x – 7 g yy = 0 g xy = 3
See the worked solution above.
Now, w (x, y) = xy + sin (xy)
Now, w (x, y) = xy + sin (xy)
$w_x=y+y\cos(xy)$, so $w_{xy}=\dfrac{\partial}{\partial y}\big(y+y\cos(xy)\big)=1+\cos(xy)-xy\sin(xy)$. Also $w_y=x+x\cos(xy)$, so $w_{yx}=\dfrac{\partial}{\partial x}\big(x+x\cos(xy)\big)=1+\cos(xy)-xy\sin(xy)$. The two mixed partials are equal.
$\dfrac{\partial^2 w}{\partial x\,\partial y}=\dfrac{\partial^2 w}{\partial y\,\partial x}=1+\cos(xy)-xy\sin(xy)$.
First v_y = 3y^2 + xz, so v_{yz} = ∂/∂z(3y^2 + xz) = x. Similarly v_z = 3z^2 + xy, so v_{zy} = ∂/∂y(3z^2 + xy) = x. Hence v_{yz}=v_{zy}=x, proving equality.
Both mixed partials equal x.
(i) P(x,y)=R(x,y)-C(x,y)= (80x+90y+0.04xy -0.05x^2 -0.05y^2) - (8x+6y+2000) =72x+84y+0.04xy -0.05x^2 -0.05y^2 -2000. (ii) Differentiate: P_x = 72 +0.04y -0.1x, P_y = 84 +0.04x -0.1y. Evaluate at (1200,1800): P_x =72 +0.04(1800)-0.1(1200)=72+72-120=24. P_y =84+0.04(1200)-0.1(1800)=84+48-180=-48. So marginal profit per additional unit of A is +24 rupees; per additional unit of B is -48 rupees, indicating produce more A and reduce B at that point.
(i) P=R-C = 72x +84y +0.04xy -0.05x^2 -0.05y^2 -2000. (ii) P_x=72 +0.04y -0.1x, P_y=84 +0.04x -0.1y. At (1200,1800): P_x=72+0.04·1800 -0.1·1200 =72+72-120=24. P_y=84+0.04·1200 -0.1·1800 =84+48-180 = -48. Interpretation: increasing x by one unit near (1200,1800) increases profit by ≈ Rs.24; increasing y by one unit decreases profit by ≈ Rs.48.
W (x, y, z) = x² – xy + 3sinz, x, y, z ∈ R
L (x, y, z) = 6 + 5 (x – 2)- 2 (y + 1) + 3 (z)
= 6 + 5x – 10 – 2y – 2 + 3z
= 5x – 2y + 3z – 6
L (x, y, z) = 6 + 5 (x – 2)- 2 (y + 1) + 3 (z) = 6 + 5x – 10 – 2y – 2 + 3z = 5x – 2y + 3z – 6
L (x, y, z) = 2 – (x – 2) – 20 (y + 1)
= 2 – x + 2 – 20y – 20
= -x – 20y – 16
= -(x + 20y + 16)
= 2 – x + 2 – 20y – 20 = -x – 20y – 16 = -(x + 20y + 16)
First let us find v x, v y
Now, v x = $\frac{\partial v}{\partial x}$ = 2x – y
v y = $\frac{\partial v}{\partial y}$ = -x + $\frac { 1 }{ 2 }$ y
The differential is
dv = v x dx + v y dy
dv = (2x – y) dx + ($\frac { 1 }{ 2 }$ y – x) dy
The differential is dv = v x dx + v y dy dv = (2x – y) dx + ($\frac { 1 }{ 2 }$ y – x) dy
V(x, y, z) = xy + yz + zx
V x = y + z
V y = x + z
V z = y + x
The differential is dV = (y + z) dx + (x + z) dy + (y + x) dz
V y = x + z V z = y + x The differential is dV = (y + z) dx + (x + z) dy + (y + x) dz
u_x = 2x, u_y = 4. dx/dt = e^t, dy/dt = cos t. So du/dt = u_x dx/dt + u_y dy/dt = 2x·e^t + 4 cos t = 2e^t·e^t +4 cos t = 2e^{2t}+4 cos t. At t=0: 2·1 + 4·1 = 6.
