10Mathematics I Study Guide: Total Differentials, Implicit Functions, and Chain Rule

Exercise 1: First and Second Order Total Differentials

The total differential of a function represents the change in the function value as a result of small changes in its input variables. For a function f(x,y)f(x,y), the first-order total differential is defined as: df(x,y)=fxdx+fydydf(x, y) = \frac{\partial f}{\partial x} dx + \frac{\partial f}{\partial y} dy

The second-order total differential is defined as: d2f(x,y)=2fx2dx2+22fxydxdy+2fy2dy2d^2f(x, y) = \frac{\partial^2 f}{\partial x^2} dx^2 + 2 \frac{\partial^2 f}{\partial x \partial y} dx dy + \frac{\partial^2 f}{\partial y^2} dy^2

a. Function f(x,y)=x2+y2f(x, y) = x^2 + y^2

First-order Partial Derivatives:

  • fx=2x\frac{\partial f}{\partial x} = 2x

  • fy=2y\frac{\partial f}{\partial y} = 2y

Second-order Partial Derivatives:

  • 2fx2=x(2x)=2\frac{\partial^2 f}{\partial x^2} = \frac{\partial}{\partial x}(2x) = 2

  • 2fy2=y(2y)=2\frac{\partial^2 f}{\partial y^2} = \frac{\partial}{\partial y}(2y) = 2

  • 2fxy=x(2y)=0\frac{\partial^2 f}{\partial x \partial y} = \frac{\partial}{\partial x}(2y) = 0

  • 2fyx=y(2x)=0\frac{\partial^2 f}{\partial y \partial x} = \frac{\partial}{\partial y}(2x) = 0

Differentials:

  • First order: df(x,y)=2xdx+2ydydf(x, y) = 2x dx + 2y dy

  • Second order: d2f(x,y)=2dx2+2dy2d^2f(x, y) = 2 dx^2 + 2 dy^2

b. Function f(x,y)=exyf(x, y) = e^{xy}

First-order Partial Derivatives:

  • fx=exy×y\frac{\partial f}{\partial x} = e^{xy} \times y

  • fy=exy×x\frac{\partial f}{\partial y} = e^{xy} \times x

Second-order Partial Derivatives:

  • 2fx2=x(yexy)=y2exy\frac{\partial^2 f}{\partial x^2} = \frac{\partial}{\partial x}(y e^{xy}) = y^2 e^{xy}

  • 2fy2=y(xexy)=x2exy\frac{\partial^2 f}{\partial y^2} = \frac{\partial}{\partial y}(x e^{xy}) = x^2 e^{xy}

  • 2fxy=x(xexy)=exy+x(yexy)=exy×(xy+1)\frac{\partial^2 f}{\partial x \partial y} = \frac{\partial}{\partial x}(x e^{xy}) = e^{xy} + x(y e^{xy}) = e^{xy} \times (xy + 1)

  • 2fyx=y(yexy)=exy+y(xexy)=exy×(xy+1)\frac{\partial^2 f}{\partial y \partial x} = \frac{\partial}{\partial y}(y e^{xy}) = e^{xy} + y(x e^{xy}) = e^{xy} \times (xy + 1)

Differentials:

  • First order: df(x,y)=exy×(ydx+xdy)df(x, y) = e^{xy} \times (y dx + x dy)

  • Second order: d2f(x,y)=exy×(y2dx2+2(xy+1)dxdy+x2dy2)d^2f(x, y) = e^{xy} \times (y^2 dx^2 + 2(xy + 1) dx dy + x^2 dy^2)

c. Function f(x,y)=sin(xy)cos(x)f(x, y) = \sin(xy) \cos(x)

First-order Partial Derivatives:

  • fx=cos(xy)ycos(x)sin(xy)sin(x)\frac{\partial f}{\partial x} = \cos(xy) y \cos(x) - \sin(xy) \sin(x)

  • fy=cos(xy)xcos(x)\frac{\partial f}{\partial y} = \cos(xy) x \cos(x)

Second-order Partial Derivatives:

  • 2fx2=2sin(xy)ycos(x)2cos(xy)ysin(x)sin(xy)cos(x)\frac{\partial^2 f}{\partial x^2} = -2 \sin(xy) y \cos(x) - 2 \cos(xy) y \sin(x) - \sin(xy) \cos(x), which simplifies in the text to (2sin(xy)ycos(x)2cos(xy)ysin(x))dx2(-2 \sin(xy) y \cos(x) - 2 \cos(xy) y \sin(x)) dx^2

  • 2fy2=sin(xy)x2cos(x)\frac{\partial^2 f}{\partial y^2} = -\sin(xy) x^2 \cos(x)

  • Mixed partials (2fyx\frac{\partial^2 f}{\partial y \partial x}): sin(xy)ycos(x)+cos(xy)cos(x)sin(xy)sin(x)x\sin(xy) y \cos(x) + \cos(xy) \cos(x) - \sin(xy) \sin(x) x