du/dt = 2e^{2t} + 4 cos t; at t=0, du/dt = 6.
u (x, y, z) = xy²z³ x = sin t, y = cos t, z = 1 + e 2t
= y²z³ cos t – 2xyz³ sin t + 6 xy²z² e 2t
= cos²t (1 + e 2t )³ cost – 2 (sin t) cost (1 + e 2t )³ sin t + 6 (sin t) cos 2 t) (1 + e 2t )² e 2t
= (1 + e 2t )² [cos³t (1 + e 2t ) – sin t sin2t (1 + e 2t ) + 6 e 2t sin t cos²t]
= y²z³ cos t – 2xyz³ sin t + 6 xy²z² e 2t = cos²t (1 + e 2t )³ cost – 2 (sin t) cost (1 + e 2t )³ sin t + 6 (sin t) cos 2 t) (1 + e 2t )² e 2t = (1 + e 2t )² [cos³t (1 + e 2t ) – sin t sin2t (1 + e 2t ) + 6 e 2t sin t cos²t]
w (x, y, z) = x² + y² + z², x = e t, y = e t sin t and z = e t cos t
$\frac { dw }{ dt }$ = 2x e t + 2y (e t sin t + e t cos t) + 2z (e t cos t – e t sin t)
= 2 e 2t + 2 (e t sin t) (e t sin t + e t cos t) + 2 (e t cos t) (e t cos t – e t sin t)
= 2 e 2t [1 + sin²t + sin t cos t + cos²t – sin t cos t]
= 2 e 2t (1 + sin²t + cos²t)
[∵ sin²t + cos²t = 1]
= 2 e²t (1 + 1) = 4 e 2t
$\frac { dw }{ dt }$ = 4 e 2t
[∵ sin²t + cos²t = 1] = 2 e²t (1 + 1) = 4 e 2t $\frac { dw }{ dt }$ = 4 e 2t
U(x, y, z) = xyz, x = e -t, y = e -t cos t
$\frac { dU }{ dt }$ = -(e -t cos t sin t) e -t + e -t sin t [ e -t (cos t – sin t )] + e -2t cos t (cos t)
= -e -2t cos t sin t – e -2t sin t cos t – e -2t sin²t + e -2t cos²t
= -e -2t (2 sin t cos t + sin²t – cos²t)
= -e -2t [sin 2t – (cos²t – sin²t)]
= -e -2t (sin 2t + cos 2t)
= -e -2t (2 sin t cos t + sin²t – cos²t) = -e -2t [sin 2t – (cos²t – sin²t)] = -e -2t (sin 2t + cos 2t)
w(x, y) = 6x³ – 3xy + 2y²
w(x, y) = 6x³ – 3xy + 2y²
See the worked solution above.
U_x = e^{y} cos x, U_y = e^{y} sin x. x_s = 2 s t, y_s = t^2, so U_s = U_x x_s + U_y y_s = e^{y} cos x·2 s t + e^{y} sin x·t^2. Similarly x_t = s^2, y_t = 2 s t, so U_t = e^{y} cos x·s^2 + e^{y} sin x·2 s t. At s=t=1, x=y=1, substitute to obtain the stated values.
U_s = e^{y}(2 s t cos x + t^2 sin x); U_t = e^{y}(s^2 cos x + 2 s t sin x). At s=t=1: U_s = e(2 cos 1 + sin 1), U_t = e(cos 1 + 2 sin 1).
z (x, y) = x³ – 3x²y³
(3x² – 6xy³) e t – 9 (xy)² e -t
[3 (s e t )² – 6 (s e t ) (se -t )³]e t
-9 (s e t s e -t )² × e -t
= (3 s² e 2t – 6 s 4 e -2t ) e t – 9 s 4 e -t
= 3s² [(e 2t – 2s² e -2t ) e t -3 e -t s²]
$\frac{\partial z}{\partial s}$ = 3s² e t (e 2t -2s² e -2t – 3 e -2t s²)
$\frac{\partial z}{\partial t}$ = $\frac{\partial z}{\partial x}$ $\frac{\partial x}{\partial t}$ + $\frac{\partial z}{\partial y}$ $\frac{\partial y}{\partial t}$
= (3x² – 6xy³) (s e t )+ (-9x²y²) (- s e -t )
= [3 (s e t )² – 6 (s e t ) (s e -t )³] s e t + 9(se t s e -t )² s e -t
= (3 s² e 2t – 6 s 4 e -2t ) s e t + 9 s 5 e -t
= 3 s³ e 3t – 6 s 5 e -t + 9 s 5 e -t
= 3 s³ e 3t + 3 s 5 e -t
$\frac{\partial y}{\partial t}$ = 3 s³ (e 3t + s 2 e -t )
= 3 s³ e 3t – 6 s 5 e -t + 9 s 5 e -t = 3 s³ e 3t + 3 s 5 e -t $\frac{\partial y}{\partial t}$ = 3 s³ (e 3t + s 2 e -t )
= (y + z) × 1 + (x + z) × v + (y + x) × 1
= uv + u + v + (u – v + u + v) v+ (uv + u – v)
= uv + u + v + uv + uv + uv + u – v
= 4 uv + 2u
$\frac{\partial w}{\partial u}$ ($\frac{1}{2}$, 1) = 4 × $\frac{1}{2}$ × 1 + 2 × $\frac{1}{2}$ = 2 + 1 = 3
$\frac{\partial w}{\partial v}$ = $\frac{\partial W}{\partial x}$ $\frac{\partial x}{\partial v}$ + $\frac{\partial W}{\partial y}$ $\frac{\partial y}{\partial v}$ + $\frac{\partial W}{\partial z}$ $\frac{\partial z}{\partial v}$
= (y + z) (-1) + (x + z) u + (y + x) × 1
= -y – z + xu + zu + y + x
= -u – v + (u – v) u + (u + v) u + u – v
= -u – v + u² – vu + u² + vu + u – v
= 2u² – 2v
$\frac{\partial W}{\partial v}$ ($\frac{1}{2}$, 1) = 2 × $\frac{1}{4}$ – 2 × 1
= $\frac{1}{2}$ – 2 = –$\frac{3}{2}$
= 2u² – 2v $\frac{\partial W}{\partial v}$ ($\frac{1}{2}$, 1) = 2 × $\frac{1}{4}$ – 2 × 1 = $\frac{1}{2}$ – 2 = –$\frac{3}{2}$
(i) f(x, y) = x²y + 6x³ + 7
(ii) h(x, y) = $\frac { 6x^2y^3-πy^5+9x^4y }{ 2020x^2+2019y^2 }$
(iii) g(x, y, z) = $\frac { \sqrt{3x^2+5y^2+z^2} }{ 4x+7y }$
(iv) U(x, y, z) = xy + sin($\frac { y^2-2z^2 }{ xy }$)v
(i) f(x, y) = x²y + 6x³ + 7
f(λx, λy) = λ³x²y + 6λ³x³ + 7
There is no common λ in this equation.
∴ It is not homogeneous
Thus f is homogeneous with degree 3.
Thus g is homogeneous with degree 0.
There is no common λ
∴ It is not homogeneous.
Thus g is homogeneous with degree 0. There is no common λ ∴ It is not homogeneous.
f(x, y) = x³ – 2x²y + 3xy² + y³
f(λx, λy) = λ³x³ -2λ²x²λy + 3λxλ²y² + λ³y³
= λ³ (x³ – 2x²y + 3xy² + y³)
f is a homogeneous function of degree 3
By Euler’s Theorem,
x $\frac{\partial f}{\partial x}$ + y $\frac{\partial f}{\partial y}$ = 3x³ – 4x²y + 3xy² – 2x²y + 6xy² + 3y³
= 3x³ – 6x²y + 9xy² + 3y³
= 3(x³ – 2x²y + 3xy² + y³)
x $\frac{\partial f}{\partial x}$ + y $\frac{\partial f}{\partial y}$ = 3 f
We verified the Euler’s Theorem.
= 3(x³ – 2x²y + 3xy² + y³) x $\frac{\partial f}{\partial x}$ + y $\frac{\partial f}{\partial y}$ = 3 f We verified the Euler’s Theorem.
g (x, y) = x log(y/x)
g (tx, ty) = tx log($\frac { ty }{ tx }$)
g is a homogeneous function of degree 1.