Differentials:

  • First order: df(x,y)=(cos(xy)cos(x)ysin(xy)sin(x))dx+cos(xy)xcos(x)dydf(x, y) = (\cos(xy) \cos(x) y - \sin(xy) \sin(x)) dx + \cos(xy) x \cos(x) dy

  • Second order: d2f(x,y)=(2sin(xy)ycos(x)2cos(xy)ysin(x))dx2+2(cos(xy)cos(x)sin(xy)ycos(x)cos(xy)xsin(x))dxdysin(xy)x2cos(x)dy2d^2f(x, y) = (-2 \sin(xy) y \cos(x) - 2 \cos(xy) y \sin(x)) dx^2 + 2(\cos(xy) \cos(x) - \sin(xy) y \cos(x) - \cos(xy) x \sin(x)) dx dy - \sin(xy) x^2 \cos(x) dy^2

Exercise 2: Checking for Total Differentials

A differential expression in the form Qdx+PdyQ dx + P dy is a total (exact) differential if it satisfies Schwarz's Theorem (the equality of mixed partial derivatives), meaning: Qy=Px\frac{\partial Q}{\partial y} = \frac{\partial P}{\partial x}

a. x×y2dx+x2×ydyx \times y^2 dx + x^2 \times y dy

  • Q=xy2Qy=2xyQ = xy^2 \rightarrow \frac{\partial Q}{\partial y} = 2xy

  • P=x2yPx=2xyP = x^2y \rightarrow \frac{\partial P}{\partial x} = 2xy

  • Result: Since 2xy=2xy2xy = 2xy, this is a total differential.

b. sin(xy)dx+sin(xy)dy\sin(xy) dx + \sin(xy) dy

  • Q=sin(xy)Qy=cos(xy)xQ = \sin(xy) \rightarrow \frac{\partial Q}{\partial y} = \cos(xy)x

  • P=sin(xy)Px=cos(xy)yP = \sin(xy) \rightarrow \frac{\partial P}{\partial x} = \cos(xy)y

  • Result: Since cos(xy)xcos(xy)y\cos(xy)x \neq \cos(xy)y, this is not a total differential (it is incomplete).

c. xydx+dy\frac{x}{y} dx + dy

  • Q=xyQy=xy2Q = \frac{x}{y} \rightarrow \frac{\partial Q}{\partial y} = -\frac{x}{y^2}

  • P=1Px=0P = 1 \rightarrow \frac{\partial P}{\partial x} = 0

  • Result: Since QyPx\frac{\partial Q}{\partial y} \neq \frac{\partial P}{\partial x}, this is not a total differential.

d. xx2+y2dx+yx2+y2dy\frac{x}{\sqrt{x^2 + y^2}} dx + \frac{y}{\sqrt{x^2 + y^2}} dy

  • Q=x(x2+y2)12Qy=xy(x2+y2)32Q = x(x^2 + y^2)^{-\frac{1}{2}} \rightarrow \frac{\partial Q}{\partial y} = -\frac{xy}{(x^2 + y^2)^{\frac{3}{2}}}

  • P=y(x2+y2)12Px=xy(x2+y2)32P = y(x^2 + y^2)^{-\frac{1}{2}} \rightarrow \frac{\partial P}{\partial x} = -\frac{xy}{(x^2 + y^2)^{\frac{3}{2}}}

  • Result: The derivatives are equal, so this is a total differential.

Exercise 3: Implicit Functions and the Van-der-Waals Gas

The van-der-Waals equation of state is written as an implicit function F(p,V,T)F(p, V, T), where pressure pp, volume VV, and temperature TT are variables, and aa, bb, and RR are constants: F(p,V,T)=(p+aV2)(Vb)RT=0F(p, V, T) = (p + \frac{a}{V^2})(V - b) - RT = 0

a. Temperature Dependence of Volume at Constant Pressure

To find (VT)p\left( \frac{\partial V}{\partial T} \right)_p, we use the theorem of implicit functions: (VT)p=FTFV\left( \frac{\partial V}{\partial T} \right)_p = - \frac{\frac{\partial F}{\partial T}}{\frac{\partial F}{\partial V}}

Partial Derivatives:

  • FT=R\frac{\partial F}{\partial T} = -R

  • FV=V[(p+aV2)(Vb)]=(p+aV2)×(1)+(Vb)×(2aV3)\frac{\partial F}{\partial V} = \frac{\partial}{\partial V} [(p + a V^{-2})(V-b)] = (p + a V^{-2}) \times (1) + (V-b) \times (-2a V^{-3})

  • FV=p+aV22a(Vb)V3\frac{\partial F}{\partial V} = p + \frac{a}{V^2} - \frac{2a(V-b)}{V^3}