∴ By Euler’s Theorem,
Hence verified
g is a homogeneous function of degree 1. ∴ By Euler’s Theorem, Hence verified
u_x = 2x + y, u_y = x + 2y. So x u_x + y u_y = x(2x+y) + y(x+2y) = 2x^2 +2xy +2y^2 +? Combine = 3(x^2 + x y + y^2)=3u.
x u_x + y u_y = 3u (holds).
Write $v=\log(x^2+y^2)-\log(x+y)$. Then $v_x=\dfrac{2x}{x^2+y^2}-\dfrac{1}{x+y}$ and $v_y=\dfrac{2y}{x^2+y^2}-\dfrac{1}{x+y}$. Hence $x v_x+y v_y=\dfrac{2x^2+2y^2}{x^2+y^2}-\dfrac{x+y}{x+y}=2-1=1$. (Equivalently, $\dfrac{x^2+y^2}{x+y}$ is homogeneous of degree $1$, so by Euler's theorem $x v_x+y v_y=1$.)
$x\dfrac{\partial v}{\partial x}+y\dfrac{\partial v}{\partial y}=1$ (proved).
x $\frac{\partial v}{\partial x}$ + y$\frac{\partial u}{\partial y}$ = 1.v
Hence Proved
Hence Proved
Relative error in radius = 0.02/10 = 0.002 = 0.2%. Area ∝ r^2 so percentage error doubles: 2×0.2% = 0.4%.
If y = x^{1/5}, then dy/y ≈ (1/5) dx/x. So percentage error in y is 1/5 of percentage error in x.
u_x = e^{x^2+y^2} · 2x = 2x u.
(A) xy e xy (B) (1 + xy)e xy (C) (1 + y) e xy (D) (1 + x)e xyv
(b) (1 + xy)e xy
Hint:
f(x, y) = e xy
$\frac{\partial f}{\partial y}$ = x e xy (x) = xe xy
$\frac{\partial^2 f}{\partial x \partial y}$ = x e xy (y) + e xy = e xy (1 + xy)
(1 + xy)e xy
(A) x y log x (B) y log x (C) y x y-1 (D) x log yv
(c) y x y-1
Hint:
w(x, y) = x y
$\frac{\partial w}{\partial x}$ = y x y-1
y x y-1
f_x = y e^{xy}. Then f_{xy} = ∂/∂y (y e^{xy}) = e^{xy} + xy e^{xy} = (1+xy)e^{xy}.
V=x^3, dV ≈ 3x^2 dx = 3·4^2·0.1 = 3·16·0.1 = 4.8 cm^3.
dS = S'(x_0) dx = 12 x_0 dx, so the approximate change is 12 x_0 dx.
ΔS ≈ dS = 12 x_0 dx
dV ≈ 3x^2 dx = 3x^2(0.01x)=0.03 x^3.
(A) 6 e 2t + 5 sin t – 4 cos t sin t (B) 6 e 2t – 5 sin t – 4 cos t sin t (C) 3 e 2t t + 5 sin t + 4 cos t sin t (D) 3 e 2t – 5 sint + 4 cos t sin tv
(a) 6 e 2t + 5 sin t – 4 cos t sin t
Hint:
x = e t, y = cos t
= 6 x e t + (-5 + 4y) – sin t
= 6 e t e t + 5 sin t – 4 cos t sin t
= 6e 2t + 5 sin t – 4 cos t sin t
6 e 2t + 5 sin t – 4 cos t sin t
f'(x)=1 - x^{-2}, so df=(1-1/x^2)dx.
(A) -4 (B) -3 (C) -7 (D) 13v
(c) -7
Hint:
u (x, y) = x² + 3xy + y – 2019
$\frac{\partial u}{\partial x}$ = 2x + 3y
$\frac{\partial u}{\partial x}$| (4, -5) = 8 – 15 = -7
-7
L(x)=f(a)+f'(a)(x-a) with a=π/2, f(a)=0, f'(a)=-1 gives L(x) = -1·(x-π/2) = -x + π/2.
w_x = 2(x-y)+2(x-z), w_y = 2(y-z)+2(y-x), w_z = 2(z-x)+2(z-y). Summing gives 0.
f_x = y+z, f_z = x+y, so f_x - f_z = (y+z)-(x+y)=z-x.