Calculation: (VT)p=Rp+aV22a(Vb)V3=RpaV2+2abV3\left( \frac{\partial V}{\partial T} \right)_p = - \frac{-R}{p + \frac{a}{V^2} - \frac{2a(V-b)}{V^3}} = \frac{R}{p - \frac{a}{V^2} + \frac{2ab}{V^3}}

b. Temperature Dependence of Pressure at Constant Volume

To find (pT)V\left( \frac{\partial p}{\partial T} \right)_V, we use: (pT)V=FTFp\left( \frac{\partial p}{\partial T} \right)_V = - \frac{\frac{\partial F}{\partial T}}{\frac{\partial F}{\partial p}}

Partial Derivatives:

  • FT=R\frac{\partial F}{\partial T} = -R

  • Fp=Vb\frac{\partial F}{\partial p} = V - b

Calculation: (pT)V=RVb=RVb\left( \frac{\partial p}{\partial T} \right)_V = - \frac{-R}{V - b} = \frac{R}{V - b}

c. Difference of Molar Heat Capacities

The expression to calculate is ΔC=T×(pT)V×(VT)p\Delta C = T \times \left( \frac{\partial p}{\partial T} \right)_V \times \left( \frac{\partial V}{\partial T} \right)_p.

Substitution Step 1: ΔC=T×RVb×Rp+aV22a(Vb)V3\Delta C = T \times \frac{R}{V - b} \times \frac{R}{p + \frac{a}{V^2} - \frac{2a(V-b)}{V^3}}

Substitution Step 2 (Eliminating pp): From the implicit equation, p=RTVbaV2p = \frac{RT}{V-b} - \frac{a}{V^2}. Substituting this into the denominator for the volume derivative: Denominator=(RTVbaV2)+aV22a(Vb)V3=RTVb2a(Vb)V3\text{Denominator} = (\frac{RT}{V-b} - \frac{a}{V^2}) + \frac{a}{V^2} - \frac{2a(V-b)}{V^3} = \frac{RT}{V-b} - \frac{2a(V-b)}{V^3}

Final Result: ΔC=T×RVb×RRTVb2a(Vb)V3\Delta C = T \times \frac{R}{V-b} \times \frac{R}{\frac{RT}{V-b} - \frac{2a(V-b)}{V^3}} Multiplying the fractions results in: ΔC=TR2RT2a(Vb)2V3=R12a(Vb)2RTV3\Delta C = \frac{T R^2}{RT - \frac{2a(V-b)^2}{V^3}} = \frac{R}{1 - \frac{2a(V-b)^2}{RT V^3}}

Exercise 4: Variable Substitution and Chain Rule

Given the equation: yzxxzy=0y \frac{\partial z}{\partial x} - x \frac{\partial z}{\partial y} = 0, where z=z(x,y)z = z(x,y).

Substitution

Replace xx and yy with new variables u=xu = x and v=x2+y2v = x^2 + y^2. We now treat zz as a function of uu and vv (z(u,v)z(u, v)).

Chain Rule Application

For z(u(x,y),v(x,y))z(u(x,y), v(x,y)): zx=zuux+zvvx=zu(1)+zv(2x)\frac{\partial z}{\partial x} = \frac{\partial z}{\partial u} \frac{\partial u}{\partial x} + \frac{\partial z}{\partial v} \frac{\partial v}{\partial x} = \frac{\partial z}{\partial u} (1) + \frac{\partial z}{\partial v} (2x) zy=zuuy+zvvy=zu(0)+zv(2y)\frac{\partial z}{\partial y} = \frac{\partial z}{\partial u} \frac{\partial u}{\partial y} + \frac{\partial z}{\partial v} \frac{\partial v}{\partial y} = \frac{\partial z}{\partial u} (0) + \frac{\partial z}{\partial v} (2y)

Transforming the Equation

Substitute the partial derivatives back into the original equation: y(zu+2xzv)x(2yzv)=0y(\frac{\partial z}{\partial u} + 2x \frac{\partial z}{\partial v}) - x(2y \frac{\partial z}{\partial v}) = 0 yzu+2xyzv2xyzv=0y \frac{\partial z}{\partial u} + 2xy \frac{\partial z}{\partial v} - 2xy \frac{\partial z}{\partial v} = 0 yzu=0y \frac{\partial z}{\partial u} = 0

Interpretation

Since the equation must hold for arbitrary values of yy, it implies that zu=0\frac{\partial z}{\partial u} = 0. This means function zz does not depend on uu; it depends only on vv. Therefore, z=z(v)=z(x2+y2)z = z(v) = z(x^2 + y^2). This shows that the function is constant on any circle where x2+y2x^2 + y^2 is constant (e.g., rotational symmetry). Examples include z=x2+y2z = x^2 + y^2 or z=ex2+y2z = e^{x^2+y^2}.